Influence of local calibration on the quality of online wet weather discharge monitoring: feedback from five international case studies.

PubMed

Caradot, Nicolas; Sonnenberg, Hauke; Rouault, Pascale; Gruber, Günter; Hofer, Thomas; Torres, Andres; Pesci, Maria; Bertrand-Krajewski, Jean-Luc

2015-01-01

This paper reports about experiences gathered from five online monitoring campaigns in the sewer systems of Berlin (Germany), Graz (Austria), Lyon (France) and Bogota (Colombia) using ultraviolet-visible (UV-VIS) spectrometers and turbidimeters. Online probes are useful for the measurement of highly dynamic processes, e.g. combined sewer overflows (CSO), storm events, and river impacts. The influence of local calibration on the quality of online chemical oxygen demand (COD) measurements of wet weather discharges has been assessed. Results underline the need to establish local calibration functions for both UV-VIS spectrometers and turbidimeters. It is suggested that practitioners calibrate locally their probes using at least 15-20 samples. However, these samples should be collected over several events and cover most of the natural variability of the measured concentration. For this reason, the use of automatic peristaltic samplers in parallel to online monitoring is recommended with short representative sampling campaigns during wet weather discharges. Using reliable calibration functions, COD loads of CSO and storm events can be estimated with a relative uncertainty of approximately 20%. If no local calibration is established, concentrations and loads are estimated with a high error rate, questioning the reliability and meaning of the online measurement. Similar results have been obtained for total suspended solids measurements.

Event Processing in the Visual World: Projected Motion Paths during Spoken Sentence Comprehension

ERIC Educational Resources Information Center

Kamide, Yuki; Lindsay, Shane; Scheepers, Christoph; Kukona, Anuenue

2016-01-01

Motion events in language describe the movement of an entity to another location along a path. In 2 eye-tracking experiments, we found that comprehension of motion events involves the online construction of a spatial mental model that integrates language with the visual world. In Experiment 1, participants listened to sentences describing the…

Process modeling and bottleneck mining in online peer-review systems.

PubMed

Premchaiswadi, Wichian; Porouhan, Parham

2015-01-01

This paper is divided into three main parts. In the first part of the study, we captured, collected and formatted an event log describing the handling of reviews for proceedings of an international conference in Thailand. In the second part, we used several process mining techniques in order to discover process models, social, organizational, and hierarchical structures from the proceeding's event log. In the third part, we detected the deviations and bottlenecks of the peer review process by comparing the observed events (i.e., authentic dataset) with a pre-defined model (i.e., master map). Finally, we investigated the performance information as well as the total waiting time in order to improve the effectiveness and efficiency of the online submission and peer review system for the prospective conferences and seminars. Consequently, the main goals of the study were as follows: (1) to convert the collected event log into the appropriate format supported by process mining analysis tools, (2) to discover process models and to construct social networks based on the collected event log, and (3) to find deviations, discrepancies and bottlenecks between the collected event log and the master pre-defined model. The results showed that although each paper was initially sent to three different reviewers; it was not always possible to make a decision after the first round of reviewing; therefore, additional reviewers were invited. In total, all the accepted and rejected manuscripts were reviewed by an average of 3.9 and 3.2 expert reviewers, respectively. Moreover, obvious violations of the rules and regulations relating to careless or inappropriate peer review of a manuscript-committed by the editorial board and other staff-were identified. Nine blocks of activity in the authentic dataset were not completely compatible with the activities defined in the master model. Also, five of the activity traces were not correctly enabled, and seven activities were missed within the online submission system. On the other hand, dealing with the feedback (comments) received from the first and the third reviewers; the conference committee members and the organizers did not attend to those feedback/comments in a timely manner.

Temporal dynamics of online petitions.

PubMed

Böttcher, Lucas; Woolley-Meza, Olivia; Brockmann, Dirk

2017-01-01

Online petitions are an important avenue for direct political action, yet the dynamics that determine when a petition will be successful are not well understood. Here we analyze the temporal characteristics of online-petition signing behavior in order to identify systematic differences between popular petitions, which receive a high volume of signatures, and unpopular ones. We find that, in line with other temporal characterizations of human activity, the signing process is typically non-Poissonian and non-homogeneous in time. However, this process exhibits anomalously high memory for human activity, possibly indicating that synchronized external influence or contagion play and important role. More interestingly, we find clear differences in the characteristics of the inter-event time distributions depending on the total number of signatures that petitions receive, independently of the total duration of the petitions. Specifically, popular petitions that attract a large volume of signatures exhibit more variance in the distribution of inter-event times than unpopular petitions with only a few signatures, which could be considered an indication that the former are more bursty. However, petitions with large signature volume are less bursty according to measures that consider the time ordering of inter-event times. Our results, therefore, emphasize the importance of accounting for time ordering to characterize human activity.

Finding Savings in Community Use of Schools

ERIC Educational Resources Information Center

Gandy, Julia

2013-01-01

This article reports on the growing challenge of managing community groups using educational facilities for meetings, athletics, and special events. It describes how, by using an online scheduling software program, one school district was able to track payments and save time and money with its event and facility scheduling process.

The role of character-based knowledge in online narrative comprehension: evidence from eye movements and ERPs.

PubMed

Filik, Ruth; Leuthold, Hartmut

2013-04-19

Little is known about the on-line evaluation of information relating to well-known story characters during text comprehension. For example, it is not clear in how much detail readers represent character-based information, and the time course over which this information is utilized during on-line language comprehension. We describe an event-related potential (ERP) study (Experiment 1) and an eye-tracking study (Experiment 2) investigating whether, and when, readers utilize their prior knowledge of a character in processing event information. Participants read materials in which an event was described that either did or did not fit with the character's typical behavior. ERPs elicited by the critical word revealed an N400 effect when the action described did not fit with the character's typical behavior. Results from early eye movement measures supported these findings, and later measures suggested that such violations were more easily accommodated for well-known fictional characters than real-world characters. Copyright © 2013 Elsevier B.V. All rights reserved.

Generalized event knowledge activation during online sentence comprehension

PubMed Central

Metusalem, Ross; Kutas, Marta; Urbach, Thomas P.; Hare, Mary; McRae, Ken; Elman, Jeffrey L.

2012-01-01

Recent research has demonstrated that knowledge of real-world eventsplays an important role inguiding online language comprehension. The present study addresses the scope of event knowledge activation during the course of comprehension, specifically investigating whether activation is limited to those knowledge elements that align with the local linguistic context.The present study addresses this issue by analyzing event-related brain potentials (ERPs) recorded as participants read brief scenariosdescribing typical real-world events. Experiment 1 demonstratesthat a contextually anomalous word elicits a reduced N400 if it is generally related to the described event, even when controlling for the degree of association of this word with individual words in the preceding context and with the expected continuation. Experiment 2 shows that this effect disappears when the discourse context is removed.These findings demonstrate that during the course of incremental comprehension, comprehenders activate general knowledge about the described event, even at points at which this knowledge would constitute an anomalous continuation of the linguistic stream. Generalized event knowledge activationcontributes to mental representations of described events, is immediately available to influence language processing, and likely drives linguistic expectancy generation. PMID:22711976

Do morphemes matter when reading compound words with transposed letters? Evidence from eye-tracking and event-related potentials

DOE PAGES

Stites, Mallory C.; Federmeier, Kara D.; Christianson, Kiel

2016-08-06

We investigate the online processing consequences of encountering compound words with transposed letters (TLs), in order to determine if cross-morpheme TLs are more disruptive to reading than those within a single morpheme, as would be predicted by accounts of obligatory morpho-orthopgrahic decomposition. Two measures of online processing, eye movements and event-related potentials (ERPs), were collected in separate experiments. Participants read sentences containing correctly spelled compound words (cupcake), or compounds with TLs occurring either across morphemes (cucpake) or within one morpheme (cupacke). Results showed that between- and within-morpheme transpositions produced equal processing costs in both measures, in the form of longermore » reading times (Experiment 1) and a late posterior positivity (Experiment 2) that did not differ between conditions. Our findings converge to suggest that within- and between-morpheme TLs are equally disruptive to recognition, providing evidence against obligatory morpho-orthographic processing and in favour of whole-word access of English compound words during sentence reading.« less

Do Morphemes Matter when Reading Compound Words with Transposed Letters? Evidence from Eye-Tracking and Event-Related Potentials

PubMed Central

Stites, Mallory C.; Federmeier, Kara D.; Christianson, Kiel

2017-01-01

The current study investigates the online processing consequences of encountering compound words with transposed letters (TLs), to determine if TLs that cross morpheme boundaries are more disruptive to reading than those within a single morpheme, as would be predicted by accounts of obligatory morpho-orthopgrahic decomposition. Two measures of online processing, eye movements and event-related potentials (ERPs), were collected in separate experiments. Participants read sentences containing correctly spelled compound words (cupcake), or compounds with TLs occurring either across morpheme boundaries (cucpake) or within one morpheme (cupacke). Results showed that between- and within-morpheme transpositions produced equal processing costs in both measures, in the form of longer reading times (Experiment 1) and a late posterior positivity (Experiment 2) that did not differ between conditions. Findings converge to suggest that within- and between-morpheme TLs are equally disruptive to recognition, providing evidence against obligatory morpho-orthographic processing and in favor of whole-word access of English compound words during sentence reading. PMID:28791313

Do morphemes matter when reading compound words with transposed letters? Evidence from eye-tracking and event-related potentials

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

Stites, Mallory C.; Federmeier, Kara D.; Christianson, Kiel

We investigate the online processing consequences of encountering compound words with transposed letters (TLs), in order to determine if cross-morpheme TLs are more disruptive to reading than those within a single morpheme, as would be predicted by accounts of obligatory morpho-orthopgrahic decomposition. Two measures of online processing, eye movements and event-related potentials (ERPs), were collected in separate experiments. Participants read sentences containing correctly spelled compound words (cupcake), or compounds with TLs occurring either across morphemes (cucpake) or within one morpheme (cupacke). Results showed that between- and within-morpheme transpositions produced equal processing costs in both measures, in the form of longermore » reading times (Experiment 1) and a late posterior positivity (Experiment 2) that did not differ between conditions. Our findings converge to suggest that within- and between-morpheme TLs are equally disruptive to recognition, providing evidence against obligatory morpho-orthographic processing and in favour of whole-word access of English compound words during sentence reading.« less

Temporal dynamics of online petitions

PubMed Central

Woolley-Meza, Olivia; Brockmann, Dirk

2017-01-01

Online petitions are an important avenue for direct political action, yet the dynamics that determine when a petition will be successful are not well understood. Here we analyze the temporal characteristics of online-petition signing behavior in order to identify systematic differences between popular petitions, which receive a high volume of signatures, and unpopular ones. We find that, in line with other temporal characterizations of human activity, the signing process is typically non-Poissonian and non-homogeneous in time. However, this process exhibits anomalously high memory for human activity, possibly indicating that synchronized external influence or contagion play and important role. More interestingly, we find clear differences in the characteristics of the inter-event time distributions depending on the total number of signatures that petitions receive, independently of the total duration of the petitions. Specifically, popular petitions that attract a large volume of signatures exhibit more variance in the distribution of inter-event times than unpopular petitions with only a few signatures, which could be considered an indication that the former are more bursty. However, petitions with large signature volume are less bursty according to measures that consider the time ordering of inter-event times. Our results, therefore, emphasize the importance of accounting for time ordering to characterize human activity. PMID:28542492

Online Meta-data Collection and Monitoring Framework for the STAR Experiment at RHIC

NASA Astrophysics Data System (ADS)

Arkhipkin, D.; Lauret, J.; Betts, W.; Van Buren, G.

2012-12-01

The STAR Experiment further exploits scalable message-oriented model principles to achieve a high level of control over online data streams. In this paper we present an AMQP-powered Message Interface and Reliable Architecture framework (MIRA), which allows STAR to orchestrate the activities of Meta-data Collection, Monitoring, Online QA and several Run-Time and Data Acquisition system components in a very efficient manner. The very nature of the reliable message bus suggests parallel usage of multiple independent storage mechanisms for our meta-data. We describe our experience with a robust data-taking setup employing MySQL- and HyperTable-based archivers for meta-data processing. In addition, MIRA has an AJAX-enabled web GUI, which allows real-time visualisation of online process flow and detector subsystem states, and doubles as a sophisticated alarm system when combined with complex event processing engines like Esper, Borealis or Cayuga. The performance data and our planned path forward are based on our experience during the 2011-2012 running of STAR.

Online Analysis Enhances Use of NASA Earth Science Data

NASA Technical Reports Server (NTRS)

Acker, James G.; Leptoukh, Gregory

2007-01-01

Giovanni, the Goddard Earth Sciences Data and Information Services Center (GES DISC) Interactive Online Visualization and Analysis Infrastructure, has provided researchers with advanced capabilities to perform data exploration and analysis with observational data from NASA Earth observation satellites. In the past 5-10 years, examining geophysical events and processes with remote-sensing data required a multistep process of data discovery, data acquisition, data management, and ultimately data analysis. Giovanni accelerates this process by enabling basic visualization and analysis directly on the World Wide Web. In the last two years, Giovanni has added new data acquisition functions and expanded analysis options to increase its usefulness to the Earth science research community.

Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization

PubMed Central

Sanchez-Perez, Gabriel; Toscano-Medina, Karina; Martinez-Hernandez, Victor; Olivares-Mercado, Jesus; Sanchez, Victor

2018-01-01

In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. Data gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users’ opinions and make predictions about real events. Cyber-attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber-attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ1 regularization. PMID:29710833

Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ₁ Regularization.

PubMed

Hernandez-Suarez, Aldo; Sanchez-Perez, Gabriel; Toscano-Medina, Karina; Martinez-Hernandez, Victor; Perez-Meana, Hector; Olivares-Mercado, Jesus; Sanchez, Victor

2018-04-29

In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. Data gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users’ opinions and make predictions about real events. Cyber-attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber-attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ 1 regularization.

An Evaluation of Short-Term Distributed Online Learning Events

ERIC Educational Resources Information Center

Barker, Bradley; Brooks, David

2005-01-01

The purpose of this study was to evaluate the effectiveness of short-term distributed online training events using an adapted version of the compressed evaluation form developed by Wisher and Curnow (1998). Evaluating online distributed training events provides insight into course effectiveness, the contribution of prior knowledge to learning, and…

Grammatical Processing of Spoken Language in Child and Adult Language Learners

ERIC Educational Resources Information Center

Felser, Claudia; Clahsen, Harald

2009-01-01

This article presents a selective overview of studies that have investigated auditory language processing in children and late second-language (L2) learners using online methods such as event-related potentials (ERPs), eye-movement monitoring, or the cross-modal priming paradigm. Two grammatical phenomena are examined in detail, children's and…

Measuring Cognitive and Metacognitive Regulatory Processes during Hypermedia Learning: Issues and Challenges

ERIC Educational Resources Information Center

Azevedo, Roger; Moos, Daniel C.; Johnson, Amy M.; Chauncey, Amber D.

2010-01-01

Self-regulated learning (SRL) with hypermedia environments involves a complex cycle of temporally unfolding cognitive and metacognitive processes that impact students' learning. We present several methodological issues related to treating SRL as an event and strengths and challenges of using online trace methodologies to detect, trace, model, and…

EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone

PubMed Central

Debener, Stefan; Emkes, Reiner; Volkening, Nils; Fudickar, Sebastian; Bleichner, Martin G.

2017-01-01

Objective Our aim was the development and validation of a modular signal processing and classification application enabling online electroencephalography (EEG) signal processing on off-the-shelf mobile Android devices. The software application SCALA (Signal ProCessing and CLassification on Android) supports a standardized communication interface to exchange information with external software and hardware. Approach In order to implement a closed-loop brain-computer interface (BCI) on the smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data processing, classification, and delivery of feedback to the user. Main Results We have implemented the open source signal processing application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA with a well-established auditory selective attention paradigm and report above chance level classification results for all participants. Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. Significance We present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can easily implement other paradigms. PMID:29349070

EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone.

PubMed

Blum, Sarah; Debener, Stefan; Emkes, Reiner; Volkening, Nils; Fudickar, Sebastian; Bleichner, Martin G

2017-01-01

Our aim was the development and validation of a modular signal processing and classification application enabling online electroencephalography (EEG) signal processing on off-the-shelf mobile Android devices. The software application SCALA (Signal ProCessing and CLassification on Android) supports a standardized communication interface to exchange information with external software and hardware. In order to implement a closed-loop brain-computer interface (BCI) on the smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data processing, classification, and delivery of feedback to the user. We have implemented the open source signal processing application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA with a well-established auditory selective attention paradigm and report above chance level classification results for all participants. Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. We present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can easily implement other paradigms.

Perceptions and Expectations of Online Graduate Students Regarding Synchronous Events

ERIC Educational Resources Information Center

Bailie, Jeffrey L.

2015-01-01

The purpose of this study was to gain an increased understanding of the perceptions and expectations of a group of experienced online student participants regarding synchronous events in the higher learning setting. Areas of inquiry posed to online student panelists included whether they expected live events to be included in their classes, and…

Young women selling sex online – narratives on regulating feelings

PubMed Central

Jonsson, Linda S; Svedin, Carl Göran; Hydén, Margareta

2015-01-01

The current study concerns young women’s life stories of their experiences selling sex online before the age of 18. The aim was to gain an understanding of young women’s perceptions of the reasons they started, continued, and stopped selling sex. The study included interviews with 15 young women between the ages of 15 and 25 (M=18.9). Thematic analysis was used to identify similarities and differences in the narratives. Three themes and eight sub-themes were identified in relation to different stages in their lives in the sex trade. The themes were organized into three parts, each with its own storyline: “Entering – adverse life experiences”; traumatic events: feeling different and being excluded. “Immersion – using the body as a tool for regulating feelings”; being seen: being touched: being in control: affect regulation and self-harming. “Exiting – change or die”; living close to death: the process of quitting. The informants all had stable social lives in the sense that they had roofs over their heads, food to eat, and no substance-abuse issues. None had a third party who arranged the sexual contacts and none were currently trafficked. They described how their experiences of traumatic events and of feeling different and excluded had led them into the sex trade. Selling sex functioned as a way to be seen, to handle traumatic events, and to regulate feelings. Professionals working with young people who sell sex online need to understand the complex web of mixed feelings and emotional needs that can play a role in selling sex. Young people selling sex might need guidance in relationship building as well as help processing traumatic experiences and ending self-harming behavior. Further studies are needed on the functions of online sex selling and on the exit process for young people, in order to prevent entrance and facilitate exiting. PMID:25733944

Young women selling sex online - narratives on regulating feelings.

PubMed

Jonsson, Linda S; Svedin, Carl Göran; Hydén, Margareta

2015-01-01

The current study concerns young women's life stories of their experiences selling sex online before the age of 18. The aim was to gain an understanding of young women's perceptions of the reasons they started, continued, and stopped selling sex. The study included interviews with 15 young women between the ages of 15 and 25 (M=18.9). Thematic analysis was used to identify similarities and differences in the narratives. Three themes and eight sub-themes were identified in relation to different stages in their lives in the sex trade. The themes were organized into three parts, each with its own storyline: "Entering - adverse life experiences"; traumatic events: feeling different and being excluded. "Immersion - using the body as a tool for regulating feelings"; being seen: being touched: being in control: affect regulation and self-harming. "Exiting - change or die"; living close to death: the process of quitting. The informants all had stable social lives in the sense that they had roofs over their heads, food to eat, and no substance-abuse issues. None had a third party who arranged the sexual contacts and none were currently trafficked. They described how their experiences of traumatic events and of feeling different and excluded had led them into the sex trade. Selling sex functioned as a way to be seen, to handle traumatic events, and to regulate feelings. Professionals working with young people who sell sex online need to understand the complex web of mixed feelings and emotional needs that can play a role in selling sex. Young people selling sex might need guidance in relationship building as well as help processing traumatic experiences and ending self-harming behavior. Further studies are needed on the functions of online sex selling and on the exit process for young people, in order to prevent entrance and facilitate exiting.

The Role of Motion Concepts in Understanding Non-Motion Concepts

PubMed Central

Khatin-Zadeh, Omid; Banaruee, Hassan; Khoshsima, Hooshang; Marmolejo-Ramos, Fernando

2017-01-01

This article discusses a specific type of metaphor in which an abstract non-motion domain is described in terms of a motion event. Abstract non-motion domains are inherently different from concrete motion domains. However, motion domains are used to describe abstract non-motion domains in many metaphors. Three main reasons are suggested for the suitability of motion events in such metaphorical descriptions. Firstly, motion events usually have high degrees of concreteness. Secondly, motion events are highly imageable. Thirdly, components of any motion event can be imagined almost simultaneously within a three-dimensional space. These three characteristics make motion events suitable domains for describing abstract non-motion domains, and facilitate the process of online comprehension throughout language processing. Extending the main point into the field of mathematics, this article discusses the process of transforming abstract mathematical problems into imageable geometric representations within the three-dimensional space. This strategy is widely used by mathematicians to solve highly abstract and complex problems. PMID:29240715

[Assessment of SUSARs. Clinical evaluation of single cases in terms of regulatory requirements].

PubMed

Wroblewski, H; Schmickler, M

2005-04-01

In the course of implementing the European directives on pharmaceutical law, focus is set on suspected unexpected serious adverse reactions (SUSARs). SUSARs are essential for expedited reporting to authorities and ethics committees. During on-line monitoring of the study, the investigator documents all adverse events. Serious adverse events are forwarded to the sponsor in due time. The sponsor identifies SUSARs for expedited reporting. Clinical causality assessment between the investigational product and the adverse event is substantial in this process. This requires a balanced clinical assessment of all case relevant aspects and information available reflecting the complexity of the specific case, which cannot be covered by algorithms in general. In the setting of on-line monitoring, SUSARs ensure the safety of the patient and the study. In addition, SUSARs are relevant for generation of the safety profile of the substance.

Opinion data mining based on DNA method and ORA software

NASA Astrophysics Data System (ADS)

Tian, Ru-Ya; Wu, Lei; Liang, Xiao-He; Zhang, Xue-Fu

2018-01-01

Public opinion, especially the online public opinion is a critical issue when it comes to mining its characteristics. Because it can be formed directly and intensely in a short time, and may lead to the outbreak of online group events, and the formation of online public opinion crisis. This may become the pushing hand of a public crisis event, or even have negative social impacts, which brings great challenges to the government management. Data from the mass media which reveal implicit, previously unknown, and potentially valuable information, can effectively help us to understand the evolution law of public opinion, and provide a useful reference for rumor intervention. Based on the Dynamic Network Analysis method, this paper uses ORA software to mine characteristics of public opinion information, opinion topics, and public opinion agents through a series of indicators, and quantitatively analyzed the relationships between them. The results show that through the analysis of the 8 indexes associating with opinion data mining, we can have a basic understanding of the public opinion characteristics of an opinion event, such as who is important in the opinion spreading process, the information grasping condition, and the opinion topics release situation.

Event-related potential evidence of processing lexical pitch-accent in auditory Japanese sentences.

PubMed

Koso, Ayumi; Hagiwara, Hiroko

2009-09-23

Neural mechanisms that underlie the processing of lexical pitch-accent in auditory Japanese were investigated by using event-related potentials. Native speakers of Japanese listened to two types of short sentences, both consisting of a noun and a verb. The sentences ended with a verb with either congruous or incongruous pitch-accent pattern, where pitch-accent violations occur at the verb in the incongruent condition. The event-related potentials of the incongruent condition showed an increased widespread negativity that started 400 ms after the onset of the deviant lexical item and lasted for about 400 ms. These results suggest that the negativity evoked by violations in lexical-pitch accent indicates electrophysiological evidence for the online processing of lexical-pitch accent in auditory Japanese.

Use of a Computer-Mediated Delphi Process to Validate a Mass Casualty Conceptual Model

PubMed Central

CULLEY, JOAN M.

2012-01-01

Since the original work on the Delphi technique, multiple versions have been developed and used in research and industry; however, very little empirical research has been conducted that evaluates the efficacy of using online computer, Internet, and e-mail applications to facilitate a Delphi method that can be used to validate theoretical models. The purpose of this research was to develop computer, Internet, and e-mail applications to facilitate a modified Delphi technique through which experts provide validation for a proposed conceptual model that describes the information needs for a mass-casualty continuum of care. Extant literature and existing theoretical models provided the basis for model development. Two rounds of the Delphi process were needed to satisfy the criteria for consensus and/or stability related to the constructs, relationships, and indicators in the model. The majority of experts rated the online processes favorably (mean of 6.1 on a seven-point scale). Using online Internet and computer applications to facilitate a modified Delphi process offers much promise for future research involving model building or validation. The online Delphi process provided an effective methodology for identifying and describing the complex series of events and contextual factors that influence the way we respond to disasters. PMID:21076283

Use of a computer-mediated Delphi process to validate a mass casualty conceptual model.

PubMed

Culley, Joan M

2011-05-01

Since the original work on the Delphi technique, multiple versions have been developed and used in research and industry; however, very little empirical research has been conducted that evaluates the efficacy of using online computer, Internet, and e-mail applications to facilitate a Delphi method that can be used to validate theoretical models. The purpose of this research was to develop computer, Internet, and e-mail applications to facilitate a modified Delphi technique through which experts provide validation for a proposed conceptual model that describes the information needs for a mass-casualty continuum of care. Extant literature and existing theoretical models provided the basis for model development. Two rounds of the Delphi process were needed to satisfy the criteria for consensus and/or stability related to the constructs, relationships, and indicators in the model. The majority of experts rated the online processes favorably (mean of 6.1 on a seven-point scale). Using online Internet and computer applications to facilitate a modified Delphi process offers much promise for future research involving model building or validation. The online Delphi process provided an effective methodology for identifying and describing the complex series of events and contextual factors that influence the way we respond to disasters.

Effects of event knowledge in processing verbal arguments

PubMed Central

Bicknell, Klinton; Elman, Jeffrey L.; Hare, Mary; McRae, Ken; Kutas, Marta

2010-01-01

This research tests whether comprehenders use their knowledge of typical events in real time to process verbal arguments. In self-paced reading and event-related brain potential (ERP) experiments, we used materials in which the likelihood of a specific patient noun (brakes or spelling) depended on the combination of an agent and verb (mechanic checked vs. journalist checked). Reading times were shorter at the word directly following the patient for the congruent than the incongruent items. Differential N400s were found earlier, immediately at the patient. Norming studies ruled out any account of these results based on direct relations between the agent and patient. Thus, comprehenders dynamically combine information about real-world events based on intrasentential agents and verbs, and this combination then rapidly influences online sentence interpretation. PMID:21076629

Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?

PubMed Central

Fowler, David; Wiseman, Sue; Weinberg, Julius R

2013-01-01

Background The last decade witnessed turbulent events in public health. Emerging infections, increase of antimicrobial resistance, deliberately released threats and ongoing battles with common illnesses were amplified by the spread of disease through increased international travel. The Internet has dramatically changed the availability of information about outbreaks; however, little research has been done in comparing the online behavior of public and professionals around the same events and the effect of media coverage of outbreaks on information needs. Objective To investigate professional and public online information needs around major infection outbreaks and correlate these with media coverage. Questions include (1) How do health care professionals’ online needs for public health and infection control information differ from those of the public?, (2) Does dramatic media coverage of outbreaks contribute to the information needs among the public?, and (3) How do incidents of diseases and major policy events relate to the information needs of professionals? Methods We used three longitudinal time-based datasets from mid-2006 until end of 2010: (1) a unique record of professional online behavior on UK infection portals: National electronic Library of Infection and National Resource of Infection Control (NeLI/NRIC), (2) equivalent public online information needs (Google Trends), and (3) relevant media coverage (LexisNexis). Analysis of NeLI/NRIC logs identified the highest interest around six major infectious diseases: Clostridium difficile (C difficile)/Methicillin-resistant Staphylococcus aureus (MRSA), tuberculosis, meningitis, norovirus, and influenza. After pre-processing, the datasets were analyzed and triangulated with each other. Results Public information needs were more static, following the actual disease occurrence less than those of professionals, whose needs increase with public health events (eg, MRSA/C difficile) and the release of major national policies or important documents. Media coverage of events resulted in major public interest (eg, the 2007/2008 UK outbreak of C difficile/MRSA). An exception was norovirus, showing a seasonal pattern for both public and professionals, which matched the periodic disease occurrence. Meningitis was a clear example of a disease with heightened media coverage tending to focus on individual and celebrity cases. Influenza was a major concern during the 2009 H1N1 outbreak creating massive public interest in line with the spring and autumn peaks in cases; although in autumn 2009, there was no corresponding increase in media coverage. Online resources play an increasing role in fulfilling professionals’ and public information needs. Conclusions Significant factors related to a surge of professional interest around a disease were typically key publications and major policy changes. Public interests seem more static and correlate with media influence but to a lesser extent than expected. The only exception was norovirus, exhibiting online public and professional interest correlating with seasonal occurrences of the disease. Public health agencies with responsibility for risk communication of public health events, in particular during outbreaks and emergencies, need to collaborate with media in order to ensure the coverage is high quality and evidence-based, while professionals’ information needs remain mainly fulfilled by online open access to key resources. PMID:23856364

Major infection events over 5 years: how is media coverage influencing online information needs of health care professionals and the public?

PubMed

Kostkova, Patty; Fowler, David; Wiseman, Sue; Weinberg, Julius R

2013-07-15

The last decade witnessed turbulent events in public health. Emerging infections, increase of antimicrobial resistance, deliberately released threats and ongoing battles with common illnesses were amplified by the spread of disease through increased international travel. The Internet has dramatically changed the availability of information about outbreaks; however, little research has been done in comparing the online behavior of public and professionals around the same events and the effect of media coverage of outbreaks on information needs. To investigate professional and public online information needs around major infection outbreaks and correlate these with media coverage. Questions include (1) How do health care professionals' online needs for public health and infection control information differ from those of the public?, (2) Does dramatic media coverage of outbreaks contribute to the information needs among the public?, and (3) How do incidents of diseases and major policy events relate to the information needs of professionals? We used three longitudinal time-based datasets from mid-2006 until end of 2010: (1) a unique record of professional online behavior on UK infection portals: National electronic Library of Infection and National Resource of Infection Control (NeLI/NRIC), (2) equivalent public online information needs (Google Trends), and (3) relevant media coverage (LexisNexis). Analysis of NeLI/NRIC logs identified the highest interest around six major infectious diseases: Clostridium difficile (C difficile)/Methicillin-resistant Staphylococcus aureus (MRSA), tuberculosis, meningitis, norovirus, and influenza. After pre-processing, the datasets were analyzed and triangulated with each other. Public information needs were more static, following the actual disease occurrence less than those of professionals, whose needs increase with public health events (eg, MRSA/C difficile) and the release of major national policies or important documents. Media coverage of events resulted in major public interest (eg, the 2007/2008 UK outbreak of C difficile/MRSA). An exception was norovirus, showing a seasonal pattern for both public and professionals, which matched the periodic disease occurrence. Meningitis was a clear example of a disease with heightened media coverage tending to focus on individual and celebrity cases. Influenza was a major concern during the 2009 H1N1 outbreak creating massive public interest in line with the spring and autumn peaks in cases; although in autumn 2009, there was no corresponding increase in media coverage. Online resources play an increasing role in fulfilling professionals' and public information needs. Significant factors related to a surge of professional interest around a disease were typically key publications and major policy changes. Public interests seem more static and correlate with media influence but to a lesser extent than expected. The only exception was norovirus, exhibiting online public and professional interest correlating with seasonal occurrences of the disease. Public health agencies with responsibility for risk communication of public health events, in particular during outbreaks and emergencies, need to collaborate with media in order to ensure the coverage is high quality and evidence-based, while professionals' information needs remain mainly fulfilled by online open access to key resources.

High-speed event detector for embedded nanopore bio-systems.

PubMed

Huang, Yiyun; Magierowski, Sebastian; Ghafar-Zadeh, Ebrahim; Wang, Chengjie

2015-08-01

Biological measurements of microscopic phenomena often deal with discrete-event signals. The ability to automatically carry out such measurements at high-speed in a miniature embedded system is desirable but compromised by high-frequency noise along with practical constraints on filter quality and sampler resolution. This paper presents a real-time event-detection method in the context of nanopore sensing that helps to mitigate these drawbacks and allows accurate signal processing in an embedded system. Simulations show at least a 10× improvement over existing on-line detection methods.

Auditing an Online Self-reported Interventional Radiology Adverse Event Database for Compliance and Accuracy.

PubMed

Burch, Ezra A; Shyn, Paul B; Chick, Jeffrey F; Chauhan, Nikunj R

2017-04-01

The purpose of this study was to determine whether auditing an online self-reported interventional radiology quality assurance database improves compliance with record entry or improves the accuracy of adverse event (AE) reporting and grading. Physicians were trained in using the database before the study began. An audit of all database entries for the first 3 months, or the first quarter, was performed, at which point physicians were informed of the audit process; entries for the subsequent 3 months, or the second quarter, were again audited. Results between quarters were compared. Compliance with record entry improved from the first to second quarter, but reminders were necessary to ensure 100% compliance with record entry. Knowledge of the audit process did not significantly improve self-reporting of AE or accuracy of AE grading. However, auditing significantly changed the final AE reporting rates and grades. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Using SDO Data in the Classroom to Do Real Science -- A Community College Laboratory Investigation

NASA Astrophysics Data System (ADS)

Dave, T. A.; Hildreth, S.; Lee, S.; Scherrer, D. K.

2013-12-01

The incredible accessibility of extremely high spatial and temporal resolution data from the Solar Dynamics Observatory creates an opportunity for students to do almost real-time investigation in an Astronomy Lab. We are developing a short series of laboratory exercises using SDO data, targeted for Community College students in an introductory lab class, extendable to high school and university students. The labs initially lead students to explore what SDO can do, online, through existing SDO video clips taken on specific dates. Students then investigate solar events using the Heliophysics Events Knowledgebase (HEK), and make their own online movies of events, to discuss and share with classmates. Finally, students can investigate specific events and areas, selecting specific dates, locations, wavelength regions, and time cadences to create and gather their own SDO datasets for more detailed investigation. In exploring the Sun using actual data, students actually do real science. We are in the process of beta testing the sequence of labs, and are seeking interested community college, university, and high school astronomy lab teachers who might consider trying the labs themselves.

Externalising the autobiographical self: sharing personal memories online facilitated memory retention.

PubMed

Wang, Qi; Lee, Dasom; Hou, Yubo

2017-07-01

Internet technology provides a new means of recalling and sharing personal memories in the digital age. What is the mnemonic consequence of posting personal memories online? Theories of transactive memory and autobiographical memory would make contrasting predictions. In the present study, college students completed a daily diary for a week, listing at the end of each day all the events that happened to them on that day. They also reported whether they posted any of the events online. Participants received a surprise memory test after the completion of the diary recording and then another test a week later. At both tests, events posted online were significantly more likely than those not posted online to be recalled. It appears that sharing memories online may provide unique opportunities for rehearsal and meaning-making that facilitate memory retention.

Using AN Essea Earth Systems Science Course in a Web-Enhanced Setting for Pre-Service Middle School Teachers

NASA Astrophysics Data System (ADS)

Slattery, W.

2003-12-01

The ESSEA Middle School course was originally designed as an asynchronous on-line tool for teacher professional development. The ESSEA course uses real world events such as deforestation, volcanic eruptions and hurricanes to develop content understandings of Earth systems processes and to model pedagogical best practices appropriate for middle school students. The course is structured as multiple three-week learning cycles. During week one of each cycle, participants are formed into Sphere groups to study the impact of the event under consideration on the atmosphere, biosphere, hydrosphere, or lithosphere. During week two, Event teams are formed to include members from each of the previous week's Sphere groups. Together they develop interactions between the different spheres and the event. During week three, teachers develop classroom applications and post them on-line for other participants to comment upon. On-going assessment suggests that in-service teacher participants of the on-line course are more likely to infuse inquiry-based science instruction into their classroom settings and to teach science as a subject integrating Physical science, Life science, and Earth/Space science in their own classrooms It is imperative to develop such characteristics in pre-service teachers as well. Wright State University's undergraduate Middle School teacher preparation program requires that undergraduates seeking Middle Childhood Licensure by the State of Ohio take a course in Earth Systems science that is aligned with the national and state science education standards. Towards this end the ESSEA course has been adapted for use in a web-enhanced setting. Weeks one and two (Sphere and Event study) of the ESSEA Middle School course are used as an integral component of this Earth Systems science course. In this way content knowledge and pedagogical strategies are modeled just as they are in the fully on-line course. Questions raised on-line are the topic of research or experimentation during the face-to-face component of the course. Follow-up interviews and classroom visits to student teaching sites confirm that pre-service teachers are using Earth systems science concepts and cooperative teaching techniques to teach science as an integrated whole.

Self-Exciting Point Process Modeling of Conversation Event Sequences

NASA Astrophysics Data System (ADS)

Masuda, Naoki; Takaguchi, Taro; Sato, Nobuo; Yano, Kazuo

Self-exciting processes of Hawkes type have been used to model various phenomena including earthquakes, neural activities, and views of online videos. Studies of temporal networks have revealed that sequences of social interevent times for individuals are highly bursty. We examine some basic properties of event sequences generated by the Hawkes self-exciting process to show that it generates bursty interevent times for a wide parameter range. Then, we fit the model to the data of conversation sequences recorded in company offices in Japan. In this way, we can estimate relative magnitudes of the self excitement, its temporal decay, and the base event rate independent of the self excitation. These variables highly depend on individuals. We also point out that the Hawkes model has an important limitation that the correlation in the interevent times and the burstiness cannot be independently modulated.

Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection

PubMed Central

Wang, Tian; Chen, Jie; Zhou, Yi; Snoussi, Hichem

2013-01-01

The abnormal event detection problem is an important subject in real-time video surveillance. In this paper, we propose a novel online one-class classification algorithm, online least squares one-class support vector machine (online LS-OC-SVM), combined with its sparsified version (sparse online LS-OC-SVM). LS-OC-SVM extracts a hyperplane as an optimal description of training objects in a regularized least squares sense. The online LS-OC-SVM learns a training set with a limited number of samples to provide a basic normal model, then updates the model through remaining data. In the sparse online scheme, the model complexity is controlled by the coherence criterion. The online LS-OC-SVM is adopted to handle the abnormal event detection problem. Each frame of the video is characterized by the covariance matrix descriptor encoding the moving information, then is classified into a normal or an abnormal frame. Experiments are conducted, on a two-dimensional synthetic distribution dataset and a benchmark video surveillance dataset, to demonstrate the promising results of the proposed online LS-OC-SVM method. PMID:24351629

Online least squares one-class support vector machines-based abnormal visual event detection.

PubMed

Wang, Tian; Chen, Jie; Zhou, Yi; Snoussi, Hichem

2013-12-12

The abnormal event detection problem is an important subject in real-time video surveillance. In this paper, we propose a novel online one-class classification algorithm, online least squares one-class support vector machine (online LS-OC-SVM), combined with its sparsified version (sparse online LS-OC-SVM). LS-OC-SVM extracts a hyperplane as an optimal description of training objects in a regularized least squares sense. The online LS-OC-SVM learns a training set with a limited number of samples to provide a basic normal model, then updates the model through remaining data. In the sparse online scheme, the model complexity is controlled by the coherence criterion. The online LS-OC-SVM is adopted to handle the abnormal event detection problem. Each frame of the video is characterized by the covariance matrix descriptor encoding the moving information, then is classified into a normal or an abnormal frame. Experiments are conducted, on a two-dimensional synthetic distribution dataset and a benchmark video surveillance dataset, to demonstrate the promising results of the proposed online LS-OC-SVM method.

Neural processing of emotional-intensity predicts emotion regulation choice.

PubMed

Shafir, Roni; Thiruchselvam, Ravi; Suri, Gaurav; Gross, James J; Sheppes, Gal

2016-12-01

Emotional-intensity is a core characteristic of affective events that strongly determines how individuals choose to regulate their emotions. Our conceptual framework suggests that in high emotional-intensity situations, individuals prefer to disengage attention using distraction, which can more effectively block highly potent emotional information, as compared with engagement reappraisal, which is preferred in low emotional-intensity. However, existing supporting evidence remains indirect because prior intensity categorization of emotional stimuli was based on subjective measures that are potentially biased and only represent the endpoint of emotional-intensity processing. Accordingly, this study provides the first direct evidence for the role of online emotional-intensity processing in predicting behavioral regulatory-choices. Utilizing the high temporal resolution of event-related potentials, we evaluated online neural processing of stimuli's emotional-intensity (late positive potential, LPP) prior to regulatory-choices between distraction and reappraisal. Results showed that enhanced neural processing of intensity (enhanced LPP amplitudes) uniquely predicted (above subjective measures of intensity) increased tendency to subsequently choose distraction over reappraisal. Additionally, regulatory-choices led to adaptive consequences, demonstrated in finding that actual implementation of distraction relative to reappraisal-choice resulted in stronger attenuation of LPPs and self-reported arousal. © The Author (2016). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Developing an EEG-based on-line closed-loop lapse detection and mitigation system

PubMed Central

Wang, Yu-Te; Huang, Kuan-Chih; Wei, Chun-Shu; Huang, Teng-Yi; Ko, Li-Wei; Lin, Chin-Teng; Cheng, Chung-Kuan; Jung, Tzyy-Ping

2014-01-01

In America, 60% of adults reported that they have driven a motor vehicle while feeling drowsy, and at least 15–20% of fatal car accidents are fatigue-related. This study translates previous laboratory-oriented neurophysiological research to design, develop, and test an On-line Closed-loop Lapse Detection and Mitigation (OCLDM) System featuring a mobile wireless dry-sensor EEG headgear and a cell-phone based real-time EEG processing platform. Eleven subjects participated in an event-related lane-keeping task, in which they were instructed to manipulate a randomly deviated, fixed-speed cruising car on a 4-lane highway. This was simulated in a 1st person view with an 8-screen and 8-projector immersive virtual-reality environment. When the subjects experienced lapses or failed to respond to events during the experiment, auditory warning was delivered to rectify the performance decrements. However, the arousing auditory signals were not always effective. The EEG spectra exhibited statistically significant differences between effective and ineffective arousing signals, suggesting that EEG spectra could be used as a countermeasure of the efficacy of arousing signals. In this on-line pilot study, the proposed OCLDM System was able to continuously detect EEG signatures of fatigue, deliver arousing warning to subjects suffering momentary cognitive lapses, and assess the efficacy of the warning in near real-time to rectify cognitive lapses. The on-line testing results of the OCLDM System validated the efficacy of the arousing signals in improving subjects' response times to the subsequent lane-departure events. This study may lead to a practical on-line lapse detection and mitigation system in real-world environments. PMID:25352773

Teaching High-Accuracy Global Positioning System to Undergraduates Using Online Processing Services

ERIC Educational Resources Information Center

Wang, Guoquan

2013-01-01

High-accuracy Global Positioning System (GPS) has become an important geoscientific tool used to measure ground motions associated with plate movements, glacial movements, volcanoes, active faults, landslides, subsidence, slow earthquake events, as well as large earthquakes. Complex calculations are required in order to achieve high-precision…

Preliminary test result of PRESTo application to the southern Korean peninsula

NASA Astrophysics Data System (ADS)

Chi, H.; Lim, I.; Park, J.; Zollo, A.; Elia, L.; Iannaccone, G.

2012-12-01

KMA(Korea Meteorological Agency) and KIGAM(Korea Institute of Geoscience and Mineral Resources) have started a project to construct EEWS(Earthquake Early Warning System) from 2007 in South Korea. KIGAM has been operating ElarmS(Earthquake Alarms Systems) developed by UC. Berkeley Seismological Lab. in the real time mode from the middle of 2010. PRESTo (PRobabilistic and Evolutionary early warning SysTem) is a software platform coded by RISSC-lab in Italy for regional earthquake early warning. In comparison to ElarmS, PRESTo has the different approach in estimating parameters of an earthquake by adapting probability function. We conducted online and offline tests to evaluate feasibility of PRESTo about seismic network of the southern part of the Korean Peninsula. The 3D velocity model grids of P- and S-wave were calculated from 1D velocity model used by KIGAM for routine work. Two kinds of magnitude equations, High Mag to events with magnitude over 4.0 and Low Mag to others, were used without any change of the parameters applied to Naples in Italy in order to investigate patterns of the difference between KIGAM's local magnitudes and PRESTo's. Off and online test of PRESTo was done at two PCs with Windows7, Intel Core i7-2 3.4 GHz CPU and 8 GB memory. Offline simulation was applied to the total 162 earthquakes occurred at inland or offshore area of the southern Korean peninsula with magnitude over 2.0 from January 2007 to May 2012. As a result of offline test, the number of events by PRESTo was 132 that were about 80.5 % of the total earthquakes. The 91 % of the detected events had reasonable resolution with origin time error within 15 seconds and location error within 10 km. The 106 events, 80 % of the processed ones, had good resolution with error less than 5 km. The events with magnitude less than 4.0 showed the smaller pattern as amount of 0.3 ~ 0.8 than the magnitude from KIGAM's bulletin. The large magnitude over 4.0, however, showed similar pattern to that of bulletin. Due to the limitation of computer resources which PRESTo requires in online processing, we separated the study area into 4 zones for online test. The KIGAM's bulletin with magnitude over 2.0 had 13 earthquakes from May to June 2012. PRESTo detected 12 events among them in the real time processing mode. The location accuracy of these events showed slightly higher resolution than the results of ElramS. PRESTo used small velocity grid because we had separated study area as 4 parts. ElarmS, however, observed events over all areas. PRESTos of four areas made different results about the same events and they triggered many false events when noisy stations were included to the localized network. As a result of test operation of PRESTo, the magnitudes showed smaller pattern than that of KIGAM's bulletin in the size of about 0.3 ~ 0.8. The parameter tuning is required to determine adequate size of magnitude in regarding the seismic characteristics in the Korean peninsula. In the current system of PRESTo, it is possible to get detailed analysis in the local area, however, it gives larger burden on computing system as increasing the size of area and stations. It is necessary to split one package into several modules in order to reduce system resource and control large number of data channels the future.

Follow #eHealth2011: Measuring the Role and Effectiveness of Online and Social Media in Increasing the Outreach of a Scientific Conference.

PubMed

Winandy, Marcel; Kostkova, Patty; de Quincey, Ed; St Louis, Connie; Szomszor, Martin

2016-07-19

Social media promotion is increasingly adopted by organizers of industry and academic events; however, the success of social media strategies is rarely questioned or the real impact scientifically analyzed. We propose a framework that defines and analyses the impact, outreach, and effectiveness of social media for event promotion and research dissemination to participants of a scientific event as well as to the virtual audience through the Web. Online communication channels Twitter, Facebook, Flickr, and a Liveblog were trialed and their impact measured on outreach during five phases of an eHealth conference: the setup, active and last-minute promotion phases before the conference, the actual event, and after the conference. Planned outreach through online channels and social media before and during the event reached an audience several magnitudes larger in size than would have been possible using traditional means. In the particular case of eHealth 2011, the outreach using traditional means would have been 74 attendees plus 23 extra as sold proceedings and the number of downloaded articles from the online proceedings (4107 until October 2013). The audience for the conference reached via online channels and social media was estimated at more than 5300 in total during the event. The role of Twitter for promotion before the event was complemented by an increased usage of the website and Facebook during the event followed by a sharp increase of views of posters on Flickr after the event. Although our case study is focused on a particular audience around eHealth 2011, our framework provides a template for redefining "audience" and outreach of events, merging traditional physical and virtual communities and providing an outline on how these could be successfully reached in clearly defined event phases.

Intellectual Property Law Confers Rights in Respect of Online Distance Education, yet Most Learning Resources Are Still Free--Truth or Fiction?

ERIC Educational Resources Information Center

Mann, Bruce L.

2009-01-01

Educational technologists might well describe online distance education as "a series of instructional events over the Internet that find their expression as learning events in a student". As a legal construct however, "online distance education" is simply "the intellectual property of its owner". This description is…

Emotions, Public Opinion, and U.S. Presidential Approval Rates: A 5-Year Analysis of Online Political Discussions

ERIC Educational Resources Information Center

Gonzalez-Bailon, Sandra; Banchs, Rafael E.; Kaltenbrunner, Andreas

2012-01-01

This article examines how emotional reactions to political events shape public opinion. We analyze political discussions in which people voluntarily engage online to approximate the public agenda: Online discussions offer a natural approach to the salience of political issues and the means to analyze emotional reactions as political events take…

Online Calibration of the TPC Drift Time in the ALICE High Level Trigger

NASA Astrophysics Data System (ADS)

Rohr, David; Krzewicki, Mikolaj; Zampolli, Chiara; Wiechula, Jens; Gorbunov, Sergey; Chauvin, Alex; Vorobyev, Ivan; Weber, Steffen; Schweda, Kai; Lindenstruth, Volker

2017-06-01

A Large Ion Collider Experiment (ALICE) is one of the four major experiments at the Large Hadron Collider (LHC) at CERN. The high level trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in real-time. It employs a custom online data-transport framework to distribute data and workload among the compute nodes. ALICE employs subdetectors that are sensitive to environmental conditions such as pressure and temperature, e.g., the time projection chamber (TPC). A precise reconstruction of particle trajectories requires calibration of these detectors. Performing calibration in real time in the HLT improves the online reconstructions and renders certain offline calibration steps obsolete speeding up offline physics analysis. For LHC Run 3, starting in 2020 when data reduction will rely on reconstructed data, online calibration becomes a necessity. Reconstructed particle trajectories build the basis for the calibration making a fast online-tracking mandatory. The main detectors used for this purpose are the TPC and Inner Tracking System. Reconstructing the trajectories in the TPC is the most compute-intense step. We present several improvements to the ALICE HLT developed to facilitate online calibration. The main new development for online calibration is a wrapper that can run ALICE offline analysis and calibration tasks inside the HLT. In addition, we have added asynchronous processing capabilities to support long-running calibration tasks in the HLT framework, which runs event-synchronously otherwise. In order to improve the resiliency, an isolated process performs the asynchronous operations such that even a fatal error does not disturb data taking. We have complemented the original loop-free HLT chain with ZeroMQ data-transfer components. The ZeroMQ components facilitate a feedback loop that inserts the calibration result created at the end of the chain back into tracking components at the beginning of the chain, after a short delay. All these new features are implemented in a general way, such that they have use-cases aside from online calibration. In order to gather sufficient statistics for the calibration, the asynchronous calibration component must process enough events per time interval. Since the calibration is valid only for a certain time period, the delay until the feedback loop provides updated calibration data must not be too long. A first full-scale test of the online calibration functionality was performed during 2015 heavy-ion run under real conditions. Since then, online calibration is enabled and benchmarked in 2016 proton-proton data taking. We present a timing analysis of this first online-calibration test, which concludes that the HLT is capable of online TPC drift time calibration fast enough to calibrate the tracking via the feedback loop. We compare the calibration results with the offline calibration and present a comparison of the residuals of the TPC cluster coordinates with respect to offline reconstruction.

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

A. Alfonsi; C. Rabiti; D. Mandelli

The Reactor Analysis and Virtual control ENviroment (RAVEN) code is a software tool that acts as the control logic driver and post-processing engine for the newly developed Thermal-Hydraulic code RELAP-7. RAVEN is now a multi-purpose Probabilistic Risk Assessment (PRA) software framework that allows dispatching different functionalities: Derive and actuate the control logic required to simulate the plant control system and operator actions (guided procedures), allowing on-line monitoring/controlling in the Phase Space Perform both Monte-Carlo sampling of random distributed events and Dynamic Event Tree based analysis Facilitate the input/output handling through a Graphical User Interface (GUI) and a post-processing data miningmore » module« less

Rain events and their effect on effluent quality studied at a full scale activated sludge treatment plant.

PubMed

Wilén, B M; Lumley, D; Mattsson, A; Mino, T

2006-01-01

The effect of rain events on effluent quality dynamics was studied at a full scale activated sludge wastewater treatment plant which has a process solution incorporating pre-denitrification in activated sludge with post-nitrification in trickling filters. The incoming wastewater flow varies significantly due to a combined sewer system. Changed flow conditions have an impact on the whole treatment process since the recirculation to the trickling filters is set by the hydraulic limitations of the secondary settlers. Apart from causing different hydraulic conditions in the plant, increased flow due to rain or snow-melting, changes the properties of the incoming wastewater which affects process performance and effluent quality, especially the particle removal efficiency. A comprehensive set of on-line and laboratory data were collected and analysed to assess the impact of rain events on the plant performance.

A Process Study of the Development of Virtual Research Environments

NASA Astrophysics Data System (ADS)

Ahmed, I.; Cooper, K.; McGrath, R.; Griego, G.; Poole, M. S.; Hanisch, R. J.

2014-05-01

In recent years, cyberinfrastructures have been deployed to create virtual research environments (VREs) - such as the Virtual Astronomical Observatory (VAO) - to enhance the quality and speed of scientific research, and to foster global scientific communities. Our study utilizes process methodology to study the evolution of VREs. This approach focuses on a series of events that bring about or lead to some outcome, and attempts to specify the generative mechanism that could produce the event series. This paper briefly outlines our approach and describes initial results of a case study of the VAO, one of the participating VREs. The case study is based on interviews with seven individuals participating in the VAO, and analysis of project documents and online resources. These sources are hand tagged to identify events related to the thematic tracks, to yield a narrative of the project. Results demonstrate the event series of an organization through traditional methods augmented by virtual sources.

Performance optimization of an online retailer by a unique online resilience engineering algorithm

NASA Astrophysics Data System (ADS)

Azadeh, A.; Salehi, V.; Salehi, R.; Hassani, S. M.

2018-03-01

Online shopping has become more attractive and competitive in electronic markets. Resilience engineering (RE) can help such systems divert to the normal state in case of encountering unexpected events. This study presents a unique online resilience engineering (ORE) approach for online shopping systems and customer service performance. Moreover, this study presents a new ORE algorithm for the performance optimisation of an actual online shopping system. The data are collected by standard questionnaires from both expert employees and customers. The problem is then formulated mathematically using data envelopment analysis (DEA). The results show that the design process which is based on ORE is more efficient than the conventional design approach. Moreover, on-time delivery is the most important factor from the personnel's perspective. In addition, according to customers' view, trust, security and good quality assurance are the most effective factors during transactions. This is the first study that introduces ORE for electronic markets. Second, it investigates impact of RE on online shopping through DEA and statistical methods. Third, a practical approach is employed in this study and it may be used for similar online shops. Fourth, the results are verified and validated through complete sensitivity analysis.

On-line data analysis and monitoring for H1 drift chambers

NASA Astrophysics Data System (ADS)

Düllmann, Dirk

1992-05-01

The on-line monitoring, slow control and calibration of the H1 central jet chamber uses a VME multiprocessor system to perform the analysis and a connected Macintosh computer as graphical interface to the operator on shift. Task of this system are: - analysis of event data including on-line track search, - on-line calibration from normal events and testpulse events, - control of the high voltage and monitoring of settings and currents, - monitoring of temperature, pressure and mixture of the chambergas. A program package is described which controls the dataflow between data aquisition, differnt VME CPUs and Macintosh. It allows to run off-line style programs for the different tasks.

Secure access control and large scale robust representation for online multimedia event detection.

PubMed

Liu, Changyu; Lu, Bin; Li, Huiling

2014-01-01

We developed an online multimedia event detection (MED) system. However, there are a secure access control issue and a large scale robust representation issue when we want to integrate traditional event detection algorithms into the online environment. For the first issue, we proposed a tree proxy-based and service-oriented access control (TPSAC) model based on the traditional role based access control model. Verification experiments were conducted on the CloudSim simulation platform, and the results showed that the TPSAC model is suitable for the access control of dynamic online environments. For the second issue, inspired by the object-bank scene descriptor, we proposed a 1000-object-bank (1000OBK) event descriptor. Feature vectors of the 1000OBK were extracted from response pyramids of 1000 generic object detectors which were trained on standard annotated image datasets, such as the ImageNet dataset. A spatial bag of words tiling approach was then adopted to encode these feature vectors for bridging the gap between the objects and events. Furthermore, we performed experiments in the context of event classification on the challenging TRECVID MED 2012 dataset, and the results showed that the robust 1000OBK event descriptor outperforms the state-of-the-art approaches.

Word-Category Violations in Patients with Broca's Aphasia: An ERP Study

ERIC Educational Resources Information Center

Wassenaar, Marlies; Hagoort, Peter

2005-01-01

An event-related brain potential experiment was carried out to investigate on-line syntactic processing in patients with Broca's aphasia. Subjects were visually presented with sentences that were either syntactically correct or contained violations of word-category. Three groups of subjects were tested: Broca patients (N=11), non-aphasic patients…

On-Line Orthographic Influences on Spoken Language in a Semantic Task

ERIC Educational Resources Information Center

Pattamadilok, Chotiga; Perre, Laetitia; Dufau, Stephane; Ziegler, Johannes C.

2009-01-01

Literacy changes the way the brain processes spoken language. Most psycholinguists believe that orthographic effects on spoken language are either strategic or restricted to meta-phonological tasks. We used event-related brain potentials (ERPs) to investigate the locus and the time course of orthographic effects on spoken word recognition in a…

Detection of Collapse and Crystallization of Saccharide, Protein, and Mannitol Formulations by Optical Fibers in Lyophilization

PubMed Central

Horn, Jacqueline; Friess, Wolfgang

2018-01-01

The collapse temperature (Tc) and the glass transition temperature of freeze-concentrated solutions (Tg') as well as the crystallization behavior of excipients are important physicochemical characteristics which guide the cycle development in freeze-drying. The most frequently used methods to determine these values are differential scanning calorimetry (DSC) and freeze-drying microscopy (FDM). The objective of this study was to evaluate the optical fiber system (OFS) unit as alternative tool for the analysis of Tc, Tg' and crystallization events. The OFS unit was also tested as a potential online monitoring tool during freeze-drying. Freeze/thawing and freeze-drying experiments of sucrose, trehalose, stachyose, mannitol, and highly concentrated IgG1 and lysozyme solutions were carried out and monitored by the OFS. Comparative analyses were performed by DSC and FDM. OFS and FDM results correlated well. The crystallization behavior of mannitol could be monitored by the OFS during freeze/thawing as it can be done by DSC. Online monitoring of freeze-drying runs detected collapse of amorphous saccharide matrices. The OFS unit enabled the analysis of both Tc and crystallization processes, which is usually carried out by FDM and DSC. The OFS can hence be used as novel measuring device. Additionally, detection of these events during lyophilization facilitates online-monitoring. Thus the OFS is a new beneficial tool for the development and monitoring of freeze-drying processes. PMID:29435445

Detection of Collapse and Crystallization of Saccharide, Protein and Mannitol Formulations by Optical Fibers in Lyophilization

NASA Astrophysics Data System (ADS)

Horn, Jacqueline; Friess, Wolfgang

2018-01-01

The collapse temperature (Tc) and the glass transition temperature of freeze-concentrated solutions (Tg’) as well as the crystallization behavior of excipients are important physicochemical characteristics which guide the cycle development in freeze-drying. The most frequently used methods to determine these values are differential scanning calorimetry (DSC) and freeze-drying microscopy (FDM). The objective of this study was to evaluate the optical fiber system (OFS) unit as alternative tool for the analysis of Tc, Tg’ and crystallization events. The OFS unit was also tested as a potential online monitoring tool during freeze-drying. Freeze/thawing and freeze-drying experiments of sucrose, trehalose, stachyose, mannitol and highly concentrated IgG1 and lysozyme solutions were carried out and monitored by the OFS. Comparative analyses were performed by DSC and FDM. OFS and FDM results correlated well. The crystallization behavior of mannitol could be monitored by the OFS during freeze/thawing as it can be done by DSC. Online monitoring of freeze-drying runs detected collapse of amorphous saccharide matrices. The OFS unit enabled the analysis of both Tc and crystallization processes, which is usually carried out by FDM and DSC. The OFS can hence be used as novel measuring device. Additionally, detection of these events during lyophilization facilitate online-monitoring. Thus the OFS is a new beneficial tool for the development and monitoring of freeze-drying processes.

Online Updating of Statistical Inference in the Big Data Setting.

PubMed

Schifano, Elizabeth D; Wu, Jing; Wang, Chun; Yan, Jun; Chen, Ming-Hui

2016-01-01

We present statistical methods for big data arising from online analytical processing, where large amounts of data arrive in streams and require fast analysis without storage/access to the historical data. In particular, we develop iterative estimating algorithms and statistical inferences for linear models and estimating equations that update as new data arrive. These algorithms are computationally efficient, minimally storage-intensive, and allow for possible rank deficiencies in the subset design matrices due to rare-event covariates. Within the linear model setting, the proposed online-updating framework leads to predictive residual tests that can be used to assess the goodness-of-fit of the hypothesized model. We also propose a new online-updating estimator under the estimating equation setting. Theoretical properties of the goodness-of-fit tests and proposed estimators are examined in detail. In simulation studies and real data applications, our estimator compares favorably with competing approaches under the estimating equation setting.

Perceiving goals and actions in individuals with autism spectrum disorders.

PubMed

Zalla, Tiziana; Labruyère, Nelly; Georgieff, Nicolas

2013-10-01

In the present study, we investigated the ability to parse familiar sequences of action into meaningful events in young individuals with autism spectrum disorders (ASDs), as compared to young individuals with typical development (TD) and young individuals with moderate mental retardation or learning disabilities (MLDs). While viewing two videotaped movies, participants were requested to detect the boundary transitions between component events at both fine and coarse levels of the action hierarchical structure. Overall, reduced accuracy for event detection was found in participants with ASDs, relative to participants with TD, at both levels of action segmentation. The performance was, however, equally diminished in participants with ASDs and MLDs under the course-grained segmentation suggesting that difficulties to detect fine-grained events in ASDs cannot be explained by a general intellectual dysfunction. Reduced accuracy for event detection was related to diminished event recall, memory for event sequence and Theory of Mind abilities. We hypothesized that difficulties with event detection result from a deficit disrupting the on-line processing of kinematic features and physical changes of dynamic human actions. An impairment at the earlier stages of the event encoding process might contribute to deficits in episodic memory and social functioning in individuals with ASDs.

Neural bases of event knowledge and syntax integration in comprehension of complex sentences.

PubMed

Malaia, Evie; Newman, Sharlene

2015-01-01

Comprehension of complex sentences is necessarily supported by both syntactic and semantic knowledge, but what linguistic factors trigger a readers' reliance on a specific system? This functional neuroimaging study orthogonally manipulated argument plausibility and verb event type to investigate cortical bases of the semantic effect on argument comprehension during reading. The data suggest that telic verbs facilitate online processing by means of consolidating the event schemas in episodic memory and by easing the computation of syntactico-thematic hierarchies in the left inferior frontal gyrus. The results demonstrate that syntax-semantics integration relies on trade-offs among a distributed network of regions for maximum comprehension efficiency.

VizieR Online Data Catalog: Second ROSAT all-sky survey (2RXS) source catalog (Boller+, 2016)

NASA Astrophysics Data System (ADS)

Boller, T.; Freyberg, M. J.; Truemper, J.; Haberl, F.; Voges, W.; Nandra, K.

2016-03-01

We have re-analysed the photon event files from the ROSAT all-sky survey. The main goal was to create a catalogue of point-like sources, which is referred to as the 2RXS source catalogue. We improved the reliability of detections by an advanced detection algorithm and a complete screening process. New data products were created to allow timing and spectral analysis. Photon event files with corrected astrometry and Moon rejection (RASS-3.1 processing) were made available in FITS format. The 2RXS catalogue will serve as the basic X-ray all-sky survey catalogue until eROSITA data become available. (2 data files).

The blogosphere as an excitable social medium: Richter’s and Omori’s Law in media coverage

NASA Astrophysics Data System (ADS)

Klimek, Peter; Bayer, Werner; Thurner, Stefan

2011-10-01

We study the dynamics of public media attention by monitoring the content of online blogs. Social and media events can be traced by the propagation of word frequencies of related keywords. Media events are classified as exogenous-where blogging activity is triggered by an external news item-or endogenous where word frequencies build up within a blogging community without external influences. We show that word occurrences exhibit statistical similarities to earthquakes. Moreover the size distribution of events scales with a similar exponent as found in the Gutenberg-Richter law. The dynamics of media events before and after the main event can be satisfactorily modeled as a type of process which has been used to understand fore-and aftershock rate distributions in earthquakes-the Omori law. We present empirical evidence that for media events of endogenous origin the overall public reception of the event is correlated with the behavior of word frequencies at the beginning of the event, and is to a certain degree predictable. These results imply that the process of opinion formation in a human society might be related to effects known from excitable media.

Follow #eHealth2011: Measuring the Role and Effectiveness of Online and Social Media in Increasing the Outreach of a Scientific Conference

PubMed Central

Winandy, Marcel; St Louis, Connie; Szomszor, Martin

2016-01-01

Background Social media promotion is increasingly adopted by organizers of industry and academic events; however, the success of social media strategies is rarely questioned or the real impact scientifically analyzed. Objective We propose a framework that defines and analyses the impact, outreach, and effectiveness of social media for event promotion and research dissemination to participants of a scientific event as well as to the virtual audience through the Web. Methods Online communication channels Twitter, Facebook, Flickr, and a Liveblog were trialed and their impact measured on outreach during five phases of an eHealth conference: the setup, active and last-minute promotion phases before the conference, the actual event, and after the conference. Results Planned outreach through online channels and social media before and during the event reached an audience several magnitudes larger in size than would have been possible using traditional means. In the particular case of eHealth 2011, the outreach using traditional means would have been 74 attendees plus 23 extra as sold proceedings and the number of downloaded articles from the online proceedings (4107 until October 2013). The audience for the conference reached via online channels and social media was estimated at more than 5300 in total during the event. The role of Twitter for promotion before the event was complemented by an increased usage of the website and Facebook during the event followed by a sharp increase of views of posters on Flickr after the event. Conclusions Although our case study is focused on a particular audience around eHealth 2011, our framework provides a template for redefining “audience” and outreach of events, merging traditional physical and virtual communities and providing an outline on how these could be successfully reached in clearly defined event phases. PMID:27436012

Shaping Social Activity by Incentivizing Users

PubMed Central

Farajtabar, Mehrdad; Du, Nan; Rodriguez, Manuel Gomez; Valera, Isabel; Zha, Hongyuan; Song, Le

2015-01-01

Events in an online social network can be categorized roughly into endogenous events, where users just respond to the actions of their neighbors within the network, or exogenous events, where users take actions due to drives external to the network. How much external drive should be provided to each user, such that the network activity can be steered towards a target state? In this paper, we model social events using multivariate Hawkes processes, which can capture both endogenous and exogenous event intensities, and derive a time dependent linear relation between the intensity of exogenous events and the overall network activity. Exploiting this connection, we develop a convex optimization framework for determining the required level of external drive in order for the network to reach a desired activity level. We experimented with event data gathered from Twitter, and show that our method can steer the activity of the network more accurately than alternatives. PMID:26005312

Online data monitoring in the LHCb experiment

NASA Astrophysics Data System (ADS)

Callot, O.; Cherukuwada, S.; Frank, M.; Gaspar, C.; Graziani, G.; Herwijnen, E. v.; Jost, B.; Neufeld, N.; P-Altarelli, M.; Somogyi, P.; Stoica, R.

2008-07-01

The High Level Trigger and Data Acquisition system selects about 2 kHz of events out of the 40 MHz of beam crossings. The selected events are sent to permanent storage for subsequent analysis. In order to ensure the quality of the collected data, identify possible malfunctions of the detector and perform calibration and alignment checks, a small fraction of the accepted events is sent to a monitoring farm, which consists of a few tens of general purpose processors. This contribution introduces the architecture of the data stream splitting mechanism from the storage system to the monitoring farm, where the raw data are analyzed by dedicated tasks. It describes the collaborating software components that are all based on the Gaudi event processing framework.

Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection

PubMed Central

Liu, Changyu; Li, Huiling

2014-01-01

We developed an online multimedia event detection (MED) system. However, there are a secure access control issue and a large scale robust representation issue when we want to integrate traditional event detection algorithms into the online environment. For the first issue, we proposed a tree proxy-based and service-oriented access control (TPSAC) model based on the traditional role based access control model. Verification experiments were conducted on the CloudSim simulation platform, and the results showed that the TPSAC model is suitable for the access control of dynamic online environments. For the second issue, inspired by the object-bank scene descriptor, we proposed a 1000-object-bank (1000OBK) event descriptor. Feature vectors of the 1000OBK were extracted from response pyramids of 1000 generic object detectors which were trained on standard annotated image datasets, such as the ImageNet dataset. A spatial bag of words tiling approach was then adopted to encode these feature vectors for bridging the gap between the objects and events. Furthermore, we performed experiments in the context of event classification on the challenging TRECVID MED 2012 dataset, and the results showed that the robust 1000OBK event descriptor outperforms the state-of-the-art approaches. PMID:25147840

Foreign Scholars' Theoretical Approaches to Using Social Networks as Educational Strategies

ERIC Educational Resources Information Center

Pazyura, Natalia

2017-01-01

Modern trends in development of information and communication technologies change many aspects in the process of education: from the role of participants to the forms and methods of knowledge delivery. ICTs make it possible to develop students' creative potential. The emergence of online social groups was an important event in the sphere of…

On the Screen, in the Mind: An ERP Investigation into the Interaction between Visuo-Spatial Information and Spatial Language during On-Line Processing

ERIC Educational Resources Information Center

Zane, Emily

2016-01-01

This project used Event-Related Potentials (ERPs) to explore neurophysiological brain responses to prepositional phrases involving concrete and abstract reference nouns (e.g., "plate" and "moment," respectively) after the presentation of objects with varying spatial features. Prepositional phrases were headed by "in"…

Using incident response trees as a tool for risk management of online financial services.

PubMed

Gorton, Dan

2014-09-01

The article introduces the use of probabilistic risk assessment for modeling the incident response process of online financial services. The main contribution is the creation of incident response trees, using event tree analysis, which provides us with a visual tool and a systematic way to estimate the probability of a successful incident response process against the currently known risk landscape, making it possible to measure the balance between front-end and back-end security measures. The model is presented using an illustrative example, and is then applied to the incident response process of a Swedish bank. Access to relevant data is verified and the applicability and usability of the proposed model is verified using one year of historical data. Potential advantages and possible shortcomings are discussed, referring to both the design phase and the operational phase, and future work is presented. © 2014 Society for Risk Analysis.

Using additional external inputs to forecast water quality with an artificial neural network for contamination event detection in source water

NASA Astrophysics Data System (ADS)

Schmidt, F.; Liu, S.

2016-12-01

Source water quality plays an important role for the safety of drinking water and early detection of its contamination is vital to taking appropriate countermeasures. However, compared to drinking water, it is more difficult to detect contamination events because its environment is less controlled and numerous natural causes contribute to a high variability of the background values. In this project, Artificial Neural Networks (ANNs) and a Contamination Event Detection Process (CED Process) were used to identify events in river water. The ANN models the response of basic water quality sensors obtained in laboratory experiments in an off-line learning stage and continuously forecasts future values of the time line in an on-line forecasting step. During this second stage, the CED Process compares the forecast to the measured value and classifies it as regular background or event value, which modifies the ANN's continuous learning and influences its forecasts. In addition to this basic setup, external information is fed to the CED Process: A so-called Operator Input (OI) is provided to inform about unusual water quality levels that are unrelated to the presence of contamination, for example due to cooling water discharge from a nearby power plant. This study's primary goal is to evaluate how well the OI fits into the design of the combined forecasting ANN and CED Process and to understand its effects on the online forecasting stage. To test this, data from laboratory experiments conducted previously at the School of Environment, Tsinghua University, have been used to perform simulations highlighting features and drawbacks of this method. Applying the OI has been shown to have a positive influence on the ANN's ability to handle a sudden change in background values, which is unrelated to contamination. However, it might also mask the presence of an event, an issue that underlines the necessity to have several instances of the algorithm run in parallel. Other difficulties addressed in this study include the source and the format of the OI. This project tries to add to the ongoing research into algorithms for CED. It provides ideas for how results from the binary classification of time series could be evaluated in a more realistic fashion and shows what the advantages and limitations of such a method would be.

artdaq: DAQ software development made simple

NASA Astrophysics Data System (ADS)

Biery, Kurt; Flumerfelt, Eric; Freeman, John; Ketchum, Wesley; Lukhanin, Gennadiy; Rechenmacher, Ron

2017-10-01

For a few years now, the artdaq data acquisition software toolkit has provided numerous experiments with ready-to-use components which allow for rapid development and deployment of DAQ systems. Developed within the Fermilab Scientific Computing Division, artdaq provides data transfer, event building, run control, and event analysis functionality. This latter feature includes built-in support for the art event analysis framework, allowing experiments to run art modules for real-time filtering, compression, disk writing and online monitoring. As art, also developed at Fermilab, is also used for offline analysis, a major advantage of artdaq is that it allows developers to easily switch between developing online and offline software. artdaq continues to be improved. Support for an alternate mode of running whereby data from some subdetector components are only streamed if requested has been added; this option will reduce unnecessary DAQ throughput. Real-time reporting of DAQ metrics has been implemented, along with the flexibility to choose the format through which experiments receive the reports; these formats include the Ganglia, Graphite and syslog software packages, along with flat ASCII files. Additionally, work has been performed investigating more flexible modes of online monitoring, including the capability to run multiple online monitoring processes on different hosts, each running its own set of art modules. Finally, a web-based GUI interface through which users can configure details of their DAQ system has been implemented, increasing the ease of use of the system. Already successfully deployed on the LArlAT, DarkSide-50, DUNE 35ton and Mu2e experiments, artdaq will be employed for SBND and is a strong candidate for use on ICARUS and protoDUNE. With each experiment comes new ideas for how artdaq can be made more flexible and powerful. The above improvements will be described, along with potential ideas for the future.

Online production validation in a HEP environment

NASA Astrophysics Data System (ADS)

Harenberg, T.; Kuhl, T.; Lang, N.; Mättig, P.; Sandhoff, M.; Schwanenberger, C.; Volkmer, F.

2017-03-01

In high energy physics (HEP) event simulations, petabytes of data are processed and stored requiring millions of CPU-years. This enormous demand for computing resources is handled by centers distributed worldwide, which form part of the LHC computing grid. The consumption of such an important amount of resources demands for an efficient production of simulation and for the early detection of potential errors. In this article we present a new monitoring framework for grid environments, which polls a measure of data quality during job execution. This online monitoring facilitates the early detection of configuration errors (specially in simulation parameters), and may thus contribute to significant savings in computing resources.

Long-range correlations in an online betting exchange for a football tournament

NASA Astrophysics Data System (ADS)

Hardiman, Stephen J.; Richmond, Peter; Hutzler, Stefan

2010-10-01

We analyze the changes in the market odds of football matches in an online betting exchange, Betfair.com. We identify the statistical differences between the returns that occur when the game play is under way, which we argue are driven by match events, and the returns that occur during half-time, which we ascribe to a trader-driven noise. Furthermore, using detrended fluctuation analysis we identify anti-persistence (Hurst exponent H<0.5) in odds returns and long memory (H>0.5) in the volatilities, which we attribute to the trader-driven noise. The time series of trading volume are found to be short-memory processes.

The memory remains: Understanding collective memory in the digital age

PubMed Central

García-Gavilanes, Ruth; Mollgaard, Anders; Tsvetkova, Milena; Yasseri, Taha

2017-01-01

Recently developed information communication technologies, particularly the Internet, have affected how we, both as individuals and as a society, create, store, and recall information. The Internet also provides us with a great opportunity to study memory using transactional large-scale data in a quantitative framework similar to the practice in natural sciences. We make use of online data by analyzing viewership statistics of Wikipedia articles on aircraft crashes. We study the relation between recent events and past events and particularly focus on understanding memory-triggering patterns. We devise a quantitative model that explains the flow of viewership from a current event to past events based on similarity in time, geography, topic, and the hyperlink structure of Wikipedia articles. We show that, on average, the secondary flow of attention to past events generated by these remembering processes is larger than the primary attention flow to the current event. We report these previously unknown cascading effects. PMID:28435881

The memory remains: Understanding collective memory in the digital age.

PubMed

García-Gavilanes, Ruth; Mollgaard, Anders; Tsvetkova, Milena; Yasseri, Taha

2017-04-01

Recently developed information communication technologies, particularly the Internet, have affected how we, both as individuals and as a society, create, store, and recall information. The Internet also provides us with a great opportunity to study memory using transactional large-scale data in a quantitative framework similar to the practice in natural sciences. We make use of online data by analyzing viewership statistics of Wikipedia articles on aircraft crashes. We study the relation between recent events and past events and particularly focus on understanding memory-triggering patterns. We devise a quantitative model that explains the flow of viewership from a current event to past events based on similarity in time, geography, topic, and the hyperlink structure of Wikipedia articles. We show that, on average, the secondary flow of attention to past events generated by these remembering processes is larger than the primary attention flow to the current event. We report these previously unknown cascading effects.

Identifying employed multiple sclerosis patients at-risk for job loss: When do negative work events pose a threat?

PubMed

Kordovski, Victoria M; Frndak, Seth E; Fisher, Carrie S; Rodgers, Jonathan; Weinstock-Guttman, Bianca; Benedict, Ralph H B

2015-09-01

Physical disability and cognitive impairment are significant predictors of unemployment in multiple sclerosis (MS). However, little is known about the frequency of work problems in employed patients, in comparison to employed healthy persons. Use an online monitoring tool to compare the frequency of negative work events in MS patients and healthy controls, and determine a threshold at which the frequency of work problems is clinically meaningful. The sample comprised 138 MS patients and 62 healthy controls. All reported on recent negative work events and accommodations using an online survey. The clinical test battery measured depression, motor and cognitive function. Statistical tests compared the frequency of work problems in MS patients and healthy controls. Clinical neuro-performance scales were then assessed in at-risk patients with many work problems, versus those with no work problems. As a group, employed MS patients exhibited deficits in motor ability, verbal memory, and processing speed and were more likely than controls to report negative work events and accommodations. At-risk patients, that is, those reporting more than one negative work event, had more pronounced motor and cognitive deficits than their relatively stable counterparts. The data show that employed MS patients report more negative work events and accommodations than employed healthy persons. Those patients deemed at risk for job loss have more cognitive and motor impairment, suggesting the need for cognitive training and specific accommodation strategies in the work place. Copyright © 2015 Elsevier B.V. All rights reserved.

How consumers are affected by product descriptions in online shopping: Event-related potentials evidence of the attribute framing effect.

PubMed

Jin, Jia; Zhang, Wuke; Chen, Mingliang

2017-12-01

Due to the limitations of the human ability to process information, e-consumers' decisions are likely to be influenced by various cognitive biases, such as the attribute framing effect. This effect has been well studied by numerous scholars; however, the associated underlying neural mechanisms with a critical temporal resolution have not been revealed. Thus, this study applies the measurement of event-related potentials (ERPs) to directly examine the role of attribute framing in information processing and decision-making in online shopping. The behavioral results showed that participants demonstrated a higher purchase intention with a shorter reaction time under a positive framing condition compared to participants under a negative framing condition. Compared with positive framing messages, the results of ERPs indicated that negative framing messages attracted more attention resources at the early stage of rapid automatic processing (larger P2 amplitude) and resulted in greater cognitive conflict and decision difficulty (larger P2-N2 complex). Moreover, compared with negative messages, positive framing messages allowed consumers to perceive a better future performance of products and classify these products as a categorization of higher evaluation (larger LPP amplitude) at the late cognitive processing stage of evaluation. Based on these results, we provide evidence for a better understanding of how different attribute framing messages are processed and ultimately lead to the framing effect. Copyright © 2017 Elsevier Ireland Ltd and Japan Neuroscience Society. All rights reserved.

Online processing of tone and intonation in Mandarin: Evidence from ERPs.

PubMed

Liu, Min; Chen, Yiya; Schiller, Niels O

2016-10-01

Event-related potentials (ERPs) were used to investigate the online processing of tone and intonation in Mandarin at the attentive stage. We examined the behavioral and electrophysiological responses of native Mandarin listeners to Mandarin sentences, which contrast in final tones (rising Tone2 or falling Tone4) and intonations (Question or Statement). A clear P300 effect was observed for question-statement contrast in sentences ending with Tone4, but no ERP effect was found for question-statement contrast in sentences ending with Tone2. Our results provide ERP evidence for the interaction of tone and intonation in Mandarin, confirming the findings with behavioral metalinguistic data that native Mandarin listeners can distinguish between question intonation and statement intonation when the intonation is associated with a final Tone4, but fail to do so when the intonation is associated with a final Tone2. Our study extended the understanding of online processing of tone and intonation (1) from the pre-attentive stage to the attentive stage and (2) within a larger domain (i.e. multi-word utterances) than a single word utterance. Copyright © 2016 Elsevier Ltd. All rights reserved.

Discovery Café Now Offers Online Ordering for Catering | Poster

Cancer.gov

If you need to have a breakfast or lunch event/meeting catered, look no further than the Discovery Café in Building 549. You can now place catering orders online for groups of five or more. The café will provide catering services for events or meetings held onsite, as well as those held at the Advanced Technology Research Facility. Orders are delivered to the site of the event

The neural basis of episodic memory: evidence from functional neuroimaging.

PubMed Central

Rugg, Michael D; Otten, Leun J; Henson, Richard N A

2002-01-01

We review some of our recent research using functional neuroimaging to investigate neural activity supporting the encoding and retrieval of episodic memories, that is, memories for unique events. Findings from studies of encoding indicate that, at the cortical level, the regions responsible for the effective encoding of a stimulus event as an episodic memory include some of the regions that are also engaged to process the event 'online'. Thus, it appears that there is no single cortical site or circuit responsible for episodic encoding. The results of retrieval studies indicate that successful recollection of episodic information is associated with activation of lateral parietal cortex, along with more variable patterns of activity in dorsolateral and anterior prefrontal cortex. Whereas parietal regions may play a part in the representation of retrieved information, prefrontal areas appear to support processes that act on the products of retrieval to align behaviour with the demands of the retrieval task. PMID:12217177

Earth Science Data Fusion with Event Building Approach

NASA Technical Reports Server (NTRS)

Lukashin, C.; Bartle, Ar.; Callaway, E.; Gyurjyan, V.; Mancilla, S.; Oyarzun, R.; Vakhnin, A.

2015-01-01

Objectives of the NASA Information And Data System (NAIADS) project are to develop a prototype of a conceptually new middleware framework to modernize and significantly improve efficiency of the Earth Science data fusion, big data processing and analytics. The key components of the NAIADS include: Service Oriented Architecture (SOA) multi-lingual framework, multi-sensor coincident data Predictor, fast into-memory data Staging, multi-sensor data-Event Builder, complete data-Event streaming (a work flow with minimized IO), on-line data processing control and analytics services. The NAIADS project is leveraging CLARA framework, developed in Jefferson Lab, and integrated with the ZeroMQ messaging library. The science services are prototyped and incorporated into the system. Merging the SCIAMACHY Level-1 observations and MODIS/Terra Level-2 (Clouds and Aerosols) data products, and ECMWF re- analysis will be used for NAIADS demonstration and performance tests in compute Cloud and Cluster environments.

Online polarimetry of the Nuclotron internal deuteron and proton beams

NASA Astrophysics Data System (ADS)

Isupov, A. Yu

2017-12-01

The spin studies at Nuclotron require fast and precise determination of the deuteron and proton beam polarization. For these purposes new powerful VME-based data acquisition (DAQ) system has been designed for the Deuteron Spin Structure setup placed at the Nuclotron Internal Target Station. The DAQ system is built using the netgraph-based data acquisition and processing framework ngdp. The software dealing with VME hardware is a set of netgraph nodes in form of the loadable kernel modules, so works in the operating system kernel context. The specific for current implementation nodes and user context utilities are described. The online events representation by ROOT classes allows us to generalize code for histograms filling and polarization calculations. The DAQ system was successfully used during 53rd and 54th Nuclotron runs, and their suitability for online polarimetry is demonstrated.

PAI-OFF: A new proposal for online flood forecasting in flash flood prone catchments

NASA Astrophysics Data System (ADS)

Schmitz, G. H.; Cullmann, J.

2008-10-01

SummaryThe Process Modelling and Artificial Intelligence for Online Flood Forecasting (PAI-OFF) methodology combines the reliability of physically based, hydrologic/hydraulic modelling with the operational advantages of artificial intelligence. These operational advantages are extremely low computation times and straightforward operation. The basic principle of the methodology is to portray process models by means of ANN. We propose to train ANN flood forecasting models with synthetic data that reflects the possible range of storm events. To this end, establishing PAI-OFF requires first setting up a physically based hydrologic model of the considered catchment and - optionally, if backwater effects have a significant impact on the flow regime - a hydrodynamic flood routing model of the river reach in question. Both models are subsequently used for simulating all meaningful and flood relevant storm scenarios which are obtained from a catchment specific meteorological data analysis. This provides a database of corresponding input/output vectors which is then completed by generally available hydrological and meteorological data for characterizing the catchment state prior to each storm event. This database subsequently serves for training both a polynomial neural network (PoNN) - portraying the rainfall-runoff process - and a multilayer neural network (MLFN), which mirrors the hydrodynamic flood wave propagation in the river. These two ANN models replace the hydrological and hydrodynamic model in the operational mode. After presenting the theory, we apply PAI-OFF - essentially consisting of the coupled "hydrologic" PoNN and "hydrodynamic" MLFN - to the Freiberger Mulde catchment in the Erzgebirge (Ore-mountains) in East Germany (3000 km 2). Both the demonstrated computational efficiency and the prediction reliability underline the potential of the new PAI-OFF methodology for online flood forecasting.

Online Data Collection.

ERIC Educational Resources Information Center

Topp, Neal W.; Pawloski, Bob

2002-01-01

Describes the eventful history of online data collection and presents a review of current literature following by a list of pros and cons to be considered when stepping into online surveying. (Contains 14 references.) (Author/YDS)

Fed-batch control based upon the measurement of intracellular NADH

NASA Technical Reports Server (NTRS)

Armiger, W. B.; Lee, J. F.; Montalvo, L. M.; Forro, J. R.

1987-01-01

A series of experiments demonstrating that on-line measurements of intracellular NADH by culture fluorescence can be used to monitor and control the fermentation process are described. A distinct advantage of intercellular NADH measurements over other monitoring techniques such as pH and dissolved oxygen is that it directly measures real time events occurring within the cell rather than changes in the environment. When coupled with other measurement parameters, it can provide a finer degree of sophistication in process control.

Exploiting multicore compute resources in the CMS experiment

NASA Astrophysics Data System (ADS)

Ramírez, J. E.; Pérez-Calero Yzquierdo, A.; Hernández, J. M.; CMS Collaboration

2016-10-01

CMS has developed a strategy to efficiently exploit the multicore architecture of the compute resources accessible to the experiment. A coherent use of the multiple cores available in a compute node yields substantial gains in terms of resource utilization. The implemented approach makes use of the multithreading support of the event processing framework and the multicore scheduling capabilities of the resource provisioning system. Multicore slots are acquired and provisioned by means of multicore pilot agents which internally schedule and execute single and multicore payloads. Multicore scheduling and multithreaded processing are currently used in production for online event selection and prompt data reconstruction. More workflows are being adapted to run in multicore mode. This paper presents a review of the experience gained in the deployment and operation of the multicore scheduling and processing system, the current status and future plans.

Discovery Café Now Offers Online Ordering for Catering | Poster

Cancer.gov

If you need to have a breakfast or lunch event/meeting catered, look no further than the Discovery Café in Building 549. You can now place catering orders online for groups of five or more. The café will provide catering services for events or meetings held onsite, as well as those held at the Advanced Technology Research Facility. Orders are delivered to the site of the event or meeting.

Online track detection in triggerless mode for INO

NASA Astrophysics Data System (ADS)

Jain, A.; Padmini, S.; Joseph, A. N.; Mahesh, P.; Preetha, N.; Behere, A.; Sikder, S. S.; Majumder, G.; Behera, S. P.

2018-03-01

The India based Neutrino Observatory (INO) is a proposed particle physics research project to study the atmospheric neutrinos. INO-Iron Calorimeter (ICAL) will consist of 28,800 detectors having 3.6 million electronic channels expected to activate with 100 Hz single rate, producing data at a rate of 3 GBps. Data collected contains a few real hits generated by muon tracks and the remaining noise-induced spurious hits. Estimated reduction factor after filtering out data of interest from generated data is of the order of 103. This makes trigger generation critical for efficient data collection and storage. Trigger is generated by detecting coincidence across multiple channels satisfying trigger criteria, within a small window of 200 ns in the trigger region. As the probability of neutrino interaction is very low, track detection algorithm has to be efficient and fast enough to process 5 × 106 events-candidates/s without introducing significant dead time, so that not even a single neutrino event is missed out. A hardware based trigger system is presently proposed for on-line track detection considering stringent timing requirements. Though the trigger system can be designed with scalability, a lot of hardware devices and interconnections make it a complex and expensive solution with limited flexibility. A software based track detection approach working on the hit information offers an elegant solution with possibility of varying trigger criteria for selecting various potentially interesting physics events. An event selection approach for an alternative triggerless readout scheme has been developed. The algorithm is mathematically simple, robust and parallelizable. It has been validated by detecting simulated muon events for energies of the range of 1 GeV-10 GeV with 100% efficiency at a processing rate of 60 μs/event on a 16 core machine. The algorithm and result of a proof-of-concept for its faster implementation over multiple cores is presented. The paper also discusses about harnessing the computing capabilities of multi-core computing farm, thereby optimizing number of nodes required for the proposed system.

HepSim: A repository with predictions for high-energy physics experiments

DOE PAGES

Chekanov, S. V.

2015-02-03

A file repository for calculations of cross sections and kinematic distributions using Monte Carlo generators for high-energy collisions is discussed. The repository is used to facilitate effective preservation and archiving of data from theoretical calculations and for comparisons with experimental data. The HepSim data library is publicly accessible and includes a number of Monte Carlo event samples with Standard Model predictions for current and future experiments. The HepSim project includes a software package to automate the process of downloading and viewing online Monte Carlo event samples. Data streaming over a network for end-user analysis is discussed.

The sequentially discounting autoregressive (SDAR) method for on-line automatic seismic event detecting on long term observation

NASA Astrophysics Data System (ADS)

Wang, L.; Toshioka, T.; Nakajima, T.; Narita, A.; Xue, Z.

2017-12-01

In recent years, more and more Carbon Capture and Storage (CCS) studies focus on seismicity monitoring. For the safety management of geological CO2 storage at Tomakomai, Hokkaido, Japan, an Advanced Traffic Light System (ATLS) combined different seismic messages (magnitudes, phases, distributions et al.) is proposed for injection controlling. The primary task for ATLS is the seismic events detection in a long-term sustained time series record. Considering the time-varying characteristics of Signal to Noise Ratio (SNR) of a long-term record and the uneven energy distributions of seismic event waveforms will increase the difficulty in automatic seismic detecting, in this work, an improved probability autoregressive (AR) method for automatic seismic event detecting is applied. This algorithm, called sequentially discounting AR learning (SDAR), can identify the effective seismic event in the time series through the Change Point detection (CPD) of the seismic record. In this method, an anomaly signal (seismic event) can be designed as a change point on the time series (seismic record). The statistical model of the signal in the neighborhood of event point will change, because of the seismic event occurrence. This means the SDAR aims to find the statistical irregularities of the record thought CPD. There are 3 advantages of SDAR. 1. Anti-noise ability. The SDAR does not use waveform messages (such as amplitude, energy, polarization) for signal detecting. Therefore, it is an appropriate technique for low SNR data. 2. Real-time estimation. When new data appears in the record, the probability distribution models can be automatic updated by SDAR for on-line processing. 3. Discounting property. the SDAR introduces a discounting parameter to decrease the influence of present statistic value on future data. It makes SDAR as a robust algorithm for non-stationary signal processing. Within these 3 advantages, the SDAR method can handle the non-stationary time-varying long-term series and achieve real-time monitoring. Finally, we employ the SDAR on a synthetic model and Tomakomai Ocean Bottom Cable (OBC) baseline data to prove the feasibility and advantage of our method.

Event-driven time-optimal control for a class of discontinuous bioreactors.

PubMed

Moreno, Jaime A; Betancur, Manuel J; Buitrón, Germán; Moreno-Andrade, Iván

2006-07-05

Discontinuous bioreactors may be further optimized for processing inhibitory substrates using a convenient fed-batch mode. To do so the filling rate must be controlled in such a way as to push the reaction rate to its maximum value, by increasing the substrate concentration just up to the point where inhibition begins. However, an exact optimal controller requires measuring several variables (e.g., substrate concentrations in the feed and in the tank) and also good model knowledge (e.g., yield and kinetic parameters), requirements rarely satisfied in real applications. An environmentally important case, that exemplifies all these handicaps, is toxicant wastewater treatment. There the lack of online practical pollutant sensors may allow unforeseen high shock loads to be fed to the bioreactor, causing biomass inhibition that slows down the treatment process and, in extreme cases, even renders the biological process useless. In this work an event-driven time-optimal control (ED-TOC) is proposed to circumvent these limitations. We show how to detect a "there is inhibition" event by using some computable function of the available measurements. This event drives the ED-TOC to stop the filling. Later, by detecting the symmetric event, "there is no inhibition," the ED-TOC may restart the filling. A fill-react cycling then maintains the process safely hovering near its maximum reaction rate, allowing a robust and practically time-optimal operation of the bioreactor. An experimental study case of a wastewater treatment process application is presented. There the dissolved oxygen concentration was used to detect the events needed to drive the controller. (c) 2006 Wiley Periodicals, Inc.

Grounding theories of W(e)Learn: a framework for online interprofessional education.

PubMed

Casimiro, Lynn; MacDonald, Colla J; Thompson, Terrie Lynn; Stodel, Emma J

2009-07-01

Interprofessional care (IPC) is a prerequisite for enhanced communication between healthcare team members, improved quality of care, and better outcomes for patients. A move to an IPC model requires changing the learning experiences of healthcare providers during and after their qualification program. With the rapid growth of online and blended approaches to learning, an educational framework that explains how to construct quality learning events to provide IPC is pressing. Such a framework would offer a quality standard to help educators design, develop, deliver, and evaluate online interprofessional education (IPE) programs. IPE is an extremely delicate process due to issues related to knowledge, status, power, accountability, personality traits, and culture that surround IPC. In this paper, a review of the pertinent literature that would inform the development of such a framework is presented. The review covers IPC, IPE, learning theories, and eLearning in healthcare.

Online processing of moral transgressions: ERP evidence for spontaneous evaluation

PubMed Central

Kunkel, Angelika; Mackenzie, Ian G.; Filik, Ruth

2015-01-01

Experimental studies using fictional moral dilemmas indicate that both automatic emotional processes and controlled cognitive processes contribute to moral judgments. However, not much is known about how people process socio-normative violations that are more common to their everyday life nor the time-course of these processes. Thus, we recorded participants’ electrical brain activity while they were reading vignettes that either contained morally acceptable vs unacceptable information or text materials that contained information which was either consistent or inconsistent with their general world knowledge. A first event-related brain potential (ERP) positivity peaking at ∼200 ms after critical word onset (P200) was larger when this word involved a socio-normative or knowledge-based violation. Subsequently, knowledge-inconsistent words triggered a larger centroparietal ERP negativity at ∼320 ms (N400), indicating an influence on meaning construction. In contrast, a larger ERP positivity (larger late positivity), which also started at ∼320 ms after critical word onset, was elicited by morally unacceptable compared with acceptable words. We take this ERP positivity to reflect an implicit evaluative (good–bad) categorization process that is engaged during the online processing of moral transgressions. PMID:25556210

Student Perceptions of Twitters' Effectiveness for Assessment in a Large Enrollment Online Course

ERIC Educational Resources Information Center

Rohr, Linda; Costello, Jane

2015-01-01

During the Winter and Spring 2014 semesters students registered in the online offering of Human Kinetics and Recreation 1000 (N = 589) were asked to participate in two Twitter events encompassing two of the course's assessment activities. In each Twitter event, students were required to post, at minimum, one original tweet and respond to another…

Common Cause Failures and Ultra Reliability

NASA Technical Reports Server (NTRS)

Jones, Harry W.

2012-01-01

A common cause failure occurs when several failures have the same origin. Common cause failures are either common event failures, where the cause is a single external event, or common mode failures, where two systems fail in the same way for the same reason. Common mode failures can occur at different times because of a design defect or a repeated external event. Common event failures reduce the reliability of on-line redundant systems but not of systems using off-line spare parts. Common mode failures reduce the dependability of systems using off-line spare parts and on-line redundancy.

Real Time Global Tests of the ALICE High Level Trigger Data Transport Framework

NASA Astrophysics Data System (ADS)

Becker, B.; Chattopadhyay, S.; Cicalo, C.; Cleymans, J.; de Vaux, G.; Fearick, R. W.; Lindenstruth, V.; Richter, M.; Rohrich, D.; Staley, F.; Steinbeck, T. M.; Szostak, A.; Tilsner, H.; Weis, R.; Vilakazi, Z. Z.

2008-04-01

The High Level Trigger (HLT) system of the ALICE experiment is an online event filter and trigger system designed for input bandwidths of up to 25 GB/s at event rates of up to 1 kHz. The system is designed as a scalable PC cluster, implementing several hundred nodes. The transport of data in the system is handled by an object-oriented data flow framework operating on the basis of the publisher-subscriber principle, being designed fully pipelined with lowest processing overhead and communication latency in the cluster. In this paper, we report the latest measurements where this framework has been operated on five different sites over a global north-south link extending more than 10,000 km, processing a ldquoreal-timerdquo data flow.

Online Tracking Algorithms on GPUs for the P̅ANDA Experiment at FAIR

NASA Astrophysics Data System (ADS)

Bianchi, L.; Herten, A.; Ritman, J.; Stockmanns, T.; Adinetz, A.; Kraus, J.; Pleiter, D.

2015-12-01

P̅ANDA is a future hadron and nuclear physics experiment at the FAIR facility in construction in Darmstadt, Germany. In contrast to the majority of current experiments, PANDA's strategy for data acquisition is based on event reconstruction from free-streaming data, performed in real time entirely by software algorithms using global detector information. This paper reports the status of the development of algorithms for the reconstruction of charged particle tracks, optimized online data processing applications, using General-Purpose Graphic Processing Units (GPU). Two algorithms for trackfinding, the Triplet Finder and the Circle Hough, are described, and details of their GPU implementations are highlighted. Average track reconstruction times of less than 100 ns are obtained running the Triplet Finder on state-of- the-art GPU cards. In addition, a proof-of-concept system for the dispatch of data to tracking algorithms using Message Queues is presented.

Integration of moral values during L2 sentence processing.

PubMed

Foucart, Alice; Moreno, Eva; Martin, Clara D; Costa, Albert

2015-11-01

This study reports an event-related potential (ERP) experiment examining whether valuation (i.e., one's own values) is integrated incrementally and whether it affects L2 speakers' online interpretation of the sentence. We presented Spanish native speakers and French-Spanish mid-proficiency late L2 speakers with visual sentences containing value-consistent and value-inconsistent statements (e.g., 'Nowadays, paedophilia should be prohibited/tolerated across the world.'). Participants' brain activity was recorded as they were reading the sentences and indicating whether they agreed with the statements or not. Behaviourally, the two groups revealed identical valuation. The ERP analyses showed both a semantic (N400) and an affect-related response (LPP) to value-inconsistent statements in the native group, but only an LPP in the non-native group. These results suggest that valuation is integrated online (presence of LPP) during L2 sentence comprehension but that it does not interfere with semantic processing (absence of N400).

Purity of synthetic cannabinoids sold online for recreational use.

PubMed

Ginsburg, Brett C; McMahon, Lance R; Sanchez, Jesus J; Javors, Martin A

2012-01-01

The recreational use of synthetic cannabinoids has recently increased. This increase is due, in part, to the recent availability of inexpensive compound sold legally online in bulk. In particular, JWH-018 (1-pentyl-3-(1-naphthoyl)indole) and JWH-073 (1-butyl-3-(1-naphthoyl)indole) have been found in herbal blends marketed as alternatives to cannabis. Although these particular compounds have recently been emergency scheduled in the United States, online suppliers have shifted sales to other, similar compounds that are not currently scheduled. However, the purity of the drugs obtained from online suppliers is not known. Relative purity of JWH-018 and JWH-073 from three different online suppliers was determined using high-performance liquid chromatography with ultraviolet detection and validated standards obtained from a traditional research chemical supplier. Our results show that JWH-018 and JWH-073 obtained from online vendors was of comparable purity to validated standards, even though the physical properties varied in color, texture, and odor. It is concluded that adverse events following consumption of synthetic cannabinoid preparations is unlikely to be due to impurities or residue from the manufacturing process, but rather to effects of the active drug or interactions with other psychoactive chemicals from herbs blended into products marketed as cannabis alternatives.

Worldwide Engagement for Digitizing Biocollections (WeDigBio): The Biocollections Community's Citizen-Science Space on the Calendar.

PubMed

Ellwood, Elizabeth R; Kimberly, Paul; Guralnick, Robert; Flemons, Paul; Love, Kevin; Ellis, Shari; Allen, Julie M; Best, Jason H; Carter, Richard; Chagnoux, Simon; Costello, Robert; Denslow, Michael W; Dunckel, Betty A; Ferriter, Meghan M; Gilbert, Edward E; Goforth, Christine; Groom, Quentin; Krimmel, Erica R; LaFrance, Raphael; Martinec, Joann Lacey; Miller, Andrew N; Minnaert-Grote, Jamie; Nash, Thomas; Oboyski, Peter; Paul, Deborah L; Pearson, Katelin D; Pentcheff, N Dean; Roberts, Mari A; Seltzer, Carrie E; Soltis, Pamela S; Stephens, Rhiannon; Sweeney, Patrick W; von Konrat, Matt; Wall, Adam; Wetzer, Regina; Zimmerman, Charles; Mast, Austin R

2018-02-01

The digitization of biocollections is a critical task with direct implications for the global community who use the data for research and education. Recent innovations to involve citizen scientists in digitization increase awareness of the value of biodiversity specimens; advance science, technology, engineering, and math literacy; and build sustainability for digitization. In support of these activities, we launched the first global citizen-science event focused on the digitization of biodiversity specimens: Worldwide Engagement for Digitizing Biocollections (WeDigBio). During the inaugural 2015 event, 21 sites hosted events where citizen scientists transcribed specimen labels via online platforms (DigiVol, Les Herbonautes, Notes from Nature, the Smithsonian Institution's Transcription Center, and Symbiota). Many citizen scientists also contributed off-site. In total, thousands of citizen scientists around the world completed over 50,000 transcription tasks. Here, we present the process of organizing an international citizen-science event, an analysis of the event's effectiveness, and future directions-content now foundational to the growing WeDigBio event.

A New Statistics-Based Online Baseline Restorer for a High Count-Rate Fully Digital System.

PubMed

Li, Hongdi; Wang, Chao; Baghaei, Hossain; Zhang, Yuxuan; Ramirez, Rocio; Liu, Shitao; An, Shaohui; Wong, Wai-Hoi

2010-04-01

The goal of this work is to develop a novel, accurate, real-time digital baseline restorer using online statistical processing for a high count-rate digital system such as positron emission tomography (PET). In high count-rate nuclear instrumentation applications, analog signals are DC-coupled for better performance. However, the detectors, pre-amplifiers and other front-end electronics would cause a signal baseline drift in a DC-coupling system, which will degrade the performance of energy resolution and positioning accuracy. Event pileups normally exist in a high-count rate system and the baseline drift will create errors in the event pileup-correction. Hence, a baseline restorer (BLR) is required in a high count-rate system to remove the DC drift ahead of the pileup correction. Many methods have been reported for BLR from classic analog methods to digital filter solutions. However a single channel BLR with analog method can only work under 500 kcps count-rate, and normally an analog front-end application-specific integrated circuits (ASIC) is required for the application involved hundreds BLR such as a PET camera. We have developed a simple statistics-based online baseline restorer (SOBLR) for a high count-rate fully digital system. In this method, we acquire additional samples, excluding the real gamma pulses, from the existing free-running ADC in the digital system, and perform online statistical processing to generate a baseline value. This baseline value will be subtracted from the digitized waveform to retrieve its original pulse with zero-baseline drift. This method can self-track the baseline without a micro-controller involved. The circuit consists of two digital counter/timers, one comparator, one register and one subtraction unit. Simulation shows a single channel works at 30 Mcps count-rate with pileup condition. 336 baseline restorer circuits have been implemented into 12 field-programmable-gate-arrays (FPGA) for our new fully digital PET system.

Retrieval of Emotional Memories

PubMed Central

Buchanan, Tony W.

2008-01-01

Long-term memories are influenced by the emotion experienced during learning as well as by the emotion experienced during memory retrieval. The present article reviews the literature addressing the effects of emotion on retrieval, focusing on the cognitive and neurological mechanisms that have been revealed. The reviewed research suggests that the amygdala, in combination with the hippocampus and prefrontal cortex, plays an important role in the retrieval of memories for emotional events. The neural regions necessary for online emotional processing also influence emotional memory retrieval, perhaps through the reexperience of emotion during the retrieval process. PMID:17723029

Assessment of erosion and sedimentation dynamic in a combined sewer network using online turbidity monitoring.

PubMed

Bersinger, T; Le Hécho, I; Bareille, G; Pigot, T

2015-01-01

Eroded sewer sediments are a significant source of organic matter discharge by combined sewer overflows. Many authors have studied the erosion and sedimentation processes at the scale of a section of sewer pipe and over short time periods. The objective of this study was to assess these processes at the scale of an entire sewer network and over 1 month, to understand whether phenomena observed on a small scale of space and time are still valid on a larger scale. To achieve this objective the continuous monitoring of turbidity was used. First, the study of successive rain events allows observation of the reduction of the available sediment and highlights the widely different erosion resistance for the different sediment layers. Secondly, calculation of daily chemical oxygen demand (COD) fluxes during the entire month was performed showing that sediment storage in the sewer pipe after a rain period is important and stops after 5 days. Nevertheless, during rainfall events, the eroded fluxes are more important than the whole sewer sediment accumulated during a dry weather period. This means that the COD fluxes promoted by runoff are substantial. This work confirms, with online monitoring, most of the conclusions from other studies on a smaller scale.

Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration.

PubMed

Narayanan, Vignesh; Jagannathan, Sarangapani

2017-09-07

In this paper, a distributed control scheme for an interconnected system composed of uncertain input affine nonlinear subsystems with event triggered state feedback is presented by using a novel hybrid learning scheme-based approximate dynamic programming with online exploration. First, an approximate solution to the Hamilton-Jacobi-Bellman equation is generated with event sampled neural network (NN) approximation and subsequently, a near optimal control policy for each subsystem is derived. Artificial NNs are utilized as function approximators to develop a suite of identifiers and learn the dynamics of each subsystem. The NN weight tuning rules for the identifier and event-triggering condition are derived using Lyapunov stability theory. Taking into account, the effects of NN approximation of system dynamics and boot-strapping, a novel NN weight update is presented to approximate the optimal value function. Finally, a novel strategy to incorporate exploration in online control framework, using identifiers, is introduced to reduce the overall cost at the expense of additional computations during the initial online learning phase. System states and the NN weight estimation errors are regulated and local uniformly ultimately bounded results are achieved. The analytical results are substantiated using simulation studies.

Three-Dimensional Online Visualization and Engagement Tools for the Geosciences

NASA Astrophysics Data System (ADS)

Cockett, R.; Moran, T.; Pidlisecky, A.

2013-12-01

Educational tools often sacrifice interactivity in favour of scalability so they can reach more users. This compromise leads to tools that may be viewed as second tier when compared to more engaging activities performed in a laboratory; however, the resources required to deliver laboratory exercises that are scalable is often impractical. Geoscience education is well situated to benefit from interactive online learning tools that allow users to work in a 3D environment. Visible Geology (http://3ptscience.com/visiblegeology) is an innovative web-based application designed to enable visualization of geologic structures and processes through the use of interactive 3D models. The platform allows users to conceptualize difficult, yet important geologic principles in a scientifically accurate manner by developing unique geologic models. The environment allows students to interactively practice their visualization and interpretation skills by creating and interacting with their own models and terrains. Visible Geology has been designed from a user centric perspective resulting in a simple and intuitive interface. The platform directs students to build there own geologic models by adding beds and creating geologic events such as tilting, folding, or faulting. The level of ownership and interactivity encourages engagement, leading learners to discover geologic relationships on their own, in the context of guided assignments. In January 2013, an interactive geologic history assignment was developed for a 700-student introductory geology class at The University of British Columbia. The assignment required students to distinguish the relative age of geologic events to construct a geologic history. Traditionally this type of exercise has been taught through the use of simple geologic cross-sections showing crosscutting relationships; from these cross-sections students infer the relative age of geologic events. In contrast, the Visible Geology assignment offers students a unique experience where they first create their own geologic events allowing them to directly see how the timing of a geologic event manifests in the model and resulting cross-sections. By creating each geologic event in the model themselves, the students gain a deeper understanding of the processes and relative order of events. The resulting models can be shared amongst students, and provide instructors with a basis for guiding inquiry to address misconceptions. The ease of use of the assignment, including automatic assessment, made this tool practical for deployment in this 700 person class. The outcome of this type of large scale deployment is that students, who would normally not experience a lab exercise, gain exposure to interactive 3D thinking. Engaging tools and software that puts the user in control of their learning experiences is critical for moving to scalable, yet engaging, online learning environments.

An Offline-Online Android Application for Hazard Event Mapping Using WebGIS Open Source Technologies

NASA Astrophysics Data System (ADS)

Olyazadeh, Roya; Jaboyedoff, Michel; Sudmeier-Rieux, Karen; Derron, Marc-Henri; Devkota, Sanjaya

2016-04-01

Nowadays, Free and Open Source Software (FOSS) plays an important role in better understanding and managing disaster risk reduction around the world. National and local government, NGOs and other stakeholders are increasingly seeking and producing data on hazards. Most of the hazard event inventories and land use mapping are based on remote sensing data, with little ground truthing, creating difficulties depending on the terrain and accessibility. Open Source WebGIS tools offer an opportunity for quicker and easier ground truthing of critical areas in order to analyse hazard patterns and triggering factors. This study presents a secure mobile-map application for hazard event mapping using Open Source WebGIS technologies such as Postgres database, Postgis, Leaflet, Cordova and Phonegap. The objectives of this prototype are: 1. An Offline-Online android mobile application with advanced Geospatial visualisation; 2. Easy Collection and storage of events information applied services; 3. Centralized data storage with accessibility by all the service (smartphone, standard web browser); 4. Improving data management by using active participation in hazard event mapping and storage. This application has been implemented as a low-cost, rapid and participatory method for recording impacts from hazard events and includes geolocation (GPS data and Internet), visualizing maps with overlay of satellite images, viewing uploaded images and events as cluster points, drawing and adding event information. The data can be recorded in offline (Android device) or online version (all browsers) and consequently uploaded through the server whenever internet is available. All the events and records can be visualized by an administrator and made public after approval. Different user levels can be defined to access the data for communicating the information. This application was tested for landslides in post-earthquake Nepal but can be used for any other type of hazards such as flood, avalanche, etc. Keywords: Offline, Online, WebGIS Open source, Android, Hazard Event Mapping

News coverage of controversial emerging technologies. Evidence for the issue attention cycle in print and online media.

PubMed

Anderson, Ashley A; Brossard, Dominique; Scheufele, Dietram A

2012-01-01

This study analyzes the issue attention cycle for print and online media coverage of a scientific publication examining the deaths of Chinese factory workers due to lung damage from chronic exposure to nanoparticles. The results of the nanoparticle study, published in 2009, embody news values that would make the study a prime candidate for press coverage, namely, novelty, negativity, controversy, and potential widespread impact. Nevertheless, mentions of the event in traditional English-language print media were nearly nonexistent. Online media, on the other hand, gave the story greater coverage. This case study exemplifies why online media may not be bound to the same issue attention cycle that print media are for controversial scientific events.

Eye Movements Reveal the Influence of Event Structure on Reading Behavior.

PubMed

Swets, Benjamin; Kurby, Christopher A

2016-03-01

When we read narrative texts such as novels and newspaper articles, we segment information presented in such texts into discrete events, with distinct boundaries between those events. But do our eyes reflect this event structure while reading? This study examines whether eye movements during the reading of discourse reveal how readers respond online to event structure. Participants read narrative passages as we monitored their eye movements. Several measures revealed that event structure predicted eye movements. In two experiments, we found that both early and overall reading times were longer for event boundaries. We also found that regressive saccades were more likely to land on event boundaries, but that readers were less likely to regress out of an event boundary. Experiment 2 also demonstrated that tracking event structure carries a working memory load. Eye movements provide a rich set of online data to test the cognitive reality of event segmentation during reading. Copyright © 2015 Cognitive Science Society, Inc.

Dual-induced multifractality in online viewing activity.

PubMed

Qin, Yu-Hao; Zhao, Zhi-Dan; Cai, Shi-Min; Gao, Liang; Stanley, H Eugene

2018-01-01

Although recent studies have found that the long-term correlations relating to the fat-tailed distribution of inter-event times exist in human activity and that these correlations indicate the presence of fractality, the property of fractality and its origin have not been analyzed. We use both detrended fluctuation analysis and multifractal detrended fluctuation analysis to analyze the time series in online viewing activity separating from Movielens and Netflix. We find long-term correlations at both the individual and communal levels and that the extent of correlation at the individual level is determined by the activity level. These long-term correlations also indicate that there is fractality in the pattern of online viewing. We first find a multifractality that results from the combined effect of the fat-tailed distribution of inter-event times (i.e., the times between successive viewing actions of individuals) and the long-term correlations in online viewing activity and verify this finding using three synthesized series. Therefore, it can be concluded that the multifractality in online viewing activity is caused by both the fat-tailed distribution of inter-event times and the long-term correlations and that this enlarges the generic property of human activity to include not just physical space but also cyberspace.

Dual-induced multifractality in online viewing activity

NASA Astrophysics Data System (ADS)

Qin, Yu-Hao; Zhao, Zhi-Dan; Cai, Shi-Min; Gao, Liang; Stanley, H. Eugene

2018-01-01

Although recent studies have found that the long-term correlations relating to the fat-tailed distribution of inter-event times exist in human activity and that these correlations indicate the presence of fractality, the property of fractality and its origin have not been analyzed. We use both detrended fluctuation analysis and multifractal detrended fluctuation analysis to analyze the time series in online viewing activity separating from Movielens and Netflix. We find long-term correlations at both the individual and communal levels and that the extent of correlation at the individual level is determined by the activity level. These long-term correlations also indicate that there is fractality in the pattern of online viewing. We first find a multifractality that results from the combined effect of the fat-tailed distribution of inter-event times (i.e., the times between successive viewing actions of individuals) and the long-term correlations in online viewing activity and verify this finding using three synthesized series. Therefore, it can be concluded that the multifractality in online viewing activity is caused by both the fat-tailed distribution of inter-event times and the long-term correlations and that this enlarges the generic property of human activity to include not just physical space but also cyberspace.

The time course of syntactic activation during language processing: a model based on neuropsychological and neurophysiological data.

PubMed

Friederici, A D

1995-09-01

This paper presents a model describing the temporal and neurotopological structure of syntactic processes during comprehension. It postulates three distinct phases of language comprehension, two of which are primarily syntactic in nature. During the first phase the parser assigns the initial syntactic structure on the basis of word category information. These early structural processes are assumed to be subserved by the anterior parts of the left hemisphere, as event-related brain potentials show this area to be maximally activated when phrase structure violations are processed and as circumscribed lesions in this area lead to an impairment of the on-line structural assignment. During the second phase lexical-semantic and verb-argument structure information is processed. This phase is neurophysiologically manifest in a negative component in the event-related brain potential around 400 ms after stimulus onset which is distributed over the left and right temporo-parietal areas when lexical-semantic information is processed and over left anterior areas when verb-argument structure information is processed. During the third phase the parser tries to map the initial syntactic structure onto the available lexical-semantic and verb-argument structure information. In case of an unsuccessful match between the two types of information reanalyses may become necessary. These processes of structural reanalysis are correlated with a centroparietally distributed late positive component in the event-related brain potential.(ABSTRACT TRUNCATED AT 250 WORDS)

School Teachers' Continuous Professional Development in an Online Learning Community: Lessons from a Case Study of an eTwinning Learning Event

ERIC Educational Resources Information Center

Holmes, Brian

2013-01-01

A social revolution is occurring in the way information is shared, knowledge is generated and innovation takes place over the Internet and there is renewed interest in the social concept of "community" to support online learning. This article describes action research conducted in the context of an eTwinning Learning Event (LE) that…

E-Learning in Massachusetts

ERIC Educational Resources Information Center

Graziano, April

2005-01-01

This document presents some of the many ways schools are using online technologies. The report illustrates how Massachusetts educators are taking advantage of e-learning opportunities to improve student learning. Educators across the state are using online courses and resources, engaging in online events and projects, and showing interest in…

Qualitative Exploration of the Potential for Adverse Events When Using an Online Peer Support Network for Mental Health: Cross-Sectional Survey.

PubMed

Easton, Katherine; Diggle, Jacob; Ruethi-Davis, Mabel; Holmes, Megan; Byron-Parker, Darian; Nuttall, Jessica; Blackmore, Chris

2017-10-30

Online peer support networks are a growing area of mental health support for offering social connection, identity, and support. However, it has been reported that not all individuals have a positive experience on such networks. The potential for adverse events within a moderated online peer support network is a new area of research exploration. The objective of the study was to determine if use of an online moderated peer networks leads to adverse events for users. Four biannual online surveys (October 2014 to March 2016) were conducted by a large national UK mental health charity, with users of their online peer support network exploring personal safety, moderation, experiences on the site, and how the site could be improved. Data were analyzed using thematic analysis by 2 independent researchers using a priori themes: negative experiences of moderation, social exclusion, contagion, negative interactions with other users, online relationships, co-rumination and collusion, and other. In total, 2353 survey responses were logged with 197 (8.37%) documenting an adverse event of negative experience. A dominant theme of negative experiences of moderation emerged (73/197, 37.1%) with evidence of social exclusion (50/197, 25.4%). Reading user posts was shown to be a cause of worry and distress for a few users, and analysis highlighted several instances of depressogenic and emotional contagion as well as some limited evidence of behavioral contagion (46/197, 23.4%). Very limited evidence of co-rumination (1/197, 0.5%) and no evidence of collusion were identified. Evidence of adverse events was identified at low levels in the sample of respondents, although we have no comparison data to indicate if levels are low compared with comparable platforms. Not all users of online peer support networks find them wholly beneficial. Research must explore what works for whom. The next stage of service development should consider which users may be likely to receive no benefit, or even deteriorate, as a result of using the service. ©Katherine Easton, Jacob Diggle, Mabel Ruethi-Davis, Megan Holmes, Darian Byron-Parker, Jessica Nuttall, Chris Blackmore. Originally published in JMIR Mental Health (http://mental.jmir.org), 30.10.2017.

AthenaMT: upgrading the ATLAS software framework for the many-core world with multi-threading

NASA Astrophysics Data System (ADS)

Leggett, Charles; Baines, John; Bold, Tomasz; Calafiura, Paolo; Farrell, Steven; van Gemmeren, Peter; Malon, David; Ritsch, Elmar; Stewart, Graeme; Snyder, Scott; Tsulaia, Vakhtang; Wynne, Benjamin; ATLAS Collaboration

2017-10-01

ATLAS’s current software framework, Gaudi/Athena, has been very successful for the experiment in LHC Runs 1 and 2. However, its single threaded design has been recognized for some time to be increasingly problematic as CPUs have increased core counts and decreased available memory per core. Even the multi-process version of Athena, AthenaMP, will not scale to the range of architectures we expect to use beyond Run2. After concluding a rigorous requirements phase, where many design components were examined in detail, ATLAS has begun the migration to a new data-flow driven, multi-threaded framework, which enables the simultaneous processing of singleton, thread unsafe legacy Algorithms, cloned Algorithms that execute concurrently in their own threads with different Event contexts, and fully re-entrant, thread safe Algorithms. In this paper we report on the process of modifying the framework to safely process multiple concurrent events in different threads, which entails significant changes in the underlying handling of features such as event and time dependent data, asynchronous callbacks, metadata, integration with the online High Level Trigger for partial processing in certain regions of interest, concurrent I/O, as well as ensuring thread safety of core services. We also report on upgrading the framework to handle Algorithms that are fully re-entrant.

Fluctuations in Wikipedia access-rate and edit-event data

NASA Astrophysics Data System (ADS)

Kämpf, Mirko; Tismer, Sebastian; Kantelhardt, Jan W.; Muchnik, Lev

2012-12-01

Internet-based social networks often reflect extreme events in nature and society by drastic increases in user activity. We study and compare the dynamics of the two major complex processes necessary for information spread via the online encyclopedia ‘Wikipedia’, i.e., article editing (information upload) and article access (information viewing) based on article edit-event time series and (hourly) user access-rate time series for all articles. Daily and weekly activity patterns occur in addition to fluctuations and bursting activity. The bursts (i.e., significant increases in activity for an extended period of time) are characterized by a power-law distribution of durations of increases and decreases. For describing the recurrence and clustering of bursts we investigate the statistics of the return intervals between them. We find stretched exponential distributions of return intervals in access-rate time series, while edit-event time series yield simple exponential distributions. To characterize the fluctuation behavior we apply detrended fluctuation analysis (DFA), finding that most article access-rate time series are characterized by strong long-term correlations with fluctuation exponents α≈0.9. The results indicate significant differences in the dynamics of information upload and access and help in understanding the complex process of collecting, processing, validating, and distributing information in self-organized social networks.

Participatory surveillance of diabetes device safety: a social media-based complement to traditional FDA reporting.

PubMed

Mandl, Kenneth D; McNabb, Marion; Marks, Norman; Weitzman, Elissa R; Kelemen, Skyler; Eggleston, Emma M; Quinn, Maryanne

2014-01-01

Malfunctions or poor usability of devices measuring glucose or delivering insulin are reportable to the FDA. Manufacturers submit 99.9% of these reports. We test online social networks as a complementary source to traditional FDA reporting of device-related adverse events. Participatory surveillance of members of a non-profit online social network, TuDiabetes.org, from October 2011 to September 2012. Subjects were volunteers from a group within TuDiabetes, actively engaged online in participatory surveillance. They used the free TuAnalyze app, a privacy-preserving method to report detailed clinical information, available through the network. Network members were polled about finger-stick blood glucose monitors, continuous glucose monitors, and insulin delivery devices, including insulin pumps and insulin pens. Of 549 participants, 75 reported device-related adverse events, nearly half (48.0%) requiring intervention from another person to manage the event. Only three (4.0%) of these were reported by participants to the FDA. All TuAnalyze reports contained outcome information compared with 22% of reports to the FDA. Hypoglycemia and hyperglycemia were experienced by 48.0% and 49.3% of participants, respectively. Members of an online community readily engaged in participatory surveillance. While polling distributed online populations does not yield generalizable, denominator-based rates, this approach can characterize risk within online communities using a bidirectional communication channel that enables reach-back and intervention. Engagement of distributed communities in social networks is a viable complementary approach to traditional public health surveillance for adverse events related to medical devices. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Efficient FIR Filter Implementations for Multichannel BCIs Using Xilinx System Generator.

PubMed

Ghani, Usman; Wasim, Muhammad; Khan, Umar Shahbaz; Mubasher Saleem, Muhammad; Hassan, Ali; Rashid, Nasir; Islam Tiwana, Mohsin; Hamza, Amir; Kashif, Amir

2018-01-01

Background . Brain computer interface (BCI) is a combination of software and hardware communication protocols that allow brain to control external devices. Main purpose of BCI controlled external devices is to provide communication medium for disabled persons. Now these devices are considered as a new way to rehabilitate patients with impunities. There are certain potentials present in electroencephalogram (EEG) that correspond to specific event. Main issue is to detect such event related potentials online in such a low signal to noise ratio (SNR). In this paper we propose a method that will facilitate the concept of online processing by providing an efficient filtering implementation in a hardware friendly environment by switching to finite impulse response (FIR). Main focus of this research is to minimize latency and computational delay of preprocessing related to any BCI application. Four different finite impulse response (FIR) implementations along with large Laplacian filter are implemented in Xilinx System Generator. Efficiency of 25% is achieved in terms of reduced number of coefficients and multiplications which in turn reduce computational delays accordingly.

Does grammatical aspect affect motion event cognition? A cross-linguistic comparison of English and Swedish speakers.

PubMed

Athanasopoulos, Panos; Bylund, Emanuel

2013-03-01

In this article, we explore whether cross-linguistic differences in grammatical aspect encoding may give rise to differences in memory and cognition. We compared native speakers of two languages that encode aspect differently (English and Swedish) in four tasks that examined verbal descriptions of stimuli, online triads matching, and memory-based triads matching with and without verbal interference. Results showed between-group differences in verbal descriptions and in memory-based triads matching. However, no differences were found in online triads matching and in memory-based triads matching with verbal interference. These findings need to be interpreted in the context of the overall pattern of performance, which indicated that both groups based their similarity judgments on common perceptual characteristics of motion events. These results show for the first time a cross-linguistic difference in memory as a function of differences in grammatical aspect encoding, but they also contribute to the emerging view that language fine tunes rather than shapes perceptual processes that are likely to be universal and unchanging. Copyright © 2012 Cognitive Science Society, Inc.

Open Online Spaces of Professional Learning: Context, Personalisation and Facilitation

ERIC Educational Resources Information Center

Evans, Peter

2015-01-01

This article explores professional learning through online discussion events as sites of communities of learning. The rise of distributed work places and networked labour coincides with a privileging of individualised professional learning. Alongside this focus on the individual has been a growth in informal online learning communities and…

User Centric Job Monitoring - a redesign and novel approach in the STAR experiment

NASA Astrophysics Data System (ADS)

Arkhipkin, D.; Lauret, J.; Zulkarneeva, Y.

2014-06-01

User Centric Monitoring (or UCM) has been a long awaited feature in STAR, whereas programs, workflows and system "events" could be logged, broadcast and later analyzed. UCM allows to collect and filter available job monitoring information from various resources and present it to users in a user-centric view rather than an administrative-centric point of view. The first attempt and implementation of "a" UCM approach was made in STAR 2004 using a log4cxx plug-in back-end and then further evolved with an attempt to push toward a scalable database back-end (2006) and finally using a Web-Service approach (2010, CSW4DB SBIR). The latest showed to be incomplete and not addressing the evolving needs of the experiment where streamlined messages for online (data acquisition) purposes as well as the continuous support for the data mining needs and event analysis need to coexists and unified in a seamless approach. The code also revealed to be hardly maintainable. This paper presents the next evolutionary step of the UCM toolkit, a redesign and redirection of our latest attempt acknowledging and integrating recent technologies and a simpler, maintainable and yet scalable manner. The extended version of the job logging package is built upon three-tier approach based on Task, Job and Event, and features a Web-Service based logging API, a responsive AJAX-powered user interface, and a database back-end relying on MongoDB, which is uniquely suited for STAR needs. In addition, we present details of integration of this logging package with the STAR offline and online software frameworks. Leveraging on the reported experience and work from the ATLAS and CMS experience on using the ESPER engine, we discuss and show how such approach has been implemented in STAR for meta-data event triggering stream processing and filtering. An ESPER based solution seems to fit well into the online data acquisition system where many systems are monitored.

Online processing of moral transgressions: ERP evidence for spontaneous evaluation.

PubMed

Leuthold, Hartmut; Kunkel, Angelika; Mackenzie, Ian G; Filik, Ruth

2015-08-01

Experimental studies using fictional moral dilemmas indicate that both automatic emotional processes and controlled cognitive processes contribute to moral judgments. However, not much is known about how people process socio-normative violations that are more common to their everyday life nor the time-course of these processes. Thus, we recorded participants' electrical brain activity while they were reading vignettes that either contained morally acceptable vs unacceptable information or text materials that contained information which was either consistent or inconsistent with their general world knowledge. A first event-related brain potential (ERP) positivity peaking at ∼200 ms after critical word onset (P200) was larger when this word involved a socio-normative or knowledge-based violation. Subsequently, knowledge-inconsistent words triggered a larger centroparietal ERP negativity at ∼320 ms (N400), indicating an influence on meaning construction. In contrast, a larger ERP positivity (larger late positivity), which also started at ∼320 ms after critical word onset, was elicited by morally unacceptable compared with acceptable words. We take this ERP positivity to reflect an implicit evaluative (good-bad) categorization process that is engaged during the online processing of moral transgressions. © The Author (2015). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Use of the Hadoop structured storage tools for the ATLAS EventIndex event catalogue

NASA Astrophysics Data System (ADS)

Favareto, A.

2016-09-01

The ATLAS experiment at the LHC collects billions of events each data-taking year, and processes them to make them available for physics analysis in several different formats. An even larger amount of events is in addition simulated according to physics and detector models and then reconstructed and analysed to be compared to real events. The EventIndex is a catalogue of all events in each production stage; it includes for each event a few identification parameters, some basic non-mutable information coming from the online system, and the references to the files that contain the event in each format (plus the internal pointers to the event within each file for quick retrieval). Each EventIndex record is logically simple but the system has to hold many tens of billions of records, all equally important. The Hadoop technology was selected at the start of the EventIndex project development in 2012 and proved to be robust and flexible to accommodate this kind of information; both the insertion and query response times are acceptable for the continuous and automatic operation that started in Spring 2015. This paper describes the EventIndex data input and organisation in Hadoop and explains the operational challenges that were overcome in order to achieve the expected performance.

Exploring the process of writing about and sharing traumatic birth experiences online.

PubMed

Blainey, Sarah H; Slade, Pauline

2015-05-01

This study aimed to explore the experience of writing about a traumatic birth experience and sharing it online. Twelve women who had submitted their stories about traumatic birth experiences to the Birth Trauma Association for online publication were interviewed about their experiences. Women were interviewed shortly after writing but before posting and again 1 month after the story was posted online. All participants completed both interviews. These were transcribed and analysed using template analysis. Women described varied reasons for writing and sharing their stories, including wanting to help themselves and others. The process of writing was described as emotional, however was generally seen as a positive thing. Aspects of writing that were identified as helpful included organizing their experiences into a narrative, and distancing themselves from the experience. Writing and posting online about a traumatic birth is experienced positively by women. It may be a useful self-help intervention and is worthy of systematic evaluation. The mechanisms through which writing is reported to have impacted as described in the interviews link to the mechanisms of change in cognitive-behavioural approaches to post-traumatic symptoms. Statement of contribution What is already known on this subject? Some women develop post-traumatic stress disorder-like symptoms following birth. These can impact on both themselves and their family, yet these women may not seek professional help. Writing about a traumatic event may be a useful approach for reducing post-traumatic stress symptoms, but the impact of online sharing is unknown. What does this study add? This study demonstrates that women report benefits from writing about their birth experiences. Writing enabled organizing the experience into a narrative and distancing from the trauma, which was helpful. Sharing the story online was an emotional experience for participants, however was generally seen positively. © 2014 The British Psychological Society.

Concept and realization of a fully configurable and programmable data-acquisition system for the neutron scattering instruments at SINQ

NASA Astrophysics Data System (ADS)

Greuter, U.; Buehler, C.; Rasmussen, P.; Emmenegger, M.; Maden, D.; Koennecke, M.; Schlumpf, N.

We present the basic concept and the realization of our fully configurable data-acquisition hardware for the neutron scattering instruments at SINQ. This system allows collection of the different data entities and event-related signals generated by the various detector units. It offers a variety of synchronization options, including a time-measuring mode for time-of-flight determinations. Based on configurable logic (FPGA, CPLD), event rates up to the MHz range can be processed and transmitted to a programmable online data-reduction system (Histogram Memory). It is implemented on a commercially available VME Power PC module running a real-time operating system (VxWorks).

Content and Community Redux: Instructor and Student Interpretations of Online Communication in a Graduate Seminar.

ERIC Educational Resources Information Center

Dykes, Mary E.; Schwier, Richard A.

2003-01-01

Examines the experiences of an instructor and teaching assistant who employed online communication strategies in a graduate seminar to deliberately foster the development of a virtual learning community using synchronous and asynchronous online events. Compared their reflections with what the student reported about their learning in online…

Fun Databases: My Top Ten.

ERIC Educational Resources Information Center

O'Leary, Mick

1992-01-01

Provides reviews of 10 online databases: Consumer Reports; Public Opinion Online; Encyclopedia of Associations; Official Airline Guide Adventure Atlas and Events Calendar; CENDATA; Hollywood Hotline; Fearless Taster; Soap Opera Summaries; and Human Sexuality. (LRW)

Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media

PubMed Central

Grabowicz, Przemyslaw A.; Ramasco, José J.; Moro, Esteban; Pujol, Josep M.; Eguiluz, Victor M.

2012-01-01

An increasing fraction of today's social interactions occur using online social media as communication channels. Recent worldwide events, such as social movements in Spain or revolts in the Middle East, highlight their capacity to boost people's coordination. Online networks display in general a rich internal structure where users can choose among different types and intensity of interactions. Despite this, there are still open questions regarding the social value of online interactions. For example, the existence of users with millions of online friends sheds doubts on the relevance of these relations. In this work, we focus on Twitter, one of the most popular online social networks, and find that the network formed by the basic type of connections is organized in groups. The activity of the users conforms to the landscape determined by such groups. Furthermore, Twitter's distinction between different types of interactions allows us to establish a parallelism between online and offline social networks: personal interactions are more likely to occur on internal links to the groups (the weakness of strong ties); events transmitting new information go preferentially through links connecting different groups (the strength of weak ties) or even more through links connecting to users belonging to several groups that act as brokers (the strength of intermediary ties). PMID:22247773

Worldwide Engagement for Digitizing Biocollections (WeDigBio): The Biocollections Community's Citizen-Science Space on the Calendar

PubMed Central

Kimberly, Paul; Guralnick, Robert; Flemons, Paul; Love, Kevin; Ellis, Shari; Allen, Julie M; Best, Jason H; Carter, Richard; Chagnoux, Simon; Costello, Robert; Denslow, Michael W; Dunckel, Betty A; Ferriter, Meghan M; Gilbert, Edward E; Goforth, Christine; Groom, Quentin; Krimmel, Erica R; LaFrance, Raphael; Martinec, Joann Lacey; Miller, Andrew N; Minnaert-Grote, Jamie; Nash, Thomas; Oboyski, Peter; Paul, Deborah L; Pearson, Katelin D; Pentcheff, N Dean; Roberts, Mari A; Seltzer, Carrie E; Soltis, Pamela S; Stephens, Rhiannon; Sweeney, Patrick W; von Konrat, Matt; Wall, Adam; Wetzer, Regina; Zimmerman, Charles; Mast, Austin R

2018-01-01

Abstract The digitization of biocollections is a critical task with direct implications for the global community who use the data for research and education. Recent innovations to involve citizen scientists in digitization increase awareness of the value of biodiversity specimens; advance science, technology, engineering, and math literacy; and build sustainability for digitization. In support of these activities, we launched the first global citizen-science event focused on the digitization of biodiversity specimens: Worldwide Engagement for Digitizing Biocollections (WeDigBio). During the inaugural 2015 event, 21 sites hosted events where citizen scientists transcribed specimen labels via online platforms (DigiVol, Les Herbonautes, Notes from Nature, the Smithsonian Institution's Transcription Center, and Symbiota). Many citizen scientists also contributed off-site. In total, thousands of citizen scientists around the world completed over 50,000 transcription tasks. Here, we present the process of organizing an international citizen-science event, an analysis of the event's effectiveness, and future directions—content now foundational to the growing WeDigBio event. PMID:29599548

LHCb detector and trigger performance in Run II

NASA Astrophysics Data System (ADS)

Francesca, Dordei

2017-12-01

The LHCb detector is a forward spectrometer at the LHC, designed to perform high precision studies of b- and c- hadrons. In Run II of the LHC, a new scheme for the software trigger at LHCb allows splitting the triggering of events into two stages, giving room to perform the alignment and calibration in real time. In the novel detector alignment and calibration strategy for Run II, data collected at the start of the fill are processed in a few minutes and used to update the alignment, while the calibration constants are evaluated for each run. This allows identical constants to be used in the online and offline reconstruction, thus improving the correlation between triggered and offline selected events. The required computing time constraints are met thanks to a new dedicated framework using the multi-core farm infrastructure for the trigger. The larger timing budget, available in the trigger, allows to perform the same track reconstruction online and offline. This enables LHCb to achieve the best reconstruction performance already in the trigger, and allows physics analyses to be performed directly on the data produced by the trigger reconstruction. The novel real-time processing strategy at LHCb is discussed from both the technical and operational point of view. The overall performance of the LHCb detector on the data of Run II is presented as well.

Concept indexing and expansion for social multimedia websites based on semantic processing and graph analysis

NASA Astrophysics Data System (ADS)

Lin, Po-Chuan; Chen, Bo-Wei; Chang, Hangbae

2016-07-01

This study presents a human-centric technique for social video expansion based on semantic processing and graph analysis. The objective is to increase metadata of an online video and to explore related information, thereby facilitating user browsing activities. To analyze the semantic meaning of a video, shots and scenes are firstly extracted from the video on the server side. Subsequently, this study uses annotations along with ConceptNet to establish the underlying framework. Detailed metadata, including visual objects and audio events among the predefined categories, are indexed by using the proposed method. Furthermore, relevant online media associated with each category are also analyzed to enrich the existing content. With the above-mentioned information, users can easily browse and search the content according to the link analysis and its complementary knowledge. Experiments on a video dataset are conducted for evaluation. The results show that our system can achieve satisfactory performance, thereby demonstrating the feasibility of the proposed idea.

The CMS Data Acquisition - Architectures for the Phase-2 Upgrade

NASA Astrophysics Data System (ADS)

Andre, J.-M.; Behrens, U.; Branson, J.; Brummer, P.; Chaze, O.; Cittolin, S.; Contescu, C.; Craigs, B. G.; Darlea, G.-L.; Deldicque, C.; Demiragli, Z.; Dobson, M.; Doualot, N.; Erhan, S.; Fulcher, J. F.; Gigi, D.; Gładki, M.; Glege, F.; Gomez-Ceballos, G.; Hegeman, J.; Holzner, A.; Janulis, M.; Jimenez-Estupiñán, R.; Masetti, L.; Meijers, F.; Meschi, E.; Mommsen, R. K.; Morovic, S.; O'Dell, V.; Orsini, L.; Paus, C.; Petrova, P.; Pieri, M.; Racz, A.; Reis, T.; Sakulin, H.; Schwick, C.; Simelevicius, D.; Zejdl, P.

2017-10-01

The upgraded High Luminosity LHC, after the third Long Shutdown (LS3), will provide an instantaneous luminosity of 7.5 × 1034 cm-2 s -1 (levelled), at the price of extreme pileup of up to 200 interactions per crossing. In LS3, the CMS Detector will also undergo a major upgrade to prepare for the phase-2 of the LHC physics program, starting around 2025. The upgraded detector will be read out at an unprecedented data rate of up to 50 Tb/s and an event rate of 750 kHz. Complete events will be analysed by software algorithms running on standard processing nodes, and selected events will be stored permanently at a rate of up to 10 kHz for offline processing and analysis. In this paper we discuss the baseline design of the DAQ and HLT systems for the phase-2, taking into account the projected evolution of high speed network fabrics for event building and distribution, and the anticipated performance of general purpose CPU. Implications on hardware and infrastructure requirements for the DAQ “data center” are analysed. Emerging technologies for data reduction are considered. Novel possible approaches to event building and online processing, inspired by trending developments in other areas of computing dealing with large masses of data, are also examined. We conclude by discussing the opportunities offered by reading out and processing parts of the detector, wherever the front-end electronics allows, at the machine clock rate (40 MHz). This idea presents interesting challenges and its physics potential should be studied.

The CMS Data Acquisition - Architectures for the Phase-2 Upgrade

DOE PAGES

Andre, J-M; Behrens, U.; Branson, J.; ...

2017-10-01

The upgraded High Luminosity LHC, after the third Long Shutdown (LS3), will provide an instantaneous luminosity of 7.5 × 10 34 cm -2 s -1 (levelled), at the price of extreme pileup of up to 200 interactions per crossing. In LS3, the CMS Detector will also undergo a major upgrade to prepare for the phase-2 of the LHC physics program, starting around 2025. The upgraded detector will be read out at an unprecedented data rate of up to 50 Tb/s and an event rate of 750 kHz. Complete events will be analysed by software algorithms running on standard processing nodes,more » and selected events will be stored permanently at a rate of up to 10 kHz for offline processing and analysis. Here in this paper we discuss the baseline design of the DAQ and HLT systems for the phase-2, taking into account the projected evolution of high speed network fabrics for event building and distribution, and the anticipated performance of general purpose CPU. Implications on hardware and infrastructure requirements for the DAQ “data center” are analysed. Emerging technologies for data reduction are considered. Novel possible approaches to event building and online processing, inspired by trending developments in other areas of computing dealing with large masses of data, are also examined. We conclude by discussing the opportunities offered by reading out and processing parts of the detector, wherever the front-end electronics allows, at the machine clock rate (40 MHz). This idea presents interesting challenges and its physics potential should be studied.« less

Cardiac Rehabilitation Online Pilot: Extending Reach of Cardiac Rehabilitation.

PubMed

Higgins, Rosemary O; Rogerson, Michelle; Murphy, Barbara M; Navaratnam, Hema; Butler, Michael V; Barker, Lauren; Turner, Alyna; Lefkovits, Jeffrey; Jackson, Alun C

While cardiac rehabilitation (CR) is recommended for all patients after an acute cardiac event, limitations exist in reach. The purpose of the current study was to develop and pilot a flexible online CR program based on self-management principles "Help Yourself Online." The program was designed as an alternative to group-based CR as well as to complement traditional CR. The program was based on existing self-management resources developed previously by the Heart Research Centre. Twenty-one patients admitted to Cabrini Health for an acute cardiac event were recruited to test the program. The program was evaluated using qualitative and quantitative methods. Quantitative results demonstrated that patients believed the program would assist them in their self-management. Qualitative evaluation, using focus group and interview methods with 15 patients, showed that patients perceived the online CR approach to be a useful instrument for self-management. Broader implications of the data include the acceptability of the intervention, timing of intervention delivery, and patients' desire for additional online community support.

Online training delivery in meteorological continued education and training: Eumetcal experiences & plans

NASA Astrophysics Data System (ADS)

Siili, Tero; Haga, Lisa; Neitiniemi-Upola, Leena

2013-04-01

Eumetcal is the Education and Training (E & T) project of EUMETNET - the collaboration organ­isation of European National Meteorological and Hydrological Services (NMHSs) - with emphasis on Computer Assisted Learning (CAL) from the project's inception in 2002. Finnish Meteorological Institute has been assigned to manage the Eumetcal project since the onset of the project's pilot phase. Participat­ing NMHSs cover most of Europe, their number exceeds 20 and the scales and scopes of their in-house E & T activities vary widely. Eumetcal also collaborates with a number of E & T organisations in Europe and worldwide. Eumetcal's target group includes the meteorological staff and E & T personnel of the participant NMHSs; the target group is hence geographically widely distributed. The subject matters covered include not only scientific and technical skills and competencies, but also other types of competen­cies relevant to NMHSs' staff. Eumetcal's goal and task is to supplement the E & T activities of the participants through collabora­tion and networking, both between project participants and with other E & T organisations. The project also utilises Information and Communications Technologies extensively in delivery of E & T events and materials: Eumetcal is a Virtual Training Organisation and emphasises online and blended E & T events. In the last five years the project has organised or contributed to at least 2-4 E & T events per year. This presentation a) gives an overview of the Eumetcal project and its place among meteorological E & T organisations in Europe and globally, as well as b) describes the E & T events the project has delivered or contributed to in the last years and plans to deliver in 2013. Emphasis will be on the online and blended events and lessons learned from designing and implementing these events and the benefits of using online training.

Grammatical verb aspect and event roles in sentence processing.

PubMed

Madden-Lombardi, Carol; Dominey, Peter Ford; Ventre-Dominey, Jocelyne

2017-01-01

Two experiments examine how grammatical verb aspect constrains our understanding of events. According to linguistic theory, an event described in the perfect aspect (John had opened the bottle) should evoke a mental representation of a finished event with focus on the resulting object, whereas an event described in the imperfective aspect (John was opening the bottle) should evoke a representation of the event as ongoing, including all stages of the event, and focusing all entities relevant to the ongoing action (instruments, objects, agents, locations, etc.). To test this idea, participants saw rebus sentences in the perfect and imperfective aspect, presented one word at a time, self-paced. In each sentence, the instrument and the recipient of the action were replaced by pictures (John was using/had used a *corkscrew* to open the *bottle* at the restaurant). Time to process the two images as well as speed and accuracy on sensibility judgments were measured. Although experimental sentences always made sense, half of the object and instrument pictures did not match the temporal constraints of the verb. For instance, in perfect sentences aspect-congruent trials presented an image of the corkscrew closed (no longer in-use) and the wine bottle fully open. The aspect-incongruent yet still sensible versions either replaced the corkscrew with an in-use corkscrew (open, in-hand) or the bottle image with a half-opened bottle. In this case, the participant would still respond "yes", but with longer expected response times. A three-way interaction among Verb Aspect, Sentence Role, and Temporal Match on image processing times showed that participants were faster to process images that matched rather than mismatched the aspect of the verb, especially for resulting objects in perfect sentences. A second experiment replicated and extended the results to confirm that this was not due to the placement of the object in the sentence. These two experiments extend previous research, showing how verb aspect drives not only the temporal structure of event representation, but also the focus on specific roles of the event. More generally, the findings of visual match during online sentence-picture processing are consistent with theories of perceptual simulation.

Grammatical verb aspect and event roles in sentence processing

PubMed Central

Madden-Lombardi, Carol; Dominey, Peter Ford; Ventre-Dominey, Jocelyne

2017-01-01

Two experiments examine how grammatical verb aspect constrains our understanding of events. According to linguistic theory, an event described in the perfect aspect (John had opened the bottle) should evoke a mental representation of a finished event with focus on the resulting object, whereas an event described in the imperfective aspect (John was opening the bottle) should evoke a representation of the event as ongoing, including all stages of the event, and focusing all entities relevant to the ongoing action (instruments, objects, agents, locations, etc.). To test this idea, participants saw rebus sentences in the perfect and imperfective aspect, presented one word at a time, self-paced. In each sentence, the instrument and the recipient of the action were replaced by pictures (John was using/had used a *corkscrew* to open the *bottle* at the restaurant). Time to process the two images as well as speed and accuracy on sensibility judgments were measured. Although experimental sentences always made sense, half of the object and instrument pictures did not match the temporal constraints of the verb. For instance, in perfect sentences aspect-congruent trials presented an image of the corkscrew closed (no longer in-use) and the wine bottle fully open. The aspect-incongruent yet still sensible versions either replaced the corkscrew with an in-use corkscrew (open, in-hand) or the bottle image with a half-opened bottle. In this case, the participant would still respond “yes”, but with longer expected response times. A three-way interaction among Verb Aspect, Sentence Role, and Temporal Match on image processing times showed that participants were faster to process images that matched rather than mismatched the aspect of the verb, especially for resulting objects in perfect sentences. A second experiment replicated and extended the results to confirm that this was not due to the placement of the object in the sentence. These two experiments extend previous research, showing how verb aspect drives not only the temporal structure of event representation, but also the focus on specific roles of the event. More generally, the findings of visual match during online sentence-picture processing are consistent with theories of perceptual simulation. PMID:29287091

Emergency preparedness for power outages and wi-fi loss: tips for students and educators of online courses.

PubMed

Heithaus, Teresa

2015-01-01

Severe weather can impact online education due to a loss of power and Internet access that can last hours or weeks. Planning for such losses is essential to enable participation in the online classroom. This article discusses measures that can be used to maintain an online presence in the event of a power outage or loss of Wi-Fi. Copyright 2015, SLACK Incorporated.

Network hydraulics inclusion in water quality event detection using multiple sensor stations data.

PubMed

Oliker, Nurit; Ostfeld, Avi

2015-09-01

Event detection is one of the current most challenging topics in water distribution systems analysis: how regular on-line hydraulic (e.g., pressure, flow) and water quality (e.g., pH, residual chlorine, turbidity) measurements at different network locations can be efficiently utilized to detect water quality contamination events. This study describes an integrated event detection model which combines multiple sensor stations data with network hydraulics. To date event detection modelling is likely limited to single sensor station location and dataset. Single sensor station models are detached from network hydraulics insights and as a result might be significantly exposed to false positive alarms. This work is aimed at decreasing this limitation through integrating local and spatial hydraulic data understanding into an event detection model. The spatial analysis complements the local event detection effort through discovering events with lower signatures by exploring the sensors mutual hydraulic influences. The unique contribution of this study is in incorporating hydraulic simulation information into the overall event detection process of spatially distributed sensors. The methodology is demonstrated on two example applications using base runs and sensitivity analyses. Results show a clear advantage of the suggested model over single-sensor event detection schemes. Copyright © 2015 Elsevier Ltd. All rights reserved.

Experimental Modeling of the Impulse Diffraction System with a "White" SR Beam

NASA Astrophysics Data System (ADS)

Fedotov, M. G.; Aleshaev, A. N.

Some matrix detectors (CCD and CIS) have direct X-ray sensitivity and can operate as dispersionless spectrometers with a very large number of elements (106 and more). In the case of the impulse diffraction such detector can simultaneously record a significant number of independent events. In the reading the position and energy of the absorbed X-ray photon may be restored for each event. The mathematical processing of the received data with respect to the Bragg condition can theoretically lead to the coordinates of the events of one fixed energy and to form an analogue of powder diffraction patterns. In this case the registration can be performed on the "white" SR beam for a short time (up to 1 ns or less). The possibility of using of the 2000-element linear CCD ILX511 (Sony) as X-ray dispersionless spectrometer allowed to conduct simulation experiments to obtain diffraction patterns of graphite, boron nitride, boric acid and TNT-hexogen solid detonation products. SR beam from VEPP-3 storage ring was modulated by a mechanical chopper and statistics were provided by a multiple recording with on-line processing.

Strong-motion data from the two Pingtung, Taiwan, earthquakes of 26 December 2006

USGS Publications Warehouse

Wu, C.-F.; Lee, W.H.K.; Boore, D.M.

2008-01-01

1016 strong-motion records at 527 free-field stations and 131 records at 42 strong-motion arrays at buildings and bridges were obtained for the Pingtung earthquake doublet from the Taiwan Central Weather Bureau's dense, digital strong-motion network. We carried out standard processing of these strong-motion records at free-field stations. A data set, including the originally recorded files, processed data files, and supporting software and information, is archived online http:// tecdc.earth.sinica.edu.tw/data/EQ2006Pingtung/. We have not yet completed the processing of the strong-motion array data at buildings and bridges. However, some preliminary results and the strong-motion array data recorded at the second nearest instrumented building to the Pingtung earthquake doublet are shown. This paper is intended to document our data processing procedures and the online archived data files, so that researchers can efficiently use the data. We also include two preliminary analyses: (1) a comparison of ground motions recorded by multiple accelerographs at a common site, the TAP 117 station in Taipei, and (2) attenuation of the horizontal ground motions (peak acceleration and response spectra at periods of 0.2, 1.0, and 3.0 s) with respect to distance. Our comparison study of multiple recordings at TAP 117 indicates that waveform coherence among 20- and 24-bit accelerograph records is much higher as compared to records from 16-bit or 12-bit accelerographs, suggesting that the former are of better quality. For the 20- and 24-bit accelerographs, waveform coherence is nearly 1 over the frequency range 1 to 8 Hz for all components, and is greater than about 0.9 from 8 to 20 Hz for the horizontal component, but only from 8 to 12 Hz for the vertical component. Plots of pseudo-acceleration response spectra (PSA) as a function of distance, however, show no clear indication for a difference related to the performance level of the accelerographs. The ground-motions of the first event (Mw = 7.0) are comparable, or even somewhat lower, than those from the smaller second event (Mw = 6.9), consistent with the relative difference of the local magnitudes (ML = 6.96 and 6.99 for the first and second events, respectively). The ground motions from the first event are generally lower than those predicted from equations based on other in-slab subduction earthquakes, whereas the ground motions from the second event are closer to the predictions. Ground-motions for soil sites are generally larger than those from rock sites.

Jewish History Engagement in an Online Simulation: Golda and Coco, Leah and Lou at the Jewish Court of All Time

ERIC Educational Resources Information Center

Katz, Meredith L.; Kress, Jeffrey S.

2018-01-01

This study investigates the Jewish history engagement for middle school students "playing" in the Jewish Court of All Time (JCAT), an online simulation of a current events court case with historical roots (http://jcat.icsmich.org). Through an online platform across several schools, students research and play historical and current…

Use of Unstructured Event-Based Reports for Global Infectious Disease Surveillance

PubMed Central

Blench, Michael; Tolentino, Herman; Freifeld, Clark C.; Mandl, Kenneth D.; Mawudeku, Abla; Eysenbach, Gunther; Brownstein, John S.

2009-01-01

Free or low-cost sources of unstructured information, such as Internet news and online discussion sites, provide detailed local and near real-time data on disease outbreaks, even in countries that lack traditional public health surveillance. To improve public health surveillance and, ultimately, interventions, we examined 3 primary systems that process event-based outbreak information: Global Public Health Intelligence Network, HealthMap, and EpiSPIDER. Despite similarities among them, these systems are highly complementary because they monitor different data types, rely on varying levels of automation and human analysis, and distribute distinct information. Future development should focus on linking these systems more closely to public health practitioners in the field and establishing collaborative networks for alert verification and dissemination. Such development would further establish event-based monitoring as an invaluable public health resource that provides critical context and an alternative to traditional indicator-based outbreak reporting. PMID:19402953

Role of Stressful Life Events, Avoidant Coping Styles, and Neuroticism in Online Game Addiction among College Students: A Moderated Mediation Model.

PubMed

Li, Huanhuan; Zou, Yingmin; Wang, Jiaqi; Yang, Xuelin

2016-01-01

Online game addiction (OGA) is becoming a significant problem worldwide. The aim of this study was to explore the incidence of OGA and the roles of stressful life events, avoidant coping styles (ACSs), and neuroticism in OGA. A total of 651 Chinese college students were selected by random cluster sampling. Subjects completed the Chinese version of Young's eight-item Internet Addiction Scale (CIAS), Online Game Cognition Addiction Scale (OGCAS), Revised Eysenck Personality Questionnaire Short Scale in Chinese (EPQ-RSC), Chinese College-student Stress Questionnaire, and Coping Style Questionnaire. Structural equation modeling (SEM) was used to explore the interactive effects of stressful life events, ACSs, and neuroticism on OGA. Of the 651 participants in the sample, 31 (4.8%) were identified as addicts. The incidence of OGA was two times higher for males than females. The addicts had markedly higher scores on the neuroticism subscale of the EPQ-RSC than non-addicts. Compared to non-addicts, addicts were more apt to use ACSs. Having an avoidant coping strategy mediated the effect of stressful life events on OGA. Furthermore, neuroticism moderated the indirect effect of stressful life events on OGA via ACSs. Applications of these findings to etiological research and clinical treatment programs are discussed.

Role of Stressful Life Events, Avoidant Coping Styles, and Neuroticism in Online Game Addiction among College Students: A Moderated Mediation Model

PubMed Central

Li, Huanhuan; Zou, Yingmin; Wang, Jiaqi; Yang, Xuelin

2016-01-01

Online game addiction (OGA) is becoming a significant problem worldwide. The aim of this study was to explore the incidence of OGA and the roles of stressful life events, avoidant coping styles (ACSs), and neuroticism in OGA. A total of 651 Chinese college students were selected by random cluster sampling. Subjects completed the Chinese version of Young’s eight-item Internet Addiction Scale (CIAS), Online Game Cognition Addiction Scale (OGCAS), Revised Eysenck Personality Questionnaire Short Scale in Chinese (EPQ-RSC), Chinese College-student Stress Questionnaire, and Coping Style Questionnaire. Structural equation modeling (SEM) was used to explore the interactive effects of stressful life events, ACSs, and neuroticism on OGA. Of the 651 participants in the sample, 31 (4.8%) were identified as addicts. The incidence of OGA was two times higher for males than females. The addicts had markedly higher scores on the neuroticism subscale of the EPQ-RSC than non-addicts. Compared to non-addicts, addicts were more apt to use ACSs. Having an avoidant coping strategy mediated the effect of stressful life events on OGA. Furthermore, neuroticism moderated the indirect effect of stressful life events on OGA via ACSs. Applications of these findings to etiological research and clinical treatment programs are discussed. PMID:27920734

The role of spatial selective attention in working memory for locations: evidence from event-related potentials.

PubMed

Awh, E; Anllo-Vento, L; Hillyard, S A

2000-09-01

We investigated the hypothesis that the covert focusing of spatial attention mediates the on-line maintenance of location information in spatial working memory. During the delay period of a spatial working-memory task, behaviorally irrelevant probe stimuli were flashed at both memorized and nonmemorized locations. Multichannel recordings of event-related potentials (ERPs) were used to assess visual processing of the probes at the different locations. Consistent with the hypothesis of attention-based rehearsal, early ERP components were enlarged in response to probes that appeared at memorized locations. These visual modulations were similar in latency and topography to those observed after explicit manipulations of spatial selective attention in a parallel experimental condition that employed an identical stimulus display.

Traumatic Events among Undergraduate Students: Prevalence and Associated Symptoms

ERIC Educational Resources Information Center

Frazier, Patricia; Anders, Samantha; Perera, Sulani; Tennen, Howard; Tashiro, Ty; Park, Crystal; Tomich, Patricia

2009-01-01

This multisite study assessed the prevalence of exposure to traumatic events and associated symptoms among undergraduate students (N = 1,528) using online surveys. Most students (85%) reported having experienced a traumatic event in their lifetime (Time 1) and 21% reported experiencing an event over a 2-month period during college (Time 2). The…

Exploiting social media for Army operations: Syrian crisis use case

NASA Astrophysics Data System (ADS)

Kase, Sue E.; Bowman, Elizabeth K.; Al Amin, Tanvir; Abdelzaher, Tarek

2014-05-01

Millions of people exchange user-generated information through online social media (SM) services. The prevalence of SM use globally and its growing significance to the evolution of events has attracted the attention of the Army and other agencies charged with protecting national security interests. The information exchanged in SM sites and the networks of people who interact with these online communities can provide value to Army intelligence efforts. SM could facilitate the Military Decision Making Process by providing ongoing assessment of military actions from a local citizen perspective. Despite potential value, there are significant technological barriers to leveraging SM. SM collection and analysis are difficult in the dynamic SM environment and deception is a real concern. This paper introduces a credibility analysis approach and prototype fact-finding technology called the "Apollo Fact-finder" that mitigates the problem of inaccurate or falsified SM data. Apollo groups data into sets (or claims), corroborating specific observations, then iteratively assesses both claim and source credibility resulting in a ranking of claims by likelihood of occurrence. These credibility analysis approaches are discussed in the context of a conflict event, the Syrian civil war, and applied to tweets collected in the aftermath of the Syrian chemical weapons crisis.

Hilbert-Huang Spectrum as a new field for the identification of EEG event related de-/synchronization for BCI applications.

PubMed

Panoulas, Konstantinos I; Hadjileontiadis, Leontios J; Panas, Stavros M

2008-01-01

Brain Computer Interfaces (BCI) usually utilize the suppression of mu-rhythm during actual or imagined motor activity. In order to create a BCI system, a signal processing method is required to extract features upon which the discrimination is based. In this article, the Empirical Mode Decomposition along with the Hilbert-Huang Spectrum (HHS) is found to contain the necessary information to be considered as an input to a discriminator. Also, since the HHS defines amplitude and instantaneous frequency for each sample, it can be used for an online BCI system. Experimental results when the HHS applied to EEG signals from an on-line database (BCI Competition III) show the potentiality of the proposed analysis to capture the imagined motor activity, contributing to a more enhanced BCI performance.

Multibeam Gpu Transient Pipeline for the Medicina BEST-2 Array

NASA Astrophysics Data System (ADS)

Magro, A.; Hickish, J.; Adami, K. Z.

2013-09-01

Radio transient discovery using next generation radio telescopes will pose several digital signal processing and data transfer challenges, requiring specialized high-performance backends. Several accelerator technologies are being considered as prototyping platforms, including Graphics Processing Units (GPUs). In this paper we present a real-time pipeline prototype capable of processing multiple beams concurrently, performing Radio Frequency Interference (RFI) rejection through thresholding, correcting for the delay in signal arrival times across the frequency band using brute-force dedispersion, event detection and clustering, and finally candidate filtering, with the capability of persisting data buffers containing interesting signals to disk. This setup was deployed at the BEST-2 SKA pathfinder in Medicina, Italy, where several benchmarks and test observations of astrophysical transients were conducted. These tests show that on the deployed hardware eight 20 MHz beams can be processed simultaneously for 640 Dispersion Measure (DM) values. Furthermore, the clustering and candidate filtering algorithms employed prove to be good candidates for online event detection techniques. The number of beams which can be processed increases proportionally to the number of servers deployed and number of GPUs, making it a viable architecture for current and future radio telescopes.

Exploring Evolving Media Discourse Through Event Cueing.

PubMed

Lu, Yafeng; Steptoe, Michael; Burke, Sarah; Wang, Hong; Tsai, Jiun-Yi; Davulcu, Hasan; Montgomery, Douglas; Corman, Steven R; Maciejewski, Ross

2016-01-01

Online news, microblogs and other media documents all contain valuable insight regarding events and responses to events. Underlying these documents is the concept of framing, a process in which communicators act (consciously or unconsciously) to construct a point of view that encourages facts to be interpreted by others in a particular manner. As media discourse evolves, how topics and documents are framed can undergo change, shifting the discussion to different viewpoints or rhetoric. What causes these shifts can be difficult to determine directly; however, by linking secondary datasets and enabling visual exploration, we can enhance the hypothesis generation process. In this paper, we present a visual analytics framework for event cueing using media data. As discourse develops over time, our framework applies a time series intervention model which tests to see if the level of framing is different before or after a given date. If the model indicates that the times before and after are statistically significantly different, this cues an analyst to explore related datasets to help enhance their understanding of what (if any) events may have triggered these changes in discourse. Our framework consists of entity extraction and sentiment analysis as lenses for data exploration and uses two different models for intervention analysis. To demonstrate the usage of our framework, we present a case study on exploring potential relationships between climate change framing and conflicts in Africa.

Betting patterns for sports and races: a longitudinal analysis of online wagering in Australia.

PubMed

Gainsbury, Sally M; Russell, Alex

2015-03-01

Online wagering is increasing in popularity as it is easily accessible through websites which market these services widely. However, few studies have examined online betting based on actual behavioural data. This paper describes the results of an analysis of 2,522,299 bets placed with an Australian online wagering operator over a 1-year period. The majority of bets placed were for a win (45.31 %) and were placed on races (86.74 %) or sports (11.29 %). Sports betting was dominated by ball sports, reflecting popular interest in these events. More than three-quarters (77.63 %) of the bets were losses and there was large variation in bet size between bet types and events bet on although average bets were higher than in previously reported studies. The most popular bets placed to win, had a relatively high rate of losses and lowest average returns, which may reflect less sophisticated betting behaviour. More specific handicap and total bets were placed by fewer customers, but were larger bets with the greatest returns. Similarly, bets placed on less popular sporting events had greater average returns potentially reflecting greater customer sophistication and knowledge raising the possibility of a proportion of bettors being more 'skilled'. As the first paper to analyze the types of bets placed on events and outcomes the results support the notion that wagering is an entertainment activity, and the majority of customers are motivated by factors other than simply winning money.

Synchronous Symmetrical Support: A Naturalistic Study of Live Online Peer-to-Peer Learning via Software Videoconferencing

ERIC Educational Resources Information Center

Scott, Peter; Castaneda, Linda; Quick, Kevin; Linney, Jon

2009-01-01

This paper reports on a naturalistic study of peer-to-peer learning, in a live, online video meeting context. Over a six-month period a group of international students of animation attended 99 live, online "study group" events amounting to around 120 hours of live "broadcast meeting time". Some meetings were very large, with up to 34 participants,…

Post Your Digital Photos Online: Save Hard-Drive Space and Share Your Snapshots

ERIC Educational Resources Information Center

Branzburg, Jeffrey

2005-01-01

Digital photographs can take up a lot of hard-drive space. In light of this fact, many people are choosing to store their photos online. There are several ways to store pictures on the Web, the most popular being online photo storage services. These services have many benefits. They offer a safe place for photos in the event that one's computer…

AN EVENT-LEVEL ANALYSIS OF THE INTERPERSONAL FACTORS ASSOCIATED WITH CONDOMLESS ANAL SEX AMONG GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN (MSM) WITH ONLINE-MET PARTNERS

PubMed Central

Card, Kiffer G.; Lachowsky, Nathan J.; Cui, Zishan; Shurgold, Susan; Armstrong, Heather L.; Rich, Ashleigh J.; Forrest, Jamie I.; Gislason, Maya; Moore, David M.; Roth, Eric A.; Hogg, Robert S.

2017-01-01

The interpersonal determinants of condomless anal sex (CAS) within online-initiated sexual relationships remain poorly understood. Therefore, respondent-driven sampling was used to recruit a prospective cohort of sexually active gay, bisexual, and other men who have sex with men (MSM), aged ≥ 16 years in Vancouver, Canada. Follow-up occurred every 6 months, up to seven visits; at each visit participants reported their last sexual encounter with their five most recent partners. Stratified by self-reported HIV status, individual-level, interpersonal, and situational covariates of event-level CAS with partners met online were modeled using generalized estimating equations (GEE). CAS was reported during 32.4% (n = 1,015/3,133) of HIV-negative/unknown men’s events, and 62.1% (n = 576/928) of HIV-positive men’s events. Social (i.e., collective identity, altruism, network size, social embeddedness) and situational (i.e., number of encounters, location, comparative age, seroconcordance, substance use) factors were identified as important correlates of CAS. Implications include the need for HIV prevention addressing social contexts associated with CAS. PMID:28467159

Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph Model.

PubMed

Liu, Xueliang; Wang, Meng; Yin, Bao-Cai; Huet, Benoit; Li, Xuelong

2015-11-01

Nowadays, with the continual development of digital capture technologies and social media services, a vast number of media documents are captured and shared online to help attendees record their experience during events. In this paper, we present a method combining semantic inference and multimodal analysis for automatically finding media content to illustrate events using an adaptive probabilistic hypergraph model. In this model, media items are taken as vertices in the weighted hypergraph and the task of enriching media to illustrate events is formulated as a ranking problem. In our method, each hyperedge is constructed using the K-nearest neighbors of a given media document. We also employ a probabilistic representation, which assigns each vertex to a hyperedge in a probabilistic way, to further exploit the correlation among media data. Furthermore, we optimize the hypergraph weights in a regularization framework, which is solved as a second-order cone problem. The approach is initiated by seed media and then used to rank the media documents using a transductive inference process. The results obtained from validating the approach on an event dataset collected from EventMedia demonstrate the effectiveness of the proposed approach.

A new method for assessing the impact of medial temporal lobe amnesia on the characteristics of generated autobiographical events.

PubMed

Lenton-Brym, Ariella; Kurczek, Jake; Rosenbaum, R Shayna; Sheldon, Signy

2016-05-01

Constructing autobiographical events involves an initial phase of event selection, in which a memory or imagined future event is initially brought to mind, followed by a phase of elaboration, in which an individual accesses detailed knowledge specific to the event. While considerable research demonstrates the importance of the medial temporal lobes (MTL) in the later phase, its role in initial event selection is unknown. The present study is the first to investigate the role of the MTL in event selection by assessing whether individuals with MTL lesions select qualitatively different events for remembering and imagining than matched control participants. To do so, we created "event captions" that reflected the type of events selected for an autobiographical event narrative task by four individuals with MTL amnesia and control counterparts. Over 450 online raters assessed these event captions on qualitative dimensions known to vary with autobiographical recall (frequency, significance, emotionality, imageability, and uniqueness). Our critical finding was that individuals with MTL amnesia were more prone to select events that were rated as more frequently occurring than healthy control participants. We interpret this finding as evidence that people with impaired episodic memory from MTL damage compensate for their compromised ability to recall detailed information by relying more heavily on semantic memory processes to select generalized events. We discuss the implications for theoretical models of memory and methodological approaches to studying autobiographical memory. Copyright © 2016 Elsevier Ltd. All rights reserved.

Predicting Key Events in the Popularity Evolution of Online Information.

PubMed

Hu, Ying; Hu, Changjun; Fu, Shushen; Fang, Mingzhe; Xu, Wenwen

2017-01-01

The popularity of online information generally experiences a rising and falling evolution. This paper considers the "burst", "peak", and "fade" key events together as a representative summary of popularity evolution. We propose a novel prediction task-predicting when popularity undergoes these key events. It is of great importance to know when these three key events occur, because doing so helps recommendation systems, online marketing, and containment of rumors. However, it is very challenging to solve this new prediction task due to two issues. First, popularity evolution has high variation and can follow various patterns, so how can we identify "burst", "peak", and "fade" in different patterns of popularity evolution? Second, these events usually occur in a very short time, so how can we accurately yet promptly predict them? In this paper we address these two issues. To handle the first one, we use a simple moving average to smooth variation, and then a universal method is presented for different patterns to identify the key events in popularity evolution. To deal with the second one, we extract different types of features that may have an impact on the key events, and then a correlation analysis is conducted in the feature selection step to remove irrelevant and redundant features. The remaining features are used to train a machine learning model. The feature selection step improves prediction accuracy, and in order to emphasize prediction promptness, we design a new evaluation metric which considers both accuracy and promptness to evaluate our prediction task. Experimental and comparative results show the superiority of our prediction solution.

Predicting Key Events in the Popularity Evolution of Online Information

PubMed Central

Fu, Shushen; Fang, Mingzhe; Xu, Wenwen

2017-01-01

The popularity of online information generally experiences a rising and falling evolution. This paper considers the “burst”, “peak”, and “fade” key events together as a representative summary of popularity evolution. We propose a novel prediction task—predicting when popularity undergoes these key events. It is of great importance to know when these three key events occur, because doing so helps recommendation systems, online marketing, and containment of rumors. However, it is very challenging to solve this new prediction task due to two issues. First, popularity evolution has high variation and can follow various patterns, so how can we identify “burst”, “peak”, and “fade” in different patterns of popularity evolution? Second, these events usually occur in a very short time, so how can we accurately yet promptly predict them? In this paper we address these two issues. To handle the first one, we use a simple moving average to smooth variation, and then a universal method is presented for different patterns to identify the key events in popularity evolution. To deal with the second one, we extract different types of features that may have an impact on the key events, and then a correlation analysis is conducted in the feature selection step to remove irrelevant and redundant features. The remaining features are used to train a machine learning model. The feature selection step improves prediction accuracy, and in order to emphasize prediction promptness, we design a new evaluation metric which considers both accuracy and promptness to evaluate our prediction task. Experimental and comparative results show the superiority of our prediction solution. PMID:28046121

Online Toxicity Monitors (OTM) for Distribution System Water Quality Monitoring

EPA Science Inventory

Drinking water distribution systems in the U.S. are vulnerable to episodic contamination events (both unintentional and intentional). The U.S. Environmental Protection Agency (EPA) is conducting research to investigate the use of broad-spectrum online toxicity monitors (OTMs) in ...

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MedlinePlus

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Agricultural Sciences :: Calendar

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Single Versus Multiple Events Error Potential Detection in a BCI-Controlled Car Game With Continuous and Discrete Feedback.

PubMed

Kreilinger, Alex; Hiebel, Hannah; Müller-Putz, Gernot R

2016-03-01

This work aimed to find and evaluate a new method for detecting errors in continuous brain-computer interface (BCI) applications. Instead of classifying errors on a single-trial basis, the new method was based on multiple events (MEs) analysis to increase the accuracy of error detection. In a BCI-driven car game, based on motor imagery (MI), discrete events were triggered whenever subjects collided with coins and/or barriers. Coins counted as correct events, whereas barriers were errors. This new method, termed ME method, combined and averaged the classification results of single events (SEs) and determined the correctness of MI trials, which consisted of event sequences instead of SEs. The benefit of this method was evaluated in an offline simulation. In an online experiment, the new method was used to detect erroneous MI trials. Such MI trials were discarded and could be repeated by the users. We found that, even with low SE error potential (ErrP) detection rates, feasible accuracies can be achieved when combining MEs to distinguish erroneous from correct MI trials. Online, all subjects reached higher scores with error detection than without, at the cost of longer times needed for completing the game. Findings suggest that ErrP detection may become a reliable tool for monitoring continuous states in BCI applications when combining MEs. This paper demonstrates a novel technique for detecting errors in online continuous BCI applications, which yields promising results even with low single-trial detection rates.

Event processing in the visual world: Projected motion paths during spoken sentence comprehension.

PubMed

Kamide, Yuki; Lindsay, Shane; Scheepers, Christoph; Kukona, Anuenue

2016-05-01

Motion events in language describe the movement of an entity to another location along a path. In 2 eye-tracking experiments, we found that comprehension of motion events involves the online construction of a spatial mental model that integrates language with the visual world. In Experiment 1, participants listened to sentences describing the movement of an agent to a goal while viewing visual scenes depicting the agent, goal, and empty space in between. Crucially, verbs suggested either upward (e.g., jump) or downward (e.g., crawl) paths. We found that in the rare event of fixating the empty space between the agent and goal, visual attention was biased upward or downward in line with the verb. In Experiment 2, visual scenes depicted a central obstruction, which imposed further constraints on the paths and increased the likelihood of fixating the empty space between the agent and goal. The results from this experiment corroborated and refined the previous findings. Specifically, eye-movement effects started immediately after hearing the verb and were in line with data from an additional mouse-tracking task that encouraged a more explicit spatial reenactment of the motion event. In revealing how event comprehension operates in the visual world, these findings suggest a mental simulation process whereby spatial details of motion events are mapped onto the world through visual attention. The strength and detectability of such effects in overt eye-movements is constrained by the visual world and the fact that perceivers rarely fixate regions of empty space. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

A system and method for online high-resolution mapping of gastric slow-wave activity.

PubMed

Bull, Simon H; O'Grady, Gregory; Du, Peng; Cheng, Leo K

2014-11-01

High-resolution (HR) mapping employs multielectrode arrays to achieve spatially detailed analyses of propagating bioelectrical events. A major current limitation is that spatial analyses must currently be performed "off-line" (after experiments), compromising timely recording feedback and restricting experimental interventions. These problems motivated development of a system and method for "online" HR mapping. HR gastric recordings were acquired and streamed to a novel software client. Algorithms were devised to filter data, identify slow-wave events, eliminate corrupt channels, and cluster activation events. A graphical user interface animated data and plotted electrograms and maps. Results were compared against off-line methods. The online system analyzed 256-channel serosal recordings with no unexpected system terminations with a mean delay 18 s. Activation time marking sensitivity was 0.92; positive predictive value was 0.93. Abnormal slow-wave patterns including conduction blocks, ectopic pacemaking, and colliding wave fronts were reliably identified. Compared to traditional analysis methods, online mapping had comparable results with equivalent coverage of 90% of electrodes, average RMS errors of less than 1 s, and CC of activation maps of 0.99. Accurate slow-wave mapping was achieved in near real-time, enabling monitoring of recording quality and experimental interventions targeted to dysrhythmic onset. This work also advances the translation of HR mapping toward real-time clinical application.

Who do you love, your mother or your horse? An event-related brain potential analysis of tone processing in Mandarin Chinese.

PubMed

Brown-Schmidt, Sarah; Canseco-Gonzalez, Enriqueta

2004-03-01

In Mandarin Chinese, word meaning is partially determined by lexical tone (Wang, 1973). Previous studies suggest that lexical tone is processed as linguistic information and not as pure tonal information (Gandour, 1998; Van Lanker & Fromkin, 1973). The current study explored the online processing of lexical tones. Event-related potentials were obtained from 25 Mandarin speakers while they listened to normal and anomalous sentences containing one of three types of semantic anomalies created by manipulating the tone, the syllable, or both tone and syllable (double-anomaly) of sentence-final words. We hypothesized N400 effects elicited by all three types of anomalies and the largest by the double-anomaly. As expected, all three elicited N400 effects starting approximately 150 ms poststimulus and continuing until 1000 ms in some areas. Surprisingly, onset of the double-anomaly effect was approximately 50 ms later than the rest. Delayed detection of errors in this condition may be responsible for the apparent delay. Slight differences between syllable and tone conditions may be due to the relative timing of these acoustic cues.

Microgravity

NASA Image and Video Library

2001-05-02

Suzarne Nichols (12th grade) from DuPont Manual High School in Louisville, Kentucky, asks a question of on of the on-line lecturers during the Pan-Pacific Basin Workshop on Microgravity Sciences held in Pasadena, California. The event originated at the California Science Center in Los Angeles. The DuPont Manual students patched in to the event through the distance learning lab at the Louisville Science Center. NASA materials engineer Chris Cochrane prepare students for the on-line workshop helps two students prepare a drop demonstration. This image is from a digital still camera; higher resolution is not available.

Epidemiological Evaluation of Notifications of Environmental Events in the State of São Paulo, Brazil

PubMed Central

Nery, Telma de Cassia dos Santos; Christensen, Rogerio Araujo; Pereira, Farida; Leite, Andre Pereira

2014-01-01

Increasing urbanization across the globe, combined with an increased use of chemicals in various regions, contributes to several environmental events that influence environmental health. Measures that identify environmental factors and events should be introduced to facilitate epidemiological investigations by health services. The Brazilian Ministry of Health published a new list of notifiable diseases on 25 January 2011 and introduced environmental events as a new category of notifiable occurrences. The Center for Epidemiologic Surveillance in State of Sao Paulo, Brazil, created an online notification system that highlights “environmental events”, such as exposure to chemical contaminants, drinking water with contaminants outside of the recommended range, contaminated air, and natural or anthropogenic disasters. This paper analyzed 300 notifications received between May 2011 and May 2012. It reports the number of notifications with event classifications and analyzes the events relating to accidents with chemical substances. This paper describes the characteristics of the accidents that involved chemical substances, methods used, types of substances, exposed population, and measures adopted. The online notification of environmental events increases the analysis of the main events associated with diseases related to environmental chemicals; thus, it facilitates the adoption of public policies to prevent environmental health problems. PMID:25050657

High-speed extended-term time-domain simulation for online cascading analysis of power system

NASA Astrophysics Data System (ADS)

Fu, Chuan

A high-speed extended-term (HSET) time domain simulator (TDS), intended to become a part of an energy management system (EMS), has been newly developed for use in online extended-term dynamic cascading analysis of power systems. HSET-TDS includes the following attributes for providing situational awareness of high-consequence events: (i) online analysis, including n-1 and n-k events, (ii) ability to simulate both fast and slow dynamics for 1-3 hours in advance, (iii) inclusion of rigorous protection-system modeling, (iv) intelligence for corrective action ID, storage, and fast retrieval, and (v) high-speed execution. Very fast on-line computational capability is the most desired attribute of this simulator. Based on the process of solving algebraic differential equations describing the dynamics of power system, HSET-TDS seeks to develop computational efficiency at each of the following hierarchical levels, (i) hardware, (ii) strategies, (iii) integration methods, (iv) nonlinear solvers, and (v) linear solver libraries. This thesis first describes the Hammer-Hollingsworth 4 (HH4) implicit integration method. Like the trapezoidal rule, HH4 is symmetrically A-Stable but it possesses greater high-order precision (h4 ) than the trapezoidal rule. Such precision enables larger integration steps and therefore improves simulation efficiency for variable step size implementations. This thesis provides the underlying theory on which we advocate use of HH4 over other numerical integration methods for power system time-domain simulation. Second, motivated by the need to perform high speed extended-term time domain simulation (HSET-TDS) for on-line purposes, this thesis presents principles for designing numerical solvers of differential algebraic systems associated with power system time-domain simulation, including DAE construction strategies (Direct Solution Method), integration methods(HH4), nonlinear solvers(Very Dishonest Newton), and linear solvers(SuperLU). We have implemented a design appropriate for HSET-TDS, and we compare it to various solvers, including the commercial grade PSSE program, with respect to computational efficiency and accuracy, using as examples the New England 39 bus system, the expanded 8775 bus system, and PJM 13029 buses system. Third, we have explored a stiffness-decoupling method, intended to be part of parallel design of time domain simulation software for super computers. The stiffness-decoupling method is able to combine the advantages of implicit methods (A-stability) and explicit method(less computation). With the new stiffness detection method proposed herein, the stiffness can be captured. The expanded 975 buses system is used to test simulation efficiency. Finally, several parallel strategies for super computer deployment to simulate power system dynamics are proposed and compared. Design A partitions the task via scale with the stiffness decoupling method, waveform relaxation, and parallel linear solver. Design B partitions the task via the time axis using a highly precise integration method, the Kuntzmann-Butcher Method - order 8 (KB8). The strategy of partitioning events is designed to partition the whole simulation via the time axis through a simulated sequence of cascading events. For all strategies proposed, a strategy of partitioning cascading events is recommended, since the sub-tasks for each processor are totally independent, and therefore minimum communication time is needed.

Case study of dust event sources from the Gobi and Taklamakan deserts: An investigation of the horizontal evolution and topographical effect using numerical modeling and remote sensing.

PubMed

Fan, Jin; Yue, Xiaoying; Sun, Qinghua; Wang, Shigong

2017-06-01

A severe dust event occurred from April 23 to April 27, 2014, in East Asia. A state-of-the-art online atmospheric chemistry model, WRF/Chem, was combined with a dust model, GOCART, to better understand the entire process of this event. The natural color images and aerosol optical depth (AOD) over the dust source region are derived from datasets of moderate resolution imaging spectroradiometer (MODIS) loaded on a NASA Aqua satellite to trace the dust variation and to verify the model results. Several meteorological conditions, such as pressure, temperature, wind vectors and relative humidity, are used to analyze meteorological dynamic. The results suggest that the dust emission occurred only on April 23 and 24, although this event lasted for 5days. The Gobi Desert was the main source for this event, and the Taklamakan Desert played no important role. This study also suggested that the landform of the source region could remarkably interfere with a dust event. The Tarim Basin has a topographical effect as a "dust reservoir" and can store unsettled dust, which can be released again as a second source, making a dust event longer and heavier. Copyright © 2016. Published by Elsevier B.V.

[Applying healthcare failure mode and effect analysis to improve the surgical specimen transportation process and rejection rate].

PubMed

Hu, Pao-Hsueh; Hu, Hsiao-Chen; Huang, Hui-Ju; Chao, Hui-Lin; Lei, Ei-Fang

2014-04-01

Because surgical pathology specimens are crucial to the diagnosis and treatment of disease, it is critical that they be collected and transported safely and securely. Due to recent near-miss events in our department, we used the healthcare failure model and effect analysis to identify 14 potential perils in the specimen collection and transportation process. Improvement and prevention strategies were developed accordingly to improve quality of care. Using health care failure mode and effect analysis (HFMEA) may improve the surgical specimen transportation process and reduce the rate of surgical specimen rejection. Rectify standard operating procedures for surgical pathology specimen collection and transportation. Create educational videos and posters. Rectify methods of specimen verification. Organize and create an online and instantaneous management system for specimen tracking and specimen rejection. Implementation of the new surgical specimen transportation process effectively eliminated the 14 identified potential perils. In addition, the specimen rejection fell from 0.86% to 0.03%. This project was applied to improve the specimen transportation process, enhance interdisciplinary cooperation, and improve the patient-centered healthcare system. The creation and implementation of an online information system significantly facilitates specimen tracking, hospital cost reductions, and patient safety improvements. The success in our department is currently being replicated across all departments in our hospital that transport specimens. Our experience and strategy may be applied to inter-hospital specimen transportation in the future.

Feature Acquisition with Imbalanced Training Data

NASA Technical Reports Server (NTRS)

Thompson, David R.; Wagstaff, Kiri L.; Majid, Walid A.; Jones, Dayton L.

2011-01-01

This work considers cost-sensitive feature acquisition that attempts to classify a candidate datapoint from incomplete information. In this task, an agent acquires features of the datapoint using one or more costly diagnostic tests, and eventually ascribes a classification label. A cost function describes both the penalties for feature acquisition, as well as misclassification errors. A common solution is a Cost Sensitive Decision Tree (CSDT), a branching sequence of tests with features acquired at interior decision points and class assignment at the leaves. CSDT's can incorporate a wide range of diagnostic tests and can reflect arbitrary cost structures. They are particularly useful for online applications due to their low computational overhead. In this innovation, CSDT's are applied to cost-sensitive feature acquisition where the goal is to recognize very rare or unique phenomena in real time. Example applications from this domain include four areas. In stream processing, one seeks unique events in a real time data stream that is too large to store. In fault protection, a system must adapt quickly to react to anticipated errors by triggering repair activities or follow- up diagnostics. With real-time sensor networks, one seeks to classify unique, new events as they occur. With observational sciences, a new generation of instrumentation seeks unique events through online analysis of large observational datasets. This work presents a solution based on transfer learning principles that permits principled CSDT learning while exploiting any prior knowledge of the designer to correct both between-class and withinclass imbalance. Training examples are adaptively reweighted based on a decomposition of the data attributes. The result is a new, nonparametric representation that matches the anticipated attribute distribution for the target events.

Memory availability and referential access

PubMed Central

Johns, Clinton L.; Gordon, Peter C.; Long, Debra L.; Swaab, Tamara Y.

2013-01-01

Most theories of coreference specify linguistic factors that modulate antecedent accessibility in memory; however, whether non-linguistic factors also affect coreferential access is unknown. Here we examined the impact of a non-linguistic generation task (letter transposition) on the repeated-name penalty, a processing difficulty observed when coreferential repeated names refer to syntactically prominent (and thus more accessible) antecedents. In Experiment 1, generation improved online (event-related potentials) and offline (recognition memory) accessibility of names in word lists. In Experiment 2, we manipulated generation and syntactic prominence of antecedent names in sentences; both improved online and offline accessibility, but only syntactic prominence elicited a repeated-name penalty. Our results have three important implications: first, the form of a referential expression interacts with an antecedent’s status in the discourse model during coreference; second, availability in memory and referential accessibility are separable; and finally, theories of coreference must better integrate known properties of the human memory system. PMID:24443621

Temporal patterns of scientific information-seeking on Google and Wikipedia.

PubMed

Segev, Elad; Sharon, Aviv J

2017-11-01

In response to the news coverage of scientific events and to science education, people increasingly go online to get more information. This study investigates how patterns of science and technology information-seeking on Google and Wikipedia change over time, in ways that differ between "ad hoc" terms that correspond to news coverage and "cyclic" terms that correspond to the academic period. Findings show that the science and technology activity in Google and Wikipedia was significantly associated with ad hoc and cyclic patterns. While the peak activity in Google and Wikipedia largely overlapped for ad hoc terms, it mismatched for cyclic terms. The findings indicate the importance of external cues such as news media and education, and also of the online engagement process, and particularly the crucial but different role played by Google and Wikipedia in gaining science and technology knowledge. Educators and policy makers could benefit from taking into account those different patterns.

CrossTalk: The Journal of Defense Software Engineering. Volume 20, Number 2

DTIC Science & Technology

2007-02-01

article is to show that when an organization is already doing competent project management, the effort to benchmark that capability by using CMMI is...process-improvement evolution. by Watts S . Humphrey, Dr. Michael D. Konrad, James W. Over, and William C. Peterson The ImprovAbility Model This model helps...17 23 29 3 12 16 22 30 31 D ep ar t m e n t s From the Sponsor Call For Articles Ad More Online From CrossTalk Coming Events SSTC 2007 BackTalk CMMI

Program Manager - A Bimonthly Magazine of DSMC, Volume 27, Number 2.

DTIC Science & Technology

1998-04-01

catalog. http /www.gsa.gov -------------- - Online shopping for commercial items to http ’Iwww.ndia.org I--- support government interests. Events...funds. Allows users access to GAO "Whats New in Contracting?" educational reports, FAQs. products catalog. http://www.gsa.gov Online shopping for

American Meteor Society Fireball reporting system and mobile application

NASA Astrophysics Data System (ADS)

Hankey, M.

2014-07-01

The American Meteor Society (AMS) founded in 1911 pioneered the visual study of meteors and has collected data relating to meteor observations and bright fireballs for over 100 years. In December 2010, the online fireball reporting system was upgraded to an interactive application that utilizes Google Maps and other programmatic methods to pinpoint the observer's location, azimuth and elevation values with a high degree of precision. The AMS has collected 10s of 1000s of witness reports relating to 100s of events each year since the new application was released. Three dimensional triangulation methods that average the data collected from witnesses have been developed that can determine the start and end points of the meteor with an accuracy of <50 km (when compared to published solutions provided by operators of all sky cameras). RA and DEC radiant estimates can also be computed for all significant events reported to the AMS. With the release of the mobile application, the AMS is able to collect more precise elevation angles than through the web application. Users can file a new report directly on the phone or update the values submitted through a web report. After web users complete their fireball report online, they are prompted to download the app and update their observation with the more precise data provided by the sensors in the mobile device. The mobile app also provides an accurate means for the witness to report the elapsed time of the fireball. To log this value, the user drags the device across the sky where they saw the fireball. This process is designed to require no button click or user interaction to start and stop the time recording. A count down initiates the process and once the user's phone crosses the plane of azimuth for the end point of the fireball the velocity timer automatically stops. Users are asked to log the recording three times in an effort to minimize error. The three values are then averaged into a final score. Once enough witnesses have filed reports, elapsed time data collected from the mobile phone can be used to determine the velocity of the fireball. With the velocity, trajectory solution and RA/DEC the AMS can plot orbital estimates for significant fireball events reported to the society. Our hope is that overtime this catalog of events will reveal patterns relating to the origins of bright fireballs at certain times of year. The AMS also hopes to be able to associate fireball events reported to the society with known meteor showers when RA/DEC radiant estimates fall close enough to those of known showers. In addition to the enhanced fireball reporting application, the AMS Mobile App provides a meteor shower calendar with information, radiant maps and moon conditions for all upcoming showers. There is also a meteor observing function inside the app that enables meteor observers to log meteor observations directly on the phone and have that data uploaded to the AMS online database and associated with that users observing profile. To record observations the user simply points the device at the part of the sky where they saw the meteor. They then drag their finger across the screen in the direction the meteor traveled. The user is then prompted to enter the magnitude of the event and associate the meteor with a known shower that is active for that date. When the user completes their session, all of the data for each meteor along with the information relating to the session is uploaded to the AMS website. Users can then review the data online in the AMS member's area. Data across all users can be aggregated for statistical analysis and ZHR estimates. Currently the AMS has over 10,000 registered users and facebook followers. In 2013 over 680,000 people visited the AMS website and the society received over 18,000 witness reports relating to 713 confirmed unique fireball events.

Can online conference systems improve veterinary education? A study about the capability of online conferencing and its acceptance.

PubMed

Koch, Michael; Fischer, Martin R; Tipold, Andrea; Ehlers, Jan P

2012-01-01

In veterinary medicine, there is an ongoing need for students, educators, and veterinarians to exchange the latest knowledge in their respective fields and to learn about unusual cases, emerging diseases, and treatment. Networking among veterinary faculties is developing rapidly, but conferences and meetings can be difficult to attend because of time limitations and travel costs. The current study examines acceptance of synchronous online conferences, seminars, meetings, and lectures by veterinarians and students. First, an online survey on the use of communication technology in veterinary medicine was made available for 15 weeks to every German-speaking veterinary university and via professional journals and an online veterinary forum. A total of 1,776 persons (620 veterinarians and 1,156 students) participated. Most reported using the Internet at least once per day; more than half reported using instant messengers. Most participants used the Internet for communication, but less than half used Skype. Second, to test the spectrum of tools for online conferences, a variety of "virtual classroom" systems (netucate systems iLinc, Adobe Acrobat Connect Pro, Cisco WebEx, Skype) were used to deliver student lectures, veterinary continuing-education courses, and academic conferences at the University of Veterinary Medicine, Hannover (TiHo). Of 591 participants in 63 online events, 99.4% rated the virtual events as enjoyable, 96.1% found them useful, and 92.4% said that they learned a lot. Participants noted that the courses were not tied to a certain place, and thus saved time and travel costs. Online conference systems thus offer new opportunities to provide information in veterinary medicine.

Network Structure and Community Evolution on Twitter: Human Behavior Change in Response to the 2011 Japanese Earthquake and Tsunami

PubMed Central

Lu, Xin; Brelsford, Christa

2014-01-01

To investigate the dynamics of social networks and the formation and evolution of online communities in response to extreme events, we collected three datasets from Twitter shortly before and after the 2011 earthquake and tsunami in Japan. We find that while almost all users increased their online activity after the earthquake, Japanese speakers, who are assumed to be more directly affected by the event, expanded the network of people they interact with to a much higher degree than English speakers or the global average. By investigating the evolution of communities, we find that the behavior of joining or quitting a community is far from random: users tend to stay in their current status and are less likely to join new communities from solitary or shift to other communities from their current community. While non-Japanese speakers did not change their conversation topics significantly after the earthquake, nearly all Japanese users changed their conversations to earthquake-related content. This study builds a systematic framework for investigating human behaviors under extreme events with online social network data and our findings on the dynamics of networks and communities may provide useful insight for understanding how patterns of social interaction are influenced by extreme events. PMID:25346468

Network Structure and Community Evolution on Twitter: Human Behavior Change in Response to the 2011 Japanese Earthquake and Tsunami

NASA Astrophysics Data System (ADS)

Lu, Xin; Brelsford, Christa

2014-10-01

To investigate the dynamics of social networks and the formation and evolution of online communities in response to extreme events, we collected three datasets from Twitter shortly before and after the 2011 earthquake and tsunami in Japan. We find that while almost all users increased their online activity after the earthquake, Japanese speakers, who are assumed to be more directly affected by the event, expanded the network of people they interact with to a much higher degree than English speakers or the global average. By investigating the evolution of communities, we find that the behavior of joining or quitting a community is far from random: users tend to stay in their current status and are less likely to join new communities from solitary or shift to other communities from their current community. While non-Japanese speakers did not change their conversation topics significantly after the earthquake, nearly all Japanese users changed their conversations to earthquake-related content. This study builds a systematic framework for investigating human behaviors under extreme events with online social network data and our findings on the dynamics of networks and communities may provide useful insight for understanding how patterns of social interaction are influenced by extreme events.

Quantification, Prediction, and the Online Impact of Sentence Truth-Value: Evidence from Event-Related Potentials

ERIC Educational Resources Information Center

Nieuwland, Mante S.

2016-01-01

Do negative quantifiers like "few" reduce people's ability to rapidly evaluate incoming language with respect to world knowledge? Previous research has addressed this question by examining whether online measures of quantifier comprehension match the "final" interpretation reflected in verification judgments. However, these…

News

NASA Astrophysics Data System (ADS)

2003-07-01

Meetings: Physics Teachers@CERN 2003 Education Group Annual Conference: Observations by a first-time participant... Summer Workshop: Making Music Competition: Physics in the fast lane Bristol Festival of Physics: Ice cream ice-breakers Online Resources: Old favourites go online UK Curriculum: What does society want? UK Curriculum: Assessment of Science Learning 14-19 Forthcoming Events

Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment.

PubMed

Besmer, Michael D; Epting, Jannis; Page, Rebecca M; Sigrist, Jürg A; Huggenberger, Peter; Hammes, Frederik

2016-12-07

Detailed measurements of physical, chemical and biological dynamics in groundwater are key to understanding the important processes in place and their influence on water quality - particularly when used for drinking water. Measuring temporal bacterial dynamics at high frequency is challenging due to the limitations in automation of sampling and detection of the conventional, cultivation-based microbial methods. In this study, fully automated online flow cytometry was applied in a groundwater system for the first time in order to monitor microbial dynamics in a groundwater extraction well. Measurements of bacterial concentrations every 15 minutes during 14 days revealed both aperiodic and periodic dynamics that could not be detected previously, resulting in total cell concentration (TCC) fluctuations between 120 and 280 cells μL -1 . The aperiodic dynamic was linked to river water contamination following precipitation events, while the (diurnal) periodic dynamic was attributed to changes in hydrological conditions as a consequence of intermittent groundwater extraction. Based on the high number of measurements, the two patterns could be disentangled and quantified separately. This study i) increases the understanding of system performance, ii) helps to optimize monitoring strategies, and iii) opens the possibility for more sophisticated (quantitative) microbial risk assessment of drinking water treatment systems.

Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment

PubMed Central

Besmer, Michael D.; Epting, Jannis; Page, Rebecca M.; Sigrist, Jürg A.; Huggenberger, Peter; Hammes, Frederik

2016-01-01

Detailed measurements of physical, chemical and biological dynamics in groundwater are key to understanding the important processes in place and their influence on water quality – particularly when used for drinking water. Measuring temporal bacterial dynamics at high frequency is challenging due to the limitations in automation of sampling and detection of the conventional, cultivation-based microbial methods. In this study, fully automated online flow cytometry was applied in a groundwater system for the first time in order to monitor microbial dynamics in a groundwater extraction well. Measurements of bacterial concentrations every 15 minutes during 14 days revealed both aperiodic and periodic dynamics that could not be detected previously, resulting in total cell concentration (TCC) fluctuations between 120 and 280 cells μL−1. The aperiodic dynamic was linked to river water contamination following precipitation events, while the (diurnal) periodic dynamic was attributed to changes in hydrological conditions as a consequence of intermittent groundwater extraction. Based on the high number of measurements, the two patterns could be disentangled and quantified separately. This study i) increases the understanding of system performance, ii) helps to optimize monitoring strategies, and iii) opens the possibility for more sophisticated (quantitative) microbial risk assessment of drinking water treatment systems. PMID:27924920

Novel Real-time Alignment and Calibration of the LHCb detector in Run2

NASA Astrophysics Data System (ADS)

Martinelli, Maurizio; LHCb Collaboration

2017-10-01

LHCb has introduced a novel real-time detector alignment and calibration strategy for LHC Run2. Data collected at the start of the fill are processed in a few minutes and used to update the alignment parameters, while the calibration constants are evaluated for each run. This procedure improves the quality of the online reconstruction. For example, the vertex locator is retracted and reinserted for stable beam conditions in each fill to be centred on the primary vertex position in the transverse plane. Consequently its position changes on a fill-by-fill basis. Critically, this new real-time alignment and calibration procedure allows identical constants to be used in the online and offline reconstruction, thus improving the correlation between triggered and offline-selected events. This offers the opportunity to optimise the event selection in the trigger by applying stronger constraints. The required computing time constraints are met thanks to a new dedicated framework using the multi-core farm infrastructure for the trigger. The motivation for a real-time alignment and calibration of the LHCb detector is discussed from both the operational and physics performance points of view. Specific challenges of this novel configuration are discussed, as well as the working procedures of the framework and its performance.

Climate Signals: An On-Line Digital Platform for Mapping Climate Change Impacts in Real Time

NASA Astrophysics Data System (ADS)

Cutting, H.

2016-12-01

Climate Signals is an on-line digital platform for cataloging and mapping the impacts of climate change. The CS platform specifies and details the chains of connections between greenhouse gas emissions and individual climate events. Currently in open-beta release, the platform is designed to to engage and serve the general public, news media, and policy-makers, particularly in real-time during extreme climate events. Climate Signals consists of a curated relational database of events and their links to climate change, a mapping engine, and a gallery of climate change monitors offering real-time data. For each event in the database, an infographic engine provides a custom attribution "tree" that illustrates the connections to climate change. In addition, links to key contextual resources are aggregated and curated for each event. All event records are fully annotated with detailed source citations and corresponding hyper links. The system of attribution used to link events to climate change in real-time is detailed here. This open-beta release is offered for public user testing and engagement. Launched in May 2016, the operation of this platform offers lessons for public engagement in climate change impacts.

The 03 April 2017 Botswana M6.5 earthquake: Preliminary results

NASA Astrophysics Data System (ADS)

Midzi, Vunganai; Saunders, I.; Manzunzu, B.; Kwadiba, M. T.; Jele, V.; Mantsha, R.; Marimira, K. T.; Mulabisana, T. F.; Ntibinyane, O.; Pule, T.; Rathod, G. W.; Sitali, M.; Tabane, L.; van Aswegen, G.; Zulu, B. S.

2018-07-01

An earthquake of magnitude Mw 6.5 occurred on the evening of 3 April 2017 in Central Botswana, southern Africa. The event was well recorded by the regional seismic networks. The location by the Council for Geoscience (CGS) placed it near the Central Kgalagadi Game Reserve. Its effects were felt widely in southern Africa and were pronounced for residents of Gauteng and the North West Province in South Africa. In response to this event, the CGS, together with the Botswana Geoscience Institute (BGI), embarked on two scientific projects. The first project involved a macroseismic survey to study the extent and nature of the effects of the event in southern Africa. This involved CGS and BGI scientists soliciting information from members of the public through questionnaire surveys. More information was collected through questionnaires submitted online by the public. In total, 181 questionnaires were obtained through interviews and 151 online from South Africa, Zimbabwe and Namibia through collaboration between the CGS, the Meteorological Services Department of Zimbabwe and the Geological Survey of Namibia. All collected data were analysed to produce 79 intensity data points (IDPs) located all over the region, with maximum intensity values of VI (according to the Modified Mercalli Intensity scale) observed near the epicentre. This is quite a low value of maximum intensity for such a large event, but was expected given that the epicentral region is in a national park which is sparsely populated. The second scientific project involved the rapid installation of a temporary network of six seismograph stations in and around the location of the main event with the purpose of detecting and recording its aftershocks over a period of three months. Data recorded in the first month of April 2017 were collected and delivered to both the CGS and BGI for processing. More than 500 aftershock events of magnitude ML ≥ 0.8 were recorded and analysed for this period. All the events were located at the eastern edge of the Central Kgalagadi Park near the location of the main event in two clear clusters. The observed clusters imply that a segmented fault is the source of these earthquakes and is oriented in a NW-SE direction, similar to the direction inferred from the fault plane solution of the main event.

Students Matter: Quality Measurements in Online Courses

ERIC Educational Resources Information Center

Unal, Zafer; Unal, Aslihan

2016-01-01

Quality Matters (QM) is a peer review process designed to certify the quality of online courses and online components. It has generated widespread interest and received national recognition for its peer-based approach to quality assurance and continuous improvement in online education. While the entire QM online course design process is…

Words Analysis of Online Chinese News Headlines about Trending Events: A Complex Network Perspective

PubMed Central

Li, Huajiao; Fang, Wei; An, Haizhong; Huang, Xuan

2015-01-01

Because the volume of information available online is growing at breakneck speed, keeping up with meaning and information communicated by the media and netizens is a new challenge both for scholars and for companies who must address public relations crises. Most current theories and tools are directed at identifying one website or one piece of online news and do not attempt to develop a rapid understanding of all websites and all news covering one topic. This paper represents an effort to integrate statistics, word segmentation, complex networks and visualization to analyze headlines’ keywords and words relationships in online Chinese news using two samples: the 2011 Bohai Bay oil spill and the 2010 Gulf of Mexico oil spill. We gathered all the news headlines concerning the two trending events in the search results from Baidu, the most popular Chinese search engine. We used Simple Chinese Word Segmentation to segment all the headlines into words and then took words as nodes and considered adjacent relations as edges to construct word networks both using the whole sample and at the monthly level. Finally, we develop an integrated mechanism to analyze the features of words’ networks based on news headlines that can account for all the keywords in the news about a particular event and therefore track the evolution of news deeply and rapidly. PMID:25807376

Words analysis of online Chinese news headlines about trending events: a complex network perspective.

PubMed

Li, Huajiao; Fang, Wei; An, Haizhong; Huang, Xuan

2015-01-01

Because the volume of information available online is growing at breakneck speed, keeping up with meaning and information communicated by the media and netizens is a new challenge both for scholars and for companies who must address public relations crises. Most current theories and tools are directed at identifying one website or one piece of online news and do not attempt to develop a rapid understanding of all websites and all news covering one topic. This paper represents an effort to integrate statistics, word segmentation, complex networks and visualization to analyze headlines' keywords and words relationships in online Chinese news using two samples: the 2011 Bohai Bay oil spill and the 2010 Gulf of Mexico oil spill. We gathered all the news headlines concerning the two trending events in the search results from Baidu, the most popular Chinese search engine. We used Simple Chinese Word Segmentation to segment all the headlines into words and then took words as nodes and considered adjacent relations as edges to construct word networks both using the whole sample and at the monthly level. Finally, we develop an integrated mechanism to analyze the features of words' networks based on news headlines that can account for all the keywords in the news about a particular event and therefore track the evolution of news deeply and rapidly.

RCR Online Course: Build an Online Course to Augment RCR Training Using Evidenced-Based Learning Theory

PubMed Central

Ratliff, Mary; Masen, Nicole; Sullivan, Stephen; Fleming, Michael F.; Carney, Paula

2013-01-01

This article demonstrates how to apply evidenced-based instructional design principles to develop a supplemental, online Responsible Conduct of Research (RCR) course. The supplement RCR course may serve to appropriately augment the National Institutes of Health (NIH) required RCR training. The way to ensure that an online RCR course is effective is to incorporate evidence-based learning theories into the development of the course content. This article specifically demonstrates application of Bloom’s taxonomy and Gagne’s Nine Instructional Events to a research misconduct course. At the conclusion, the reader will be able to apply evidence-based learning theories to the development of any online course. PMID:22861181

Recruitment Strategies of Indian Men Who Have Sex with Men in the State of Maharashtra Into an Online Survey.

PubMed

Wilkerson, J Michael; Patankar, Pallav; Rawat, Shruta Mengle; Simon Rosser, B R; Shukla, Kanjani M; Rhoton, Jayson; Ekstrand, Maria L

In this manuscript, we report lessons learned from our efforts to recruit Indian men and transgender women/hijras who have sex with men into an online cross sectional study. Between September 2013 and May 2014, we implemented a seven-phased recruitment strategy that included the use of online and offline strategies to enroll a total of 449 participants into an online survey about recent sexual behavior and various psychosocial measures. The phases were implemented sequentially and cost-per-eligible participant was calculated. Using social media and collaborating with organizers of community events proved the most effective strategies for recruiting Indian MSM into online research.

NHM-SMAP: spatially and temporally high-resolution nonhydrostatic atmospheric model coupled with detailed snow process model for Greenland Ice Sheet

NASA Astrophysics Data System (ADS)

Niwano, Masashi; Aoki, Teruo; Hashimoto, Akihiro; Matoba, Sumito; Yamaguchi, Satoru; Tanikawa, Tomonori; Fujita, Koji; Tsushima, Akane; Iizuka, Yoshinori; Shimada, Rigen; Hori, Masahiro

2018-02-01

To improve surface mass balance (SMB) estimates for the Greenland Ice Sheet (GrIS), we developed a 5 km resolution regional climate model combining the Japan Meteorological Agency Non-Hydrostatic atmospheric Model and the Snow Metamorphism and Albedo Process model (NHM-SMAP) with an output interval of 1 h, forced by the Japanese 55-year reanalysis (JRA-55). We used in situ data to evaluate NHM-SMAP in the GrIS during the 2011-2014 mass balance years. We investigated two options for the lower boundary conditions of the atmosphere: an offline configuration using snow, firn, and ice albedo, surface temperature data from JRA-55, and an online configuration using values from SMAP. The online configuration improved model performance in simulating 2 m air temperature, suggesting that the surface analysis provided by JRA-55 is inadequate for the GrIS and that SMAP results can better simulate physical conditions of snow/firn/ice. It also reproduced the measured features of the GrIS climate, diurnal variations, and even a strong mesoscale wind event. In particular, it successfully reproduced the temporal evolution of the GrIS surface melt area extent as well as the record melt event around 12 July 2012, at which time the simulated melt area extent reached 92.4 %. Sensitivity tests showed that the choice of calculation schemes for vertical water movement in snow and firn has an effect as great as 200 Gt year-1 in the GrIS-wide accumulated SMB estimates; a scheme based on the Richards equation provided the best performance.

National Estimates of Exposure to Traumatic Events and PTSD Prevalence Using DSM-IV and DSM-5 Criteria

PubMed Central

Kilpatrick, Dean G.; Resnick, Heidi S.; Milanak, Melissa E.; Miller, Mark W.; Keyes, Katherine M.; Friedman, Matthew J.

2014-01-01

Prevalence of posttraumatic stress disorder (PTSD) defined according to the American Psychiatric Association’s Diagnostic and Statistical Manual fifth edition (DSM-5; 2013) and fourth edition (DSM-IV; 1994) was compared in a national sample of U.S. adults (N = 2,953) recruited from an online panel. Exposure to traumatic events, PTSD symptoms, and functional impairment were assessed online using a highly structured, self-administered survey. Traumatic event exposure using DSM-5 criteria was high (89.7%), and exposure to multiple traumatic event types was the norm. PTSD caseness was determined using Same Event (i.e., all symptom criteria met to the same event type) and Composite Event (i.e., symptom criteria met to a combination of event types) definitions. Lifetime, past-12-month, and past 6-month PTSD prevalence using the Same Event definition for DSM-5 was 8.3%, 4.7%, and 3.8% respectively. All 6 DSM-5 prevalence estimates were slightly lower than their DSM-IV counterparts, although only 2 of these differences were statistically significant. DSM-5 PTSD prevalence was higher among women than among men, and prevalence increased with greater traumatic event exposure. Major reasons individuals met DSM-IV criteria, but not DSM-5 criteria were the exclusion of nonaccidental, nonviolent deaths from Criterion A, and the new requirement of at least 1 active avoidance symptom. PMID:24151000

Automatic classification of seismic events within a regional seismograph network

NASA Astrophysics Data System (ADS)

Tiira, Timo; Kortström, Jari; Uski, Marja

2015-04-01

A fully automatic method for seismic event classification within a sparse regional seismograph network is presented. The tool is based on a supervised pattern recognition technique, Support Vector Machine (SVM), trained here to distinguish weak local earthquakes from a bulk of human-made or spurious seismic events. The classification rules rely on differences in signal energy distribution between natural and artificial seismic sources. Seismic records are divided into four windows, P, P coda, S, and S coda. For each signal window STA is computed in 20 narrow frequency bands between 1 and 41 Hz. The 80 discrimination parameters are used as a training data for the SVM. The SVM models are calculated for 19 on-line seismic stations in Finland. The event data are compiled mainly from fully automatic event solutions that are manually classified after automatic location process. The station-specific SVM training events include 11-302 positive (earthquake) and 227-1048 negative (non-earthquake) examples. The best voting rules for combining results from different stations are determined during an independent testing period. Finally, the network processing rules are applied to an independent evaluation period comprising 4681 fully automatic event determinations, of which 98 % have been manually identified as explosions or noise and 2 % as earthquakes. The SVM method correctly identifies 94 % of the non-earthquakes and all the earthquakes. The results imply that the SVM tool can identify and filter out blasts and spurious events from fully automatic event solutions with a high level of confidence. The tool helps to reduce work-load in manual seismic analysis by leaving only ~5 % of the automatic event determinations, i.e. the probable earthquakes for more detailed seismological analysis. The approach presented is easy to adjust to requirements of a denser or wider high-frequency network, once enough training examples for building a station-specific data set are available.

SCADA data and the quantification of hazardous events for QMRA.

PubMed

Nilsson, P; Roser, D; Thorwaldsdotter, R; Petterson, S; Davies, C; Signor, R; Bergstedt, O; Ashbolt, N

2007-01-01

The objective of this study was to assess the use of on-line monitoring to support the QMRA at water treatment plants studied in the EU MicroRisk project. SCADA data were obtained from three Catchment-to-Tap Systems (CTS) along with system descriptions, diary records, grab sample data and deviation reports. Particular attention was paid to estimating hazardous event frequency, duration and magnitude. Using Shewart and CUSUM we identified 'change-points' corresponding to events of between 10 min and >1 month duration in timeseries data. Our analysis confirmed it is possible to quantify hazardous event durations from turbidity, chlorine residual and pH records and distinguish them from non-hazardous variability in the timeseries dataset. The durations of most 'events' were short-term (0.5-2.3 h). These data were combined with QMRA to estimate pathogen infection risk arising from such events as chlorination failure. While analysis of SCADA data alone could identify events provisionally, its interpretation was severely constrained in the absence of diary records and other system information. SCADA data analysis should only complement traditional water sampling, rather than replace it. More work on on-line data management, quality control and interpretation is needed before it can be used routinely for event characterization.

Wind Energy Workforce Development: Engineering, Science, & Technology

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

Lesieutre, George A.; Stewart, Susan W.; Bridgen, Marc

2013-03-29

Broadly, this project involved the development and delivery of a new curriculum in wind energy engineering at the Pennsylvania State University; this includes enhancement of the Renewable Energy program at the Pennsylvania College of Technology. The new curricula at Penn State includes addition of wind energy-focused material in more than five existing courses in aerospace engineering, mechanical engineering, engineering science and mechanics and energy engineering, as well as three new online graduate courses. The online graduate courses represent a stand-alone Graduate Certificate in Wind Energy, and provide the core of a Wind Energy Option in an online intercollege professional Mastersmore » degree in Renewable Energy and Sustainability Systems. The Pennsylvania College of Technology erected a 10 kilowatt Xzeres wind turbine that is dedicated to educating the renewable energy workforce. The entire construction process was incorporated into the Renewable Energy A.A.S. degree program, the Building Science and Sustainable Design B.S. program, and other construction-related coursework throughout the School of Construction and Design Technologies. Follow-on outcomes include additional non-credit opportunities as well as secondary school career readiness events, community outreach activities, and public awareness postings.« less

Rapid Offline-Online Post-Disaster Landslide Mapping Tool: A case study from Nepal

NASA Astrophysics Data System (ADS)

Olyazadeh, Roya; Jaboyedoff, Michel; Sudmeier-Rieux, Karen; Derron, Marc-Henri; Devkota, Sanjaya

2016-04-01

One of the crucial components of post disaster management is the efficient mapping of impacted areas. Here we present a tool designed to map landslides and affected objects after the earthquakes of 2015 in Nepal as well as for intense rainfall impact. Because internet is not available in many rural areas of Nepal, we developed an offline-online prototype based on Open-Source WebGIS technologies to make data on hazard impacts, including damaged infrastructure, landslides or flooding events available to authorities and the general public. This mobile application was designed as a low-cost, rapid and participatory method for recording impacts from hazard events. It is possible to record such events offline and upload them through a server, where internet connection is available. This application allows user authentication, image capturing, and information collation such as geolocation, event description, interactive mapping and finally storing all the data in the server for further analysis and visualisation. This application can be accessed by a mobile phone (Android) or a tablet as a hybrid version for both offline and online versions. The offline version has an interactive-offline map function which allows users to upload satellites image in order to improve ground truthing interpretation. After geolocation, the user can start mapping and then save recorded data into Geojson-TXT files that can be easily uploaded to the server whenever internet is available. This prototype was tested specifically for a rapid assessment of landslides and relevant land use characteristics such as roads, forest area, rivers in the Phewa Lake watershed near Pokhara, Nepal where a large number landslides were activated or reactivated after the 2015 monsoon season. More than 60 landslides were recorded during two days of field trip. Besides, it is possible to use this application for any other kind of hazard event like flood, avalanche, etc. Keywords: Offline, Online, Open source, WebGIS, Android, Post-Disaster, Landslide mapping

A Portable Airborne Scanning Lidar System for Ocean and Coastal Applications

DTIC Science & Technology

2009-06-26

available online at http://www.ndbc.noaa.gov/) and Hs by the Coastal Data Information Program ( CDIP ) Station 100 (available online at http...storm events (Fig. 9). Significant wave height (Hs) for Novem- ber and December 2008, measured by CDIP station 043, located 2.7 km offshore of the

Identifying the Factors That Predict Degree Completion for Entirely Online Community College Students

ERIC Educational Resources Information Center

Brock, Kishia R.

2014-01-01

The purpose of this research study was to identify demographic characteristics, academic factors, and student behaviors that contributed to successful degree and certificate completion for entirely online, nontraditional undergraduate students at a large community college. A discrete-time event history analysis was used to model the retention of…

Polarized Discourse in the Egyptian News: Critical Discourse Analysis Perspective

ERIC Educational Resources Information Center

Eissa, Mohammed Mahmoud

2015-01-01

The aim of this study is to investigate ideological structures of polarized discourse coded in the reports of two online news websites: egyptindependent and ikwanweb. The study focuses on online news reports relating to three interrelated events: the issuing of a constitutional declaration by Egyptian president, the aftermath clashes outside…

Signal Event Context: Trace Technologies of the habit@online

ERIC Educational Resources Information Center

Luke, Robert

2003-01-01

Web portals--those online environments that encourage users to trade personal information for the opportunity to personalise the information space--are experiencing a considerable resurgence in popularity. Web portals are web sites that allow users to log on with a username and password and create their very own datastructure. This datastructure…

Video Lecture Watching Behaviors of Learners in Online Courses

ERIC Educational Resources Information Center

Ozan, Ozlem; Ozarslan, Yasin

2016-01-01

This paper examines learners' behaviors while watching online video lectures to understand learner preferences. 2927 students' 18,144 video events across 13 courses on Sakai CLE LMS, which were integrated with Kaltura Video Platform and Google Analytics, were analyzed. For the analysis of the quantitative data, one-way ANOVA, Chi-square test of…

Pyrame 3, an online framework for Calice SiW-Ecal

NASA Astrophysics Data System (ADS)

Magniette, F.; Irles, A.

2018-03-01

Pyrame 3 is the new version of the Pyrame framework [1], with emphasize on the online data treatment and the complex tasks scripting. A new mechanism has been implemented to allow any module to treat and publish data in real time. Those data are made available to any requesting module. A circular buffer mechanism allows to break the real-time constraint and to serve the slower programs in a generic subsampling way. On the other side, a programming facility called event-loop has been provided in C/C++ language to ease the development of monitoring programs. On the SiW-Ecal prototype, the acquisition chain launches a bunch of online decoders that makes available raw data plus some basic reconstruction data (true coordinate, true time, data quality tags\\ldots). With the event-loop, it is now really very easy to implement new online monitoring programs. On the other side, the scripting mechanism has been enhanced to provide complete control of the detector to the scripts. This way, we are able to script and monitor complex behaviours like position or energy scanning, calibrations or data driven reconfigurations.

Reinforced two-step-ahead weight adjustment technique for online training of recurrent neural networks.

PubMed

Chang, Li-Chiu; Chen, Pin-An; Chang, Fi-John

2012-08-01

A reliable forecast of future events possesses great value. The main purpose of this paper is to propose an innovative learning technique for reinforcing the accuracy of two-step-ahead (2SA) forecasts. The real-time recurrent learning (RTRL) algorithm for recurrent neural networks (RNNs) can effectively model the dynamics of complex processes and has been used successfully in one-step-ahead forecasts for various time series. A reinforced RTRL algorithm for 2SA forecasts using RNNs is proposed in this paper, and its performance is investigated by two famous benchmark time series and a streamflow during flood events in Taiwan. Results demonstrate that the proposed reinforced 2SA RTRL algorithm for RNNs can adequately forecast the benchmark (theoretical) time series, significantly improve the accuracy of flood forecasts, and effectively reduce time-lag effects.

A review of microdialysis coupled to microchip electrophoresis for monitoring biological events

PubMed Central

Saylor, Rachel A.; Lunte, Susan M.

2015-01-01

Microdialysis is a powerful sampling technique that enables monitoring of dynamic processes in vitro and in vivo. The combination of microdialysis with chromatographic or electrophoretic methods yields along with selective detection methods yields a “separation-based sensor” capable of monitoring multiple analytes in near real time. Analysis of microdialysis samples requires techniques that are fast (<1 min), have low volume requirements (nL–pL), and, ideally, can be employed on-line. Microchip electrophoresis fulfills these requirements and also permits the possibility of integrating sample preparation and manipulation with detection strategies directly on-chip. Microdialysis coupled to microchip electrophoresis has been employed for monitoring biological events in vivo and in vitro. This review discusses technical considerations for coupling microdialysis sampling and microchip electrophoresis, including various interface designs, and current applications in the field. PMID:25637011

Schema Driven Construction of Future Autobiographical Traumatic Events: The Future is Much More Troubling than the Past

PubMed Central

Rubin, David C.

2013-01-01

Research on future episodic thought has produced compelling theories and results in cognitive psychology, cognitive neuroscience, and clinical psychology. To integrate these using basic concepts and methods from autobiographical memory research, 76 undergraduates remembered past and imagined future positive and negative events that had or would have a major impact on them. Correlations of the online ratings of visual and auditory imagery, emotion, and other measures demonstrated that individuals used the same processes to the same extent to remember past and construct future events. These measures predicted the theoretically important metacognitive judgment of past reliving and future ‘preliving’ in similar ways. Future negative events had much higher scores than past negative events on standardized tests of reactions to traumatic events, scores in the range that would qualify for a diagnosis of posttraumatic stress disorder (PTSD), which was replicated (n = 52) to check for order effects. Consistent with earlier work, future events had less sensory vividness. Thus, the imagined symptoms of future events were unlikely to be caused by sensory vividness. To confirm this, 63 undergraduates produced numerous added details between two constructions of the same negative future events, removing deficits in rated vividness with no increase in the standardized tests of reactions to traumatic events. Neuroticism predicted individuals’ reactions to negative past events but did not predict imagined reactions to future events. This set of novel methods and findings are interpreted in the contexts of the literatures of episodic future thought, autobiographical memory, PTSD, and classic schema theory. PMID:23607632

Treatment tolerance and patient-reported outcomes favor online hemodiafiltration compared to high-flux hemodialysis in the elderly.

PubMed

Morena, Marion; Jaussent, Audrey; Chalabi, Lotfi; Leray-Moragues, Hélène; Chenine, Leila; Debure, Alain; Thibaudin, Damien; Azzouz, Lynda; Patrier, Laure; Maurice, Francois; Nicoud, Philippe; Durand, Claude; Seigneuric, Bruno; Dupuy, Anne-Marie; Picot, Marie-Christine; Cristol, Jean-Paul; Canaud, Bernard

2017-06-01

Large cohort studies suggest that high convective volumes associated with online hemodiafiltration may reduce the risk of mortality/morbidity compared to optimal high-flux hemodialysis. By contrast, intradialytic tolerance is not well studied. The aim of the FRENCHIE (French Convective versus Hemodialysis in Elderly) study was to compare high-flux hemodialysis and online hemodiafiltration in terms of intradialytic tolerance. In this prospective, open-label randomized controlled trial, 381 elderly chronic hemodialysis patients (over age 65) were randomly assigned in a one-to-one ratio to either high-flux hemodialysis or online hemodiafiltration. The primary outcome was intradialytic tolerance (day 30-day 120). Secondary outcomes included health-related quality of life, cardiovascular risk biomarkers, morbidity, and mortality. During the observational period for intradialytic tolerance, 85% and 84% of patients in high-flux hemodialysis and online hemodiafiltration arms, respectively, experienced at least one adverse event without significant difference between groups. As exploratory analysis, intradialytic tolerance was also studied, considering the sessions as a statistical unit according to treatment actually received. Over a total of 11,981 sessions, 2,935 were complicated by the occurrence of at least one adverse event, with a significantly lower occurrence in online hemodiafiltration with fewer episodes of intradialytic symptomatic hypotension and muscle cramps. By contrast, health-related quality of life, morbidity, and mortality were not different in both groups. An improvement in the control of metabolic bone disease biomarkers and β2-microglobulin level without change in serum albumin concentration was observed with online hemodiafiltration. Thus, overall outcomes favor online hemodiafiltration over high-flux hemodialysis in the elderly. Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Analysis of adverse events with Essure hysteroscopic sterilization reported to the Manufacturer and User Facility Device Experience database.

PubMed

Al-Safi, Zain A; Shavell, Valerie I; Hobson, Deslyn T G; Berman, Jay M; Diamond, Michael P

2013-01-01

The Manufacturer and User Facility Device Experience database may be useful for clinicians using a Food and Drug Administration-approved medical device to identify the occurrence of adverse events and complications. We sought to analyze and investigate reports associated with the Essure hysteroscopic sterilization system (Conceptus Inc., Mountain View, CA) using this database. Retrospective review of the Manufacturer and User Facility Device Experience database for events related to Essure hysteroscopic sterilization from November 2002 to February 2012 (Canadian Task Force Classification III). Online retrospective review. Online reports of patients who underwent Essure tubal sterilization. Essure tubal sterilization. Four hundred fifty-seven adverse events were reported in the study period. Pain was the most frequently reported event (217 events [47.5%]) followed by delivery catheter malfunction (121 events [26.4%]). Poststerilization pregnancy was reported in 61 events (13.3%), of which 29 were ectopic pregnancies. Other reported events included perforation (90 events [19.7%]), abnormal bleeding (44 events [9.6%]), and microinsert malposition (33 events [7.2%]). The evaluation and management of these events resulted in an additional surgical procedure in 270 cases (59.1%), of which 44 were hysterectomies. Sixty-one unintended poststerilization pregnancies were reported in the study period, of which 29 (47.5%) were ectopic gestations. Thus, ectopic pregnancy must be considered if a woman becomes pregnant after Essure hysteroscopic sterilization. Additionally, 44 women underwent hysterectomy after an adverse event reported to be associated with the use of the device. Copyright © 2013 AAGL. Published by Elsevier Inc. All rights reserved.

Anticipating explanations in relative clause processing.

PubMed

Rohde, H; Levy, R; Kehler, A

2011-03-01

We show that comprehenders' expectations about upcoming discourse coherence relations influence the resolution of local structural ambiguity. We employ cases in which two clauses share both a syntactic relationship and a discourse relationship, and hence in which syntactic and discourse processing might be expected to interact. An off-line sentence-completion study and an on-line self-paced reading study examined readers' expectations for high/low relative-clause attachments following implicit-causality and non-implicit causality verbs (John detests/babysits the children of the musician who…). In the off-line study, the widely reported low-attachment preference for English is observed in the non-implicit causality condition, but this preference gives way to more high attachments in the implicit-causality condition in cases in which (i) the verb's causally implicated referent occupies the high-attachment position and (ii) the relative clause provides an explanation for the event described by the matrix clause (e.g., …who are arrogant and rude). In the on-line study, a similar preference for high attachment emerges in the implicit-causality context-crucially, before the occurrence of any linguistic evidence that the RC does in fact provide an explanation-whereas the low-attachment preference is consistent elsewhere. These findings constitute the first demonstration that expectations about ensuing discourse coherence relationships can elicit full reversals in syntactic attachment preferences, and that these discourse-level expectations can affect on-line disambiguation as rapidly as lexical and morphosyntactic cues. Copyright © 2010 Elsevier B.V. All rights reserved.

Anticipating Explanations in Relative Clause Processing

PubMed Central

Rohde, H.; Levy, R.; Kehler, A.

2011-01-01

We show that comprehenders’ expectations about upcoming discourse coherence relations influence the resolution of local structural ambiguity. We employ cases in which two clauses share both a syntactic relationship and a discourse relationship, and hence in which syntactic and discourse processing might be expected to interact. An off-line sentence-completion study and an on-line self-paced reading study examined readers’ expectations for high/low relative clause attachments following implicit-causality and non-implicit-causality verbs (John detests/babysits the children of the musician who…). In the off-line study, the widely reported low-attachment preference for English is observed in the non-implicit causality condition, but this preference gives way to more high attachments in the implicit causality condition in cases in which (i) the verb’s causally implicated referent occupies the high-attachment position and (ii) the relative clause provides an explanation for the event described by the matrix clause (e.g., …who are arrogant and rude). In the on-line study, a similar preference for high attachment emerges in the implicit causality context—crucially, before the occurrence of any linguistic evidence that the RC does in fact provide an explanation—whereas the low-attachment preference is consistent elsewhere. These findings constitute the first demonstration that expectations about ensuing discourse coherence relationships can elicit full reversals in syntactic attachment preferences, and that these discourse-level expectations can affect on-line disambiguation as rapidly as lexical and morphosyntactic cues. PMID:21216396

The Maia Spectroscopy Detector System: Engineering for Integrated Pulse Capture, Low-Latency Scanning and Real-Time Processing

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

Kirkham, R.; Siddons, D.; Dunn, P.A.

2010-06-23

The Maia detector system is engineered for energy dispersive x-ray fluorescence spectroscopy and elemental imaging at photon rates exceeding 10{sup 7}/s, integrated scanning of samples for pixel transit times as small as 50 {micro}s and high definition images of 10{sup 8} pixels and real-time processing of detected events for spectral deconvolution and online display of pure elemental images. The system developed by CSIRO and BNL combines a planar silicon 384 detector array, application-specific integrated circuits for pulse shaping and peak detection and sampling and optical data transmission to an FPGA-based pipelined, parallel processor. This paper describes the system and themore » underpinning engineering solutions.« less

Bonsai: an event-based framework for processing and controlling data streams

PubMed Central

Lopes, Gonçalo; Bonacchi, Niccolò; Frazão, João; Neto, Joana P.; Atallah, Bassam V.; Soares, Sofia; Moreira, Luís; Matias, Sara; Itskov, Pavel M.; Correia, Patrícia A.; Medina, Roberto E.; Calcaterra, Lorenza; Dreosti, Elena; Paton, Joseph J.; Kampff, Adam R.

2015-01-01

The design of modern scientific experiments requires the control and monitoring of many different data streams. However, the serial execution of programming instructions in a computer makes it a challenge to develop software that can deal with the asynchronous, parallel nature of scientific data. Here we present Bonsai, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams. We describe Bonsai's core principles and architecture and demonstrate how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience. We specifically highlight some applications that require the combination of many different hardware and software components, including video tracking of behavior, electrophysiology and closed-loop control of stimulation. PMID:25904861

Needs-Based Training and Online Resource for Managers of Rural Festivals, Fairs, and Events

ERIC Educational Resources Information Center

Olson, Eric D.; Rajagopal, Lakshman

2018-01-01

Festivals, fairs, and events (FFEs) provide rural communities with economic and noneconomic benefits. For the project described in this article, we conducted a needs assessment of Iowa FFE managers by surveying them about the challenges they face in event management and then used the results of the assessment as the basis for training sessions…

Vaxtracker: Active on-line surveillance for adverse events following inactivated influenza vaccine in children.

PubMed

Cashman, Patrick; Moberley, Sarah; Dalton, Craig; Stephenson, Jody; Elvidge, Elissa; Butler, Michelle; Durrheim, David N

2014-09-22

Vaxtracker is a web based survey for active post marketing surveillance of Adverse Events Following Immunisation. It is designed to efficiently monitor vaccine safety of new vaccines by early signal detection of serious adverse events. The Vaxtracker system automates contact with the parents or carers of immunised children by email and/or sms message to their smart phone. A hyperlink on the email and text messages links to a web based survey exploring adverse events following the immunisation. The Vaxtracker concept was developed during 2011 (n=21), and piloted during the 2012 (n=200) and 2013 (n=477) influenza seasons for children receiving inactivated influenza vaccine (IIV) in the Hunter New England Local Health District, New South Wales, Australia. Survey results were reviewed by surveillance staff to detect any safety signals and compare adverse event frequencies among the different influenza vaccines administered. In 2012, 57% (n=113) of the 200 participants responded to the online survey and 61% (290/477) in 2013. Vaxtracker appears to be an effective method for actively monitoring adverse events following influenza vaccination in children. Crown Copyright © 2014. Published by Elsevier Ltd. All rights reserved.

Online surveillance of media health event reporting in Nepal: digital disease detection from a One Health perspective.

PubMed

Schwind, Jessica S; Norman, Stephanie A; Karmacharya, Dibesh; Wolking, David J; Dixit, Sameer M; Rajbhandari, Rajesh M; Mekaru, Sumiko R; Brownstein, John S

2017-09-21

Traditional media and the internet are crucial sources of health information. Media can significantly shape public opinion, knowledge and understanding of emerging and endemic health threats. As digital communication rapidly progresses, local access and dissemination of health information contribute significantly to global disease detection and reporting. Health event reports in Nepal (October 2013-December 2014) were used to characterize Nepal's media environment from a One Health perspective using HealthMap - a global online disease surveillance and mapping tool. Event variables (location, media source type, disease or risk factor of interest, and affected species) were extracted from HealthMap. A total of 179 health reports were captured from various sources including newspapers, inter-government agency bulletins, individual reports, and trade websites, yielding 108 (60%) unique articles. Human health events were reported most often (n = 85; 79%), followed by animal health events (n = 23; 21%), with no reports focused solely on environmental health. By expanding event coverage across all of the health sectors, media in developing countries could play a crucial role in national risk communication efforts and could enhance early warning systems for disasters and disease outbreaks.

Most Courses Are Not Born Digital: An Overview of the Quality Matters Peer Review Process for Online Course Design

ERIC Educational Resources Information Center

Varonis, Evageline Marlos

2014-01-01

Purpose: The purpose of this paper is to discuss benefits of and barriers to online learning and describe utilization of the Quality Matters (QM) peer review process as a method to assure the quality of online courses. It outlines the QM higher education rubric, explains how the collaborative QM peer review process facilitates online course design…

CMS Data Processing Workflows during an Extended Cosmic Ray Run

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

Not Available

2009-11-01

The CMS Collaboration conducted a month-long data taking exercise, the Cosmic Run At Four Tesla, during October-November 2008, with the goal of commissioning the experiment for extended operation. With all installed detector systems participating, CMS recorded 270 million cosmic ray events with the solenoid at a magnetic field strength of 3.8 T. This paper describes the data flow from the detector through the various online and offline computing systems, as well as the workflows used for recording the data, for aligning and calibrating the detector, and for analysis of the data.

Ultrasonic fatigue of SiC particle reinforced aluminum in the VHCF-regime

NASA Astrophysics Data System (ADS)

Wolf, M.; Wagner, G.; Eifler, D.

At the WKK ultrasonic testing facilities (UTF) are used to perform fatigue experiments in the VHCF regime with a frequency of 20 kHz. These systems allow an on-line characterization of the actual fatigue state by changes of different process parameters such as generator power, displacement, temperature or frequency-response characteristic. Moreover the experiments can be interrupted at user defined events in order to investigate variations of the surface microstructure or changes in the electrical resistance of the specimens. The fatigue tests were realized as load increase tests as well as constant amplitude tests.

Using Solar Dynamics Observatory Data in the Classroom to Do Real Science -- A Community College Astronomy Laboratory Investigation

NASA Astrophysics Data System (ADS)

Scherrer, Deborah K.; Hildreth, S.; Lee, S.; Dave, T.; Scherrer, P. H.

2013-07-01

A partnership between Stanford University and Chabot Community College (Hayward, CA) has developed a series of laboratory exercises using SDO (AIA, HMI) data, targeted for community college students in an introductory astronomy lab class. The labs lead students to explore what SDO can do via online resources and videos. Students investigate their chosen solar events, generate their own online videos, prepare their own hypotheses relating to the events, and explore outcomes. Final assessment should be completed by the end of summer 2013. Should the labs prove valuable, they may be adapted for high school use.

Sentiment Diffusion of Public Opinions about Hot Events: Based on Complex Network

PubMed Central

Hao, Xiaoqing; An, Haizhong; Zhang, Lijia; Li, Huajiao; Wei, Guannan

2015-01-01

To study the sentiment diffusion of online public opinions about hot events, we collected people’s posts through web data mining techniques. We calculated the sentiment value of each post based on a sentiment dictionary. Next, we divided those posts into five different orientations of sentiments: strongly positive (P), weakly positive (p), neutral (o), weakly negative (n), and strongly negative (N). These sentiments are combined into modes through coarse graining. We constructed sentiment mode complex network of online public opinions (SMCOP) with modes as nodes and the conversion relation in chronological order between different types of modes as edges. We calculated the strength, k-plex clique, clustering coefficient and betweenness centrality of the SMCOP. The results show that the strength distribution obeys power law. Most posts’ sentiments are weakly positive and neutral, whereas few are strongly negative. There are weakly positive subgroups and neutral subgroups with ppppp and ooooo as the core mode, respectively. Few modes have larger betweenness centrality values and most modes convert to each other with these higher betweenness centrality modes as mediums. Therefore, the relevant person or institutes can take measures to lead people’s sentiments regarding online hot events according to the sentiment diffusion mechanism. PMID:26462230

To War or Not? Engaging Middle School Students in an Ongoing Online Discussion

ERIC Educational Resources Information Center

O'Brien, Joseph; Lawrence, Nicholas; Green, Kori

2014-01-01

In seeking to prepare students to be "citizens of a culturally diverse, democratic society in an interdependent world," teachers engage students in live, online discussions about what justifies war, while at the same time grappling with the requirements to teach the memorization of people, places and isolated events. Teachers and a…

A Quantitative and Qualitative Analysis of the Effectiveness of Online Homework in First-Semester Calculus

ERIC Educational Resources Information Center

Zerr, Ryan

2007-01-01

An online homework system created for use by beginning calculus students is described. This system was designed with the specific goal of supporting student engagement outside of class by replicating the attempt-feedback-reattempt sequence of events which often occurs in a teacher's presence. Evidence is presented which indicates that this goal…

Introductory Soils Online: An Effective Way to Get Online Students in the Field

ERIC Educational Resources Information Center

Reuter, Ron

2007-01-01

Traditional soil science courses, especially with a hands-on lab component, have been face-to-face events. Several universities in the United States now offer a distance natural resources related degree, yet few have developed distance soils courses, arguably an essential part of a complete natural resource education. This article discusses the…

Meta-awareness, perceptual decoupling and the wandering mind.

PubMed

Schooler, Jonathan W; Smallwood, Jonathan; Christoff, Kalina; Handy, Todd C; Reichle, Erik D; Sayette, Michael A

2011-07-01

Mind wandering (i.e. engaging in cognitions unrelated to the current demands of the external environment) reflects the cyclic activity of two core processes: the capacity to disengage attention from perception (known as perceptual decoupling) and the ability to take explicit note of the current contents of consciousness (known as meta-awareness). Research on perceptual decoupling demonstrates that mental events that arise without any external precedent (known as stimulus independent thoughts) often interfere with the online processing of sensory information. Findings regarding meta-awareness reveal that the mind is only intermittently aware of engaging in mind wandering. These basic aspects of mind wandering are considered with respect to the activity of the default network, the role of executive processes, the contributions of meta-awareness and the functionality of mind wandering. Copyright © 2011 Elsevier Ltd. All rights reserved.

EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing.

PubMed

Delorme, Arnaud; Mullen, Tim; Kothe, Christian; Akalin Acar, Zeynep; Bigdely-Shamlo, Nima; Vankov, Andrey; Makeig, Scott

2011-01-01

We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools include (1) a new and flexible EEGLAB STUDY design facility for framing and performing statistical analyses on data from multiple subjects; (2) a neuroelectromagnetic forward head modeling toolbox (NFT) for building realistic electrical head models from available data; (3) a source information flow toolbox (SIFT) for modeling ongoing or event-related effective connectivity between cortical areas; (4) a BCILAB toolbox for building online brain-computer interface (BCI) models from available data, and (5) an experimental real-time interactive control and analysis (ERICA) environment for real-time production and coordination of interactive, multimodal experiments.

Integration of modern statistical tools for the analysis of climate extremes into the web-GIS “CLIMATE”

NASA Astrophysics Data System (ADS)

Ryazanova, A. A.; Okladnikov, I. G.; Gordov, E. P.

2017-11-01

The frequency of occurrence and magnitude of precipitation and temperature extreme events show positive trends in several geographical regions. These events must be analyzed and studied in order to better understand their impact on the environment, predict their occurrences, and mitigate their effects. For this purpose, we augmented web-GIS called “CLIMATE” to include a dedicated statistical package developed in the R language. The web-GIS “CLIMATE” is a software platform for cloud storage processing and visualization of distributed archives of spatial datasets. It is based on a combined use of web and GIS technologies with reliable procedures for searching, extracting, processing, and visualizing the spatial data archives. The system provides a set of thematic online tools for the complex analysis of current and future climate changes and their effects on the environment. The package includes new powerful methods of time-dependent statistics of extremes, quantile regression and copula approach for the detailed analysis of various climate extreme events. Specifically, the very promising copula approach allows obtaining the structural connections between the extremes and the various environmental characteristics. The new statistical methods integrated into the web-GIS “CLIMATE” can significantly facilitate and accelerate the complex analysis of climate extremes using only a desktop PC connected to the Internet.

Social Anxiety and Post-Event Processing: The Impact of Race

PubMed Central

Buckner, Julia D.; Dean, Kimberlye E.

2016-01-01

Background Social anxiety is among the most prevalent psychiatric conditions, yet little attention has been paid to whether putative cognitive vulnerability factors related to social anxiety in predominantly White samples are related to social anxiety among historically underrepresented groups. Design We tested whether one such vulnerability factor, post-event processing (PEP; detailed review of social event that can increase state social anxiety) was related to social anxiety among African American (AA; n=127) persons, who comprise one of the largest underrepresented racial groups in the U.S. Secondarily, we tested whether AA participants differed from non-Hispanic White participants (n=127) on PEP and social anxiety and whether race moderated the relation between PEP and social anxiety. Method Data were collected online among undergraduates. Results PEP was positively correlated with social anxiety among AA participants, even after controlling for depression and income, pr=.30, p=.001. AA and White participants did not differ on social anxiety or PEP, β=−1.57, 95% C.I.: −5.11, 1.96. The relation of PEP to social anxiety did not vary as a function of race, β=0.00, 95% C.I.: −0.02, 0.02. Conclusions PEP may be an important cognitive vulnerability factor related to social anxiety among AA persons suffering from social anxiety. PMID:27576610

Social anxiety and post-event processing among African-American individuals.

PubMed

Buckner, Julia D; Dean, Kimberlye E

2017-03-01

Social anxiety is among the most prevalent psychiatric conditions, yet little attention has been paid to whether putative cognitive vulnerability factors related to social anxiety in predominantly White samples are related to social anxiety among historically underrepresented groups. We tested whether one such vulnerability factor, post-event processing (PEP; detailed review of social event that can increase state social anxiety) was related to social anxiety among African-American (AA; n = 127) persons, who comprise one of the largest underrepresented racial groups in the U.S. Secondarily, we tested whether AA participants differed from non-Hispanic White participants (n = 127) on PEP and social anxiety and whether race moderated the relation between PEP and social anxiety. Data were collected online among undergraduates. PEP was positively correlated with social anxiety among AA participants, even after controlling for depression and income, pr = .30, p = .001. AA and White participants did not differ on social anxiety or PEP, β = -1.57, 95% CI: -5.11, 1.96. The relation of PEP to social anxiety did not vary as a function of race, β = 0.00, 95% CI: -0.02, 0.02. PEP may be an important cognitive vulnerability factor related to social anxiety among AA persons suffering from social anxiety.

Using online pedagogy to explore student experiences of Science-Technology-Society-Environment (STSE) issues in a secondary science classroom

NASA Astrophysics Data System (ADS)

Ayyavoo, Gabriel Roman

With the proliferation of 21st century educational technologies, science teaching and learning with digitally acclimatized learners in secondary science education can be realized through an online Science-Technology-Society-Environment (STSE)-based issues approach. STSE-based programs can be interpreted as the exploration of socially-embedded initiatives in science (e.g., use of genetically modified foods) to promote the development of critical cognitive processes and to empower learners with responsible decision-making skills. This dissertation presents a case study examining the online environment of a grade 11 physics class in an all-girls' school, and the outcomes from those online discursive opportunities with STSE materials. The limited in-class discussion opportunities are often perceived as low-quality discussions in traditional classrooms because they originate from an inadequate introduction and facilitation of socially relevant issues in science programs. Hence, this research suggests that the science curriculum should be inclusive of STSE-based issue discussions. This study also examines the nature of students' online discourse and, their perceived benefits and challenges of learning about STSE-based issues through an online environment. Analysis of interviews, offline classroom events and online threaded discussion transcripts draws from the theoretical foundations of critical reflective thinking delineated in the Practical Inquiry (P.I.) Model. The PI model of Cognitive Presence is situated within the Community of Inquiry framework, encompassing two other core elements, Teacher Presence and Social Presence. In studying Cognitive Presence, the online STSE-based discourses were examined according to the four phases of the P.I. Model. The online discussions were measured at macro-levels to reveal patterns in student STSE-based discussions and content analysis of threaded discussions. These analyses indicated that 87% of the students participated in higher quality STSE-based discussions via an online forum as compared to in-class. The micro-level analysis revealed students to attain higher cognitive interactions with STSE issues. Sixteen percent of the students' threaded postings were identified in the Resolution Phase 4 when the teacher intervened with a focused teaching strategy. This research provides a significant theoretical and pedagogical contribution to blended approach to STSE-based secondary science education. It presents a framework for teachers to facilitate students' online discussions and to support learners in exploring STSE-based topics.

LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models.

PubMed

Soto, Axel J; Zerva, Chrysoula; Batista-Navarro, Riza; Ananiadou, Sophia

2018-04-15

Pathway models are valuable resources that help us understand the various mechanisms underpinning complex biological processes. Their curation is typically carried out through manual inspection of published scientific literature to find information relevant to a model, which is a laborious and knowledge-intensive task. Furthermore, models curated manually cannot be easily updated and maintained with new evidence extracted from the literature without automated support. We have developed LitPathExplorer, a visual text analytics tool that integrates advanced text mining, semi-supervised learning and interactive visualization, to facilitate the exploration and analysis of pathway models using statements (i.e. events) extracted automatically from the literature and organized according to levels of confidence. LitPathExplorer supports pathway modellers and curators alike by: (i) extracting events from the literature that corroborate existing models with evidence; (ii) discovering new events which can update models; and (iii) providing a confidence value for each event that is automatically computed based on linguistic features and article metadata. Our evaluation of event extraction showed a precision of 89% and a recall of 71%. Evaluation of our confidence measure, when used for ranking sampled events, showed an average precision ranging between 61 and 73%, which can be improved to 95% when the user is involved in the semi-supervised learning process. Qualitative evaluation using pair analytics based on the feedback of three domain experts confirmed the utility of our tool within the context of pathway model exploration. LitPathExplorer is available at http://nactem.ac.uk/LitPathExplorer_BI/. sophia.ananiadou@manchester.ac.uk. Supplementary data are available at Bioinformatics online.

Medial Temporal Lobe Damage Causes Deficits in Episodic Memory and Episodic Future Thinking Not Attributable to Deficits in Narrative Construction

PubMed Central

Race, Elizabeth; Keane, Margaret M.; Verfaellie, Mieke

2015-01-01

The medial temporal lobe (MTL) makes critical contributions to episodic memory, but its contributions to episodic future thinking remain a matter of debate. By one view, imagining future events relies on MTL mechanisms that also support memory for past events. Alternatively, it has recently been suggested that future thinking is independent of MTL-mediated processes and can be supported by regions outside the MTL. The current study investigated the nature and necessity of MTL involvement in imagining the future and tested the novel hypothesis that the MTL contributes to future thinking by supporting online binding processes related to narrative construction. Human amnesic patients with well-characterized MTL damage and healthy controls constructed narratives about (a) future events, (b) past events, and (c) visually-presented pictures. While all three tasks place similar demands on narrative construction, only the past and future conditions require memory/future thinking to mentally generate relevant narrative information. Patients produced impoverished descriptions of both past and future events but were unimpaired at producing detailed picture narratives. In addition, future-thinking performance positively correlated with episodic memory performance but did not correlate with picture narrative performance. Finally, future-thinking impairments were present when MTL lesions were restricted to the hippocampus and did not depend on the presence of neural damage outside the MTL. These results indicate that the ability to generate and maintain a detailed narrative is preserved in amnesia and suggest that a common MTL mechanism supports both episodic memory and episodic future thinking. PMID:21753003

Medial temporal lobe damage causes deficits in episodic memory and episodic future thinking not attributable to deficits in narrative construction.

PubMed

Race, Elizabeth; Keane, Margaret M; Verfaellie, Mieke

2011-07-13

The medial temporal lobe (MTL) makes critical contributions to episodic memory, but its contributions to episodic future thinking remain a matter of debate. By one view, imagining future events relies on MTL mechanisms that also support memory for past events. Alternatively, it has recently been suggested that future thinking is independent of MTL-mediated processes and can be supported by regions outside the MTL. The current study investigated the nature and necessity of MTL involvement in imagining the future and tested the novel hypothesis that the MTL contributes to future thinking by supporting online binding processes related to narrative construction. Human amnesic patients with well characterized MTL damage and healthy controls constructed narratives about (1) future events, (2) past events, and (3) visually presented pictures. While all three tasks place similar demands on narrative construction, only the past and future conditions require memory/future thinking to mentally generate relevant narrative information. Patients produced impoverished descriptions of both past and future events but were unimpaired at producing detailed picture narratives. In addition, future-thinking performance positively correlated with episodic memory performance but did not correlate with picture narrative performance. Finally, future-thinking impairments were present when MTL lesions were restricted to the hippocampus and did not depend on the presence of neural damage outside the MTL. These results indicate that the ability to generate and maintain a detailed narrative is preserved in amnesia and suggest that a common MTL mechanism supports both episodic memory and episodic future thinking.

Adolescents' Evaluation of Cyberbullying Events

ERIC Educational Resources Information Center

Gomez-Garibello, Carlos; Shariff, Shaheen; McConnell, Megan; Talwar, Victoria

2012-01-01

Educators and other professionals working with adolescents have grown increasingly concerned about how technology affects social relationships given the amount of time that is spent engaging in online activities. Cyberbullying has sparked the interest of many researchers due to the tragic events reported in the media, relating to the online…

What Do You Mean by That?! An Electrophysiological Study of Emotional and Attitudinal Prosody.

PubMed

Wickens, Steven; Perry, Conrad

2015-01-01

The use of prosody during verbal communication is pervasive in everyday language and whilst there is a wealth of research examining the prosodic processing of emotional information, much less is known about the prosodic processing of attitudinal information. The current study investigated the online neural processes underlying the prosodic processing of non-verbal emotional and attitudinal components of speech via the analysis of event-related brain potentials related to the processing of anger and sarcasm. To examine these, sentences with prosodic expectancy violations created by cross-splicing a prosodically neutral head ('he has') and a prosodically neutral, angry, or sarcastic ending (e.g., 'a serious face') were used. Task demands were also manipulated, with participants in one experiment performing prosodic classification and participants in another performing probe-verification. Overall, whilst minor differences were found across the tasks, the results suggest that angry and sarcastic prosodic expectancy violations follow a similar processing time-course underpinned by similar neural resources.

Coordinated roles of motivation and perception in the regulation of intergroup responses: frontal cortical asymmetry effects on the P2 event-related potential and behavior.

PubMed

Amodio, David M

2010-11-01

Self-regulation is believed to involve changes in motivation and perception that function to promote goal-driven behavior. However, little is known about the way these processes interact during the on-line engagement of self-regulation. The present study examined the coordination of motivation, perception, and action control in White American participants as they regulated responses on a racial stereotyping task. Electroencephalographic indices of approach motivation (left frontal cortical asymmetry) and perceptual attention to Black versus White faces (the P2 event-related potential) were assessed during task performance. Action control was modeled from task behavior using the process-dissociation procedure. A pattern of moderated mediation emerged, such that stronger left frontal activity predicted larger P2 responses to race, which in turn predicted better action control, especially for participants holding positive racial attitudes. Results supported the hypothesis that motivation tunes perception to facilitate goal-directed action. Implications for theoretical models of intergroup response regulation, the P2 component, and the relation between motivation and perception are discussed.

Processing of the signals from the Liquid Xenon Calorimeter for timing measurements

NASA Astrophysics Data System (ADS)

Epshteyn, L. B.; Grebenuyk, A. A.; Kozyrev, A. N.; Logashenko, I. B.; Mikhaylov, K. Yu.; Ruban, A. A.; Yudin, Yu. V.

2017-02-01

One of the goals of the Cryogenic Magnetic Detector at Budker Institute of Nuclear Physics SB RAS (Novosibirsk, Russia) is a study of hadron production in electron-positron collisions near threshold. The neutron-antineutron pair production events can be detected only by the calorimeters. In the barrel calorimeter the antineutron annihilation typically occurs about 5 ns or later after the beams crossing. For identification of such events it is necessary to measure the time of flight of particles to the LXe-calorimeter with an accuracy of about a few nanoseconds. The LXe-calorimeter consists of 14 layers of ionization chambers with two readout: anode and cathode. The duration of charge collection to the anodes is about 4.5 μs, while the required accuracy of measuring of the signal arrival time is less than 1/1000 of that (i.e. 4.5 ns). Besides, the signals' shapes differ substantially from event to event, so the signal arrival time is measured in two stages. In the paper we describ the development of the special electronics which performs waveform digitization and the on-line measurement of signals' arrival times and amplitudes.

Using Statistical Process Control for detecting anomalies in multivariate spatiotemporal Earth Observations

NASA Astrophysics Data System (ADS)

Flach, Milan; Mahecha, Miguel; Gans, Fabian; Rodner, Erik; Bodesheim, Paul; Guanche-Garcia, Yanira; Brenning, Alexander; Denzler, Joachim; Reichstein, Markus

2016-04-01

The number of available Earth observations (EOs) is currently substantially increasing. Detecting anomalous patterns in these multivariate time series is an important step in identifying changes in the underlying dynamical system. Likewise, data quality issues might result in anomalous multivariate data constellations and have to be identified before corrupting subsequent analyses. In industrial application a common strategy is to monitor production chains with several sensors coupled to some statistical process control (SPC) algorithm. The basic idea is to raise an alarm when these sensor data depict some anomalous pattern according to the SPC, i.e. the production chain is considered 'out of control'. In fact, the industrial applications are conceptually similar to the on-line monitoring of EOs. However, algorithms used in the context of SPC or process monitoring are rarely considered for supervising multivariate spatio-temporal Earth observations. The objective of this study is to exploit the potential and transferability of SPC concepts to Earth system applications. We compare a range of different algorithms typically applied by SPC systems and evaluate their capability to detect e.g. known extreme events in land surface processes. Specifically two main issues are addressed: (1) identifying the most suitable combination of data pre-processing and detection algorithm for a specific type of event and (2) analyzing the limits of the individual approaches with respect to the magnitude, spatio-temporal size of the event as well as the data's signal to noise ratio. Extensive artificial data sets that represent the typical properties of Earth observations are used in this study. Our results show that the majority of the algorithms used can be considered for the detection of multivariate spatiotemporal events and directly transferred to real Earth observation data as currently assembled in different projects at the European scale, e.g. http://baci-h2020.eu/index.php/ and http://earthsystemdatacube.net/. Known anomalies such as the Russian heatwave are detected as well as anomalies which are not detectable with univariate methods.

Prediction and Characterization of High-Activity Events in Social Media Triggered by Real-World News.

PubMed

Kalyanam, Janani; Quezada, Mauricio; Poblete, Barbara; Lanckriet, Gert

2016-01-01

On-line social networks publish information on a high volume of real-world events almost instantly, becoming a primary source for breaking news. Some of these real-world events can end up having a very strong impact on on-line social networks. The effect of such events can be analyzed from several perspectives, one of them being the intensity and characteristics of the collective activity that it produces in the social platform. We research 5,234 real-world news events encompassing 43 million messages discussed on the Twitter microblogging service for approximately 1 year. We show empirically that exogenous news events naturally create collective patterns of bursty behavior in combination with long periods of inactivity in the network. This type of behavior agrees with other patterns previously observed in other types of natural collective phenomena, as well as in individual human communications. In addition, we propose a methodology to classify news events according to the different levels of intensity in activity that they produce. In particular, we analyze the most highly active events and observe a consistent and strikingly different collective reaction from users when they are exposed to such events. This reaction is independent of an event's reach and scope. We further observe that extremely high-activity events have characteristics that are quite distinguishable at the beginning stages of their outbreak. This allows us to predict with high precision, the top 8% of events that will have the most impact in the social network by just using the first 5% of the information of an event's lifetime evolution. This strongly implies that high-activity events are naturally prioritized collectively by the social network, engaging users early on, way before they are brought to the mainstream audience.

Older Adults Co-Creating Meaningful Individualized Social Activities Online for Healthy Ageing.

PubMed

Blusi, Madeleine; Nilsson, Ingeborg; Lindgren, Helena

2018-01-01

Social isolation and loneliness among older people is a growing problem with negative effects on physical and mental health. In co-creation with older adults individualized social activities were designed where older adults through computer mediated communication were able to participate in social activities without leaving their homes. Four types of activities were designed; outdoor activity, music event, visiting a friend and leisure activity. A participatory action research design was applied, where end users together with scientists from two research fields developed, tested and evaluated online participation in the activities. Usability and safety of the systems were major concerns among older adults. The evaluation pointed out that level of simplicity, usability and audio-video quality determined the level of satisfaction with the human interaction during the activity, thereby affecting the meaningfulness of the activity. The research presented in this paper constitutes the first step in a long-term research process aiming at developing a digital coaching system that gives older adults personalized support for increasing participation in meaningful social activities.

Online Teaching in Education, Health and Human Services: Helping Faculty Transition to Online Instruction and Providing Tools for Attaining Instructional Excellence

ERIC Educational Resources Information Center

Martin, Magy; Martin, Don

2015-01-01

The critical success of online instructors is their ability to engage students in the learning process. With this expertise, the online experience is extremely effective. The goal of this book is to help faculty understand the processes of teaching online and learning to be student-centered, which are the first steps toward becoming a successful…

Contributing Factors to a Successful Online Course Development Process

ERIC Educational Resources Information Center

Stevens, Karl B.

2013-01-01

This qualitative case study examined the experiences of instructional designers and professors during the online course development process. The purpose of this study was to determine if their experiences had an effect on the process itself. Data analysis revealed five emergent themes: communication, commitment to quality online courses,…

Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyse public concerns about vaccines.

PubMed

Larson, Heidi J; Smith, David M D; Paterson, Pauline; Cumming, Melissa; Eckersberger, Elisabeth; Freifeld, Clark C; Ghinai, Isaac; Jarrett, Caitlin; Paushter, Louisa; Brownstein, John S; Madoff, Lawrence C

2013-07-01

The intensity, spread, and effects of public opinion about vaccines are growing as new modes of communication speed up information sharing, contributing to vaccine hesitancy, refusals, and disease outbreaks. We aimed to develop a new application of existing surveillance systems to detect and characterise early signs of vaccine issues. We also aimed to develop a typology of concerns and a way to assess the priority of each concern. Following preliminary research by The Vaccine Confidence Project, media reports (eg, online articles, blogs, government reports) were obtained using the HealthMap automated data collection system, adapted to monitor online reports about vaccines, vaccination programmes, and vaccine-preventable diseases. Any reports that did not meet the inclusion criteria--any reference to a human vaccine or vaccination campaign or programme that was accessible online--were removed from analysis. Reports were manually analysed for content and categorised by concerns, vaccine, disease, location, and source of report, and overall positive or negative sentiment towards vaccines. They were then given a priority level depending on the seriousness of the reported event and time of event occurrence. We used descriptive statistics to analyse the data collected during a period of 1 year, after refinements to the search terms and processes had been made. We analysed data from 10,380 reports (from 144 countries) obtained between May 1, 2011, and April 30, 2012. 7171 (69%) contained positive or neutral content and 3209 (31%) contained negative content. Of the negative reports, 1977 (24%) were associated with impacts on vaccine programmes and disease outbreaks; 1726 (21%) with beliefs, awareness, and perceptions; 1371 (16%) with vaccine safety; and 1336 (16%) with vaccine delivery programmes. We were able to disaggregate the data by country and vaccine type, and monitor evolution of events over time and location in specific regions where vaccine concerns were high. Real-time monitoring and analysis of vaccine concerns over time and location could help immunisation programmes to tailor more effective and timely strategies to address specific public concerns. Bill & Melinda Gates Foundation. Copyright © 2013 Elsevier Ltd. All rights reserved.

Learning Tasks, Peer Interaction, and Cognition Process: An Online Collaborative Design Model

ERIC Educational Resources Information Center

Du, Jianxia; Durrington, Vance A.

2013-01-01

This paper illustrates a model for Online Group Collaborative Learning. The authors based the foundation of the Online Collaborative Design Model upon Piaget's concepts of assimilation and accommodation, and Vygotsky's theory of social interaction. The four components of online collaborative learning include: individual processes, the task(s)…

On-line early fault detection and diagnosis of municipal solid waste incinerators

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

Zhao Jinsong; Huang Jianchao; Sun Wei

A fault detection and diagnosis framework is proposed in this paper for early fault detection and diagnosis (FDD) of municipal solid waste incinerators (MSWIs) in order to improve the safety and continuity of production. In this framework, principal component analysis (PCA), one of the multivariate statistical technologies, is used for detecting abnormal events, while rule-based reasoning performs the fault diagnosis and consequence prediction, and also generates recommendations for fault mitigation once an abnormal event is detected. A software package, SWIFT, is developed based on the proposed framework, and has been applied in an actual industrial MSWI. The application shows thatmore » automated real-time abnormal situation management (ASM) of the MSWI can be achieved by using SWIFT, resulting in an industrially acceptable low rate of wrong diagnosis, which has resulted in improved process continuity and environmental performance of the MSWI.« less

Event-Based Plausibility Immediately Influences On-Line Language Comprehension

ERIC Educational Resources Information Center

Matsuki, Kazunaga; Chow, Tracy; Hare, Mary; Elman, Jeffrey L.; Scheepers, Christoph; McRae, Ken

2011-01-01

In some theories of sentence comprehension, linguistically relevant lexical knowledge, such as selectional restrictions, is privileged in terms of the time-course of its access and influence. We examined whether event knowledge computed by combining multiple concepts can rapidly influence language understanding even in the absence of selectional…

State of the art in on-line techniques coupled to flow injection analysis FIA/on-line- a critical review

PubMed Central

Puchades, R.; Maquieira, A.; Atienza, J.; Herrero, M. A.

1990-01-01

Flow injection analysis (FIA) has emerged as an increasingly used laboratory tool in chemical analysis. Employment of the technique for on-line sample treatment and on-line measurement in chemical process control is a growing trend. This article reviews the recent applications of FlA. Most papers refer to on-line sample treatment. Although FIA is very well suited to continuous on-line process monitoring, few examples have been found in this areamost of them have been applied to water treatment or fermentation processes. PMID:18925271

A linguistic analysis of grooming strategies of online child sex offenders: Implications for our understanding of predatory sexual behavior in an increasingly computer-mediated world.

PubMed

Black, Pamela J; Wollis, Melissa; Woodworth, Michael; Hancock, Jeffrey T

2015-06-01

There is a large body of evidence to suggest that child sex offenders engage in grooming to facilitate victimization. It has been speculated that this step-by-step grooming process is also used by offenders who access their underage victims online; however, little research has been done to examine whether there are unique aspects of computer-mediated communication that impact the traditional face-to-face grooming process. This study considered the similarities and differences in the grooming process in online environments by analyzing the language used by online offenders when communicating with their victims. The transcripts of 44 convicted online offenders were analyzed to assess a proposed theory of the online grooming process (O'Connell, 2003). Using a stage-based approach, computerized text analysis examined the types of language used in each stage of the offender-victim interaction. The transcripts also were content analyzed to examine the frequency of specific techniques known to be employed by both face-to-face and online offenders, such as flattery. Results reveal that while some evidence of the strategies used by offenders throughout the grooming process are present in online environments, the order and timing of these stages appear to be different. The types (and potential underlying pattern) of strategies used in online grooming support the development of a revised model for grooming in online environments. Copyright © 2015 Elsevier Ltd. All rights reserved.

"Who Me? A Cyberteen": Implications of Internet Usage on Realities and Identities of Malaysian Adolescents.

ERIC Educational Resources Information Center

Pawanteh, Latiffah; Rahim, Samsudin A.

2000-01-01

Examines the Internet usage pattern of Malaysian adolescents based on a survey of 1,404 adolescents between the ages of 13-16 and focus group discussions. Finds the daily realities of media savvy Malaysian youths are an integration of on-line and off-line relationships, events, information, memberships, chats and online shopping. (RS)

VizieR Online Data Catalog: OGLE-II DIA microlensing events (Wozniak+, 2001)

NASA Astrophysics Data System (ADS)

Wozniak, P. R.; Udalski, A.; Szymanski, M.; Kubiak, M.; Pietrzynski, G.; Soszynski, I.; Zebrun, K.

2002-11-01

We present a sample of microlensing events discovered in the Difference Image Analysis (DIA) of the OGLE-II images collected during three observing seasons, 1997-1999. 4424 light curves pass our criteria on the presence of a brightening episode on top of a constant baseline. Among those, 512 candidate microlensing events were selected visually. We designed an automated procedure, which unambiguously selects up to 237 best events. Including eight candidate events recovered by other means, a total of 520 light curves are presented in this work. (4 data files).

The 3 April 2017 Botswana M6.5 Earthquake: Scientific Rapid Response

NASA Astrophysics Data System (ADS)

Midzi, V.; Jele, V.; Kwadiba, M. T.; Mantsha, R.; Manzunzu, B.; Mulabisana, T. F.; Ntibinyane, O.; Pule, T.; Saunders, I.; Tabane, L.; van Aswegen, G.; Zulu, B. S.

2017-12-01

An earthquake of magnitude M6.5 occurred in the evening of 3 April 2017 in Central Botswana. The event was well recorded by the regional network and located by both the Council for Geoscience (CGS) and United States Geological Survey (USGS). Its effects were felt widely in southern Africa and were especially pronounced for residence of Gauteng and the North West Province. In response to these events, the CGS, together with the Botswana Geoscience Institute (BGI), embarked on two scientific projects. The first involved the quick installation of a temporary network of six seismograph stations in and around the location of the main Botswana event with the purpose of detecting and recording its aftershocks. Initially the intention had been to record the events for a period of one month, but on realizing just how active the area was it was decided to extend the period to three months. Data recorded in the first month were collected and delivered to both the CGS and BGI for processing. Currently data recorded in April 2017 after the installation of the stations has been analysed and more than 500 located aftershocks identified. All are located at the eastern edge of the Central Kalahari Park near the location of the main event in clear two clusters. The observed clusters imply that a segmented fault is the source of these earthquakes and is oriented in a NW-SE direction. The second scientific project involved a macroseismic survey to study the extent and nature of the effects of the event in southern Africa. This involved CGS and BGI scientists conducting interviews of members of the public to extract as much information as possible. Other data were collected from questionnaires submitted online by the public. In total 180 questionnaires were obtained through interviews and 141 online from South Africa, Zimbabwe and Namibia. All collected data have been analysed to produce 76 intensity data points located all over the region, with maximum intensity values of VI (according to the Modified Mercalli Intensity scale) observed near the epicenter. These are quite low values of intensity for such a large event, but are to be expected given that the epicentral region is in a national park which is sparsely populated.

Development of an Integrated Hydrologic Modeling System for Rainfall-Runoff Simulation

NASA Astrophysics Data System (ADS)

Lu, B.; Piasecki, M.

2008-12-01

This paper aims to present the development of an integrated hydrological model which involves functionalities of digital watershed processing, online data retrieval, hydrologic simulation and post-event analysis. The proposed system is intended to work as a back end to the CUAHSI HIS cyberinfrastructure developments. As a first step into developing this system, a physics-based distributed hydrologic model PIHM (Penn State Integrated Hydrologic Model) is wrapped into OpenMI(Open Modeling Interface and Environment ) environment so as to seamlessly interact with OpenMI compliant meteorological models. The graphical user interface is being developed from the openGIS application called MapWindows which permits functionality expansion through the addition of plug-ins. . Modules required to set up through the GUI workboard include those for retrieving meteorological data from existing database or meteorological prediction models, obtaining geospatial data from the output of digital watershed processing, and importing initial condition and boundary condition. They are connected to the OpenMI compliant PIHM to simulate rainfall-runoff processes and includes a module for automatically displaying output after the simulation. Online databases are accessed through the WaterOneFlow web services, and the retrieved data are either stored in an observation database(OD) following the schema of Observation Data Model(ODM) in case for time series support, or a grid based storage facility which may be a format like netCDF or a grid-based-data database schema . Specific development steps include the creation of a bridge to overcome interoperability issue between PIHM and the ODM, as well as the embedding of TauDEM (Terrain Analysis Using Digital Elevation Models) into the model. This module is responsible for developing watershed and stream network using digital elevation models. Visualizing and editing geospatial data is achieved by the usage of MapWinGIS, an ActiveX control developed by MapWindow team. After applying to the practical watershed, the performance of the model can be tested by the post-event analysis module.

On how the brain decodes vocal cues about speaker confidence.

PubMed

Jiang, Xiaoming; Pell, Marc D

2015-05-01

In speech communication, listeners must accurately decode vocal cues that refer to the speaker's mental state, such as their confidence or 'feeling of knowing'. However, the time course and neural mechanisms associated with online inferences about speaker confidence are unclear. Here, we used event-related potentials (ERPs) to examine the temporal neural dynamics underlying a listener's ability to infer speaker confidence from vocal cues during speech processing. We recorded listeners' real-time brain responses while they evaluated statements wherein the speaker's tone of voice conveyed one of three levels of confidence (confident, close-to-confident, unconfident) or were spoken in a neutral manner. Neural responses time-locked to event onset show that the perceived level of speaker confidence could be differentiated at distinct time points during speech processing: unconfident expressions elicited a weaker P2 than all other expressions of confidence (or neutral-intending utterances), whereas close-to-confident expressions elicited a reduced negative response in the 330-500 msec and 550-740 msec time window. Neutral-intending expressions, which were also perceived as relatively confident, elicited a more delayed, larger sustained positivity than all other expressions in the 980-1270 msec window for this task. These findings provide the first piece of evidence of how quickly the brain responds to vocal cues signifying the extent of a speaker's confidence during online speech comprehension; first, a rough dissociation between unconfident and confident voices occurs as early as 200 msec after speech onset. At a later stage, further differentiation of the exact level of speaker confidence (i.e., close-to-confident, very confident) is evaluated via an inferential system to determine the speaker's meaning under current task settings. These findings extend three-stage models of how vocal emotion cues are processed in speech comprehension (e.g., Schirmer & Kotz, 2006) by revealing how a speaker's mental state (i.e., feeling of knowing) is simultaneously inferred from vocal expressions. Copyright © 2015 Elsevier Ltd. All rights reserved.

Skipped Beats

MedlinePlus

... Certification (MOC) Scientific Sessions Certified Education Courses & Online Learning Co-Sponsored & Endorsed Events Educational Resources Career Resources Job Board Fellowships & Program Directors IBHRE Exam Jobs at ...

Atrial Flutter

MedlinePlus

... Certification (MOC) Scientific Sessions Certified Education Courses & Online Learning Co-Sponsored & Endorsed Events Educational Resources Career Resources Job Board Fellowships & Program Directors IBHRE Exam Jobs at ...

News Quantum physics: German Physical Society spring meeting Journal access: American Physical Society's online journals will be available for free in all US high schools Award: High-school physics teacher receives American award for excellence Teacher training: Fobinet offers coordination of teacher-training activities Astronomy: Astronomy fans see stars at Astrofest Conference: Delegates enjoy the workshops and activities at CPD conference Forthcoming events

NASA Astrophysics Data System (ADS)

2011-05-01

Quantum physics: German Physical Society spring meeting Journal access: American Physical Society's online journals will be available for free in all US high schools Award: High-school physics teacher receives American award for excellence Teacher training: Fobinet offers coordination of teacher-training activities Astronomy: Astronomy fans see stars at Astrofest Conference: Delegates enjoy the workshops and activities at CPD conference Forthcoming events

A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.

PubMed

Tsui, Chun Sing Louis; Gan, John Q; Roberts, Stephen J

2009-03-01

Due to the non-stationarity of EEG signals, online training and adaptation are essential to EEG based brain-computer interface (BCI) systems. Self-paced BCIs offer more natural human-machine interaction than synchronous BCIs, but it is a great challenge to train and adapt a self-paced BCI online because the user's control intention and timing are usually unknown. This paper proposes a novel motor imagery based self-paced BCI paradigm for controlling a simulated robot in a specifically designed environment which is able to provide user's control intention and timing during online experiments, so that online training and adaptation of the motor imagery based self-paced BCI can be effectively investigated. We demonstrate the usefulness of the proposed paradigm with an extended Kalman filter based method to adapt the BCI classifier parameters, with experimental results of online self-paced BCI training with four subjects.

SCOOP: A Measurement and Database of Student Online Search Behavior and Performance

ERIC Educational Resources Information Center

Zhou, Mingming

2015-01-01

The ability to access and process massive amounts of online information is required in many learning situations. In order to develop a better understanding of student online search process especially in academic contexts, an online tool (SCOOP) is developed for tracking mouse behavior on the web to build a more extensive account of student web…

FPGA Based Wavelet Trigger in Radio Detection of Cosmic Rays

NASA Astrophysics Data System (ADS)

Szadkowski, Zbigniew; Szadkowska, Anna

2014-12-01

Experiments which show coherent radio emission from extensive air showers induced by ultra-high-energy cosmic rays are designed for a detailed study of the development of the electromagnetic part of air showers. Radio detectors can operate with 100 % up time as, e.g., surface detectors based on water-Cherenkov tanks. They are being developed for ground-based experiments (e.g., the Pierre Auger Observatory) as another type of air-shower detector in addition to fluorescence detectors, which operate with only ˜10 % of duty on dark nights. The radio signals from air showers are caused by coherent emission from geomagnetic radiation and charge-excess processes. The self-triggers in radio detectors currently in use often generate a dense stream of data, which is analyzed afterwards. Huge amounts of registered data require significant manpower for off-line analysis. Improvement of trigger efficiency is a relevant factor. The wavelet trigger, which investigates on-line the power of radio signals (˜ V2/ R), is promising; however, it requires some improvements with respect to current designs. In this work, Morlet wavelets with various scaling factors were used for an analysis of real data from the Auger Engineering Radio Array and for optimization of the utilization of the resources in an FPGA. The wavelet analysis showed that the power of events is concentrated mostly in a limited range of the frequency spectrum (consistent with a range imposed by the input analog band-pass filter). However, we found several events with suspicious spectral characteristics, where the signal power is spread over the full band-width sampled by a 200 MHz digitizer with significant contribution of very high and very low frequencies. These events may not originate from cosmic ray showers but could be the result of human contamination. The engine of the wavelet analysis can be implemented in the modern powerful FPGAs and can remove suspicious events on-line to reduce the trigger rate.

Poster - Thur Eve - 05: Safety systems and failure modes and effects analysis for a magnetic resonance image guided radiation therapy system.

PubMed

Lamey, M; Carlone, M; Alasti, H; Bissonnette, J P; Borg, J; Breen, S; Coolens, C; Heaton, R; Islam, M; van Proojen, M; Sharpe, M; Stanescu, T; Jaffray, D

2012-07-01

An online Magnetic Resonance guided Radiation Therapy (MRgRT) system is under development. The system is comprised of an MRI with the capability of travel between and into HDR brachytherapy and external beam radiation therapy vaults. The system will provide on-line MR images immediately prior to radiation therapy. The MR images will be registered to a planning image and used for image guidance. With the intention of system safety we have performed a failure modes and effects analysis. A process tree of the facility function was developed. Using the process tree as well as an initial design of the facility as guidelines possible failure modes were identified, for each of these failure modes root causes were identified. For each possible failure the assignment of severity, detectability and occurrence scores was performed. Finally suggestions were developed to reduce the possibility of an event. The process tree consists of nine main inputs and each of these main inputs consisted of 5 - 10 sub inputs and tertiary inputs were also defined. The process tree ensures that the overall safety of the system has been considered. Several possible failure modes were identified and were relevant to the design, construction, commissioning and operating phases of the facility. The utility of the analysis can be seen in that it has spawned projects prior to installation and has lead to suggestions in the design of the facility. © 2012 American Association of Physicists in Medicine.

Event-based Plausibility Immediately Influences On-line Language Comprehension

PubMed Central

Matsuki, Kazunaga; Chow, Tracy; Hare, Mary; Elman, Jeffrey L.; Scheepers, Christoph; McRae, Ken

2011-01-01

In some theories of sentence comprehension, linguistically-relevant lexical knowledge such as selectional restrictions is privileged in terms of the time-course of its access and influence. We examined whether event knowledge computed by combining multiple concepts can rapidly influence language understanding even in the absence of selectional restriction violations. Specifically, we investigated whether instruments can combine with actions to influence comprehension of ensuing patients. Instrument-verb-patient triplets were created in a norming study designed to tap directly into event knowledge. In self-paced reading (Experiment 1), participants were faster to read patient nouns such as hair when they were typical of the instrument-action pair (Donna used the shampoo to wash vs. the hose to wash). Experiment 2 showed that these results were not due to direct instrument-patient relations. Experiment 3 replicated Experiment 1 using eyetracking, with effects of event typicality observed in first fixation and gaze durations on the patient noun. This research demonstrates that conceptual event-based expectations are computed and used rapidly and dynamically during on-line language comprehension. We discuss relationships among plausibility and predictability, as well as their implications. We conclude that selectional restrictions may be best considered as event-based conceptual knowledge, rather than lexical-grammatical knowledge. PMID:21517222

They all do it, will you? Event-related potential evidence of herding behavior in online peer-to-peer lending.

PubMed

Yu, Haihong; Dan, MengHan; Ma, Qingguo; Jin, Jia

2018-05-14

As herding is a typical characteristic of human behavior, many researchers have found the existence of herding behavior in online peer-to-peer lending through empirical surveys. However, the underlying neural basis of this phenomenon is still unclear. In the current study, we studied the neural activities of herding at decision-making stage and feedback stage using event-related potentials (ERPs). Our results showed that at decision-making stage, larger error related negativity (ERN) amplitude was induced under low-proportion conditions than that of high-proportion conditions. Meanwhile, during feedback stage, negative feedback elicited larger feedback related negativity (FRN) amplitude than that of positive feedback under low-proportion conditions, however, there was no significant FRN difference under high-proportion conditions. The current study suggests that herding behavior in online peer-to-peer lending is related to individual's risk perception and is possible to avoid negative emotions brought by failed investments. Copyright © 2018 Elsevier B.V. All rights reserved.

STAR Online Framework: from Metadata Collection to Event Analysis and System Control

NASA Astrophysics Data System (ADS)

Arkhipkin, D.; Lauret, J.

2015-05-01

In preparation for the new era of RHIC running (RHIC-II upgrades and possibly, the eRHIC era), the STAR experiment is expanding its modular Message Interface and Reliable Architecture framework (MIRA). MIRA allowed STAR to integrate meta-data collection, monitoring, and online QA components in a very agile and efficient manner using a messaging infrastructure approach. In this paper, we briefly summarize our past achievements, provide an overview of the recent development activities focused on messaging patterns and describe our experience with the complex event processor (CEP) recently integrated into the MIRA framework. CEP was used in the recent RHIC Run 14, which provided practical use cases. Finally, we present our requirements and expectations for the planned expansion of our systems, which will allow our framework to acquire features typically associated with Detector Control Systems. Special attention is given to aspects related to latency, scalability and interoperability within heterogeneous set of services, various data and meta-data acquisition components coexisting in STAR online domain.

Incorporation of Blended Learning in Introductory Courses: A Research-Based Approach to Evaluation

NASA Astrophysics Data System (ADS)

Strey, S. T.; Charlevoix, D. J.; Guarente, B. A.; Snodgrass, E. R.

2008-12-01

We evaluate the learning outcomes of students in large enrollment classes comparing a blended learning course format and a traditional lecture section. Blended learning, here, describes instruction that is a combination of face-to-face meeting with asynchronous online learning, resulting in reduced class time. The course, Severe and Hazardous Weather, relies heavily on graphics and animations of weather events available online, both current and archived, and thereby lends itself well to a blended format. Severe and Hazardous Weather is a popular general education requirement course at the University of Illinois with consistently high enrollments (greater than 200 students per section) and classes at capacity. Unlike many past studies, this blended learning format is applied to a large-enrollment course of approximately 100 students. Curriculum was redesigned during fall 2007 from typical lecture to the blended format. The redesign process followed best practices grounded in peer-reviewed literature on blended and online learning. We will provide a brief overview of the course structure, but focus on the evaluation of both the curriculum design and student outcomes as compared to the traditional lecture-based course. Evaluation is based on course objectives stated in the course syllabus and is conducted following best practices; the research project received University Institutional Review Board approval prior to the start of the study.

Heart Rhythm Society

MedlinePlus

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Reach and messages of the world's largest ivory burn.

PubMed

Braczkowski, Alexander; Holden, Matthew H; O'Bryan, Christopher; Choi, Chi-Yeung; Gan, Xiaojing; Beesley, Nicholas; Gao, Yufang; Allan, James; Tyrrell, Peter; Stiles, Daniel; Brehony, Peadar; Meney, Revocatus; Brink, Henry; Takashina, Nao; Lin, Ming-Ching; Lin, Hsien-Yung; Rust, Niki; Salmo, Severino G; Watson, James E M; Kahumbu, Paula; Maron, Martine; Possingham, Hugh P; Biggs, Duan

2018-03-01

Recent increases in ivory poaching have depressed African elephant populations. Successful enforcement has led to ivory stockpiling. Stockpile destruction is becoming increasingly popular, and most destruction has occurred in the last 5 years. Ivory destruction is intended to send a strong message against ivory consumption, both in promoting a taboo on ivory use and catalyzing policy change. However, there has been no effort to establish the distribution and extent of media reporting on ivory destruction events globally. We analyzed media coverage of the largest ivory destruction event in history (Kenya, 30 April 2016) across 11 nation states connected to ivory trade. We used an online-media crawling tool to search online media outlets and subjected 5 of the largest print newspapers (by circulation) in 5 nations of interest to content analysis. Most online news on the ivory burn came from the United States (81% of 1944 articles), whereas most of the print news articles came from Kenya (61% of 157 articles). Eighty-six to 97% of all online articles reported the burn as a positive conservation action, whereas 4-50% discussed ivory burning as having a negative impact on elephant conservation. Most articles discussed law enforcement and trade bans as effective for elephant conservation. There was more relative search interest globally in the 2016 Kenyan ivory burn than any other burn in 5 years. Ours is the first attempt to track the reach of media coverage relative to an ivory burn and provides a case study in tracking the effects of a conservation-marketing event. © 2018 Society for Conservation Biology.

Aligning Theory and Design: The Development of an Online Learning Intervention to Teach Evidence-based Practice for Maximal Reach.

PubMed

Delagran, Louise; Vihstadt, Corrie; Evans, Roni

2015-09-01

Online educational interventions to teach evidence-based practice (EBP) are a promising mechanism for overcoming some of the barriers to incorporating research into practice. However, attention must be paid to aligning strategies with adult learning theories to achieve optimal outcomes. We describe the development of a series of short self-study modules, each covering a small set of learning objectives. Our approach, informed by design-based research (DBR), involved 6 phases: analysis, design, design evaluation, redesign, development/implementation, and evaluation. Participants were faculty and students in 3 health programs at a complementary and integrative educational institution. We chose a reusable learning object approach that allowed us to apply 4 main learning theories: events of instruction, cognitive load, dual processing, and ARCS (attention, relevance, confidence, satisfaction). A formative design evaluation suggested that the identified theories and instructional approaches were likely to facilitate learning and motivation. Summative evaluation was based on a student survey (N=116) that addressed how these theories supported learning. Results suggest that, overall, the selected theories helped students learn. The DBR approach allowed us to evaluate the specific intervention and theories for general applicability. This process also helped us define and document the intervention at a level of detail that covers almost all the proposed Guideline for Reporting Evidence-based practice Educational intervention and Teaching (GREET) items. This thorough description will facilitate the interpretation of future research and implementation of the intervention. Our approach can also serve as a model for others considering online EBP intervention development.

Aligning Theory and Design: The Development of an Online Learning Intervention to Teach Evidence-based Practice for Maximal Reach

PubMed Central

Vihstadt, Corrie; Evans, Roni

2015-01-01

Background: Online educational interventions to teach evidence-based practice (EBP) are a promising mechanism for overcoming some of the barriers to incorporating research into practice. However, attention must be paid to aligning strategies with adult learning theories to achieve optimal outcomes. Methods: We describe the development of a series of short self-study modules, each covering a small set of learning objectives. Our approach, informed by design-based research (DBR), involved 6 phases: analysis, design, design evaluation, redesign, development/implementation, and evaluation. Participants were faculty and students in 3 health programs at a complementary and integrative educational institution. Results: We chose a reusable learning object approach that allowed us to apply 4 main learning theories: events of instruction, cognitive load, dual processing, and ARCS (attention, relevance, confidence, satisfaction). A formative design evaluation suggested that the identified theories and instructional approaches were likely to facilitate learning and motivation. Summative evaluation was based on a student survey (N=116) that addressed how these theories supported learning. Results suggest that, overall, the selected theories helped students learn. Conclusion: The DBR approach allowed us to evaluate the specific intervention and theories for general applicability. This process also helped us define and document the intervention at a level of detail that covers almost all the proposed Guideline for Reporting Evidence-based practice Educational intervention and Teaching (GREET) items. This thorough description will facilitate the interpretation of future research and implementation of the intervention. Our approach can also serve as a model for others considering online EBP intervention development. PMID:26421233

Integrated Modelling in CRUCIAL Science Education

NASA Astrophysics Data System (ADS)

Mahura, Alexander; Nuterman, Roman; Mukhamedzhanova, Elena; Nerobelov, Georgiy; Sedeeva, Margarita; Suhodskiy, Alexander; Mostamandy, Suleiman; Smyshlyaev, Sergey

2017-04-01

The NordForsk CRUCIAL project (2016-2017) "Critical steps in understanding land surface - atmosphere interactions: from improved knowledge to socioeconomic solutions" as a part of the Pan-Eurasian EXperiment (PEEX; https://www.atm.helsinki.fi/peex) programme activities, is looking for a deeper collaboration between Nordic-Russian science communities. In particular, following collaboration between Danish and Russian partners, several topics were selected for joint research and are focused on evaluation of: (1) urbanization processes impact on changes in urban weather and climate on urban-subregional-regional scales and at contribution to assessment studies for population and environment; (2) effects of various feedback mechanisms on aerosol and cloud formation and radiative forcing on urban-regional scales for better predicting extreme weather events and at contribution to early warning systems, (3) environmental contamination from continues emissions and industrial accidents for better assessment and decision making for sustainable social and economic development, and (4) climatology of atmospheric boundary layer in northern latitudes to improve understanding of processes, revising parameterizations, and better weather forecasting. These research topics are realized employing the online integrated Enviro-HIRLAM (Environment - High Resolution Limited Area Model) model within students' research projects: (1) "Online integrated high-resolution modelling of Saint-Petersburg metropolitan area influence on weather and air pollution forecasting"; (2) "Modeling of aerosol impact on regional-urban scales: case study of Saint-Petersburg metropolitan area"; (3) "Regional modeling and GIS evaluation of environmental pollution from Kola Peninsula sources"; and (4) "Climatology of the High-Latitude Planetary Boundary Layer". The students' projects achieved results and planned young scientists research training on online integrated modelling (Jun 2017) will be presented and discussed.

Signal quality and Bayesian signal processing in neurofeedback based on real-time fMRI.

PubMed

Koush, Yury; Zvyagintsev, Mikhail; Dyck, Miriam; Mathiak, Krystyna A; Mathiak, Klaus

2012-01-02

Real-time fMRI allows analysis and visualization of the brain activity online, i.e. within one repetition time. It can be used in neurofeedback applications where subjects attempt to control an activation level in a specified region of interest (ROI) of their brain. The signal derived from the ROI is contaminated with noise and artifacts, namely with physiological noise from breathing and heart beat, scanner drift, motion-related artifacts and measurement noise. We developed a Bayesian approach to reduce noise and to remove artifacts in real-time using a modified Kalman filter. The system performs several signal processing operations: subtraction of constant and low-frequency signal components, spike removal and signal smoothing. Quantitative feedback signal quality analysis was used to estimate the quality of the neurofeedback time series and performance of the applied signal processing on different ROIs. The signal-to-noise ratio (SNR) across the entire time series and the group event-related SNR (eSNR) were significantly higher for the processed time series in comparison to the raw data. Applied signal processing improved the t-statistic increasing the significance of blood oxygen level-dependent (BOLD) signal changes. Accordingly, the contrast-to-noise ratio (CNR) of the feedback time series was improved as well. In addition, the data revealed increase of localized self-control across feedback sessions. The new signal processing approach provided reliable neurofeedback, performed precise artifacts removal, reduced noise, and required minimal manual adjustments of parameters. Advanced and fast online signal processing algorithms considerably increased the quality as well as the information content of the control signal which in turn resulted in higher contingency in the neurofeedback loop. Copyright © 2011 Elsevier Inc. All rights reserved.

Validation of a Novel Digital Tool in Automatic Scoring of an Online ECG Examination at an International Cardiology Meeting.

PubMed

Quinn, Kieran L; Crystal, Eugene; Lashevsky, Ilan; Arouny, Banafsheh; Baranchuk, Adrian

2016-07-01

We have previously developed a novel digital tool capable of automatically recognizing correct electrocardiography (ECG) diagnoses in an online exam and demonstrated a significant improvement in diagnostic accuracy when utilizing an inductive-deductive reasoning strategy over a pattern recognition strategy. In this study, we sought to validate these findings from participants at the International Winter Arrhythmia School meeting, one of the foremost electrophysiology events in Canada. Preregistration to the event was sent by e-mail. The exam was administered on day 1 of the conference. Results and analysis were presented the following morning to participants. Twenty-five attendees completed the exam, providing a total of 500 responses to be marked. The online tool accurately identified 195 of a total of 395 (49%) correct responses (49%). In total, 305 responses required secondary manual review, of which 200 were added to the correct responses pool. The overall accuracy of correct ECG diagnosis for all participants was 69% and 84% when using pattern recognition or inductive-deductive strategies, respectively. Utilization of a novel digital tool to evaluate ECG competency can be set up as a workshop at international meetings or educational events. Results can be presented during the sessions to ensure immediate feedback. © 2015 Wiley Periodicals, Inc.

EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing

PubMed Central

Delorme, Arnaud; Mullen, Tim; Kothe, Christian; Akalin Acar, Zeynep; Bigdely-Shamlo, Nima; Vankov, Andrey; Makeig, Scott

2011-01-01

We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools include (1) a new and flexible EEGLAB STUDY design facility for framing and performing statistical analyses on data from multiple subjects; (2) a neuroelectromagnetic forward head modeling toolbox (NFT) for building realistic electrical head models from available data; (3) a source information flow toolbox (SIFT) for modeling ongoing or event-related effective connectivity between cortical areas; (4) a BCILAB toolbox for building online brain-computer interface (BCI) models from available data, and (5) an experimental real-time interactive control and analysis (ERICA) environment for real-time production and coordination of interactive, multimodal experiments. PMID:21687590

The Online Social Support Scale: Measure development and validation.

PubMed

Nick, Elizabeth A; Cole, David A; Cho, Sun-Joo; Smith, Darcy K; Carter, T Grace; Zelkowitz, Rachel L

2018-05-21

A new measure, the Online Social Support Scale, was developed based on previous theory, research, and measurement of in-person social support. It includes four subscales: Esteem/Emotional Support, Social Companionship, Informational Support, and Instrumental Support. In college and community samples, factor analytic and item response theory results suggest that subtypes of in-person social support also pertain in the online world. Evidence of reliability, convergent validity, and discriminant validity provide excellent psychometric support for the measure. Construct validity accrues to the measure vis-à-vis support for three hypotheses: (a) Various broad types of Internet platforms for social interactions are differentially associated with online social support and online victimization; (b) similar to in-person social support, online social support offsets the adverse effect of negative life events on self-esteem and depression-related outcome; and (c) online social support counteracts the effects of online victimization in much the same way that in-person friends in one social niche counterbalance rejection in other social niches. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

EarthInquiry: Using On-Line Data to Help Students Explore Fundamental Concepts in Geoscience

NASA Astrophysics Data System (ADS)

Alfano, M.; Keane, C. M.; Ridky, R. W.

2002-12-01

Using local case studies to learn about earth processes increases the relevance of science instruction. Students are encouraged to think about how geological processes affect their lives and experiences. Today, with many global data sets available on-line, instructors have unprecedented opportunities to bring local data into the classroom. However, while the resources are available, using on-line data presents a particular set of challenges. Access and entry to web sites frequently change and data format can be unpredictable. Often, instructors are faced with non-functional web sites on the day, or week, that they plan to assign a given activity. The American Geological Institute, with the participation of numerous geoscience professors, has developed EarthInquiry, a series of activities that utilize the abundant real-time and archived geoscience data available on-line. These modules are developed primarily for introductory college students. EarthInquiry modules follow a structured format, beginning with familiar examples at the global and national level to introduce students to the on-line data and the EarthInquiry web site. The web site offers detailed and up-to-date instructions on how to access the data, cached copies of sample data that can be used to complete each activity in the event of a network outage, and an assessment activity that helps students determine how well they have achieved an understanding of key concepts. The EarthInquiry booklet contains a series of engaging questions that allow students to solve problems in a scientific manner. As students gain content understanding and confidence in the requisite analysis, they examine the presented material at a more local level. In one activity, students explore the recurrence interval of a local stream. In other activities, they investigate the mineral resources and earthquake histories of their state. All modules are developed with the intent of building an appropriate cognitive foundation, while complimenting the topics typically discussed in an introductory physical or environmental geology course. The project is a collaboration of the American Geological Institute and W.H. Freeman and Company Publishers.

Epistemic Processing When Adolescents Read Online: A Verbal Protocol Analysis of More And Less Successful Online Readers

ERIC Educational Resources Information Center

Cho, Byeong-Young; Woodward, Lindsay; Li, Dan

2018-01-01

This study examines how the beliefs that adolescent readers hold about knowledge and knowing are activated during online reading. The research questions center on the pattern of these readers' epistemic processes through which more or less productive learning occurs. High school students performed a critical online reading task on a controversial…

How Do Students Define Their Roles and Responsibilities in Online Learning Group Projects?

ERIC Educational Resources Information Center

Williams, Karen C.; Morgan, Kari; Cameron, Bruce A.

2011-01-01

The goal of this study was to explore the processes of group role formation in online class settings. Qualitative analysis was used to code chat logs and discussion threads in six undergraduate Family and Consumer Sciences online courses that required online group projects. Four themes related to the process of group role formation emerged:…

A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities

ERIC Educational Resources Information Center

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

2017-01-01

Massive Open Online Courses and e-learning represent the future of the teaching-learning processes through the development of Information and Communication Technologies. They are the response to the new education needs of society. However, this future also presents many challenges such as the processing of online forums when a huge number of…

The Process and Experience of Online Group Counseling for Masters-Level Counseling Students

ERIC Educational Resources Information Center

Lopresti, Jason Michael

2010-01-01

The present study explored the process and experience of online group counseling using a text-based synchronous program, particularly addressing how the process compares to face-to-face group counseling. Six students in a masters-level group counseling class voluntarily chose to participate for eight sixty minute online sessions on a weekly basis,…

"I Had to Live, Breathe, and Write My Character": Character Selection and Student Engagement in an Online Role-Play Simulation

ERIC Educational Resources Information Center

Rector-Aranda, Amy; Raider-Roth, Miriam; Glaser, Noah; Behrman, Matthew

2017-01-01

This study explores the relationship between character selection and student engagement in the Jewish Court of All Time (JCAT), an online and classroom-based role-playing simulation of a current events court case with Jewish historical roots. Analyzing students' responses to three questions posed in an out-of-character JCAT discussion forum, we…

Experiences of Undergraduate Mothers in Online Learning: A Distance Learning Case Study of Non-Completers

ERIC Educational Resources Information Center

Werth, Loredana

2010-01-01

Adults seek out learning experiences in order to adapt to specific life-changing events such as marriage, divorce, a new job, a promotion, being laid off, retiring, losing a loved one, or moving to a new city (Yopp, 2007; Zemke & Zemke, 1984). It has been suggested that student retention is one of the greatest weaknesses of online education (Allen…

Retrieval as a Fast Route to Memory Consolidation.

PubMed

Antony, James W; Ferreira, Catarina S; Norman, Kenneth A; Wimber, Maria

2017-08-01

Retrieval-mediated learning is a powerful way to make memories last, but its neurocognitive mechanisms remain unclear. We propose that retrieval acts as a rapid consolidation event, supporting the creation of adaptive hippocampal-neocortical representations via the 'online' reactivation of associative information. We describe parallels between online retrieval and offline consolidation and offer testable predictions for future research. Copyright © 2017 Elsevier Ltd. All rights reserved.

Risk Factors and Prevention

MedlinePlus

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Event-Related Potentials Index Segmentation of Nonsense Sounds

ERIC Educational Resources Information Center

Sanders, Lisa D.; Ameral, Victoria; Sayles, Kathryn

2009-01-01

To understand the world around us, continuous streams of information including speech must be segmented into units that can be mapped onto stored representations. Recent evidence has shown that event-related potentials (ERPs) can index the online segmentation of sound streams. In the current study, listeners were trained to recognize sequences of…

Constructing Data Albums for Significant Severe Weather Events

NASA Technical Reports Server (NTRS)

Greene, Ethan; Zavodsky, Bradley; Ramachandran, Rahul; Kulkarni, Ajinkya; Li, Xiang; Bakare, Rohan; Basyal, Sabin; Conover, Helen

2014-01-01

Data Albums provide a one-stop-shop combining datasets from NASA, NWS, online new sources, and social media. Data Albums will help meteorologists better understand severe weather events to improve predictive models. Developed a new ontology for severe weather based off current hurricane Data Album and selected relevant NASA datasets for inclusion.

Racist Facebook Event against Native Americans: Preservice Teachers Explore Ethical and Critical Multicultural Implications

ERIC Educational Resources Information Center

Aragon, Antonette; Kaminski, Karen

2012-01-01

This exploratory case study sought to analyze data from Collaborative Learning Modalities (Brantmeier, Aragon & Folkestad, 2011) on-line threaded discussions in a teacher education course where pre-service teachers examined the nature of a Facebook event revealing unethical and racist notions against Native Americans. In 2010 a university…

Early Memories of Individuals on the Autism Spectrum Assessed Using Online Self-Reports

PubMed Central

Zamoscik, Vera; Mier, Daniela; Schmidt, Stephanie N. L.; Kirsch, Peter

2016-01-01

“When I was one and a half years old, I was on a ferry lying on red seats” – while several autobiographical accounts by people with autism reveal vivid memories of early childhood, the vast amount of experimental investigations found deficits in personal autobiographic memory in autism. To assess this contradiction empirically, we implemented an online questionnaire on early childhood events to compare people on the autism spectrum (AS) and non-autistic people with respect to their earliest autobiographical episodic memories and the earliest semantic know event as told by another person. Results indicate that people on the AS do not differ from non-autistic people in the age of their earliest know events but remember events from an earlier age in childhood and with more sensory details, contradicting the assumption of an overall deficit in personal episodic memory in autism. Furthermore, our results emphasize the supporting influence of language for memory formation and give evidence for an important role of sensory features in memories of people on the AS. PMID:27199786

The potential dual use of online pharmacies.

PubMed

Letkiewicz, Sławomir; Górski, Andrzej

2010-03-01

The technological advances of the 20th century resulted in the creation of the Internet and its introduction into everyday life on a global scale. The Internet provides access to information and the sale and purchase of goods. Medications are also subject to trade. Their sale is conducted by online pharmacies and their global turnover amounts to hundreds of billions of dollars. Medications ordered over the Internet are sent by mail all over the world. Considering the events of recent years, we cannot exclude the risk of a terrorist attack through online pharmacies. Terrorists can establish such companies, legally or illegally, or acquire ones already existing. Parcels, which are highly trusted by the customers of online pharmacies, can, for example, be contaminated with dangerous materials. The sale of online medications in the international system is potentially dangerous and requires international regulation.

Muon g-2 Reconstruction and Analysis Framework for the Muon Anomalous Precession Frequency

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

Khaw, Kim Siang

The Muon g-2 experiment at Fermilab, with the aim to measure the muon anomalous magnetic moment to an unprecedented level of 140~ppb, has started beam and detector commissioning in Summer 2017. To deal with incoming data projected to be around tens of petabytes, a robust data reconstruction and analysis chain based on Fermilab's \\textit{art} event-processing framework is developed. Herein, I report the current status of the framework, together with its novel features such as multi-threaded algorithms for online data quality monitor (DQM) and fast-turnaround operation (nearline). Performance of the framework during the commissioning run is also discussed.

Implications of process characteristics on quality-related event reporting in community pharmacy.

PubMed

Boyle, Todd A; Scobie, Andrea C; MacKinnon, Neil J; Mahaffey, Thomas

2012-01-01

The lack of a single pharmacy regulator in Canada has led to a wide variety of processes for reporting and learning from medication errors and near misses, collectively known as quality-related events (QREs). These processes range from completely informal processes, through to primarily manual processes that rely on paper forms and incident reports stored in a binder, all the way to fully computerized processes such as anonymous online reporting to a national database. The objective of the study was to develop and test a model of the influence of various QRE reporting process characteristics on levels of QRE reporting process support and QRE reporting in Canadian community pharmacies. A questionnaire was administered to 427 pharmacy managers, pharmacists, and technicians in Nova Scotia, Canada, in 2010, with 210 questionnaires returned. Partial least squares was performed on a subgroup of the data set (N=121) to test and refine the model. Content analysis of the open-ended data provided additional support for model variables. The final model retained all proposed variables except for anonymous reporting. The model highlights that process ease and learning capability both greatly influence the overall support for the QRE process; with these 2 variables explaining 62% of the variance in QRE process support and QRE process support explaining 34% of the variance in overall levels of QRE reporting. The findings have implications for the creation and implementation of successful QRE reporting processes in community pharmacies. Implementing effective QRE reporting tools is paramount to ensuring that pharmacies report and learn from QREs. Dynamic QRE reporting tools that are modern, up to date, integrated into workflow, easy to use, and quick have been shown to be the most effective. Copyright © 2012 Elsevier Inc. All rights reserved.

A GIS-based 3D online information system for underground energy storage in northern Germany

NASA Astrophysics Data System (ADS)

Nolde, Michael; Malte, Schwanebeck; Ehsan, Biniyaz; Rainer, Duttmann

2015-04-01

We would like to present the concept and current state of development of a GIS-based 3D online information system for underground energy storage. Its aim is to support the local authorities through pre-selection of possible sites for thermal, electrical and substantial underground energy storages. Since the extension of renewable energies has become legal requirement in Germany, the underground storing of superfluously produced green energy (such as during a heavy wind event) in the form of compressed air, gas or heated water has become increasingly important. However, the selection of suitable sites is a complex task. The presented information system uses data of geological features such as rock layers, salt domes and faults enriched with attribute data such as rock porosity and permeability. This information is combined with surface data of the existing energy infrastructure, such as locations of wind and biogas stations, powerline arrangement and cable capacity, and energy distribution stations. Furthermore, legal obligations such as protected areas on the surface and current underground mining permissions are used for the process of pre-selecting sites suitable for energy storage. Not only the current situation but also prospective scenarios, such as expected growth in produced amount of energy are incorporated in the system. While the process of pre-selection itself is completely automated, the user has full control of the weighting of the different factors via the web interface. The system is implemented as an online 3D server GIS environment, so that it can easily be utilized in any web browser. The results are visualized online as interactive 3d graphics. The information system is implemented in the Python programming language in combination with current Web standards, and is build using only free and open source software. It is being developed at Kiel University as part of the ANGUS+ project (lead by Prof. Sebastian Bauer) for the federal state of Schleswig-Holstein in northern Germany.

GRBOX: A New Online Catalog of GRBs

NASA Astrophysics Data System (ADS)

Perley, Daniel; Kemper, Yvonne

2008-05-01

With Swift detecting close to 100 new gamma-ray bursts each year, cataloging past bursts is more important than ever. To this end, we present a new online database (GRBOX: Gamma Ray Burst Online IndeX) indexing properties of every well-localized GRB since 1997. Unlike existing resources, the information in the catalog is presented to the user in the form of a sortable, filterable table and derives information for each burst from published catalogs as well as the GCN circulars and refereed publications. Short text summaries and links to other resources are also provided for every event.

Developing a disease outbreak event corpus.

PubMed

Conway, Mike; Kawazoe, Ai; Chanlekha, Hutchatai; Collier, Nigel

2010-09-28

In recent years, there has been a growth in work on the use of information extraction technologies for tracking disease outbreaks from online news texts, yet publicly available evaluation standards (and associated resources) for this new area of research have been noticeably lacking. This study seeks to create a "gold standard" data set against which to test how accurately disease outbreak information extraction systems can identify the semantics of disease outbreak events. Additionally, we hope that the provision of an annotation scheme (and associated corpus) to the community will encourage open evaluation in this new and growing application area. We developed an annotation scheme for identifying infectious disease outbreak events in news texts. An event--in the context of our annotation scheme--consists minimally of geographical (eg, country and province) and disease name information. However, the scheme also allows for the rich encoding of other domain salient concepts (eg, international travel, species, and food contamination). The work resulted in a 200-document corpus of event-annotated disease outbreak reports that can be used to evaluate the accuracy of event detection algorithms (in this case, for the BioCaster biosurveillance online news information extraction system). In the 200 documents, 394 distinct events were identified (mean 1.97 events per document, range 0-25 events per document). We also provide a download script and graphical user interface (GUI)-based event browsing software to facilitate corpus exploration. In summary, we present an annotation scheme and corpus that can be used in the evaluation of disease outbreak event extraction algorithms. The annotation scheme and corpus were designed both with the particular evaluation requirements of the BioCaster system in mind as well as the wider need for further evaluation resources in this growing research area.

Neural correlate of the construction of sentence meaning

PubMed Central

Fedorenko, Evelina; Brunner, Peter; Pritchett, Brianna; Kanwisher, Nancy

2016-01-01

The neural processes that underlie your ability to read and understand this sentence are unknown. Sentence comprehension occurs very rapidly, and can only be understood at a mechanistic level by discovering the precise sequence of underlying computational and neural events. However, we have no continuous and online neural measure of sentence processing with high spatial and temporal resolution. Here we report just such a measure: intracranial recordings from the surface of the human brain show that neural activity, indexed by γ-power, increases monotonically over the course of a sentence as people read it. This steady increase in activity is absent when people read and remember nonword-lists, despite the higher cognitive demand entailed, ruling out accounts in terms of generic attention, working memory, and cognitive load. Response increases are lower for sentence structure without meaning (“Jabberwocky” sentences) and word meaning without sentence structure (word-lists), showing that this effect is not explained by responses to syntax or word meaning alone. Instead, the full effect is found only for sentences, implicating compositional processes of sentence understanding, a striking and unique feature of human language not shared with animal communication systems. This work opens up new avenues for investigating the sequence of neural events that underlie the construction of linguistic meaning. PMID:27671642

Design Process for Online Websites Created for Teaching Turkish as a Foreign Language in Web Based Environments

ERIC Educational Resources Information Center

Türker, Fatih Mehmet

2016-01-01

In today's world, where online learning environments have increased their efficiency in education and training, the design of the websites prepared for education and training purposes has become an important process. This study is about the teaching process of the online learning environments created to teach Turkish in web based environments, and…

On-Line Ion Exchange Liquid Chromatography as a Process Analytical Technology for Monoclonal Antibody Characterization in Continuous Bioprocessing.

PubMed

Patel, Bhumit A; Pinto, Nuno D S; Gospodarek, Adrian; Kilgore, Bruce; Goswami, Kudrat; Napoli, William N; Desai, Jayesh; Heo, Jun H; Panzera, Dominick; Pollard, David; Richardson, Daisy; Brower, Mark; Richardson, Douglas D

2017-11-07

Combining process analytical technology (PAT) with continuous production provides a powerful tool to observe and control monoclonal antibody (mAb) fermentation and purification processes. This work demonstrates on-line liquid chromatography (on-line LC) as a PAT tool for monitoring a continuous biologics process and forced degradation studies. Specifically, this work focused on ion exchange chromatography (IEX), which is a critical separation technique to detect charge variants. Product-related impurities, including charge variants, that impact function are classified as critical quality attributes (CQAs). First, we confirmed no significant differences were observed in the charge heterogeneity profile of a mAb through both at-line and on-line sampling and that the on-line method has the ability to rapidly detect changes in protein quality over time. The robustness and versatility of the PAT methods were tested by sampling from two purification locations in a continuous mAb process. The PAT IEX methods used with on-line LC were a weak cation exchange (WCX) separation and a newly developed shorter strong cation exchange (SCX) assay. Both methods provided similar results with the distribution of percent acidic, main, and basic species remaining unchanged over a 2 week period. Second, a forced degradation study showed an increase in acidic species and a decrease in basic species when sampled on-line over 7 days. These applications further strengthen the use of on-line LC to monitor CQAs of a mAb continuously with various PAT IEX analytical methods. Implementation of on-line IEX will enable faster decision making during process development and could potentially be applied to control in biomanufacturing.

A goal bias in action: The boundaries adults perceive in events align with sites of actor intent.

PubMed

Levine, Dani; Hirsh-Pasek, Kathy; Pace, Amy; Michnick Golinkoff, Roberta

2017-06-01

We live in a dynamic world comprised of continuous events. Remembering our past and predicting future events, however, requires that we segment these ongoing streams of information in a consistent manner. How is this segmentation achieved? This research examines whether the boundaries adults perceive in events, such as the Olympic figure skating routine used in these studies, align with the beginnings (sources) and endings (goals) of human goal-directed actions. Study 1 showed that a group of experts, given an explicit task with unlimited time to rewatch the event, identified the same subevents as one another, but with greater agreement as to the timing of goals than sources. In Study 2, experts, novices familiarized with the figure skating sequence, and unfamiliarized novices performed an online event segmentation task, marking boundaries as the video progressed in real time. The online boundaries of all groups corresponded with the sources and goals offered by Study 1's experts, with greater alignment of goals than sources. Additionally, expertise, but not mere perceptual familiarity, boosted the alignment of sources and goals. Finally, Study 3, which presented novices with the video played in reverse, indicated, unexpectedly, that even when spatiotemporal cues were disrupted, viewers' perceived event boundaries still aligned with their perception of the actors' intended sources and goals. This research extends the goal bias to event segmentation, and suggests that our spontaneous sensitivity toward goals may allow us to transform even relatively complex and unfamiliar event streams into structured and meaningful representations. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

The AMchip04 and the processing unit prototype for the FastTracker

NASA Astrophysics Data System (ADS)

Andreani, A.; Annovi, A.; Beretta, M.; Bogdan, M.; Citterio, M.; Alberti, F.; Giannetti, P.; Lanza, A.; Magalotti, D.; Piendibene, M.; Shochet, M.; Stabile, A.; Tang, J.; Tompkins, L.; Volpi, G.

2012-08-01

Modern experiments search for extremely rare processes hidden in much larger background levels. As the experiment`s complexity, the accelerator backgrounds and luminosity increase we need increasingly complex and exclusive event selection. We present the first prototype of a new Processing Unit (PU), the core of the FastTracker processor (FTK). FTK is a real time tracking device for the ATLAS experiment`s trigger upgrade. The computing power of the PU is such that a few hundred of them will be able to reconstruct all the tracks with transverse momentum above 1 GeV/c in ATLAS events up to Phase II instantaneous luminosities (3 × 1034 cm-2 s-1) with an event input rate of 100 kHz and a latency below a hundred microseconds. The PU provides massive computing power to minimize the online execution time of complex tracking algorithms. The time consuming pattern recognition problem, generally referred to as the ``combinatorial challenge'', is solved by the Associative Memory (AM) technology exploiting parallelism to the maximum extent; it compares the event to all pre-calculated ``expectations'' or ``patterns'' (pattern matching) simultaneously, looking for candidate tracks called ``roads''. This approach reduces to a linear behavior the typical exponential complexity of the CPU based algorithms. Pattern recognition is completed by the time data are loaded into the AM devices. We report on the design of the first Processing Unit prototypes. The design had to address the most challenging aspects of this technology: a huge number of detector clusters (``hits'') must be distributed at high rate with very large fan-out to all patterns (10 Million patterns will be located on 128 chips placed on a single board) and a huge number of roads must be collected and sent back to the FTK post-pattern-recognition functions. A network of high speed serial links is used to solve the data distribution problem.

A neural network device for on-line particle identification in cosmic ray experiments

NASA Astrophysics Data System (ADS)

Scrimaglio, R.; Finetti, N.; D'Altorio, L.; Rantucci, E.; Raso, M.; Segreto, E.; Tassoni, A.; Cardarilli, G. C.

2004-05-01

On-line particle identification is one of the main goals of many experiments in space both for rare event studies and for optimizing measurements along the orbital trajectory. Neural networks can be a useful tool for signal processing and real time data analysis in such experiments. In this document we report on the performances of a programmable neural device which was developed in VLSI analog/digital technology. Neurons and synapses were accomplished by making use of Operational Transconductance Amplifier (OTA) structures. In this paper we report on the results of measurements performed in order to verify the agreement of the characteristic curves of each elementary cell with simulations and on the device performances obtained by implementing simple neural structures on the VLSI chip. A feed-forward neural network (Multi-Layer Perceptron, MLP) was implemented on the VLSI chip and trained to identify particles by processing the signals of two-dimensional position-sensitive Si detectors. The radiation monitoring device consisted of three double-sided silicon strip detectors. From the analysis of a set of simulated data it was found that the MLP implemented on the neural device gave results comparable with those obtained with the standard method of analysis confirming that the implemented neural network could be employed for real time particle identification.

Social Media as Seismic Networks for the Earthquake Damage Assessment

NASA Astrophysics Data System (ADS)

Meletti, C.; Cresci, S.; La Polla, M. N.; Marchetti, A.; Tesconi, M.

2014-12-01

The growing popularity of online platforms, based on user-generated content, is gradually creating a digital world that mirrors the physical world. In the paradigm of crowdsensing, the crowd becomes a distributed network of sensors that allows us to understand real life events at a quasi-real-time rate. The SoS-Social Sensing project [http://socialsensing.it/] exploits the opportunistic crowdsensing, involving users in the sensing process in a minimal way, for social media emergency management purposes in order to obtain a very fast, but still reliable, detection of emergency dimension to face. First of all we designed and implemented a decision support system for the detection and the damage assessment of earthquakes. Our system exploits the messages shared in real-time on Twitter. In the detection phase, data mining and natural language processing techniques are firstly adopted to select meaningful and comprehensive sets of tweets. Then we applied a burst detection algorithm in order to promptly identify outbreaking seismic events. Using georeferenced tweets and reported locality names, a rough epicentral determination is also possible. The results, compared to Italian INGV official reports, show that the system is able to detect, within seconds, events of a magnitude in the region of 3.5 with a precision of 75% and a recall of 81,82%. We then focused our attention on damage assessment phase. We investigated the possibility to exploit social media data to estimate earthquake intensity. We designed a set of predictive linear models and evaluated their ability to map the intensity of worldwide earthquakes. The models build on a dataset of almost 5 million tweets exploited to compute our earthquake features, and more than 7,000 globally distributed earthquakes data, acquired in a semi-automatic way from USGS, serving as ground truth. We extracted 45 distinct features falling into four categories: profile, tweet, time and linguistic. We run diagnostic tests and simulations on generated models to assess their significance and avoid overfitting. Overall results show a correlation between the messages shared in social media and intensity estimations based on online survey data (CDI).

On-line tritium production monitor

DOEpatents

Mihalczo, John T.

1993-01-01

A scintillation optical fiber system for the on-line monitoring of nuclear reactions in an event-by-event manner is described. In the measurement of tritium production one or more optical fibers are coated with enriched .sup.6 Li and connected to standard scintillation counter circuitry. A neutron generated .sup.6 Li(n )T reaction occurs in the coated surface of .sup.6 Li-coated fiber to produce energetic alpha and triton particles one of which enters the optical fiber and scintillates light through the fiber to the counting circuit. The coated optical fibers can be provided with position sensitivity by placing a mirror at the free end of the fibers or by using pulse counting circuits at both ends of the fibers.

On-line tritium production monitor

DOEpatents

Mihalczo, J.T.

1993-11-23

A scintillation optical fiber system for the on-line monitoring of nuclear reactions in an event-by-event manner is described. In the measurement of tritium production one or more optical fibers are coated with enriched {sup 6}Li and connected to standard scintillation counter circuitry. A neutron generated {sup 6}Li(n)T reaction occurs in the coated surface of {sup 6}Li-coated fiber to produce energetic alpha and triton particles one of which enters the optical fiber and scintillates light through the fiber to the counting circuit. The coated optical fibers can be provided with position sensitivity by placing a mirror at the free end of the fibers or by using pulse counting circuits at both ends of the fibers. 5 figures.

Historical hydrology and database on flood events (Apulia, southern Italy)

NASA Astrophysics Data System (ADS)

Lonigro, Teresa; Basso, Alessia; Gentile, Francesco; Polemio, Maurizio

2014-05-01

Historical data about floods represent an important tool for the comprehension of the hydrological processes, the estimation of hazard scenarios as a basis for Civil Protection purposes, as a basis of the rational land use management, especially in karstic areas, where time series of river flows are not available and the river drainage is rare. The research shows the importance of the improvement of existing flood database with an historical approach, finalized to collect past or historical floods event, in order to better assess the occurrence trend of floods, in the case for the Apulian region (south Italy). The main source of records of flood events for Apulia was the AVI (the acronym means Italian damaged areas) database, an existing Italian database that collects data concerning damaging floods from 1918 to 1996. The database was expanded consulting newspapers, publications, and technical reports from 1996 to 2006. In order to expand the temporal range further data were collected searching in the archives of regional libraries. About 700 useful news from 17 different local newspapers were found from 1876 to 1951. From a critical analysis of the 700 news collected since 1876 to 1952 only 437 were useful for the implementation of the Apulia database. The screening of these news showed the occurrence of about 122 flood events in the entire region. The district of Bari, the regional main town, represents the area in which the great number of events occurred; the historical analysis confirms this area as flood-prone. There is an overlapping period (from 1918 to 1952) between old AVI database and new historical dataset obtained by newspapers. With regard to this period, the historical research has highlighted new flood events not reported in the existing AVI database and it also allowed to add more details to the events already recorded. This study shows that the database is a dynamic instrument, which allows a continuous implementation of data, even in real time. More details on previous results of this research activity were recently published (Polemio, 2010; Basso et al., 2012; Lonigro et al., 2013) References Basso A., Lonigro T. and Polemio M. (2012) "The improvement of historical database on damaging hydrogeological events in the case of Apulia (Southern Italy)". Rendiconti online della Società Geologica Italiana, 21: 379-380; Lonigro T., Basso A. and Polemio M. (2013) "Historical database on damaging hydrogeological events in Apulia region (Southern Italy)". Rendiconti online della Società Geologica Italiana, 24: 196-198; Polemio M. (2010) "Historical floods and a recent extreme rainfall event in the Murgia karstic environment (Southern Italy)". Zeitschrift für Geomorphologie, 54(2): 195-219.

How I Became a Convert to Online Learning

ERIC Educational Resources Information Center

Kremer, Nick

2011-01-01

This article describes how the author's skepticism about online education turns into belief when he teaches his own online course. Throughout the process of designing and facilitating his online course, he found himself slowly evolving from critic to champion of online education. Here, he shares the benefits of online learning.

Mentoring and Student Support in Online Doctoral Programs

ERIC Educational Resources Information Center

Kumar, Swapna; Coe, Catherine

2017-01-01

The increase in online graduate programs and the online mentoring of student research have led to the need to identify challenges faced by online mentees and successful strategies used by online mentors during the dissertation process. Based on semistructured interviews with ten graduates, strategies for online mentoring and areas of support…

SEIR Model of Rumor Spreading in Online Social Network with Varying Total Population Size

NASA Astrophysics Data System (ADS)

Dong, Suyalatu; Deng, Yan-Bin; Huang, Yong-Chang

2017-10-01

Based on the infectious disease model with disease latency, this paper proposes a new model for the rumor spreading process in online social network. In this paper what we establish an SEIR rumor spreading model to describe the online social network with varying total number of users and user deactivation rate. We calculate the exact equilibrium points and reproduction number for this model. Furthermore, we perform the rumor spreading process in the online social network with increasing population size based on the original real world Facebook network. The simulation results indicate that the SEIR model of rumor spreading in online social network with changing total number of users can accurately reveal the inherent characteristics of rumor spreading process in online social network. Supported by National Natural Science Foundation of China under Grant Nos. 11275017 and 11173028

Exploiting Social Media for Army Operations: Syrian Civil War Use Case

DTIC Science & Technology

2014-07-01

language translation and intercultural communication . Local expertise goes beyond language and cultural gaps though, in that it provides a naturalistic way...security and counter-terrorism. The information exchanged in SM sites and the networks of people who interact with these online communities can provide...the networks of people who interact with these online communities can provide insights into ongoing events. For example, SM could provide ongoing

[Applications and prospects of on-line near infrared spectroscopy technology in manufacturing of Chinese materia medica].

PubMed

Li, Yang; Wu, Zhi-Sheng; Pan, Xiao-Ning; Shi, Xin-Yuan; Guo, Ming-Ye; Xu, Bing; Qiao, Yan-Jiang

2014-10-01

The quality of Chinese materia medica (CMM) is affected by every process in CMM manufacturing. According to multi-unit complex features in the production of CMM, on-line near infrared spectroscopy (NIR) is used as an evaluating technology with its rapid, non-destructive and non-pollution etc. advantages. With the research in institutions, the on-line NIR applied in process analysis and control of CMM was described systematically, and the on-line NIR platform building was used as an example to clarify the feasibility of on-line NIR technology in CMM manufacturing process. Then, from the point of application by pharmaceutical companies, the current on-line NIR research on CMM and its production in pharmaceutical companies was relatively comprehensively summarized. Meanwhile, the types of CMM productions were classified in accordance with two formulations (liquid and solid dosage formulations). The different production processes (extraction, concentration and alcohol precipitation, etc. ) were used as liquid formulation diacritical points; the different types (tablets, capsules and plasters, etc.) were used as solid dosage formulation diacritical points, and the reliability of on-line NIR used in the whole process in CMM production was proved in according to the summary of literatures in recent 10 years, which could support the modernization of CMM production.

IRQN award paper: Operational rounds: a practical administrative process to improve safety and clinical services in radiology.

PubMed

Donnelly, Lane F; Dickerson, Julie M; Lehkamp, Todd W; Gessner, Kevin E; Moskovitz, Jay; Hutchinson, Sally

2008-11-01

As part of a patient safety program in the authors' department of radiology, operational rounds have been instituted. This process consists of radiology leaders' visiting imaging divisions at the site of imaging and discussing frontline employees' concerns about patient safety, the quality of care, and patient and family satisfaction. Operational rounds are executed at a time to optimize the number of attendees. Minutes that describe the issues identified, persons responsible for improvement, and updated improvement plan status are available to employees online. Via this process, multiple patient safety and other issues have been identified and remedied. The authors believe that the process has improved patient safety, the quality of care, and the efficiency of operations. Since the inception of the safety program, the mean number of days between serious safety events involving radiology has doubled. The authors review the background around such walk rounds, describe their particular program, and give multiple illustrative examples of issues identified and improvement plans put in place.

Researching Applicants Online in the Veterinary Program Admissions Process: Perceptions, Practices, and Implications for Curricular Change.

PubMed

Kogan, Lori R; Hellyer, Peter W; Stewart, Sherry M; Hendrickson, Dean A; Dowers, Kristy L; Schoenfeld-Tacher, Regina

2015-01-01

As the use of social media websites continues to grow among adults 18-34 years old, it is necessary to examine the consequences of online disclosure to the veterinary admissions processes and to consider the effects on the professional integrity of veterinary schools and on the e-professionalism of DVM graduates. Prior research has shown that employers, across all fields, routinely use information from social media sites to make hiring decisions. In veterinary medicine, a little over one-third of private practitioners reported using online information in the selection of new associates. However, professional academic programs appear to use online information less frequently in the selection processes. The current study examines the behaviors and attitudes of veterinary medical admissions committees toward the use of applicants' online information and profiles in their recruitment and selection process. An online survey was distributed to Associate Deans for Academic Affairs at all AAVMC-affiliated schools of veterinary medicine. A total of 21 schools completed the survey. The results showed that most veterinary schools do not currently use online research in their admissions process; however, most admissions committee members feel that using online social networking information to investigate applicants is an acceptable use of technology. Previous research has suggested that the majority of veterinary student applicants view this as an invasion of their privacy. Given this discordance, future educational efforts should focus on helping veterinary students determine what type of information is appropriate for posting online and how to use privacy settings to control their sharing behaviors.

Demonstration of a Novel Synchrophasor-based Situational Awareness System: Wide Area Power System Visualization, On-line Event Replay and Early Warning of Grid Problems

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

Rosso, A.

Since the large North Eastern power system blackout on August 14, 2003, U.S. electric utilities have spent lot of effort on preventing power system cascading outages. Two of the main causes of the August 14, 2003 blackout were inadequate situational awareness and inadequate operator training In addition to the enhancements of the infrastructure of the interconnected power systems, more research and development of advanced power system applications are required for improving the wide-area security monitoring, operation and planning in order to prevent large- scale cascading outages of interconnected power systems. It is critically important for improving the wide-area situation awarenessmore » of the operators or operational engineers and regional reliability coordinators of large interconnected systems. With the installation of large number of phasor measurement units (PMU) and the related communication infrastructure, it will be possible to improve the operators’ situation awareness and to quickly identify the sequence of events during a large system disturbance for the post-event analysis using the real-time or historical synchrophasor data. The purpose of this project was to develop and demonstrate a novel synchrophasor-based comprehensive situational awareness system for control centers of power transmission systems. The developed system named WASA (Wide Area Situation Awareness) is intended to improve situational awareness at control centers of the power system operators and regional reliability coordinators. It consists of following main software modules: • Wide-area visualizations of real-time frequency, voltage, and phase angle measurements and their contour displays for security monitoring. • Online detection and location of a major event (location, time, size, and type, such as generator or line outage). • Near-real-time event replay (in seconds) after a major event occurs. • Early warning of potential wide-area stability problems. The system has been deployed and demonstrated at the Tennessee Valley Authority (TVA) and ISO New England system using real-time synchrophasor data from openPDC. Apart from the software product, the outcome of this project consists of a set of technical reports and papers describing the mathematical foundations and computational approaches of different tools and modules, implementation issues and considerations, lessons learned, and the results of lidation processes.« less

The Semantic Network Model of Creativity: Analysis of Online Social Media Data

ERIC Educational Resources Information Center

Yu, Feng; Peng, Theodore; Peng, Kaiping; Zheng, Sam Xianjun; Liu, Zhiyuan

2016-01-01

The central hypothesis of Semantic Network Model of Creativity is that creative people, who are exposed to more information that are both novel and useful, will have more interconnections between event schemas in their associations. The networks of event schemas in creative people's minds were expected to be wider and denser than those in less…

78 FR 31558 - Medicare Program; Second Semi-Annual Meeting of the Advisory Panel on Hospital Outpatient Payment...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-24

... will need to type ``CMS Public Events'' in the search bar to access the webcast. FOR FURTHER... register online, during the above specified timeframe at: https://www.cms.gov/apps/events/default.asp . On..., Auditorium, 7500 Security Boulevard, Woodlawn, Maryland 21244-1850. Alternately, the public may view this...

Understanding the Adoption of Ada: Results of an Industry Survey

DTIC Science & Technology

1990-05-01

the next event. Arrival of the data and occurrence of events is not under the control of the software. 7% Online software must respond within human...Better than Average 1 2 3 4 5 6 7 D/K N/A SEI-90-SR-10 47 ,L Section C. CompetItors and the Maret for (APPLICATION AREA

16 CFR 312.12 - Voluntary Commission Approval Processes.

Code of Federal Regulations, 2014 CFR

2014-01-01

... CONGRESS CHILDREN'S ONLINE PRIVACY PROTECTION RULE § 312.12 Voluntary Commission Approval Processes. (a...; and (b) Support for internal operations of the Web site or online service. An interested party may... potential effects on children's online privacy. The request shall be filed with the Commission's Office of...

Observing Consistency in Online Communication Patterns for User Re-Identification.

PubMed

Adeyemi, Ikuesan Richard; Razak, Shukor Abd; Salleh, Mazleena; Venter, Hein S

2016-01-01

Comprehension of the statistical and structural mechanisms governing human dynamics in online interaction plays a pivotal role in online user identification, online profile development, and recommender systems. However, building a characteristic model of human dynamics on the Internet involves a complete analysis of the variations in human activity patterns, which is a complex process. This complexity is inherent in human dynamics and has not been extensively studied to reveal the structural composition of human behavior. A typical method of anatomizing such a complex system is viewing all independent interconnectivity that constitutes the complexity. An examination of the various dimensions of human communication pattern in online interactions is presented in this paper. The study employed reliable server-side web data from 31 known users to explore characteristics of human-driven communications. Various machine-learning techniques were explored. The results revealed that each individual exhibited a relatively consistent, unique behavioral signature and that the logistic regression model and model tree can be used to accurately distinguish online users. These results are applicable to one-to-one online user identification processes, insider misuse investigation processes, and online profiling in various areas.

Evaluation of an online bioterrorism continuing medical education course.

PubMed

Casebeer, Linda; Andolsek, Kathryn; Abdolrasulnia, Maziar; Green, Joseph; Weissman, Norman; Pryor, Erica; Zheng, Shimin; Terndrup, Thomas

2006-01-01

Much of the international community has an increased awareness of potential biologic, chemical, and nuclear threats and the need for physicians to rapidly acquire new knowledge and skills in order to protect the public's health. The present study evaluated the educational effectiveness of an online bioterrorism continuing medical education (CME) activity designed to address clinical issues involving suspected bioterrorism and reporting procedures in the United States. This was a retrospective survey of physicians who had completed an online CME activity on bioterrorism compared with a nonparticipant group who had completed at least 1 unrelated online CME course from the same medical school Web site and were matched on similar characteristics. An online survey instrument was developed to assess clinical and systems knowledge and confidence in recognition of illnesses associated with a potential bioterrorism attack. A power calculation indicated that a sample size of 100 (50 in each group) would achieve 90% power to detect a 10% to 15% difference in test scores between the two groups. Compared with nonparticipant physicians, participants correctly diagnosed anthrax (p = .01) and viral exanthem (p = .01), but not smallpox, more frequently than nonparticipants. Participants knew more frequently than nonparticipants who to contact regarding a potential bioterrorism event (p = .03) Participants were more confident than nonparticipants about finding information to guide diagnoses of patients with biologic exposure (p = .01), chemical exposure (p = .02), and radiation exposure (p = .04). An online bioterrorism course shows promise as an educational intervention in preparing physicians to better diagnose emerging rare infections, including those that may be associated with a bioterrorist event, in increasing confidence in diagnosing these infections, and in reporting of such infections for practicing physicians.

Soft real-time alarm messages for ATLAS TDAQ

NASA Astrophysics Data System (ADS)

Darlea, G.; Al Shabibi, A.; Martin, B.; Lehmann Miotto, G.

2010-05-01

The ATLAS TDAQ network consists of three separate Ethernet-based networks (Data, Control and Management) with over 2000 end-nodes. The TDAQ system has to be aware of the meaningful network failures and events in order for it to take effective recovery actions. The first stage of the process is implemented with Spectrum, a commercial network management tool. Spectrum detects and registers all network events, then it publishes the information via a CORBA programming interface. A gateway program (called NSG—Network Service Gateway) connects to Spectrum through CORBA and exposes to its clients a Java RMI interface. This interface implements a callback mechanism that allows the clients to subscribe for monitoring "interesting" parts of the network. The last stage of the TDAQ network monitoring tool is implemented in a module named DNC (DAQ to Network Connection), which filters the events that are to be reported to the TDAQ system: it subscribes to the gateway only for the machines that are currently active in the system and it forwards only the alarms that are considered important for the current TDAQ data taking session. The network information is then synthesized and presented in a human-readable format. These messages can be further processed either by the shifter who is in charge, the network expert or the Online Expert System. This article aims to describe the different mechanisms of the chain that transports the network events to the front-end user, as well as the constraints and rules that govern the filtering and the final format of the alarm messages.

Computer aided statistical process control for on-line instrumentation

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

Meils, D.E.

1995-01-01

On-line chemical process instrumentation historically has been used for trending. Recent technological advances in on-line instrumentation have improved the accuracy and reliability of on-line instrumentation. However, little attention has been given to validating and verifying on-line instrumentation. This paper presents two practical approaches for validating instrument performance by comparison of on-line instrument response to either another portable instrument or another bench instrument. Because the comparison of two instruments` performance to each other requires somewhat complex statistical calculations, a computer code (Lab Stats Pack{reg_sign}) is used to simplify the calculations. Lab Stats Pack{reg_sign} also develops control charts that may be usedmore » for continuous verification of on-line instrument performance.« less

Best Practices in the Evaluation of Large-scale STEM-focused Events: A Review of Recent Literature

NASA Astrophysics Data System (ADS)

Shebby, S.; Cobb, W. H.; Buxner, S.; Shipp, S. S.

2015-12-01

Each year, the National Aeronautics and Space Administration (NASA) sponsors a variety of educational events to share information with educators, students, and the general public. Intended outcomes of these events include increased interest in and awareness of the mission and goals of NASA. Events range in size from relatively small family science nights at a local school to large-scale mission and celestial event celebrations involving thousands of members of the general public. To support community members in designing event evaluations, the Science Mission Directorate (SMD) Planetary Science Forum sponsored the creation of a Best Practices Guide. The guide was generated by reviewing published large-scale event evaluation reports; however, the best practices described within are pertinent for all event organizers and evaluators regardless of event size. Each source included in the guide identified numerous challenges to conducting their event evaluation. These included difficulty in identifying extant instruments or items, collecting representative data, and disaggregating data to inform different evaluation questions. Overall, the guide demonstrates that evaluations of the large-scale events are generally done at a very basic level, with the types of data collected limited to observable demographic information and participant reactions collected via online survey. In addition to these findings, this presentation will describe evaluation best practices that will help practitioners move beyond these basic indicators and examine how to make the evaluation process an integral—and valuable—element of event planning, ultimately informing event outcomes and impacts. It will provide detailed information on five recommendations presented in the guide: 1) consider evaluation methodology, including data analysis, in advance; 2) design data collection instruments well in advance of the event; 3) collect data at different times and from multiple sources; 4) use technology to make the job easier; and 5) be aware of how challenging it is to measure impact.

Toward real-time regional earthquake simulation II: Real-time Online earthquake Simulation (ROS) of Taiwan earthquakes

NASA Astrophysics Data System (ADS)

Lee, Shiann-Jong; Liu, Qinya; Tromp, Jeroen; Komatitsch, Dimitri; Liang, Wen-Tzong; Huang, Bor-Shouh

2014-06-01

We developed a Real-time Online earthquake Simulation system (ROS) to simulate regional earthquakes in Taiwan. The ROS uses a centroid moment tensor solution of seismic events from a Real-time Moment Tensor monitoring system (RMT), which provides all the point source parameters including the event origin time, hypocentral location, moment magnitude and focal mechanism within 2 min after the occurrence of an earthquake. Then, all of the source parameters are automatically forwarded to the ROS to perform an earthquake simulation, which is based on a spectral-element method (SEM). A new island-wide, high resolution SEM mesh model is developed for the whole Taiwan in this study. We have improved SEM mesh quality by introducing a thin high-resolution mesh layer near the surface to accommodate steep and rapidly varying topography. The mesh for the shallow sedimentary basin is adjusted to reflect its complex geometry and sharp lateral velocity contrasts. The grid resolution at the surface is about 545 m, which is sufficient to resolve topography and tomography data for simulations accurate up to 1.0 Hz. The ROS is also an infrastructural service, making online earthquake simulation feasible. Users can conduct their own earthquake simulation by providing a set of source parameters through the ROS webpage. For visualization, a ShakeMovie and ShakeMap are produced during the simulation. The time needed for one event is roughly 3 min for a 70 s ground motion simulation. The ROS is operated online at the Institute of Earth Sciences, Academia Sinica (http://ros.earth.sinica.edu.tw/). Our long-term goal for the ROS system is to contribute to public earth science outreach and to realize seismic ground motion prediction in real-time.

Research on signal processing method for total organic carbon of water quality online monitor

NASA Astrophysics Data System (ADS)

Ma, R.; Xie, Z. X.; Chu, D. Z.; Zhang, S. W.; Cao, X.; Wu, N.

2017-08-01

At present, there is no rapid, stable and effective approach of total organic carbon (TOC) measurement in the Marine environmental online monitoring field. Therefore, this paper proposes an online TOC monitor of chemiluminescence signal processing method. The weak optical signal detected by photomultiplier tube can be enhanced and converted by a series of signal processing module: phase-locked amplifier module, fourth-order band pass filter module and AD conversion module. After a long time of comparison test & measurement, compared with the traditional method, on the premise of sufficient accuracy, this chemiluminescence signal processing method can offer greatly improved measuring speed and high practicability for online monitoring.

A Case Study of Online Degree Course Design and Performance of Online Learners

ERIC Educational Resources Information Center

Saul, Robert

2013-01-01

The increasing demand of learners in online higher education courses currently presents a challenge to online course designs in increasing the performance of learners. The online course design process involves many challenges, including a new delivery system, understanding online drivers for success, and an emerging profession of online…

Learners' Internal Management of Cognitive Processing in Online Learning

ERIC Educational Resources Information Center

Chen, C.-Y.; Pedersen, S.

2012-01-01

This study examined students' internal management of their cognitive processing in an interactive online class. A mixed methods approach was used to explore students' strategy use in online discussions. The focus is on examining individual knowledge construction through active cognitive engagement, rather than the social interactions, in the…

Learning from Lessons: studying the structure and construction of mathematics teacher knowledge in Australia, China and Germany

NASA Astrophysics Data System (ADS)

Chan, Man Ching Esther; Clarke, David J.; Clarke, Doug M.; Roche, Anne; Cao, Yiming; Peter-Koop, Andrea

2018-03-01

The major premise of this project is that teachers learn from the act of teaching a lesson. Rather than asking "What must a teacher already know in order to practice effectively?", this project asks "What might a teacher learn through their activities in the classroom and how might this learning be optimised?" In this project, controlled conditions are created utilising purposefully designed and trialled lesson plans to investigate the process of teacher knowledge construction, with teacher selective attention proposed as a key mediating variable. In order to investigate teacher learning through classroom practice, the project addresses the following questions: To what classroom objects, actions and events do teachers attend and with what consequence for their learning? Do teachers in different countries attend to different classroom events and consequently derive different learning benefits from teaching a lesson? This international project combines focused case studies with an online survey of mathematics teachers' selective attention and consequent learning in Australia, China and Germany. Data include the teacher's adaptation of a pre-designed lesson, the teacher's actions during the lesson, the teacher's reflective thoughts about the lesson and, most importantly, the consequences for the planning and delivery of a second lesson. The combination of fine-grained, culturally situated case studies and large-scale online survey provides mutually informing benefits from each research approach. The research design, so constituted, offers the means to a new and scalable vision of teacher learning and its promotion.

VizieR Online Data Catalog: Palomar Transient Factory photometric observations (Arcavi+, 2014)

NASA Astrophysics Data System (ADS)

Arcavi, I.; Gal-Yam, A.; Sullivan, M.; Pan, Y.-C.; Cenko, S. B.; Horesh, A.; Ofek, E. O.; De Cia, A.; Yan, L.; Yang, C.-W.; Howell, D. A.; Tal, D.; Kulkarni, S. R.; Tendulkar, S. P.; Tang, S.; Xu, D.; Sternberg, A.; Cohen, J. G.; Bloom, J. S.; Nugent, P. E.; Kasliwal, M. M.; Perley, D. A.; Quimby, R. M.; Miller, A. A.; Theissen, C. A.; Laher, R. R.

2017-04-01

All the events from our archival search were discovered by the Palomar 48 inch Oschin Schmidt Telescope (P48) as part of the PTF survey using the Mould R-band filter. We obtained photometric observations in the R and g bands using P48, and in g, r, and i bands with the Palomar 60 inch telescope (P60; Cenko et al. 2006PASP..118.1396C). Initial processing of the P48 images was conducted by the Infrared Processing and Analysis Center (IPAC; Laher et al. 2014PASP..126..674L). Photometry was extracted using a custom PSF fitting routine (e.g., Sullivan et al. 2006AJ....131..960S), which measures the transient flux after image subtraction (using template images taken before the outburst or long after it faded). (1 data file).

Modeling Earth's Ring Current Using The CIMI Model

NASA Astrophysics Data System (ADS)

Craven, J. D., II; Perez, J. D.; Buzulukova, N.; Fok, M. C. H.

2015-12-01

Earth's ring current is a result of the injection of charged particles trapped in the magnetosphere from solar storms. The enhancement of the ring current particles produces magnetic depressions and disturbances to the Earth's magnetic field known as geomagnetic storms, which have been modeled using the comprehensive inner magnetosphere-ionosphere (CIMI) model. The purpose of this model is to identify and understand the physical processes that control the dynamics of the geomagnetic storms. The basic procedure was to use the CIMI model for the simulation of 15 storms since 2009. Some of the storms were run multiple times, but with varying parameters relating to the dynamics of the Earth's magnetic field, particle fluxes, and boundary conditions of the inner-magnetosphere. Results and images were placed in the TWINS online catalog page for further analysis and discussion. Particular areas of interest were extreme storm events. A majority of storms simulated had average DST values of -100 nT; these extreme storms exceeded DST values of -200 nT. The continued use of the CIMI model will increase knowledge of the interactions and processes of the inner-magnetosphere as well as lead to a better understanding of extreme solar storm events for the future advancement of space weather physics.

Selection and Use of Online Learning Resources by First-Year Medical Students: Cross-Sectional Study

PubMed Central

Elliott, Kristine

2017-01-01

Background Medical students have access to a wide range of learning resources, many of which have been specifically developed for or identified and recommended to them by curriculum developers or teaching staff. There is an expectation that students will access and use these resources to support their self-directed learning. However, medical educators lack detailed and reliable data about which of these resources students use to support their learning and how this use relates to key learning events or activities. Objective The purpose of this study was to comprehensively document first-year medical student selection and use of online learning resources to support their bioscience learning within a case-based curriculum and assess these data in relation to our expectations of student learning resource requirements and use. Methods Study data were drawn from 2 sources: a survey of student learning resource selection and use (2013 cohort; n=326) and access logs from the medical school learning platform (2012 cohort; n=337). The paper-based survey, which was distributed to all first-year students, was designed to assess the frequency and types of online learning resources accessed by students and included items about their perceptions of the usefulness, quality, and reliability of various resource types and sources. Of 237 surveys returned, 118 complete responses were analyzed (36.2% response rate). Usage logs from the learning platform for an entire semester were processed to provide estimates of first-year student resource use on an individual and cohort-wide basis according to method of access, resource type, and learning event. Results According to the survey data, students accessed learning resources via the learning platform several times per week on average, slightly more often than they did for resources from other online sources. Google and Wikipedia were the most frequently used nonuniversity sites, while scholarly information sites (eg, online journals and scholarly databases) were accessed relatively infrequently. Students were more likely to select learning resources based on the recommendation of peers than of teaching staff. The overwhelming majority of the approximately 70,000 resources accessed by students via the learning platform were lecture notes, with each accessed an average of 167 times. By comparison, recommended journal articles and (online) textbook chapters were accessed only 49 and 31 times, respectively. The number and type of learning resources accessed by students through the learning platform was highly variable, with a cluster analysis revealing that a quarter of students accessed very few resources in this way. Conclusions Medical students have easy access to a wide range of quality learning resources, and while some make good use of the learning resources recommended to them, many ignore most and access the remaining ones infrequently. Learning analytics can provide useful measures of student resource access through university learning platforms but fails to account for resources accessed via external online sources or sharing of resources using social media. PMID:28970187

Online adaptation and over-trial learning in macaque visuomotor control.

PubMed

Braun, Daniel A; Aertsen, Ad; Paz, Rony; Vaadia, Eilon; Rotter, Stefan; Mehring, Carsten

2011-01-01

When faced with unpredictable environments, the human motor system has been shown to develop optimized adaptation strategies that allow for online adaptation during the control process. Such online adaptation is to be contrasted to slower over-trial learning that corresponds to a trial-by-trial update of the movement plan. Here we investigate the interplay of both processes, i.e., online adaptation and over-trial learning, in a visuomotor experiment performed by macaques. We show that simple non-adaptive control schemes fail to perform in this task, but that a previously suggested adaptive optimal feedback control model can explain the observed behavior. We also show that over-trial learning as seen in learning and aftereffect curves can be explained by learning in a radial basis function network. Our results suggest that both the process of over-trial learning and the process of online adaptation are crucial to understand visuomotor learning.

Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control

PubMed Central

Braun, Daniel A.; Aertsen, Ad; Paz, Rony; Vaadia, Eilon; Rotter, Stefan; Mehring, Carsten

2011-01-01

When faced with unpredictable environments, the human motor system has been shown to develop optimized adaptation strategies that allow for online adaptation during the control process. Such online adaptation is to be contrasted to slower over-trial learning that corresponds to a trial-by-trial update of the movement plan. Here we investigate the interplay of both processes, i.e., online adaptation and over-trial learning, in a visuomotor experiment performed by macaques. We show that simple non-adaptive control schemes fail to perform in this task, but that a previously suggested adaptive optimal feedback control model can explain the observed behavior. We also show that over-trial learning as seen in learning and aftereffect curves can be explained by learning in a radial basis function network. Our results suggest that both the process of over-trial learning and the process of online adaptation are crucial to understand visuomotor learning. PMID:21720526

Online teaching: "are you there, and do you care?".

PubMed

Mastel-Smith, Beth; Post, Jerri; Lake, Pamela

2015-03-01

Much of nursing education is moving online, and faculty must learn to deliver content and communicate differently. A hybrid model of concept development provided insight into faculty's perceptions and expressions of online caring presence. Phase one of concept development revealed many related concepts. Phase two involved (a) six qualitative interviews with doctoral-prepared nursing faculty who taught 100% online, and (b) Watson's Ten Caritas Processes were revised for application in online nursing education and used as a guide for course review. Four themes emerged from the interview data: (a) online teaching experiences, (b) similarities and differences between online and face-to-face teaching, (c) online presence, and (d) online caring presence. Course review suggested that faculty promoted helping-trusting-caring relationships and addressed individual learning needs. Phase three integrated findings from phases one and two; a comprehensive definition of online caring presence was developed. Recommendations regarding technology and communication skill acquisition and Caritas Process application are suggested. Copyright 2015, SLACK Incorporated.

A System and Method for Online High-Resolution Mapping of Gastric Slow-Wave Activity

PubMed Central

Bull, Simon H.; O’Grady, Gregory; Du, Peng

2015-01-01

High-resolution (HR) mapping employs multielectrode arrays to achieve spatially detailed analyses of propagating bioelectrical events. A major current limitation is that spatial analyses must currently be performed “off-line” (after experiments), compromising timely recording feedback and restricting experimental interventions. These problems motivated development of a system and method for “online” HR mapping. HR gastric recordings were acquired and streamed to a novel software client. Algorithms were devised to filter data, identify slow-wave events, eliminate corrupt channels, and cluster activation events. A graphical user interface animated data and plotted electrograms and maps. Results were compared against off-line methods. The online system analyzed 256-channel serosal recordings with no unexpected system terminations with a mean delay 18 s. Activation time marking sensitivity was 0.92; positive predictive value was 0.93. Abnormal slow-wave patterns including conduction blocks, ectopic pacemaking, and colliding wave fronts were reliably identified. Compared to traditional analysis methods, online mapping had comparable results with equivalent coverage of 90% of electrodes, average RMS errors of less than 1 s, and CC of activation maps of 0.99. Accurate slow-wave mapping was achieved in near real-time, enabling monitoring of recording quality and experimental interventions targeted to dysrhythmic onset. This work also advances the translation of HR mapping toward real-time clinical application. PMID:24860024

Design of Online Spheroidization Process for 1.0C-1.5Cr Bearing Steel and Microstructure Analysis

NASA Astrophysics Data System (ADS)

Li, Zhen-Xing; Li, Chang-Sheng; Ren, Jin-Yi; Li, Bin-Zhou; Suh, Dong-Woo

2018-02-01

Using thermo-mechanical control process, the online spheroidization annealing process of 1.0C-1.5Cr bearing steel was designed. Apart from intercritical online spheroidization (IS), a novel subcritical online spheroidization (SS) process was proposed, which is characterized by water-cooling to around 773 K (500 °C) after the final rolling pass, and then directly reheating to 973 K (700 °C) for isothermal holding. Compared with the results from the traditional offline spheroidization (TS) process, the size of spheroidized carbides is similar in both the TS and IS processes, whereas it is much smaller in the SS process. After spheroidization annealing, microstructure evolution during austenitization and quenching treatment was examined. It is shown that the refining of spheroidized carbides accelerates the dissolution of carbides during the austenitizing process, and decreases the size of undissolved carbides. In addition, the SS process can obtain finer prior austenite grain after quenching, which contributes to the enhancement of final hardness.

Online Planetary Science Courses at Athabasca University

NASA Astrophysics Data System (ADS)

Connors, Martin; Munyikwa, Ken; Bredeson, Christy

2016-01-01

Athabasca University offers distance education courses in science, at freshman and higher levels. It has a number of geology and astronomy courses, and recently opened a planetary science course as the first upper division astronomy course after many years of offering freshman astronomy. Astronomy 310, Planetary Science, focuses on process in the Solar System on bodies other than Earth. This process-oriented course uses W. F. Hartmann's "Moons and Planets" as its textbook. It primarily approaches the subject from an astronomy and physics perspective. Geology 415, Earth's Origin and Early Evolution, is based on the same textbook, but explores the evidence for the various processes, events, and materials involved in the formation and evolution of Earth. The course provides an overview of objects in the Solar System, including the Sun, the planets, asteroids, comets, and meteoroids. Earth's place in the solar system is examined and physical laws that govern the motion of objects in the universe are looked at. Various geochemical tools and techniques used by geologists to reveal and interpret the evidence for the formation and evolution of bodies in the solar system as well as the age of earth are also explored. After looking at lines of evidence used to reconstruct the evolution of the solar system, processes involved in the formation of planets and stars are examined. The course concludes with a look at the origin and nature of Earth's internal structure. GEOL415 is a senior undergraduate course and enrols about 15-30 students annually. The courses are delivered online via Moodle and student evaluation is conducted through assignments and invigilated examinations.

VizieR Online Data Catalog: K2 Campaign 9 added events (Henderson+, 2016)

NASA Astrophysics Data System (ADS)

Henderson, C. B.; Poleski, R.; Penny, M.; Street, R. A.; Bennett, D. P.; Hogg, D. W.; Gaudi B. S.; K2 Campaign 9 Microlensing Science Team; Zhu, W.; Barclay, T.; Barentsen, G.; Howell, S. B.; Mullally, F.; Udalski, A.; Szymanski, M. K.; Skowron, J.; Mroz, P.; Kozlowski, S.; Wyrzykowski, L.; Pietrukowicz, P.; Soszynski, I.; Ulaczyk, K.; Pawlak, M.; Ogle Project; Sumi, T.; Abe, F.; Asakura, Y.; Barry, R. K.; Bhattacharya, A.; Bond, I. A.; Donachie, M.; Freeman, M.; Fukui, A.; Hirao, Y.; Itow, Y.; Koshimoto, N.; Li, M. C. A.; Ling, C. H.; Masuda, K.; Matsubara, Y.; Muraki, Y.; Nagakane, M.; Ohnishi, K.; Oyokawa, H.; Rattenbury, N.; Saito, T.; Sharan, A.; Sullivan, D. J.; Tristram, P. J.; Yonehara, A.; Moa Collaboration; Bachelet, E.; Bramich, D. M.; Cassan, A.; Dominik, M.; Jaimes, R. F.; Horne, K.; Hundertmark, M.; Mao, S.; Ranc, C.; Schmidt, R.; Snodgrass, C.; Steele, I. A.; Tsapras, Y.; Wambsganss, J.; Robonet Project; Bozza, V.; Burgdorf, M. J.; Jorgensen, U. G.; Novati, S. C.; Ciceri, S.; D'Ago, G.; Evans, D. F.; Hessman, F. V.; Hinse, T. C.; H! Usser T.-, O.; Mancini, L.; Popovas, A.; Rabus, M.; Rahvar, S.; Scarpetta, G.; Skottfelt, J.; Southworth, J.; Unda-Sanzana E.; Mindstep Team; Bryson, S. T.; Caldwell, D. A.; Haas, M. R.; Larson, K.; McCalmont, K.; Packard, M.; Peterson, C.; Putnam, D.; Reedy, L.; Ross, S.; van Cleve J. E.; K2C9 Engineering Team; Akeson, R.; Batista, V.; Beaulieu, J.-P.; Beichman, C. A.; Bryden, G.; Ciardi, D.; Cole, A.; Coutures, C.; Foreman-Mackey, D.; Fouque, P.; Friedmann, M.; Gelino, C.; Kaspi, S.; Kerins, E.; Korhonen, H.; Lang, D.; Lee, C.-H.; Lineweaver, C. H.; Maoz, D.; Marquette, J.-B.; Mogavero, F.; Morales, J. C.; Nataf, D.; Pogge, R. W.; Santerne, A.; Shvartzvald, Y.; Suzuki, D.; Tamura, M.; Tisserand, P.; Wang, D.

2017-08-01

The deadline for adding events to C9a was 2016 March 1 and for C9b it was 2016 April 25. In total, 34 and 61 ongoing events were added to the target list for C9a and C9b, respectively. Table 2 provides a list of the event names, coordinates, and baseline I-band magnitudes for all of these events, many of which were added to the target list for both halves of K2C9. This resulted in 70 unique events that were added to the target list and for which data were downlinked for at least one half of K2C9. (1 data file).

Increasing Student Success Using Online Quizzing in Introductory (Majors) Biology

PubMed Central

Orr, Rebecca; Foster, Shellene

2013-01-01

Students often complain about their perceived disconnect between the time and effort spent studying and their subsequent performance on exams. Robert Bjork's research asserts that retrieval of stored information acts as a memory modifier, and that using tests as learning events creates “desirable difficulties that enhance learning.” To determine the effect of utilizing testing as a learning event in the introductory (majors) biology classroom, we used an online homework platform to give required quizzes throughout the course. Analysis of exam grades earned by those taking 100% of pre-exam quizzes indicates that not only does this group have a significantly higher exam average than the group of students who took 0% of the pre-exam quizzes, but they also have a significantly higher exam average than the class average. Through detailed, statistical analysis, the benefit of quizzing is demonstrated to be significant for students of diverse academic abilities. Pre-exam quizzing using an online homework platform is an effective way to increase student performance on exams and allows class time to be utilized for teaching activities. PMID:24006398

Online Assessment and Measurement: Foundations and Challenges

ERIC Educational Resources Information Center

Hricko, Mary; Howell, Scott

2006-01-01

Online learning is one of the most important topics in distance learning, but practitioners and researchers have experienced difficulty in defining the process. "Online Assessment and Measurement: Foundations and Challenges" approaches the topic by finding a common ground to properly analyze online assessment and measurement. "Online Assessment…

Using the Internet to deliver health care value.

PubMed

MacStravic, S

2001-01-01

Beyond the popular uses of the Internet by HCOs--for recruiting employees, purchasing supplies and promoting brand and service awareness--lie a host of opportunities to add value to consumers online. All HCO programs can be enhanced through online initiatives: wellness and health promotion, risk reduction, prevention, early detection, symptom management, life event management, acute treatment and rehabilitation, disease management and end-of-life improvement. And beyond online initiatives in each of these categories lies the potential to use the Net for reminding consumers, individually and collectively, of the health and quality of life benefits they are gaining, thereby adding to the HCO's marketing and PR success.

A Multi-layer, Data-driven Advanced Reasoning Tool for Intelligent Data Mining and Analysis for Smart Grids

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

Lu, Ning; Du, Pengwei; Greitzer, Frank L.

2012-12-31

This paper presents the multi-layer, data-driven advanced reasoning tool (M-DART), a proof-of-principle decision support tool for improved power system operation. M-DART will cross-correlate and examine different data sources to assess anomalies, infer root causes, and anneal data into actionable information. By performing higher-level reasoning “triage” of diverse data sources, M-DART focuses on early detection of emerging power system events and identifies highest priority actions for the human decision maker. M-DART represents a significant advancement over today’s grid monitoring technologies that apply offline analyses to derive model-based guidelines for online real-time operations and use isolated data processing mechanisms focusing on individualmore » data domains. The development of the M-DART will bridge these gaps by reasoning about results obtained from multiple data sources that are enabled by the smart grid infrastructure. This hybrid approach integrates a knowledge base that is trained offline but tuned online to capture model-based relationships while revealing complex causal relationships among data from different domains.« less

A support system for assessing local vulnerability to weather and climate

USGS Publications Warehouse

Coletti, Alex; Howe, Peter D.; Yarnal, Brent; Wood, Nathan J.

2013-01-01

The changing number and nature of weather- and climate-related natural hazards is causing more communities to need to assess their vulnerabilities. Vulnerability assessments, however, often require considerable expertise and resources that are not available or too expensive for many communities. To meet the need for an easy-to-use, cost-effective vulnerability assessment tool for communities, a prototype online vulnerability assessment support system was built and tested. This prototype tool guides users through a stakeholder-based vulnerability assessment that breaks the process into four easy-to-implement steps. Data sources are integrated in the online environment so that perceived risks—defined and prioritized qualitatively by users—can be compared and discussed against the impacts that past events have had on the community. The support system is limited in scope, and the locations of the case studies do not provide a sufficiently broad range of sample cases. The addition of more publically available hazard databases combined with future improvements in the support system architecture and software will expand opportunities for testing and fully implementing the support system.

Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?

PubMed

Barberá, Pablo; Jost, John T; Nagler, Jonathan; Tucker, Joshua A; Bonneau, Richard

2015-10-01

We estimated ideological preferences of 3.8 million Twitter users and, using a data set of nearly 150 million tweets concerning 12 political and nonpolitical issues, explored whether online communication resembles an "echo chamber" (as a result of selective exposure and ideological segregation) or a "national conversation." We observed that information was exchanged primarily among individuals with similar ideological preferences in the case of political issues (e.g., 2012 presidential election, 2013 government shutdown) but not many other current events (e.g., 2013 Boston Marathon bombing, 2014 Super Bowl). Discussion of the Newtown shootings in 2012 reflected a dynamic process, beginning as a national conversation before transforming into a polarized exchange. With respect to both political and nonpolitical issues, liberals were more likely than conservatives to engage in cross-ideological dissemination; this is an important asymmetry with respect to the structure of communication that is consistent with psychological theory and research bearing on ideological differences in epistemic, existential, and relational motivation. Overall, we conclude that previous work may have overestimated the degree of ideological segregation in social-media usage. © The Author(s) 2015.

Imaging when acting: picture but not word cues induce action-related biases of visual attention.

PubMed

Wykowska, Agnieszka; Hommel, Bernhard; Schubö, Anna

2012-01-01

In line with the Theory of Event Coding (Hommel et al., 2001a), action planning has been shown to affect perceptual processing - an effect that has been attributed to a so-called intentional weighting mechanism (Wykowska et al., 2009; Memelink and Hommel, 2012), whose functional role is to provide information for open parameters of online action adjustment (Hommel, 2010). The aim of this study was to test whether different types of action representations induce intentional weighting to various degrees. To meet this aim, we introduced a paradigm in which participants performed a visual search task while preparing to grasp or to point. The to-be performed movement was signaled either by a picture of a required action or a word cue. We reasoned that picture cues might trigger a more concrete action representation that would be more likely to activate the intentional weighting of perceptual dimensions that provide information for online action control. In contrast, word cues were expected to trigger a more abstract action representation that would be less likely to induce intentional weighting. In two experiments, preparing for an action facilitated the processing of targets in an unrelated search task if they differed from distractors on a dimension that provided information for online action control. As predicted, however, this effect was observed only if action preparation was signaled by picture cues but not if it was signaled by word cues. We conclude that picture cues are more efficient than word cues in activating the intentional weighting of perceptual dimensions, presumably by specifying not only invariant characteristics of the planned action but also the dimensions of action-specific parameters.

Imaging When Acting: Picture but Not Word Cues Induce Action-Related Biases of Visual Attention

PubMed Central

Wykowska, Agnieszka; Hommel, Bernhard; Schubö, Anna

2012-01-01

In line with the Theory of Event Coding (Hommel et al., 2001a), action planning has been shown to affect perceptual processing – an effect that has been attributed to a so-called intentional weighting mechanism (Wykowska et al., 2009; Memelink and Hommel, 2012), whose functional role is to provide information for open parameters of online action adjustment (Hommel, 2010). The aim of this study was to test whether different types of action representations induce intentional weighting to various degrees. To meet this aim, we introduced a paradigm in which participants performed a visual search task while preparing to grasp or to point. The to-be performed movement was signaled either by a picture of a required action or a word cue. We reasoned that picture cues might trigger a more concrete action representation that would be more likely to activate the intentional weighting of perceptual dimensions that provide information for online action control. In contrast, word cues were expected to trigger a more abstract action representation that would be less likely to induce intentional weighting. In two experiments, preparing for an action facilitated the processing of targets in an unrelated search task if they differed from distractors on a dimension that provided information for online action control. As predicted, however, this effect was observed only if action preparation was signaled by picture cues but not if it was signaled by word cues. We conclude that picture cues are more efficient than word cues in activating the intentional weighting of perceptual dimensions, presumably by specifying not only invariant characteristics of the planned action but also the dimensions of action-specific parameters. PMID:23087656

Analyzing the Learning Process of an Online Role-Playing Discussion Activity

ERIC Educational Resources Information Center

Hou, Huei-Tse

2012-01-01

Instructional activities based on online discussion strategies have gained prevalence in recent years. Within this context, a crucial research topic is to design innovative and appropriate online discussion strategies that assist learners in attaining a deeper level of interaction and higher cognitive skills. By analyzing the process of online…

The IBM PC as an Online Search Machine. Part 5: Searching through Crosstalk.

ERIC Educational Resources Information Center

Kolner, Stuart J.

1985-01-01

This last of a five-part series on using the IBM personal computer for online searching highlights a brief review, search process, making the connection, switching between screens and modes, online transaction, capture buffer controls, coping with options, function keys, script files, processing downloaded information, note to TELEX users, and…

76 FR 13884 - Special Local Regulation for Marine Event; Temporary Change of Dates for Recurring Marine Event...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-15

... DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 100 [Docket No. USCG-2010-1094] RIN 1625... the docket, are part of docket USCG-2010-1094 and are available online by going to http://www.regulations.gov , inserting USCG-2010-1094 in the ``Keyword'' box, and then clicking ``Search.'' This material...

The Gonzo Scientist. Slaying monsters for science.

PubMed

Bohannon, John

2008-06-20

Slaying Monsters for Science John Bohannon The first scientific conference held in Azeroth, the online universe of the role-playing game World of Warcraft, went off virtually without a hitch. Although the participants all died during the final day's social event - a massive raid on an enemy fort - they agree that this event is a glimpse at the future of scientific exchange.

Continuing Education Credits | Division of Cancer Prevention

Cancer.gov

We are pleased to be able to offer continuing education credits to Registered Dietitians. Registered Dietitians This event is pending for approval by the Commission on Dietetic Registration for 2 CPEUs.  Procedure  Immediately after the event, a link to a short questionnaire will be sent to you by email. Please complete the questionnaire online and print out your certificate

Temporal Dynamics of Late Second Language Acquisition: Evidence from Event-Related Brain Potentials

ERIC Educational Resources Information Center

Steinhauer, Karsten; White, Erin J.; Drury, John E.

2009-01-01

The ways in which age of acquisition (AoA) may affect (morpho)syntax in second language acquisition (SLA) are discussed. We suggest that event-related brain potentials (ERPs) provide an appropriate online measure to test some such effects. ERP findings of the past decade are reviewed with a focus on recent and ongoing research. It is concluded…

Dofetilide

MedlinePlus

... than normal) If you experience a serious side effect, you or your doctor may send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http://www.fda.gov/ ...

Kidney Quiz

MedlinePlus

... NKF Online Communities Featured Story Want to save money on your prescriptions? Introducing a new discount card ... Events and Galas Spring Clinical Meetings KEEP Healthy - Free Kidney Health checks Your Kidneys and You Meetings ...

Dutasteride

MedlinePlus

... alpha reductase inhibitors. It works by blocking the production of a natural substance that enlarges the prostate. ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Salsalate

MedlinePlus

... called salicylates. It works by stopping the body's production of a substance that causes pain, fever, and ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Glycopyrrolate

MedlinePlus

... of medications called anticholinergics. It decreases stomach acid production by blocking the activity of a certain natural ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Diflunisal

MedlinePlus

... called NSAIDs. It works by stopping the body's production of a substance that causes pain, fever, and ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Sulindac

MedlinePlus

... called NSAIDs. It works by stopping the body's production of a substance that causes pain, fever, and ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Vehicle dynamic prediction systems with on-line identification of vehicle parameters and road conditions.

PubMed

Hsu, Ling-Yuan; Chen, Tsung-Lin

2012-11-13

This paper presents a vehicle dynamics prediction system, which consists of a sensor fusion system and a vehicle parameter identification system. This sensor fusion system can obtain the six degree-of-freedom vehicle dynamics and two road angles without using a vehicle model. The vehicle parameter identification system uses the vehicle dynamics from the sensor fusion system to identify ten vehicle parameters in real time, including vehicle mass, moment of inertial, and road friction coefficients. With above two systems, the future vehicle dynamics is predicted by using a vehicle dynamics model, obtained from the parameter identification system, to propagate with time the current vehicle state values, obtained from the sensor fusion system. Comparing with most existing literatures in this field, the proposed approach improves the prediction accuracy both by incorporating more vehicle dynamics to the prediction system and by on-line identification to minimize the vehicle modeling errors. Simulation results show that the proposed method successfully predicts the vehicle dynamics in a left-hand turn event and a rollover event. The prediction inaccuracy is 0.51% in a left-hand turn event and 27.3% in a rollover event.

Vehicle Dynamic Prediction Systems with On-Line Identification of Vehicle Parameters and Road Conditions

PubMed Central

Hsu, Ling-Yuan; Chen, Tsung-Lin

2012-01-01

This paper presents a vehicle dynamics prediction system, which consists of a sensor fusion system and a vehicle parameter identification system. This sensor fusion system can obtain the six degree-of-freedom vehicle dynamics and two road angles without using a vehicle model. The vehicle parameter identification system uses the vehicle dynamics from the sensor fusion system to identify ten vehicle parameters in real time, including vehicle mass, moment of inertial, and road friction coefficients. With above two systems, the future vehicle dynamics is predicted by using a vehicle dynamics model, obtained from the parameter identification system, to propagate with time the current vehicle state values, obtained from the sensor fusion system. Comparing with most existing literatures in this field, the proposed approach improves the prediction accuracy both by incorporating more vehicle dynamics to the prediction system and by on-line identification to minimize the vehicle modeling errors. Simulation results show that the proposed method successfully predicts the vehicle dynamics in a left-hand turn event and a rollover event. The prediction inaccuracy is 0.51% in a left-hand turn event and 27.3% in a rollover event. PMID:23202231

Process evaluation of a mHealth program: lessons learned from Stop My Smoking USA, a text messaging-based smoking cessation program for young adults.

PubMed

Ybarra, Michele L; Holtrop, Jodi Summers; Prescott, Tonya L; Strong, David

2014-11-01

Report lessons learned in an RCT of Stop My Smoking (SMS) USA, a mHealth smoking cessation program for young adult smokers. 164 18-24-year-olds were recruited nationally, online in 2011. Program evaluation data were provided at 12-week post-Quit Day. (1) Inviting participants to complete a brief text messaging survey and then asking them to complete a longer online survey resulted in the highest response rate (89%). (2) The positive tone of program messages was the most commonly noted program strength. (3) Suggested improvements included more social connectivity and additional assistance overcoming stressful situations. (4) Half of intervention participants moved through the program linearly and half went through various paths that reflected multiple relapses. Suggestions to use pharmacotherapy resulted in 22% of heavy smokers to utilize it. Participant feedback provided concrete ways in which this and other young adult-focused interventions can improve messaging and program features to be even more salient. Future young adult mHealth interventions could: Integrate models that are flexible to different "paths" of behavior change; address stressful life events directly and comprehensively; integrate proactive messaging that promotes pharmacotherapy options; and use text messaging as a gateway to longer online surveys. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

SOS: Observation, Intervention, and Scaffolding towards Successful Online Students

ERIC Educational Resources Information Center

Ainsa, Trisha

2017-01-01

Research, reflection, and evaluation of online classes indicated a need for graduated scaffolding for first time students experiencing distance learning. In order to promote student engagement in the online learning process, I designed SOS for beginning online students. Sixty-three online students were offered an opportunity to participate in a…

Observing Consistency in Online Communication Patterns for User Re-Identification

PubMed Central

Venter, Hein S.

2016-01-01

Comprehension of the statistical and structural mechanisms governing human dynamics in online interaction plays a pivotal role in online user identification, online profile development, and recommender systems. However, building a characteristic model of human dynamics on the Internet involves a complete analysis of the variations in human activity patterns, which is a complex process. This complexity is inherent in human dynamics and has not been extensively studied to reveal the structural composition of human behavior. A typical method of anatomizing such a complex system is viewing all independent interconnectivity that constitutes the complexity. An examination of the various dimensions of human communication pattern in online interactions is presented in this paper. The study employed reliable server-side web data from 31 known users to explore characteristics of human-driven communications. Various machine-learning techniques were explored. The results revealed that each individual exhibited a relatively consistent, unique behavioral signature and that the logistic regression model and model tree can be used to accurately distinguish online users. These results are applicable to one-to-one online user identification processes, insider misuse investigation processes, and online profiling in various areas. PMID:27918593

Springtime precipitation effects on the abundance of fluorescent biological aerosol particles and HULIS in Beijing.

PubMed

Yue, Siyao; Ren, Hong; Fan, Songyun; Sun, Yele; Wang, Zifa; Fu, Pingqing

2016-07-29

Bioaerosols and humic-like substances (HULIS) are important components of atmospheric aerosols, which can affect regional climate by acting as cloud condensation nuclei and some of which can damage human health. Up to date, release of bioaerosols and HULIS initiated by precipitation is still poorly understood. Here we present different release processes for bioaerosols, non-bioaerosols and HULIS during a precipitation event in Beijing, China. Large fungal-spore-like aerosols were emitted at the onset and later weak stage of precipitation, the number concentration of which increased by more than two folds, while the number concentration of bacteria-like particles doubled when the precipitation strengthened. Besides, a good correlation between protein-like substances that were measured simultaneously by on-line and off-line fluorescence techniques consolidated their applications to measure bioaerosols. Furthermore, our EEM results suggest that the relative contribution of water-soluble HULIS to microbial materials was enhanced gradually by the rain event.

Springtime precipitation effects on the abundance of fluorescent biological aerosol particles and HULIS in Beijing

PubMed Central

Yue, Siyao; Ren, Hong; Fan, Songyun; Sun, Yele; Wang, Zifa; Fu, Pingqing

2016-01-01

Bioaerosols and humic-like substances (HULIS) are important components of atmospheric aerosols, which can affect regional climate by acting as cloud condensation nuclei and some of which can damage human health. Up to date, release of bioaerosols and HULIS initiated by precipitation is still poorly understood. Here we present different release processes for bioaerosols, non-bioaerosols and HULIS during a precipitation event in Beijing, China. Large fungal-spore-like aerosols were emitted at the onset and later weak stage of precipitation, the number concentration of which increased by more than two folds, while the number concentration of bacteria-like particles doubled when the precipitation strengthened. Besides, a good correlation between protein-like substances that were measured simultaneously by on-line and off-line fluorescence techniques consolidated their applications to measure bioaerosols. Furthermore, our EEM results suggest that the relative contribution of water-soluble HULIS to microbial materials was enhanced gradually by the rain event. PMID:27470588

Springtime precipitation effects on the abundance of fluorescent biological aerosol particles and HULIS in Beijing

NASA Astrophysics Data System (ADS)

Yue, Siyao; Ren, Hong; Fan, Songyun; Sun, Yele; Wang, Zifa; Fu, Pingqing

2016-07-01

Bioaerosols and humic-like substances (HULIS) are important components of atmospheric aerosols, which can affect regional climate by acting as cloud condensation nuclei and some of which can damage human health. Up to date, release of bioaerosols and HULIS initiated by precipitation is still poorly understood. Here we present different release processes for bioaerosols, non-bioaerosols and HULIS during a precipitation event in Beijing, China. Large fungal-spore-like aerosols were emitted at the onset and later weak stage of precipitation, the number concentration of which increased by more than two folds, while the number concentration of bacteria-like particles doubled when the precipitation strengthened. Besides, a good correlation between protein-like substances that were measured simultaneously by on-line and off-line fluorescence techniques consolidated their applications to measure bioaerosols. Furthermore, our EEM results suggest that the relative contribution of water-soluble HULIS to microbial materials was enhanced gradually by the rain event.

Astronomy On-Line Programme Enters "hot Week"

NASA Astrophysics Data System (ADS)

1996-11-01

World's Biggest Astronomy WWW-Event Attracts Thousands of Students The Astronomy On-line Programme (See ESO Press Release 09/96 of 18 June 1996) began officially on 1 October and is now about to enter its most intense phase, known as the Hot Week . On 18 - 22 November, an estimated 4000 astronomy-interested, mostly young people in Europe and on four other continents will get together during five days in what - not unexpected - has become the world's biggest astronomy event ever organised on the World Wide Web. This carefully structured Programme is carried out in collaboration between the European Association for Astronomy Education (EAAE), the European Southern Observatory and the European Commission, under the auspices of the Fourth European Week for Scientific and Technological Culture. The Programme has already had a most visible impact on the school education of natural sciences in various countries; for instance, the Internet-connection of schools has been advanced in some, in order to allow groups to participate. There have been numerous contacts among the groups across the borders and there are clear signs that many Astronomy On-line participants have progressed to use the impressive possibilities of the Web in an efficient and structured way. There has been a lively media interest in Astronomy On-line all over Europe and it is expected to increase during the next week. The current status of Astronomy On-line It is obvious that the pilot function of the Astronomy On-line Programme in the use of the Web has been very effective and that the associated dissemination of astronomical knowledge has been successful. At this time, more than 650 groups have registered with Astronomy On-line. Most come from 31 different European countries and a few dozen groups are located in North and South America as well as in Asia and Australia. Together they have experienced the steady build-up of Astronomy On-line over the past weeks, by means of numerous contributions from a large number of teachers, amateur astronomers and others interested in this field of science. The Astronomy On-line concept is that of a well-structured marketplace with a number of different shops which cater to the participants with a great variety of interesting and educational activities. These range from the availability of useful links to educational and scientific Web sites all around the world, collaborative projects where many participants in different countries work together to achieve an astronomical result and, not the least, the possibility to submit observing programmes to a dozen telescopes at 10 major observatories, including La Silla in Chile. In the early phases of Astronomy On-line , coordinated observations were performed of a lunar eclipse on 27 September and a partial solar eclipse on 12 October. Both events attracted many hundreds of observers from groups in almost all European countries and provisional reports have already been published on the Web. Many beautiful photographs and interesting reports about the activities of the individual groups are also available at their special Web sites. The Hot Week will last from Monday to Friday, 18-22 November and the time interval from 15:00-21:00 UT (16:00 - 22:00 Central European Time) will be the busiest. During this period, a variety of activities will take place. For instance, the groups will have the opportunity to contact professional astronomers at many observatories. They will also be invited to follow the other developments, e.g. the astronomical observations. The resulting images will immediately be made available on the Web. There will also be a Final Event involving all the groups. How to obtain more information about Astronomy On-line Astronomy On-line may be accessed through: http://www.eso.org/astronomyonline/ and http://www.algonet.se/~sirius/eaae.htm. National Astronomy On-line Committees have been established in many European countries. They have set up National Astronomy On-line Web-sites which can be reached directly from the sites indicated above. Information about the individual groups, their participants' interests as well as their postal, E-mail and Web addresses are also available, sorted by country. The addresses of the National organisers of Astronomy On-line may be found at these Web sites. A full report about this unique pilot project will become available before the end of this year. How to obtain ESO Press Information ESO Press Information is made available on the World-Wide Web (URL: http://www.eso.org../). ESO Press Photos may be reproduced, if credit is given to the European Southern Observatory.

Secondary Nocturnal Enuresis

MedlinePlus

... NKF Online Communities Featured Story Want to save money on your prescriptions? Introducing a new discount card ... Events and Galas Spring Clinical Meetings KEEP Healthy - Free Kidney Health checks Your Kidneys and You Meetings ...

Cromolyn Ophthalmic

MedlinePlus

... keratitis (a condition that causes swelling of the cornea [tissue in the front of the eye] that ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Ofloxacin Ophthalmic

MedlinePlus

... including conjunctivitis (pink eye) and ulcers of the cornea. Ofloxacin is in a class of medications called ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Nepafenac Ophthalmic

MedlinePlus

... inflammatory drugs (NSAIDs). It works by stopping the production of certain natural substances that cause pain and ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Famotidine Injection

MedlinePlus

... the pancreas and small intestine that caused increased production of stomach acid). Famotidine injection is in a ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Ranitidine Injection

MedlinePlus

... the pancreas and small intestine that caused increased production of stomach acid). Ranitidine injection is in a ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Using Ontologies for the Online Recognition of Activities of Daily Living†

PubMed Central

2018-01-01

The recognition of activities of daily living is an important research area of interest in recent years. The process of activity recognition aims to recognize the actions of one or more people in a smart environment, in which a set of sensors has been deployed. Usually, all the events produced during each activity are taken into account to develop the classification models. However, the instant in which an activity started is unknown in a real environment. Therefore, only the most recent events are usually used. In this paper, we use statistics to determine the most appropriate length of that interval for each type of activity. In addition, we use ontologies to automatically generate features that serve as the input for the supervised learning algorithms that produce the classification model. The features are formed by combining the entities in the ontology, such as concepts and properties. The results obtained show a significant increase in the accuracy of the classification models generated with respect to the classical approach, in which only the state of the sensors is taken into account. Moreover, the results obtained in a simulation of a real environment under an event-based segmentation also show an improvement in most activities. PMID:29662011

Comparison of spatial interpolation of rainfall with emphasis on extreme events

NASA Astrophysics Data System (ADS)

Amin, Kanwal; Duan, Zheng; Disse, Markus

2017-04-01

The sparse network of rain-gauges has always motivated the scientists to find more robust ways to include the spatial variability of precipitation. Turning Bands Simulation, External Drift Kriging, Copula and Random Mixing are amongst one of them. Remote sensing Technologies i.e., radar and satellite estimations are widely known to provide a spatial profile of the precipitation, however during extreme events the accuracy of the resulted areal precipitation is still under discussion. The aim is to compare the areal hourly precipitation results of a flood event from RADOLAN (Radar online adjustment) with the gridded rainfall obtained via Turning Bands Simulation (TBM) and Inverse Distance Weighting (IDW) method. The comparison is mainly focused on performing the uncertainty analysis of the areal precipitation through the said simulation and remote sensing technique for the Upper Main Catchment. The comparison of the results obtained from TBM, IDW and RADOLAN show considerably similar results near the rain gauge stations, but the degree of ambiguity elevates with the increasing distance from the gauge stations. Future research will be carried out to compare the forecasted gridded precipitation simulations with the real-time rainfall forecast system (RADVOR) to make the flood evacuation process more robust and efficient.

The associations between adult attachment, posttraumatic symptoms, and posttraumatic growth.

PubMed

Arikan, Gizem; Stopa, Lusia; Carnelley, Katherine B; Karl, Anke

2016-01-01

Individual differences after trauma vary considerably and can range from posttraumatic stress disorder (PTSD) to posttraumatic growth (PTG). Current theoretical models cannot fully explain this variability. Therefore, we integrated attachment theory with Ehlers and Clark's model of PTSD to understand whether attachment style is associated with negative appraisals of a traumatic event(s), posttraumatic stress symptoms (PTS), and PTG. Our aim was to test this integrated model PTSD in an analog sample who had experienced at least one traumatic event. We used structural equation modeling to test the association of adult attachment and posttraumatic cognitions (self and world/others) with PTS and PTG using a cross-sectional, correlational design. The sample comprised 393 university staff and students (RangeAge= 18-49, 85% females) who completed online measures. Attachment anxiety and negative posttraumatic self-cognitions were positively associated. Negative posttraumatic self-cognitions were positively associated with PTS. Attachment anxiety had an indirect effect (via negative posttraumatic self-cognitions) on PTS, whereas attachment avoidance predicted more negative posttraumatic world cognitions and lower perceived PTG. The study highlights the importance of considering how attachment styles influence posttraumatic emotion regulation and cognitive processing of the trauma to determine posttraumatic mental health.

Trauma symptoms, internalized stigma, social support, and sexual risk behavior among HIV-positive gay and bisexual MSM who have sought sex partners online.

PubMed

Burnham, Kaylee E; Cruess, Dean G; Kalichman, Moira O; Grebler, Tamar; Cherry, Chauncey; Kalichman, Seth C

2016-01-01

Gay, bisexual, and other men who have sex with men (MSM) remain the highest risk group for HIV infection. One reason is the increased use of the Internet to meet potential sex partners, which is associated with greater sexual risk behavior. To date, few studies have investigated psychosocial predictors of sexual risk behavior among gay and bisexual men seeking sex partners online. The purpose of the current study was to test a conceptual model of the relationships between trauma symptoms indexed on the event of HIV diagnosis, internalized HIV stigma, and social support on sexual risk behavior among gay and bisexual MSM who seek sex partners online. A sample of 142 gay and bisexual MSM recruited on- and offline completed a comprehensive online assessment battery assessing the factors noted above. A number of associations emerged; most notably internalized HIV stigma mediated the relationship between trauma-related symptoms indexed on the event of HIV diagnosis and sexual risk behavior with HIV-negative and unknown serostatus sex partners. This suggests that gay and bisexual MSM who are in greater distress over their HIV diagnosis and who are more sensitive to HIV stigma engage in more HIV transmission risk behavior. As sexual risk environments expand with the increasing use of the Internet to connect with others for sex, it is important to understand the predictors of sexual risk behavior so that tailored interventions can promote sexual health for gay and bisexual MSM seeking sex online.

Undertaking the first online sexuality survey among private university students in Lebanon – Process, challenges, and lessons learned.

PubMed

Yasmine, Rola; Ghandour, Lilian; El Kak, Faysal

2016-01-01

The taboo surrounding reproductive and sexual health in the Middle East and North African (MENA) region, specifically among unmarried youth, has resulted in an incomplete and inaccurate documentation of the status of youth sexual and reproductive health (SRH). Documenting regional research processes and successes can support SRH researchers in promoting evidence-based services and local policies. This paper describes the process, challenges and lessons learned during the first online research study in the MENA to assess university students’ sexual practices, values and perceptions. An online survey was completed by 2,182 university students attending the 4th largest private university in Lebanon. An online SRH survey among Arab youth must be carefully developed with the cultural context and its prevailing issues in mind. Careful attention must be paid to any translation process specifically regarding tone and choice of certain sexual terms. The online program/software must be thoroughly piloted for possible technical flaws, language support, and web browser compatibility. Inter-disciplinary collaboration between the research team, IT and IRB offices is crucial in order to conduct an ethicallyappropriate technically-functional online survey. Online survey methods hold great promise for surveying SRH and other sensitive topics in Lebanon and the MENA.

Tool path strategy and cutting process monitoring in intelligent machining

NASA Astrophysics Data System (ADS)

Chen, Ming; Wang, Chengdong; An, Qinglong; Ming, Weiwei

2018-06-01

Intelligent machining is a current focus in advanced manufacturing technology, and is characterized by high accuracy and efficiency. A central technology of intelligent machining—the cutting process online monitoring and optimization—is urgently needed for mass production. In this research, the cutting process online monitoring and optimization in jet engine impeller machining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligent machining. Results show that intelligent tool path optimization and cutting process online monitoring are efficient techniques for improving the efficiency, quality, and reliability of machining.

[Online endpoint detection algorithm for blending process of Chinese materia medica].

PubMed

Lin, Zhao-Zhou; Yang, Chan; Xu, Bing; Shi, Xin-Yuan; Zhang, Zhi-Qiang; Fu, Jing; Qiao, Yan-Jiang

2017-03-01

Blending process, which is an essential part of the pharmaceutical preparation, has a direct influence on the homogeneity and stability of solid dosage forms. With the official release of Guidance for Industry PAT, online process analysis techniques have been more and more reported in the applications in blending process, but the research on endpoint detection algorithm is still in the initial stage. By progressively increasing the window size of moving block standard deviation (MBSD), a novel endpoint detection algorithm was proposed to extend the plain MBSD from off-line scenario to online scenario and used to determine the endpoint in the blending process of Chinese medicine dispensing granules. By online learning of window size tuning, the status changes of the materials in blending process were reflected in the calculation of standard deviation in a real-time manner. The proposed method was separately tested in the blending processes of dextrin and three other extracts of traditional Chinese medicine. All of the results have shown that as compared with traditional MBSD method, the window size changes according to the proposed MBSD method (progressively increasing the window size) could more clearly reflect the status changes of the materials in blending process, so it is suitable for online application. Copyright© by the Chinese Pharmaceutical Association.

Application on-line imagery for photogrammetry comparison of natural hazards events

NASA Astrophysics Data System (ADS)

Voumard, Jérémie; Jaboyedoff, Michel; Derron, Marc-Henri

2015-04-01

The airborne (ALS) and terrestrial laser scanner (TLS) technologies are well known and actually one of the most common technics to obtain 3D terrain models. However those technologies are expensive and logistically demanding. Another way to obtain DEM without those inconveniences is photogrammetry, in particular the structure from motion (SfM) technic that allows high quality 3D model extraction from common digital camera images without need of a expensive material. If the usual way to get images for SfM 3D modelling is to take pictures on-site, on-line imagery offer the possibility to get images from many roads and other places. The most common on-line street view resource is Google Street View. Since April 2014, this service proposes a back-in-time function on a certain number of locations. Google Street View images are composed from many pictures taken with a set of panoramic cameras mounted on a platform like a car roof. Those images are affected by strong deformations, which are not recommended for photogrammetry. At first sight, using street view images to make photogrammetry may bring some processing problems. The aim of this project is to study the possibility to made SfM 3D model from Google Street View images with open source processing software (Visual SFM) and low-cost software (Agisoft). The main interest of this method is to evaluate at low cost changes without terrain visit. Study areas are landslides (such those of Séchilienne in France) and cliffs near or far away from roads. Human-made terrain changes like stone wall collapse by high rain precipitations near of Monaco are also studied. For each case, 50 to 200 pictures have been used. The mains conditions to obtain 3D model results are: to have a street view image of the area of interest. Some countries like USA or France are well documented. Other countries like Switzerland are only partially or not at all like Germany. The second constraint is to have two or more sets of images at different time. Third condition is to have enough quality images. Over- or underexposed images, bad meteorological conditions (fog, rain, etc.) or bad images resolution compromise the SfM process. In our case studies, distances from the road to the object of interest range from 1 to 500 m. First results show that SfM processing with on-line images is not obvious. Poor-resolution and deformed images with unknown camera features make the process often difficult and not predictive. The use of Agisoft software give bad results because of the abovementioned features while Visual SFM give interesting results for about two thirds of cases. It is also demonstrated that 3D photogrammetry is possible with on-line images under certain restrictive conditions. Under these conditions of images quality, this technique can then be used to estimate volumes changes.

The Use of Online Annotations in Reading Instruction and Its Impact on Students' Reading Progress and Processes

ERIC Educational Resources Information Center

Yeh, Hui-Chin; Hung, Hsiu-Ting; Chiang, Yu-Hsin

2017-01-01

Studies suggest that the incorporation of online annotations in reading instruction can improve students' reading comprehension. However, little research has addressed how students use online annotations in their reading processes and how such use may lead to their improvement. This study thus adopted Reciprocal Teaching (RT) as an instructional…

The Community of Inquiry Framework Meets the SOLO Taxonomy: A Process-Product Model of Online Learning

ERIC Educational Resources Information Center

Shea, Peter; Gozza-Cohen, Mary; Uzuner, Sedef; Mehta, Ruchi; Valtcheva, Anna Valentinova; Hayes, Suzanne; Vickers, Jason

2011-01-01

This paper presents both a conceptual and empirical investigation of teaching and learning in online courses. Employing both the Community of Inquiry framework (CoI) and the Structure of Observed Learning Outcomes (SOLO) taxonomy, two complete online courses were examined for the quality of both collaborative learning processes and learning…

Bedwetting: Glossary for Kids

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National Kidney Foundation Newsroom

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Rate Your Risk Quiz

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Azelaic Acid Topical

MedlinePlus

... the bacteria that infect pores and by decreasing production of keratin, a natural substance that can lead ... send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http:// ...

Carnegie Science Academy Web Site

NASA Astrophysics Data System (ADS)

Kotwicki, John; Atzinger, Joe; Turso, Denise

1997-11-01

The Carnegie Science Academy is a professional society "For Teens...By Teens" at the Carnegie Science Center in Pittsburgh. The CSA Web Site [ http://csa.clpgh.org ] is designed for teens who have an interest in science and technology. This online or virtual science academy provides resources for teens in high school science classes. The Web site also allows students around the world to participate and communicate with other students, discuss current events in science, share opinions, find answers to questions, or make online friends. Visitors can enjoy the main components of the site or sign up for a free membership which allows access to our chat room for monthly meeting, online newsletter, members forum, and much more. Main components to the site include a spot for cool links and downloads, available for any visitor to download or view. Online exhibits are created by students to examine and publish an area of study and also allow teachers to easily post classroom activities as exhibits by submitting pictures and text. Random Access, the interactive part of the academy, allows users to share ideas and opinions. Planet CSA focuses on current events in science and the academy. In the future the CSA Web site will become a major resource for teens and science teachers providing materials that will allow students to further enhance their interest and experiences in science.

Application of Online Discussion and Cooperative Learning Strategies to Online and Blended College Courses

ERIC Educational Resources Information Center

Lynch, Douglas J.

2010-01-01

Effective online instructional practices may be applied to online and blended college courses. Carefully orchestrated online discussions support learning well beyond the limited face-to-face course time. Students gain greater depth of academic understanding and leadership skills if cooperative learning groups use research-based process and…

Effects of Online Mentoring in Computer-Supported Collaborative Learning Environments: Mentor Presence and Cognitive Engagement

ERIC Educational Resources Information Center

Dorner, Helga

2012-01-01

This study examines online mentor roles and effects with the online mentoring process in computer-supported collaborative learning environments in communities of in-service teachers. Interest in the online mentors' activity encompassed their participation in the online interactions, the influence of their activity on participants' patterns of…

Determinants of Student Satisfaction in Online Tutorial: A Study of A Distance Education Institution

ERIC Educational Resources Information Center

Harsasi, Meirani; Sutawijaya, Adrian

2018-01-01

Education system nowadays tends to utilize online learning, including in higher education. Online learning system becomes a major requirement in implementing learning process, including in Indonesia. Universitas Terbuka has implemented online learning system known as online tutorials to support the distance learning system. One interesting issue…

75 FR 71376 - Simplified Network Application Processing System, On-Line Registration and Account Maintenance

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-23

...-02] RIN 0694-AE98 Simplified Network Application Processing System, On-Line Registration and Account...'') electronically via BIS's Simplified Network Application Processing (SNAP-R) system. Currently, parties must... Network Applications Processing System (SNAP-R) in October 2006. The SNAP-R system provides a Web based...

Monitoring of Students' Interaction in Online Learning Settings by Structural Network Analysis and Indicators.

PubMed

Ammenwerth, Elske; Hackl, Werner O

2017-01-01

Learning as a constructive process works best in interaction with other learners. Support of social interaction processes is a particular challenge within online learning settings due to the spatial and temporal distribution of participants. It should thus be carefully monitored. We present structural network analysis and related indicators to analyse and visualize interaction patterns of participants in online learning settings. We validate this approach in two online courses and show how the visualization helps to monitor interaction and to identify activity profiles of learners. Structural network analysis is a feasible approach for an analysis of the intensity and direction of interaction in online learning settings.

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

Abercrombie, Robert K; Udoeyop, Akaninyene W; Schlicher, Bob G

This work examines a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, patents, news archives, andmore » online mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain we investigated.« less

Functional anatomy of temporal organisation and domain-specificity of episodic memory retrieval.

PubMed

Kwok, Sze Chai; Shallice, Tim; Macaluso, Emiliano

2012-10-01

Episodic memory provides information about the "when" of events as well as "what" and "where" they happened. Using functional imaging, we investigated the domain specificity of retrieval-related processes following encoding of complex, naturalistic events. Subjects watched a 42-min TV episode, and 24h later, made discriminative choices of scenes from the clip during fMRI. Subjects were presented with two scenes and required to either choose the scene that happened earlier in the film (Temporal), or the scene with a correct spatial arrangement (Spatial), or the scene that had been shown (Object). We identified a retrieval network comprising the precuneus, lateral and dorsal parietal cortex, middle frontal and medial temporal areas. The precuneus and angular gyrus are associated with temporal retrieval, with precuneal activity correlating negatively with temporal distance between two happenings at encoding. A dorsal fronto-parietal network engages during spatial retrieval, while antero-medial temporal regions activate during object-related retrieval. We propose that access to episodic memory traces involves different processes depending on task requirements. These include memory-searching within an organised knowledge structure in the precuneus (Temporal task), online maintenance of spatial information in dorsal fronto-parietal cortices (Spatial task) and combining scene-related spatial and non-spatial information in the hippocampus (Object task). Our findings support the proposal of process-specific dissociations of retrieval. Copyright © 2012 Elsevier Ltd. All rights reserved.

Functional anatomy of temporal organisation and domain-specificity of episodic memory retrieval

PubMed Central

Kwok, Sze Chai; Shallice, Tim; Macaluso, Emiliano

2013-01-01

Episodic memory provides information about the “when” of events as well as “what” and “where” they happened. Using functional imaging, we investigated the domain specificity of retrieval-related processes following encoding of complex, naturalistic events. Subjects watched a 42-min TV episode, and 24 h later, made discriminative choices of scenes from the clip during fMRI. Subjects were presented with two scenes and required to either choose the scene that happened earlier in the film (Temporal), or the scene with a correct spatial arrangement (Spatial), or the scene that had been shown (Object). We identified a retrieval network comprising the precuneus, lateral and dorsal parietal cortex, middle frontal and medial temporal areas. The precuneus and angular gyrus are associated with temporal retrieval, with precuneal activity correlating negatively with temporal distance between two happenings at encoding. A dorsal fronto-parietal network engages during spatial retrieval, while antero-medial temporal regions activate during object-related retrieval. We propose that access to episodic memory traces involves different processes depending on task requirements. These include memory-searching within an organised knowledge structure in the precuneus (Temporal task), online maintenance of spatial information in dorsal fronto-parietal cortices (Spatial task) and combining scene-related spatial and non-spatial information in the hippocampus (Object task). Our findings support the proposal of process-specific dissociations of retrieval. PMID:22877840

A GIS Based 3D Online Decision Assistance System for Underground Energy Storage in Northern Germany

NASA Astrophysics Data System (ADS)

Nolde, M.; Schwanebeck, M.; Biniyaz, E.; Duttmann, R.

2014-12-01

We would like to present a GIS-based 3D online decision assistance system for underground energy storage. Its aim is to support the local land use planning authorities through pre-selection of possible sites for thermal, electrical and substantial underground energy storages. Since the extension of renewable energies has become legal requirement in Germany, the underground storing of superfluously produced green energy (such as during a heavy wind event) in the form of compressed air, gas or heated water has become increasingly important. However, the selection of suitable sites is a complex task. The assistance system uses data of geological features such as rock layers, salt caverns and faults enriched with attribute data such as rock porosity and permeability. This information is combined with surface data of the existing energy infrastructure, such as locations of wind and biogas stations, power line arrangement and cable capacity, and energy distribution stations. Furthermore, legal obligations such as protected areas on the surface and current underground mining permissions are used for the decision finding process. Not only the current situation but also prospective scenarios, such as expected growth in produced amount of energy are incorporated in the system. The decision process is carried out via the 'Analytic Hierarchy Process' (AHP) methodology of the 'Multi Object Decision Making' (MODM) approach. While the process itself is completely automated, the user has full control of the weighting of the different factors via the web interface. The system is implemented as an online 3D server GIS environment, with no software needed to be installed on the user side. The results are visualized as interactive 3d graphics. The implementation of the assistance system is based exclusively on free and open source software, and utilizes the 'Python' programming language in combination with current web technologies, such as 'HTML5', 'CSS3' and 'JavaScript'. It is developed at Kiel University for the federal state of Schleswig-Holstein in northern Germany. This work is part of project 'ANGUS+', lead by Prof. Dr. Sebastian Bauer and funded by the German Ministry for Education and Research (BMBF).

Tapir: A web interface for transit/eclipse observability

NASA Astrophysics Data System (ADS)

Jensen, Eric

2013-06-01

Tapir is a set of tools, written in Perl, that provides a web interface for showing the observability of periodic astronomical events, such as exoplanet transits or eclipsing binaries. The package provides tools for creating finding charts for each target and airmass plots for each event. The code can access target lists that are stored on-line in a Google spreadsheet or in a local text file.

Language Context Effects on Interlingual Homograph Recognition: Evidence from Event-Related Potentials and Response Times in Semantic Priming.

ERIC Educational Resources Information Center

de Bruijn, Ellen R. A.; Dijkstra, Ton; Chwilla, Dorothee J.; Schriefers, Herbert J.

2001-01-01

Dutch-English bilinguals performed a generalized lexical decision task on triplets of items, responding with "yes" if all items wee correct Dutch and/or English words, and with "no" if one or ore of the items was not a word in wither language. Semantic priming effects were found in on-line response times. Event-related…

The data acquisition of OLGA II; An application of the PSI TANDEM system

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

Jost, D.T.; Vermeulen, D.

1992-04-01

This paper describes the data acquisition of the on-line gas-chemistry apparatus (OLGA II). OLGA II is used to investigate the chemical behavior of volatile molecules of short lives isotopes. Special emphasis is given to the presentation of the PSI tandem data acquisition system used in these experiments. Time stamped event-by-event recording is used to follow radioactive decay chains.

Flu Season and Your Kidneys

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Organ Donation and Transplantation Statistics

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Medications to Treat Bed-Wetting

MedlinePlus

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Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection.

PubMed

Hu, Weiming; Gao, Jun; Wang, Yanguo; Wu, Ou; Maybank, Stephen

2014-01-01

Current network intrusion detection systems lack adaptability to the frequently changing network environments. Furthermore, intrusion detection in the new distributed architectures is now a major requirement. In this paper, we propose two online Adaboost-based intrusion detection algorithms. In the first algorithm, a traditional online Adaboost process is used where decision stumps are used as weak classifiers. In the second algorithm, an improved online Adaboost process is proposed, and online Gaussian mixture models (GMMs) are used as weak classifiers. We further propose a distributed intrusion detection framework, in which a local parameterized detection model is constructed in each node using the online Adaboost algorithm. A global detection model is constructed in each node by combining the local parametric models using a small number of samples in the node. This combination is achieved using an algorithm based on particle swarm optimization (PSO) and support vector machines. The global model in each node is used to detect intrusions. Experimental results show that the improved online Adaboost process with GMMs obtains a higher detection rate and a lower false alarm rate than the traditional online Adaboost process that uses decision stumps. Both the algorithms outperform existing intrusion detection algorithms. It is also shown that our PSO, and SVM-based algorithm effectively combines the local detection models into the global model in each node; the global model in a node can handle the intrusion types that are found in other nodes, without sharing the samples of these intrusion types.

Memory Allocation: Mechanisms and Function.

PubMed

Josselyn, Sheena A; Frankland, Paul W

2018-04-25

Memories for events are thought to be represented in sparse, distributed neuronal ensembles (or engrams). In this article, we review how neurons are chosen to become part of a particular engram, via a process of neuronal allocation. Experiments in rodents indicate that eligible neurons compete for allocation to a given engram, with more excitable neurons winning this competition. Moreover, fluctuations in neuronal excitability determine how engrams interact, promoting either memory integration (via coallocation to overlapping engrams) or separation (via disallocation to nonoverlapping engrams). In parallel with rodent studies, recent findings in humans verify the importance of this memory integration process for linking memories that occur close in time or share related content. A deeper understanding of allocation promises to provide insights into the logic underlying how knowledge is normally organized in the brain and the disorders in which this process has gone awry. Expected final online publication date for the Annual Review of Neuroscience Volume 41 is July 8, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

The electrophysiological underpinnings of processing gender stereotypes in language.

PubMed

Siyanova-Chanturia, Anna; Pesciarelli, Francesca; Cacciari, Cristina

2012-01-01

Despite the widely documented influence of gender stereotypes on social behaviour, little is known about the electrophysiological substrates engaged in the processing of such information when conveyed by language. Using event-related brain potentials (ERPs), we examined the brain response to third-person pronouns (lei "she" and lui "he") that were implicitly primed by definitional (passeggera(FEM) "passenger", pensionato(MASC) "pensioner"), or stereotypical antecedents (insegnante "teacher", conducente "driver"). An N400-like effect on the pronoun emerged when it was preceded by a definitionally incongruent prime (passeggera(FEM)--lui; pensionato(MASC)--lei), and a stereotypically incongruent prime for masculine pronouns only (insegnante--lui). In addition, a P300-like effect was found when the pronoun was preceded by definitionally incongruent primes. However, this effect was observed for female, but not male participants. Overall, these results provide further evidence for on-line effects of stereotypical gender in language comprehension. Importantly, our results also suggest a gender stereotype asymmetry in that male and female stereotypes affected the processing of pronouns differently.

Enabling Responsible Energy Decisions: What People Know, Want to Know, and Need to Know about Climate Change

NASA Astrophysics Data System (ADS)

PytlikZillig, L. M.; Tomkins, A. J.; Harrington, J. A.

2012-12-01

As part of a broader regional effort focused on climate change education and rural communities, this paper focuses on a specific effort to understand effective approaches to two presumably complementary goals: The goal of increasing knowledge about climate change and climate science in a community, and the goal of having communities use climate change and climate science information when making decisions. In this paper, we explore the argument that people do not need or want to know about climate change, in order to make responsible and sustainable energy decisions. Furthermore, we hypothesize that involvement in making responsible and sustainable energy decisions will increase openness and readiness to process climate science information, and thus increase learning about climate change in subsequent exposures to such information. Support for these hypotheses would suggest that rather than encouraging education to enable action (including engagement in attempts to make responsible decisions), efforts should focus on encouraging actions first and education second. To investigate our hypotheses, we will analyze and report results from efforts to engage residents from a medium-sized Midwestern city to give input on future programs involving sustainable energy use. The engagement process (which will not be complete until after the AGU deadline) involves an online survey and an optional face-to-face discussion with city officials and experts in energy-related areas. The online survey includes brief information about current local energy programs, questions assessing knowledge of climate change, and an open-ended question asking what additional information residents need in order to make good decisions and recommendations concerning the energy programs. To examine support for our hypotheses, we will report (1) relationships between subjective and objective knowledge of climate science and willingness to attend the face-to-face discussion about the city's energy decisions and actual attendance at the event, (2) a content analysis of what residents say they want and need to know in order to make decisions and recommendations about the city's energy programs, and (3) pilot results from a comparison of learning from a reading about climate change presented prior to the event, after the event, or presented to those who were willing to attend the face-to-face event but did not attend. We will discuss the results in terms of their implications for the relationship between knowledge and behavior, versus change in knowledge and change in behavior.

VizieR Online Data Catalog: Frequency of snowline-region planets (Shvartzvald+, 2016)

NASA Astrophysics Data System (ADS)

Shvartzvald, Y.; Maoz, D.; Udalski, A.; Sumi, T.; Friedmann, M.; Kaspi, S.; Poleski, R.; Szymanski, M. K.; Skowron, J.; Kozlowski, S.; Wyrzykowski, L.; Mroz, P.; Pietrukowicz, P.; Pietrzynski, G.; Soszynski, I.; Ulaczyk, K.; Abe, F.; Barry, R. K.; Bennett, D. P.; Bhattacharya, A.; Bond, I. A.; Freeman, M.; Inayama, K.; Itow, Y.; Koshimoto, N.; Ling, C. H.; Masuda, K.; Fukui, A.; Matsubara, Y.; Muraki, Y.; Ohnishi, K.; Rattenbury, N. J.; Saito, T.; Sullivan, D. J.; Suzuki, D.; Tristram, P. J.; Wakiyama, Y.; Yonehara, A.

2017-06-01

Our genII survey network is a collaboration between three groups: OGLE, MOA, and Wise. The OGLE and MOA groups regularly monitor a large region of the Galactic bulge, and routinely identify and monitor microlensing events. The Wise group monitors a field of 8 deg2, within the observational footprints of both OGLE and MOA, having the highest event rates based on previous years' observations (see Shvartzvald & Maoz, 2012MNRAS.419.3631S). The sample of microlensing events analysed here consists of 224 events from the 2011-2014 bulge seasons, observed by all three groups, and with each group having data near the peak of the event. (1 data file).

Application of ASP Technology to Realize the Online Administrative License of the earthquake in Hunan Province

NASA Astrophysics Data System (ADS)

Tang, Hongliang; Kang, Chengxu; Tian, Youping

2018-01-01

Realizing the online handling of administrative approval of earthquakes is an important measure to improve work efficiency and facilitate people’s convenience. Based on the analysis of the characteristics and processes of the administrative licensing in the earthquake industry, this paper proposes an online processing model based on ASP technology and an online processing system based on B/S architecture. This paper presents the design and implementation methods. The application of the system shows that the system is simple in design and full in function, and can be used on mobile platforms such as computers and mobile phones, and has good practicability and forward-lookingness.

Perceptual chunking and its effect on memory in speech processing: ERP and behavioral evidence

PubMed Central

Gilbert, Annie C.; Boucher, Victor J.; Jemel, Boutheina

2014-01-01

We examined how perceptual chunks of varying size in utterances can influence immediate memory of heard items (monosyllabic words). Using behavioral measures and event-related potentials (N400) we evaluated the quality of the memory trace for targets taken from perceived temporal groups (TGs) of three and four items. Variations in the amplitude of the N400 showed a better memory trace for items presented in TGs of three compared to those in groups of four. Analyses of behavioral responses along with P300 components also revealed effects of chunk position in the utterance. This is the first study to measure the online effects of perceptual chunks on the memory trace of spoken items. Taken together, the N400 and P300 responses demonstrate that the perceptual chunking of speech facilitates information buffering and a processing on a chunk-by-chunk basis. PMID:24678304

Perceptual chunking and its effect on memory in speech processing: ERP and behavioral evidence.

PubMed

Gilbert, Annie C; Boucher, Victor J; Jemel, Boutheina

2014-01-01

We examined how perceptual chunks of varying size in utterances can influence immediate memory of heard items (monosyllabic words). Using behavioral measures and event-related potentials (N400) we evaluated the quality of the memory trace for targets taken from perceived temporal groups (TGs) of three and four items. Variations in the amplitude of the N400 showed a better memory trace for items presented in TGs of three compared to those in groups of four. Analyses of behavioral responses along with P300 components also revealed effects of chunk position in the utterance. This is the first study to measure the online effects of perceptual chunks on the memory trace of spoken items. Taken together, the N400 and P300 responses demonstrate that the perceptual chunking of speech facilitates information buffering and a processing on a chunk-by-chunk basis.

Electronic SSKIN pathway: reducing device-related pressure ulcers.

PubMed

Campbell, Natalie

2016-08-11

This article describes how an interprofessional project in a London NHS Foundation Trust was undertaken to develop an intranet-based medical device-related pressure ulcer prevention and management pathway for clinical staff working across an adult critical care directorate, where life-threatening events require interventions using medical devices. The aim of this project was to improve working policies and processes to define key prevention strategies and provide clinicians with a clear, standardised approach to risk and skin assessment, equipment use, documentation and reporting clinical data using the Trust's CareVue (electronic medical records), Datix (incident reporting and risk-management tool) and eTRACE (online clinical protocol ordering) systems. The process included the development, trial and local implementation of the pathway using collaborative teamwork and the SSKIN care bundle tool. The experience of identifying issues, overcoming challenges, defining best practice and cascading SSKIN awareness training is shared.

Flow measurements in sewers based on image analysis: automatic flow velocity algorithm.

PubMed

Jeanbourquin, D; Sage, D; Nguyen, L; Schaeli, B; Kayal, S; Barry, D A; Rossi, L

2011-01-01

Discharges of combined sewer overflows (CSOs) and stormwater are recognized as an important source of environmental contamination. However, the harsh sewer environment and particular hydraulic conditions during rain events reduce the reliability of traditional flow measurement probes. An in situ system for sewer water flow monitoring based on video images was evaluated. Algorithms to determine water velocities were developed based on image-processing techniques. The image-based water velocity algorithm identifies surface features and measures their positions with respect to real world coordinates. A web-based user interface and a three-tier system architecture enable remote configuration of the cameras and the image-processing algorithms in order to calculate automatically flow velocity on-line. Results of investigations conducted in a CSO are presented. The system was found to measure reliably water velocities, thereby providing the means to understand particular hydraulic behaviors.

Fluctuating Minds: Spontaneous Psychophysical Variability during Mind-Wandering

PubMed Central

Henríquez, Rodrigo A.; Chica, Ana B.; Billeke, Pablo; Bartolomeo, Paolo

2016-01-01

Mind-wandering is the occasional distraction we experience while performing a cognitive task. It arises without any external precedent, varies over time, and interferes with the processing of sensory information. Here, we asked whether the transition from the on-task state to mind-wandering is a gradual process or an abrupt event. We developed a new experimental approach, based on the continuous, online assessment of individual psychophysical performance. Probe questions were asked whenever response times (RTs) exceeded 2 standard deviations from the participant’s average RT. Results showed that mind-wandering reports were generally preceded by slower RTs, as compared to trials preceding on-task reports. Mind-wandering episodes could be reliably predicted from the response time difference between the last and the second-to-last trials. Thus, mind-wandering reports follow an abrupt increase in behavioral variability, lasting between 2.5 and 10 seconds. PMID:26863144

Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.

PubMed

Mainsah, B O; Reeves, G; Collins, L M; Throckmorton, C S

2017-08-01

The role of a brain-computer interface (BCI) is to discern a user's intended message or action by extracting and decoding relevant information from brain signals. Stimulus-driven BCIs, such as the P300 speller, rely on detecting event-related potentials (ERPs) in response to a user attending to relevant or target stimulus events. However, this process is error-prone because the ERPs are embedded in noisy electroencephalography (EEG) data, representing a fundamental problem in communication of the uncertainty in the information that is received during noisy transmission. A BCI can be modeled as a noisy communication system and an information-theoretic approach can be exploited to design a stimulus presentation paradigm to maximize the information content that is presented to the user. However, previous methods that focused on designing error-correcting codes failed to provide significant performance improvements due to underestimating the effects of psycho-physiological factors on the P300 ERP elicitation process and a limited ability to predict online performance with their proposed methods. Maximizing the information rate favors the selection of stimulus presentation patterns with increased target presentation frequency, which exacerbates refractory effects and negatively impacts performance within the context of an oddball paradigm. An information-theoretic approach that seeks to understand the fundamental trade-off between information rate and reliability is desirable. We developed a performance-based paradigm (PBP) by tuning specific parameters of the stimulus presentation paradigm to maximize performance while minimizing refractory effects. We used a probabilistic-based performance prediction method as an evaluation criterion to select a final configuration of the PBP. With our PBP, we demonstrate statistically significant improvements in online performance, both in accuracy and spelling rate, compared to the conventional row-column paradigm. By accounting for refractory effects, an information-theoretic approach can be exploited to significantly improve BCI performance across a wide range of performance levels.

A new automatic synthetic aperture radar-based flood mapping application hosted on the European Space Agency's Grid Processing of Demand Fast Access to Imagery environment

NASA Astrophysics Data System (ADS)

Matgen, Patrick; Giustarini, Laura; Hostache, Renaud

2012-10-01

This paper introduces an automatic flood mapping application that is hosted on the Grid Processing on Demand (GPOD) Fast Access to Imagery (Faire) environment of the European Space Agency. The main objective of the online application is to deliver operationally flooded areas using both recent and historical acquisitions of SAR data. Having as a short-term target the flooding-related exploitation of data generated by the upcoming ESA SENTINEL-1 SAR mission, the flood mapping application consists of two building blocks: i) a set of query tools for selecting the "crisis image" and the optimal corresponding "reference image" from the G-POD archive and ii) an algorithm for extracting flooded areas via change detection using the previously selected "crisis image" and "reference image". Stakeholders in flood management and service providers are able to log onto the flood mapping application to get support for the retrieval, from the rolling archive, of the most appropriate reference image. Potential users will also be able to apply the implemented flood delineation algorithm. The latter combines histogram thresholding, region growing and change detection as an approach enabling the automatic, objective and reliable flood extent extraction from SAR images. Both algorithms are computationally efficient and operate with minimum data requirements. The case study of the high magnitude flooding event that occurred in July 2007 on the Severn River, UK, and that was observed with a moderateresolution SAR sensor as well as airborne photography highlights the performance of the proposed online application. The flood mapping application on G-POD can be used sporadically, i.e. whenever a major flood event occurs and there is a demand for SAR-based flood extent maps. In the long term, a potential extension of the application could consist in systematically extracting flooded areas from all SAR images acquired on a daily, weekly or monthly basis.

Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction

NASA Astrophysics Data System (ADS)

Mainsah, B. O.; Reeves, G.; Collins, L. M.; Throckmorton, C. S.

2017-08-01

Objective. The role of a brain-computer interface (BCI) is to discern a user’s intended message or action by extracting and decoding relevant information from brain signals. Stimulus-driven BCIs, such as the P300 speller, rely on detecting event-related potentials (ERPs) in response to a user attending to relevant or target stimulus events. However, this process is error-prone because the ERPs are embedded in noisy electroencephalography (EEG) data, representing a fundamental problem in communication of the uncertainty in the information that is received during noisy transmission. A BCI can be modeled as a noisy communication system and an information-theoretic approach can be exploited to design a stimulus presentation paradigm to maximize the information content that is presented to the user. However, previous methods that focused on designing error-correcting codes failed to provide significant performance improvements due to underestimating the effects of psycho-physiological factors on the P300 ERP elicitation process and a limited ability to predict online performance with their proposed methods. Maximizing the information rate favors the selection of stimulus presentation patterns with increased target presentation frequency, which exacerbates refractory effects and negatively impacts performance within the context of an oddball paradigm. An information-theoretic approach that seeks to understand the fundamental trade-off between information rate and reliability is desirable. Approach. We developed a performance-based paradigm (PBP) by tuning specific parameters of the stimulus presentation paradigm to maximize performance while minimizing refractory effects. We used a probabilistic-based performance prediction method as an evaluation criterion to select a final configuration of the PBP. Main results. With our PBP, we demonstrate statistically significant improvements in online performance, both in accuracy and spelling rate, compared to the conventional row-column paradigm. Significance. By accounting for refractory effects, an information-theoretic approach can be exploited to significantly improve BCI performance across a wide range of performance levels.

ADAPT

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

Reynolds, John; Jankovsky, Zachary; Metzroth, Kyle G

2018-04-04

The purpose of the ADAPT code is to generate Dynamic Event Trees (DET) using a user specified set of simulators. ADAPT can utilize any simulation tool which meets a minimal set of requirements. ADAPT is based on the concept of DET which uses explicit modeling of the deterministic dynamic processes that take place during a nuclear reactor plant system (or other complex system) evolution along with stochastic modeling. When DET are used to model various aspects of Probabilistic Risk Assessment (PRA), all accident progression scenarios starting from an initiating event are considered simultaneously. The DET branching occurs at user specifiedmore » times and/or when an action is required by the system and/or the operator. These outcomes then decide how the dynamic system variables will evolve in time for each DET branch. Since two different outcomes at a DET branching may lead to completely different paths for system evolution, the next branching for these paths may occur not only at separate times, but can be based on different branching criteria. The computational infrastructure allows for flexibility in ADAPT to link with different system simulation codes, parallel processing of the scenarios under consideration, on-line scenario management (initiation as well as termination), analysis of results, and user friendly graphical capabilities. The ADAPT system is designed for a distributed computing environment; the scheduler can track multiple concurrent branches simultaneously. The scheduler is modularized so that the DET branching strategy can be modified (e.g. biasing towards the worst-case scenario/event). Independent database systems store data from the simulation tasks and the DET structure so that the event tree can be constructed and analyzed later. ADAPT is provided with a user-friendly client which can easily sort through and display the results of an experiment, precluding the need for the user to manually inspect individual simulator runs.« less

Geodetic Infrastructure, Data, Education and Community Engagement in Response to Earthquakes and Other Geophysical Events: An Overview of UNAVCO Support Resources Plus Highlights from Recent Event Response

NASA Astrophysics Data System (ADS)

Phillips, D. A.; Meertens, C. M.; Mattioli, G. S.; Miller, M. M.; Charlevoix, D. J.; Maggert, D.; Hodgkinson, K. M.; Henderson, D. B.; Puskas, C. M.; Bartel, B. A.; Baker, S.; Blume, F.; Normandeau, J.; Feaux, K.; Galetzka, J.; Williamson, H.; Pettit, J.; Crosby, C. J.; Boler, F. M.

2015-12-01

UNAVCO responds to community requests for support during and following significant geophysical events such as earthquakes, volcanic activity, landslides, glacial and ice-sheet movements, unusual uplift or subsidence, extreme meteorological events, or other hazards. UNAVCO can also respond proactively to events in anticipation of community demand for relevant data, data products or other services. Recent major events to which UNAVCO responded include the 2015 M7.8 Nepal EQ, the 2014 M6.0 American Canyon (Napa) EQ, the 2014 M8.2 Chile EQ, the 2011 M9.0 Tohoku, Japan EQ and tsunami, the 2010 M8.8 Maule, Chile EQ, and the 2010 M7.0 Haiti EQ. UNAVCO provided geophysical event response support for 15 events in 2014 alone. UNAVCO event response resources include geodetic infrastructure, data, and education and community engagement. Specific support resources include: field engineering personnel; continuous and campaign GNSS/GPS station deployment; real-time and/or high rate field GNSS/GPS station upgrades or deployment; data communications and power systems deployment; tiltmeter, strainmeter, and borehole seismometer deployments; terrestrial laser scanning (TLS a.k.a. ground-based LiDAR); InSAR data support; education and community engagement assistance or products; data processing services; generation of custom GNSS/GPS or borehole data sets and products; equipment shipping and logistics coordination; and assistance with RAPID proposal preparation, budgeting, and submission. The most critical aspect of a successful event response is effective and efficient communication. To facilitate such communication, UNAVCO creates event response web pages describing the event and the support being provided, and in the case of major events also provides an online event response forum. These resources are shared broadly with the geophysical community through multiple dissemination strategies including social media of UNAVCO and partner organizations. We will provide an overview of resources available to the community from UNAVCO in response to events. We will also highlight examples of the infrastructure, data and data products, and education and community engagement support provided by UNAVCO for major recent events.

Denosumab Effective for Multiple Myeloma and Solid Tumors

Cancer.gov

Results from a randomized phase III trial of denosumab to prevent skeletal related events in several types of cancer were published online February 22, 2011, in the Journal of Clinical Oncology (JCO).

Skin Rashes Due to Bed-Wetting

MedlinePlus

... NKF Online Communities Featured Story Want to save money on your prescriptions? Introducing a new discount card ... Events and Galas Spring Clinical Meetings KEEP Healthy - Free Kidney Health checks Your Kidneys and You Meetings ...

Rufinamide

MedlinePlus

... unusual problems while taking this medication.If you experience a serious side effect, you or your doctor may send a report to the Food and Drug Administration's (FDA) MedWatch Adverse Event Reporting program online (http://www.fda.gov/ ...

Keyword: help! Online resources for disaster preparedness.

PubMed

Hart, Amadie H; Cushman, Margaret J

2002-01-01

Health care organizations such as home care agencies should have post-disaster contingency plans in place that include contacts with the local, county, or state emergency management office, local branch of the Red Cross, and a clearly identified point person within the agency to coordinate disaster response efforts. Home care agencies must plan for the far-reaching effects that disasters can have on people in the community. This article provides some online resources to help you, your organization, and your family prepare for unexpected events.

Does the Type of Event Influence How User Interactions Evolve on Twitter?

PubMed Central

del Val, Elena; Rebollo, Miguel; Botti, Vicente

2015-01-01

The number of people using on-line social networks as a new way of communication is continually increasing. The messages that a user writes in these networks and his/her interactions with other users leave a digital trace that is recorded. Thanks to this fact and the use of network theory, the analysis of messages, user interactions, and the complex structures that emerge is greatly facilitated. In addition, information generated in on-line social networks is labeled temporarily, which makes it possible to go a step further analyzing the dynamics of the interaction patterns. In this article, we present an analysis of the evolution of user interactions that take place in television, socio-political, conference, and keynote events on Twitter. Interactions have been modeled as networks that are annotated with the time markers. We study changes in the structural properties at both the network level and the node level. As a result of this analysis, we have detected patterns of network evolution and common structural features as well as differences among the events. PMID:25961305

Real-time envelope cross-correlation detector: application to induced seismicity in the Insheim and Landau deep geothermal reservoirs

NASA Astrophysics Data System (ADS)

Vasterling, Margarete; Wegler, Ulrich; Becker, Jan; Brüstle, Andrea; Bischoff, Monika

2017-01-01

We develop and test a real-time envelope cross-correlation detector for use in seismic response plans to mitigate hazard of induced seismicity. The incoming seismological data are cross-correlated in real-time with a set of previously recorded master events. For robustness against small changes in the earthquake source locations or in the focal mechanisms we cross-correlate the envelopes of the seismograms rather than the seismograms themselves. Two sequenced detection conditions are implemented: After passing a single trace cross-correlation condition, a network cross-correlation is calculated taking amplitude ratios between stations into account. Besides detecting the earthquake and assigning it to the respective reservoir, real-time magnitudes are important for seismic response plans. We estimate the magnitudes of induced microseismicity using the relative amplitudes between master event and detected event. The real-time detector is implemented as a SeisComP3 module. We carry out offline and online performance tests using seismic monitoring data of the Insheim and Landau geothermal power plants (Upper Rhine Graben, Germany), also including blasts from a nearby quarry. The comparison of the automatic real-time catalogue with a manually processed catalogue shows, that with the implemented parameters events are always correctly assigned to the respective reservoir (4 km distance between reservoirs) or the quarry (8 km and 10 km distance, respectively, from the reservoirs). The real-time catalogue achieves a magnitude of completeness around 0.0. Four per cent of the events assigned to the Insheim reservoir and zero per cent of the Landau events are misdetections. All wrong detections are local tectonic events, whereas none are caused by seismic noise.

A-Train Data Depot (ATDD)

NASA Technical Reports Server (NTRS)

Smith, Peter M.; Kempler, Steven; Leptoukh, Gregory; Savtchenko, Andrey; Kummerer, Robert; Gopolan, Arun

2008-01-01

ATDD is a web based tool which provides collocated data and display products for a number of A-train instruments Cloudsat, Calipso, OMI, AIRS, MODIS, MLS, POLDER-3, and ECWMF model data. Products provided include Clouds, Aerosols, Water Vapor, Temperatures and trace gases. All input data is online and in HDF4, HDF5 format. Display products include curtain images, horizontal strips, line plot overlays, and GE kmz files. Sample products are shown for two type of events. Hurricane event, Norbert, Oct 8, 2008 and a dust storm event over the Arabian Sea, Nov 13-14, 2008.

Processing of the Liquid Xenon calorimeter's signals for timing measurements

NASA Astrophysics Data System (ADS)

Epshteyn, L. B.; Yudin, Yu V.

2014-09-01

One of the goals of the Cryogenic Magnetic Detector at Budker Institute of Nuclear Physics SB RAS (Novosibirsk, Russia) is a study of nucleons production in electron-positron collisions near threshold. The neutron-antineutron pair production events can be detected only by the calorimeters. In the barrel calorimeter the antineutron annihilation typically occurs by 5 ns or later after beams crossing. For identification of such events it is necessary to measure the time of flight of particles to the LXe-calorimeter with accuracy of about 3 ns. The LXe-calorimeter consists of 14 layers of ionization chambers with anode and cathode readout. The duration of charge collection to the anodes is about 4.5 mks, while the required accuracy of measuring of the signal arrival time is less than 1/1000 of that. Besides, the signals' shapes differ substantially from event to event, so the signal arrival time is measured in two stages. At the first stage, the signal arrival time is determined with an accuracy of 1-2 discretization periods, and initial values of parameters for subsequent fitting procedure are calculated. At the second stage, the signal arrival time is determined with the required accuracy by means of fitting of the signal waveform with a template waveform. To implement that, a special electronics has been developed which performs waveform digitization and On-Line measurement of signals' arrival times and amplitudes.

Online Learning and the Process of Change: The Experiences of Faculty and Students at a Two-Year College

ERIC Educational Resources Information Center

Schafer, Christine L.

2012-01-01

This phenomenological case study examined the process of change at a rural two-year college migrating from traditional face-to-face instruction to an online learning environment and its affect on faculty and students. Instructors and support staff were concerned about the move to online learning due to the diversity of the student body, including…

Issues in Informal Education: Event-Based Science Communication Involving Planetaria and the Internet

NASA Technical Reports Server (NTRS)

Adams, M.; Gallagher, D. L.; Whitt, A.; Six, N. Frank (Technical Monitor)

2002-01-01

For the past four years the Science Directorate at Marshall Space Flight Center has carried out a diverse program of science communication through the web resources on the Internet. The program includes extended stories about NAS.4 science, a curriculum resource for teachers tied to national education standards, on-line activities for students, and webcasts of real-time events. Events have involved meteor showers, solar eclipses, natural very low frequency radio emissions, and amateur balloon flights. In some cases broadcasts accommodate active feedback and questions from Internet participants. We give here, examples of events, problems, and lessons learned from these activities.

Application of a mechanistic model as a tool for on-line monitoring of pilot scale filamentous fungal fermentation processes-The importance of evaporation effects.

PubMed

Mears, Lisa; Stocks, Stuart M; Albaek, Mads O; Sin, Gürkan; Gernaey, Krist V

2017-03-01

A mechanistic model-based soft sensor is developed and validated for 550L filamentous fungus fermentations operated at Novozymes A/S. The soft sensor is comprised of a parameter estimation block based on a stoichiometric balance, coupled to a dynamic process model. The on-line parameter estimation block models the changing rates of formation of product, biomass, and water, and the rate of consumption of feed using standard, available on-line measurements. This parameter estimation block, is coupled to a mechanistic process model, which solves the current states of biomass, product, substrate, dissolved oxygen and mass, as well as other process parameters including k L a, viscosity and partial pressure of CO 2 . State estimation at this scale requires a robust mass model including evaporation, which is a factor not often considered at smaller scales of operation. The model is developed using a historical data set of 11 batches from the fermentation pilot plant (550L) at Novozymes A/S. The model is then implemented on-line in 550L fermentation processes operated at Novozymes A/S in order to validate the state estimator model on 14 new batches utilizing a new strain. The product concentration in the validation batches was predicted with an average root mean sum of squared error (RMSSE) of 16.6%. In addition, calculation of the Janus coefficient for the validation batches shows a suitably calibrated model. The robustness of the model prediction is assessed with respect to the accuracy of the input data. Parameter estimation uncertainty is also carried out. The application of this on-line state estimator allows for on-line monitoring of pilot scale batches, including real-time estimates of multiple parameters which are not able to be monitored on-line. With successful application of a soft sensor at this scale, this allows for improved process monitoring, as well as opening up further possibilities for on-line control algorithms, utilizing these on-line model outputs. Biotechnol. Bioeng. 2017;114: 589-599. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Selection and Use of Online Learning Resources by First-Year Medical Students: Cross-Sectional Study.

PubMed

Judd, Terry; Elliott, Kristine

2017-10-02

Medical students have access to a wide range of learning resources, many of which have been specifically developed for or identified and recommended to them by curriculum developers or teaching staff. There is an expectation that students will access and use these resources to support their self-directed learning. However, medical educators lack detailed and reliable data about which of these resources students use to support their learning and how this use relates to key learning events or activities. The purpose of this study was to comprehensively document first-year medical student selection and use of online learning resources to support their bioscience learning within a case-based curriculum and assess these data in relation to our expectations of student learning resource requirements and use. Study data were drawn from 2 sources: a survey of student learning resource selection and use (2013 cohort; n=326) and access logs from the medical school learning platform (2012 cohort; n=337). The paper-based survey, which was distributed to all first-year students, was designed to assess the frequency and types of online learning resources accessed by students and included items about their perceptions of the usefulness, quality, and reliability of various resource types and sources. Of 237 surveys returned, 118 complete responses were analyzed (36.2% response rate). Usage logs from the learning platform for an entire semester were processed to provide estimates of first-year student resource use on an individual and cohort-wide basis according to method of access, resource type, and learning event. According to the survey data, students accessed learning resources via the learning platform several times per week on average, slightly more often than they did for resources from other online sources. Google and Wikipedia were the most frequently used nonuniversity sites, while scholarly information sites (eg, online journals and scholarly databases) were accessed relatively infrequently. Students were more likely to select learning resources based on the recommendation of peers than of teaching staff. The overwhelming majority of the approximately 70,000 resources accessed by students via the learning platform were lecture notes, with each accessed an average of 167 times. By comparison, recommended journal articles and (online) textbook chapters were accessed only 49 and 31 times, respectively. The number and type of learning resources accessed by students through the learning platform was highly variable, with a cluster analysis revealing that a quarter of students accessed very few resources in this way. Medical students have easy access to a wide range of quality learning resources, and while some make good use of the learning resources recommended to them, many ignore most and access the remaining ones infrequently. Learning analytics can provide useful measures of student resource access through university learning platforms but fails to account for resources accessed via external online sources or sharing of resources using social media. ©Terry Judd, Kristine Elliott. Originally published in JMIR Medical Education (http://mededu.jmir.org), 02.10.2017.

Eliciting and Receiving Online Support: Using Computer-Aided Content Analysis to Examine the Dynamics of Online Social Support

PubMed Central

Kraut, Robert E; Levine, John M

2015-01-01

Background Although many people with serious diseases participate in online support communities, little research has investigated how participants elicit and provide social support on these sites. Objective The first goal was to propose and test a model of the dynamic process through which participants in online support communities elicit and provide emotional and informational support. The second was to demonstrate the value of computer coding of conversational data using machine learning techniques (1) by replicating results derived from human-coded data about how people elicit support and (2) by answering questions that are intractable with small samples of human-coded data, namely how exposure to different types of social support predicts continued participation in online support communities. The third was to provide a detailed description of these machine learning techniques to enable other researchers to perform large-scale data analysis in these communities. Methods Communication among approximately 90,000 registered users of an online cancer support community was analyzed. The corpus comprised 1,562,459 messages organized into 68,158 discussion threads. Amazon Mechanical Turk workers coded (1) 1000 thread-starting messages on 5 attributes (positive and negative emotional self-disclosure, positive and negative informational self-disclosure, questions) and (2) 1000 replies on emotional and informational support. Their judgments were used to train machine learning models that automatically estimated the amount of these 7 attributes in the messages. Across attributes, the average Pearson correlation between human-based judgments and computer-based judgments was .65. Results Part 1 used human-coded data to investigate relationships between (1) 4 kinds of self-disclosure and question asking in thread-starting posts and (2) the amount of emotional and informational support in the first reply. Self-disclosure about negative emotions (beta=.24, P<.001), negative events (beta=.25, P<.001), and positive events (beta=.10, P=.02) increased emotional support. However, asking questions depressed emotional support (beta=–.21, P<.001). In contrast, asking questions increased informational support (beta=.38, P<.001), whereas positive informational self-disclosure depressed it (beta=–.09, P=.003). Self-disclosure led to the perception of emotional needs, which elicited emotional support, whereas asking questions led to the perception of informational needs, which elicited informational support. Part 2 used machine-coded data to replicate these results. Part 3 analyzed the machine-coded data and showed that exposure to more emotional support predicted staying in the group longer 33% (hazard ratio=0.67, P<.001), whereas exposure to more informational support predicted leaving the group sooner (hazard ratio=1.05, P<.001). Conclusions Self-disclosure is effective in eliciting emotional support, whereas question asking is effective in eliciting informational support. Moreover, perceptions that people desire particular kinds of support influence the support they receive. Finally, the type of support people receive affects the likelihood of their staying in or leaving the group. These results demonstrate the utility of machine learning methods for investigating the dynamics of social support exchange in online support communities. PMID:25896033

Eliciting and receiving online support: using computer-aided content analysis to examine the dynamics of online social support.

PubMed

Wang, Yi-Chia; Kraut, Robert E; Levine, John M

2015-04-20

Although many people with serious diseases participate in online support communities, little research has investigated how participants elicit and provide social support on these sites. The first goal was to propose and test a model of the dynamic process through which participants in online support communities elicit and provide emotional and informational support. The second was to demonstrate the value of computer coding of conversational data using machine learning techniques (1) by replicating results derived from human-coded data about how people elicit support and (2) by answering questions that are intractable with small samples of human-coded data, namely how exposure to different types of social support predicts continued participation in online support communities. The third was to provide a detailed description of these machine learning techniques to enable other researchers to perform large-scale data analysis in these communities. Communication among approximately 90,000 registered users of an online cancer support community was analyzed. The corpus comprised 1,562,459 messages organized into 68,158 discussion threads. Amazon Mechanical Turk workers coded (1) 1000 thread-starting messages on 5 attributes (positive and negative emotional self-disclosure, positive and negative informational self-disclosure, questions) and (2) 1000 replies on emotional and informational support. Their judgments were used to train machine learning models that automatically estimated the amount of these 7 attributes in the messages. Across attributes, the average Pearson correlation between human-based judgments and computer-based judgments was .65. Part 1 used human-coded data to investigate relationships between (1) 4 kinds of self-disclosure and question asking in thread-starting posts and (2) the amount of emotional and informational support in the first reply. Self-disclosure about negative emotions (beta=.24, P<.001), negative events (beta=.25, P<.001), and positive events (beta=.10, P=.02) increased emotional support. However, asking questions depressed emotional support (beta=-.21, P<.001). In contrast, asking questions increased informational support (beta=.38, P<.001), whereas positive informational self-disclosure depressed it (beta=-.09, P=.003). Self-disclosure led to the perception of emotional needs, which elicited emotional support, whereas asking questions led to the perception of informational needs, which elicited informational support. Part 2 used machine-coded data to replicate these results. Part 3 analyzed the machine-coded data and showed that exposure to more emotional support predicted staying in the group longer 33% (hazard ratio=0.67, P<.001), whereas exposure to more informational support predicted leaving the group sooner (hazard ratio=1.05, P<.001). Self-disclosure is effective in eliciting emotional support, whereas question asking is effective in eliciting informational support. Moreover, perceptions that people desire particular kinds of support influence the support they receive. Finally, the type of support people receive affects the likelihood of their staying in or leaving the group. These results demonstrate the utility of machine learning methods for investigating the dynamics of social support exchange in online support communities.

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

Robyn Ready

The Progressive Insurance Automotive X PRIZE Education Program conducted education and outreach activities and used the competition's technical goals and vehicle demonstrations as a means of attracting students and the public to learn more about advanced vehicle technologies, energy efficiency, climate change, alternative fuels, and the science and math behind efficient vehicle development. The Progressive Insurance Automotive X PRIZE Education Program comprised three integrated components that were designed to educate the general public and create a multi-tiered initiative to engage students and showcase the 21st century skills students will need to compete in our global economy: teamwork, creativity, strong literacy,more » math and science skills, and innovative thinking. The elements included an Online Experience, a National Student Contest, and in person education events and activites. The project leveraged online connections, strategic partnerships, in-classroom, and beyond-the-classroom initiatives, as well as mainstream media. This education program supported by the U.S. Department of Energy (DOE) also funded the specification of vehicle telemetry and the full development and operation of an interactive online experience that allowed internet users to follow the Progressive Insurance Automotive X PRIZE vehicles as they performed in real-time during the Progressive Insurance Automotive X PRIZE competition events.« less

Exploring the venue’s role in risky sexual behavior among gay and bisexual men: An event-level analysis from a national online survey in the U.S

PubMed Central

Grov, Christian; Hirshfield, Sabina; Remien, Robert H.; Humberstone, Mike; Chiasson, Mary Ann

2013-01-01

Venue-based characteristics (e.g., alcohol in bars, anonymous chat online, dark/quiet spaces in bathhouses) can impact how men who have sex with men (MSM) negotiate sex and HIV-associated risk behavior. We sought to determine the association between HIV-associated risk factors and the venues where MSM met their most recent new (first-time) male sex partner, using data from a 2004–2005 national online anonymous survey of MSM in the U.S (n = 2865). Most men (62%) met their partner through the Internet. Among those reporting anal sex during their last encounter (n = 1,550), half had not used a condom. In multivariate modeling, and among men reporting anal sex during their last encounter, venue where partner was met was not associated with unprotected anal intercourse (UAI). Nevertheless, venue was related to other factors that contextualized men’s sexual encounters. For example, HIV status disclosure was lowest among men who met their most recent partner in a park, outdoors, or other public place and highest among men who met their most recent partner online. Alcohol use prior to/during last sexual encounter was highest among men who met their most recent partner in a bathhouse or a bar/club/party/event. These data suggest it is possible to reach men online who seek sex in many different venues, thus potentially broadening the impact of prevention messages delivered in virtual environments. Although not associated with UAI, venues are connected to social-behavioral facets of corresponding sexual encounters, and may be important arenas for differential HIV and STI education, treatment, and prevention. PMID:22012413

The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems

PubMed Central

Besmer, Michael D.; Weissbrodt, David G.; Kratochvil, Bradley E.; Sigrist, Jürg A.; Weyland, Mathias S.; Hammes, Frederik

2014-01-01

Fluorescent staining coupled with flow cytometry (FCM) is often used for the monitoring, quantification and characterization of bacteria in engineered and environmental aquatic ecosystems including seawater, freshwater, drinking water, wastewater, and industrial bioreactors. However, infrequent grab sampling hampers accurate characterization and subsequent understanding of microbial dynamics in all of these ecosystems. A logic technological progression is high throughput and full automation of the sampling, staining, measurement, and data analysis steps. Here we assess the feasibility and applicability of automated FCM by means of actual data sets produced with prototype instrumentation. As proof-of-concept we demonstrate examples of microbial dynamics in (i) flowing tap water from a municipal drinking water supply network and (ii) river water from a small creek subject to two rainfall events. In both cases, automated measurements were done at 15-min intervals during 12–14 consecutive days, yielding more than 1000 individual data points for each ecosystem. The extensive data sets derived from the automated measurements allowed for the establishment of baseline data for each ecosystem, as well as for the recognition of daily variations and specific events that would most likely be missed (or miss-characterized) by infrequent sampling. In addition, the online FCM data from the river water was combined and correlated with online measurements of abiotic parameters, showing considerable potential for a better understanding of cause-and-effect relationships in aquatic ecosystems. Although several challenges remain, the successful operation of an automated online FCM system and the basic interpretation of the resulting data sets represent a breakthrough toward the eventual establishment of fully automated online microbiological monitoring technologies. PMID:24917858

Get Involved: Smithsonian Marine Station (SMS) at Fort Pierce

Science.gov Websites

Research Online Resources Get Involved Events Calendar NMNH Home Friends of SMS Volunteering Job contributions under Section 170(c). Volunteering Your Time and Talents! We have ongoing volunteer opportunities

United States Pharmacopeial Convention

MedlinePlus

... Online USP Compounding USP Donor Portal Chromatographic Columns Social Media Linked In Twitter Facebook You Tube QualityMatters Blog ... Events & Training Get Involved Partner Volunteer Provide Input Social Media Linked In Twitter Facebook You Tube QualityMatters Blog ...

National Institute of Neurological Disorders and Stroke

MedlinePlus

... All News Technical Assistance Webinar for the BRAIN Initiative Diversity K99/R00 Tuesday, June 12, 2018 | Online ... View All Events Director's Corner The NIH HEAL Initiative and Pain Research Thursday, June 21, 2018 At ...

OI Issues: Dental Care for Persons with OI

MedlinePlus

... Better Bones Upcoming Events Online Store OI Issues: Dental Care for Persons with OI Introduction Osteogenesis imperfecta ( ... jaws and may or may not affect the teeth. About half of the people who have OI ...

Air Force Office of Scientific Research

Science.gov Websites

day New Exciting Opportunity to Partner with NASA Scientists and use selected NASA's wind tunnels to events and register online, please click here. Research News New opportunity to partner with NASA and use

Products for Children with Enuresis and Daytime Urinary Incontinence

MedlinePlus

... NKF Online Communities Featured Story Want to save money on your prescriptions? Introducing a new discount card ... Events and Galas Spring Clinical Meetings KEEP Healthy - Free Kidney Health checks Your Kidneys and You Meetings ...

Quinoa Well Tolerated in Patients with Celiac Disease

MedlinePlus

... MOC Trainee Events and Meetings Endorsed Courses Online Education ACG Education Universe Journal CME ACG Self-Assessment ... Awards Colorectal Cancer Prevention Action Plan and RFAs Education Campaigns and Treatment Resources Evidence-Based Reviews ACG ...

78 FR 16649 - Information Collection; Online Registration for FSA-sponsored Events and Conferences

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-18

... Agriculture, Office of Information and Regulatory Affairs, Office of Management and Budget, Washington, DC.... The information is used to collect payment from the respondents and make hotel reservations and other...

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

Abercrombie, Robert K; Udoeyop, Akaninyene W

This work examines a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, worldwide patents, news archives,more » and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain we investigated.« less

Scientometric methods for identifying emerging technologies

DOEpatents

Abercrombie, Robert K; Schlicher, Bob G; Sheldon, Frederick T

2015-11-03

Provided is a method of generating a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, worldwide patents, news archives, and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain.

Assuring Quality in Large-Scale Online Course Development

ERIC Educational Resources Information Center

Parscal, Tina; Riemer, Deborah

2010-01-01

Student demand for online education requires colleges and universities to rapidly expand the number of courses and programs offered online while maintaining high quality. This paper outlines two universities respective processes to assure quality in large-scale online programs that integrate instructional design, eBook custom publishing, Quality…

Working with Difference in Online Collaborative Groups

ERIC Educational Resources Information Center

Smith, Regina O.

2005-01-01

This qualitative cross-case study explored the experiences that learners describe within online collaborative groups. The study context was a fully online graduate course on adult learning. The findings suggest that the small online groups demonstrated dynamics and process that are characteristic of individual growth and development and group…

Knowledge Transfer in Online Learning Environments

ERIC Educational Resources Information Center

Hansen, David E.

2008-01-01

Research comparing online and traditional course delivery methods has sought to demonstrate the equivalence of student performance in online and traditional courses. This study examines the unique proposition that online course delivery is superior to traditional when it comes to applied learning and is thus superior in the process of knowledge…

The impact of emotional involvement on online service buying decisions: an event-related potentials perspective

PubMed Central

Wang, Jing; Han, Weiwei

2015-01-01

When examining a buying process, changes in human brain signals and their event-related potential (ERP) components can be considered a reflection of the consumers’ emotions. In this experiment, participants were shown 12 products and related services that were available for purchase. After recording ERP components, we used a questionnaire to measure the individuals’ emotional involvement toward the services (i.e. the same services shown in the stimuli) of the 12 products to measure the emotional valence of the services. The emotional ERP components and the late positive potential (LPP) were elicited under the service conditions and distributed over the left frontal regions. We determined that the services may evoke an LPP and that services with a high emotional value may evoke a larger LPP, which suggests that positive emotion may be measured using the LPP amplitude in the left frontal regions. This result helps elucidate whether positive emotions are stimulated during the product-service system decision-making process and helps understand the emotional valences of different services. Our analysis of the emotional motivation of the consumer suggests that the LPP may be useful as an emotional indicator for measuring consumers’ evaluation of services that provides a neural view of product-service system buying decisions. PMID:26457370

Interactions between mood and the structure of semantic memory: event-related potentials evidence

PubMed Central

Pinheiro, Ana P.; del Re, Elisabetta; Nestor, Paul G; McCarley, Robert W.; Gonçalves, Óscar F.

2013-01-01

Recent evidence suggests that affect acts as modulator of cognitive processes and in particular that induced mood has an effect on the way semantic memory is used on-line. We used event-related potentials (ERPs) to examine affective modulation of semantic information processing under three different moods: neutral, positive and negative. Fifteen subjects read 324 pairs of sentences, after mood induction procedure with 30 pictures of neutral, 30 pictures of positive and 30 pictures of neutral valence: 108 sentences were read in each mood induction condition. Sentences ended with three word types: expected words, within-category violations, and between-category violations. N400 amplitude was measured to the three word types under each mood induction condition. Under neutral mood, a congruency (more negative N400 amplitude for unexpected relative to expected endings) and a category effect (more negative N400 amplitude for between- than to within-category violations) were observed. Also, results showed differences in N400 amplitude for both within- and between-category violations as a function of mood: while positive mood tended to facilitate the integration of unexpected but related items, negative mood made their integration as difficult as unexpected and unrelated items. These findings suggest the differential impact of mood on access to long-term semantic memory during sentence comprehension. PMID:22434931

Interactions between mood and the structure of semantic memory: event-related potentials evidence.

PubMed

Pinheiro, Ana P; del Re, Elisabetta; Nestor, Paul G; McCarley, Robert W; Gonçalves, Óscar F; Niznikiewicz, Margaret

2013-06-01

Recent evidence suggests that affect acts as modulator of cognitive processes and in particular that induced mood has an effect on the way semantic memory is used on-line. We used event-related potentials (ERPs) to examine affective modulation of semantic information processing under three different moods: neutral, positive and negative. Fifteen subjects read 324 pairs of sentences, after mood induction procedure with 30 pictures of neutral, 30 pictures of positive and 30 pictures of neutral valence: 108 sentences were read in each mood induction condition. Sentences ended with three word types: expected words, within-category violations, and between-category violations. N400 amplitude was measured to the three word types under each mood induction condition. Under neutral mood, a congruency (more negative N400 amplitude for unexpected relative to expected endings) and a category effect (more negative N400 amplitude for between- than to within-category violations) were observed. Also, results showed differences in N400 amplitude for both within- and between-category violations as a function of mood: while positive mood tended to facilitate the integration of unexpected but related items, negative mood made their integration as difficult as unexpected and unrelated items. These findings suggest the differential impact of mood on access to long-term semantic memory during sentence comprehension.

[Current status of the development of wireless sensors for medical applications].

PubMed

Moor, C; Braecklein, M; Jörns, N

2005-01-01

Wireless near-field transmission has been a challenge for scientists developing medical sensors for a long time. Here, instruments which measure a patient's ECG, oxygen saturation, blood pressure, peak flow, weight, blood glucose etc. are to be equipped with suitable transmission technology. Application scenarios for these sensors can be found in all medical areas where cable connections are irritating for the doctor, patient and other care personnel. This problem is especially common in sport medicine, sleep medicine, emergency medicine and intensive care. Based on its beneficial properties with regard to power consumption, range, data security and network capability, the worldwide standard radio technology Bluetooth was selected to transmit measurements. Since digital data is sent to a receiving station via Bluetooth, the measurement pre-processing now takes place in the patient sensor itself, instead of being processed by the monitor. In this article, a Bluetooth ECG, Bluetooth pulse oximeter, Bluetooth peak flow meter and Bluetooth event recorder will be introduced. On the one hand, systems can be realized with these devices, which allow patients to be monitored online (ECG, pulse oximeter). These devices can also be integrated in disease management programs (peak flow meter) and can be used to monitor high-risk patients in their home environment (event recorder).

Cannabis-Related Problems and Social Anxiety: The Mediational Role of Post-Event Processing.

PubMed

Ecker, Anthony H; Buckner, Julia D

2018-01-02

Cannabis is the most commonly used illicit drug in the US, and is associated with a range of psychological, social, and physical health-related problems. Individuals who endorse elevated levels of social anxiety are especially at risk for experiencing cannabis-related problems, including cannabis use disorder, despite not using cannabis more often than those with more normative social anxiety. Identification of mechanisms that underlie the relationship between social anxiety and cannabis-related problems may inform treatment and prevention efforts. Post-event processing (PEP, i.e., cognitively reviewing past social interactions/performances) is a social anxiety-related phenomenon that may be one such mechanism. The current study sought to test PEP as a mediator of the relationship between social anxiety and cannabis-related problems, adjusting for cannabis use frequency. Cannabis-using (past 3-month) undergraduate students recruited in 2015 (N = 244; 76.2% female; 74.2% Non-Hispanic Caucasian) completed an online survey of cannabis use, cannabis-related problems, social anxiety, and PEP. Bootstrap estimate of the indirect effect of social anxiety through PEP was significant, suggesting PEP is a mediator of the social anxiety-cannabis-related problems relationship. Conclusions/Importance: Treatment and prevention efforts may benefit from targeting PEP among individuals with elevated social anxiety and cannabis-related problems.

The impact of emotional involvement on online service buying decisions: an event-related potentials perspective.

PubMed

Zhao, Meina; Wang, Jing; Han, Weiwei

2015-12-02

When examining a buying process, changes in human brain signals and their event-related potential (ERP) components can be considered a reflection of the consumers' emotions. In this experiment, participants were shown 12 products and related services that were available for purchase. After recording ERP components, we used a questionnaire to measure the individuals' emotional involvement toward the services (i.e. the same services shown in the stimuli) of the 12 products to measure the emotional valence of the services. The emotional ERP components and the late positive potential (LPP) were elicited under the service conditions and distributed over the left frontal regions. We determined that the services may evoke an LPP and that services with a high emotional value may evoke a larger LPP, which suggests that positive emotion may be measured using the LPP amplitude in the left frontal regions. This result helps elucidate whether positive emotions are stimulated during the product-service system decision-making process and helps understand the emotional valences of different services. Our analysis of the emotional motivation of the consumer suggests that the LPP may be useful as an emotional indicator for measuring consumers' evaluation of services that provides a neural view of product-service system buying decisions.

New taxonomy and old collections: integrating DNA barcoding into the collection curation process.

PubMed

Puillandre, N; Bouchet, P; Boisselier-Dubayle, M-C; Brisset, J; Buge, B; Castelin, M; Chagnoux, S; Christophe, T; Corbari, L; Lambourdière, J; Lozouet, P; Marani, G; Rivasseau, A; Silva, N; Terryn, Y; Tillier, S; Utge, J; Samadi, S

2012-05-01

Because they house large biodiversity collections and are also research centres with sequencing facilities, natural history museums are well placed to develop DNA barcoding best practices. The main difficulty is generally the vouchering system: it must ensure that all data produced remain attached to the corresponding specimen, from the field to publication in articles and online databases. The Museum National d'Histoire Naturelle in Paris is one of the leading laboratories in the Marine Barcode of Life (MarBOL) project, which was used as a pilot programme to include barcode collections for marine molluscs and crustaceans. The system is based on two relational databases. The first one classically records the data (locality and identification) attached to the specimens. In the second one, tissue-clippings, DNA extractions (both preserved in 2D barcode tubes) and PCR data (including primers) are linked to the corresponding specimen. All the steps of the process [sampling event, specimen identification, molecular processing, data submission to Barcode Of Life Database (BOLD) and GenBank] are thus linked together. Furthermore, we have developed several web-based tools to automatically upload data into the system, control the quality of the sequences produced and facilitate the submission to online databases. This work is the result of a joint effort from several teams in the Museum National d'Histoire Naturelle (MNHN), but also from a collaborative network of taxonomists and molecular systematists outside the museum, resulting in the vouchering so far of ∼41,000 sequences and the production of ∼11,000 COI sequences. © 2012 Blackwell Publishing Ltd.

Frequency, Contingency and Online Processing of Multiword Sequences: An Eye-Tracking Study

ERIC Educational Resources Information Center

Yi, Wei; Lu, Shiyi; Ma, Guojie

2017-01-01

Frequency and contingency are two primary statistical factors that drive the acquisition and processing of language. This study explores the role of phrasal frequency and contingency (the co-occurrence probability/statistical association of the constituent words in multiword sequences) during online processing of multiword sequences. Meanwhile, it…

Essays on Socialization in Online Groups

ERIC Educational Resources Information Center

Choi, Bo Reum

2012-01-01

One challenge of online groups is helping new members adjust to their environment. This adjustment process has been referred to as socialization, or the process by which newcomers make the transition from being organizational outsiders to being insiders. During the adjustment process, new members moved from peripheral to full participation, with…

Issues related to processability during the manufacture of thermoplastic composites using on-line consolidation techniques

NASA Astrophysics Data System (ADS)

Ghasemi Nejhad, M. N.

1993-04-01

The on-line consolidation of thermoplastic composites is a relatively new technology that can be used to manufacture composite parts with complex geometries. The localized melting/solidification technique employed in this process can reduce the residual stresses and allow for improved dimensional stability and performance. An additional advantage of this technique is the elimination of the curing steps which are necessary in the processing of thermoset-matrix composites. This article presents the effects of processing parameters on processability in on-line consolidation of thermoplastic composites for tape-laying and filament-winding processes employing anisotropic thermal analyses. The results show that the heater size, preheating conditions, and tow thickness can significantly affect the processing window which, in turn, affects the production rate and the quality of the parts.

Online analysis: Deeper insights into water quality dynamics in spring water.

PubMed

Page, Rebecca M; Besmer, Michael D; Epting, Jannis; Sigrist, Jürg A; Hammes, Frederik; Huggenberger, Peter

2017-12-01

We have studied the dynamics of water quality in three karst springs taking advantage of new technological developments that enable high-resolution measurements of bacterial load (total cell concentration: TCC) as well as online measurements of abiotic parameters. We developed a novel data analysis approach, using self-organizing maps and non-linear projection methods, to approximate the TCC dynamics using the multivariate data sets of abiotic parameter time-series, thus providing a method that could be implemented in an online water quality management system for water suppliers. The (TCC) data, obtained over several months, provided a good basis to study the microbiological dynamics in detail. Alongside the TCC measurements, online abiotic parameter time-series, including spring discharge, turbidity, spectral absorption coefficient at 254nm (SAC254) and electrical conductivity, were obtained. High-density sampling over an extended period of time, i.e. every 45min for 3months, allowed a detailed analysis of the dynamics in karst spring water quality. Substantial increases in both the TCC and the abiotic parameters followed precipitation events in the catchment area. Differences between the parameter fluctuations were only apparent when analyzed at a high temporal scale. Spring discharge was always the first to react to precipitation events in the catchment area. Lag times between the onset of precipitation and a change in discharge varied between 0.2 and 6.7h, depending on the spring and event. TCC mostly reacted second or approximately concurrent with turbidity and SAC254, whereby the fastest observed reaction in the TCC time series occurred after 2.3h. The methodological approach described here enables a better understanding of bacterial dynamics in karst springs, which can be used to estimate risks and management options to avoid contamination of the drinking water. Copyright © 2017 Elsevier B.V. All rights reserved.

Turning the LHC ring into a new physics search machine

NASA Astrophysics Data System (ADS)

Orava, Risto

2017-03-01

The LHC Collider Ring is proposed to be turned into an ultimate automatic search engine for new physics in four consecutive phases: (1) Searches for heavy particles produced in Central Exclusive Process (CEP): pp → p + X + p based on the existing Beam Loss Monitoring (BLM) system of the LHC; (2) Feasibility study of using the LHC Ring as a gravitation wave antenna; (3) Extensions to the current BLM system to facilitate precise registration of the selected CEP proton exit points from the LHC beam vacuum chamber; (4) Integration of the BLM based event tagging system together with the trigger/data acquisition systems of the LHC experiments to facilitate an on-line automatic search machine for the physics of tomorrow.

Characterizing Hospital Workers' Willingness to Respond to a Radiological Event

PubMed Central

Balicer, Ran D.; Catlett, Christina L.; Barnett, Daniel J.; Thompson, Carol B.; Hsu, Edbert B.; Morton, Melinda J.; Semon, Natalie L.; Watson, Christopher M.; Gwon, Howard S.; Links, Jonathan M.

2011-01-01

Introduction Terrorist use of a radiological dispersal device (RDD, or “dirty bomb”), which combines a conventional explosive device with radiological materials, is among the National Planning Scenarios of the United States government. Understanding employee willingness to respond is critical for planning experts. Previous research has demonstrated that perception of threat and efficacy is key in the assessing willingness to respond to a RDD event. Methods An anonymous online survey was used to evaluate the willingness of hospital employees to respond to a RDD event. Agreement with a series of belief statements was assessed, following a methodology validated in previous work. The survey was available online to all 18,612 employees of the Johns Hopkins Hospital from January to March 2009. Results Surveys were completed by 3426 employees (18.4%), whose demographic distribution was similar to overall hospital staff. 39% of hospital workers were not willing to respond to a RDD scenario if asked but not required to do so. Only 11% more were willing if required. Workers who were hesitant to agree to work additional hours when required were 20 times less likely to report during a RDD emergency. Respondents who perceived their peers as likely to report to work in a RDD emergency were 17 times more likely to respond during a RDD event if asked. Only 27.9% of the hospital employees with a perception of low efficacy declared willingness to respond to a severe RDD event. Perception of threat had little impact on willingness to respond among hospital workers. Conclusions Radiological scenarios such as RDDs are among the most dreaded emergency events yet studied. Several attitudinal indicators can help to identify hospital employees unlikely to respond. These risk-perception modifiers must then be addressed through training to enable effective hospital response to a RDD event. PMID:22046238

Improving the K-12 Online Course Design Review Process: Experts Weigh in on iNACOL National Standards for Quality Online Courses

ERIC Educational Resources Information Center

Adelstein, David; Barbour, Michael K.

2017-01-01

Within the K-12 online learning environment there are a variety of standards that designers can utilize when creating online courses. To date, the only research-based standards available are proprietary in manner. As such, many jurisdictions have begun adopting online course design standards from the leading advocacy organization, which that have…

Development and beyond: Strategy for long-term maintenance of an online laser diffraction particle size method in a spray drying manufacturing process.

PubMed

Medendorp, Joseph; Bric, John; Connelly, Greg; Tolton, Kelly; Warman, Martin

2015-08-10

The purpose of this manuscript is to present the intended use and long-term maintenance strategy of an online laser diffraction particle size method used for process control in a spray drying process. A Malvern Insitec was used for online particle size measurements and a Malvern Mastersizer was used for offline particle size measurements. The two methods were developed in parallel with the Mastersizer serving as the reference method. Despite extensive method development across a range of particle sizes, the two instruments demonstrated different sensitivities to material and process changes over the product lifecycle. This paper will describe the procedure used to ensure consistent alignment of the two methods, thus allowing for continued use of online real-time laser diffraction as a surrogate for the offline system over the product lifecycle. Copyright © 2015 Elsevier B.V. All rights reserved.

Abstract processing and observer vantage perspective in dysphoria.

PubMed

Hart-Smith, Ly; Moulds, Michelle L

2018-05-07

processing and observer vantage perspective have been associated with negative consequences in depression. We investigated the relationship between mode of processing and vantage perspective bidirectionally in high and low dysphoric individuals, using abstract and concrete descriptions of experimenter-provided everyday actions. When vantage perspective was manipulated and processing mode was measured (Study 1a), participants who adopted a field perspective did not differ from those who adopted an observer perspective in their preference for abstract descriptions, irrespective of dysphoria status. When processing mode was manipulated and vantage perspective was measured (Study 1b), participants provided with abstract descriptions had a greater tendency to adopt an observer perspective than those provided with concrete descriptions, irrespective of dysphoria status. These results were replicated in larger online samples (Studies 2a and 2b). Together, they indicate a unidirectional causal relationship, whereby processing mode causally influences vantage perspective, in contrast to the bidirectional relationship previously reported in an unselected sample (Libby, Shaeffer, & Eibach, 2009). Further, these findings demonstrate that abstract processing increases the likelihood of adopting an observer perspective, and support targeting abstract processing in the treatment of depression to address the negative consequences associated with both abstract processing and recalling/imagining events from an observer perspective. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

[Electrophysiological bases of semantic processing of objects].

PubMed

Kahlaoui, Karima; Baccino, Thierry; Joanette, Yves; Magnié, Marie-Noële

2007-02-01

How pictures and words are stored and processed in the human brain constitute a long-standing question in cognitive psychology. Behavioral studies have yielded a large amount of data addressing this issue. Generally speaking, these data show that there are some interactions between the semantic processing of pictures and words. However, behavioral methods can provide only limited insight into certain findings. Fortunately, Event-Related Potential (ERP) provides on-line cues about the temporal nature of cognitive processes and contributes to the exploration of their neural substrates. ERPs have been used in order to better understand semantic processing of words and pictures. The main objective of this article is to offer an overview of the electrophysiologic bases of semantic processing of words and pictures. Studies presented in this article showed that the processing of words is associated with an N 400 component, whereas pictures elicited both N 300 and N 400 components. Topographical analysis of the N 400 distribution over the scalp is compatible with the idea that both image-mediated concrete words and pictures access an amodal semantic system. However, given the distinctive N 300 patterns, observed only during picture processing, it appears that picture and word processing rely upon distinct neuronal networks, even if they end up activating more or less similar semantic representations.

A preliminary investigation of risks for adverse outcomes of relationship seeking on social network sites (SNS): a descriptive study of women over 50 seeking relationships on MySpace in Hillsborough County, Florida.

PubMed

Vandeweerd, Carla; Corvin, Jaime; Coulter, Martha; Perkins, Elizabeth; Telford, Robin; Yalcin, Ali; Myers, Jaime; Yegidis, Bonnie

2014-01-01

In contrast to younger populations, little attention has been paid to the increase in seniors using Internet-based venues to find relationships and the potential risk for adverse outcomes this poses. This study examined data collected via an online survey from 45 ethnically diverse women aged 50+ "seeking relationships" on MySpace. The majority of women reported a relationship with someone they met online (85%). They also reported experiencing adverse events including financial exploitation (40%), threats (55%), and physical harm (38%) by someone they met online at levels greater than traditional relationship seeking in the general population. Directions for future research are explored.

Somalia

DTIC Science & Technology

2013-04-01

Full event data is available online . 2 fied assault on Al Shabaab positions outside Mogadishu, the group was already engaging in sporadic...uting to militants’ further radicalisation . In Somalia’s north -east, Al Shabaab militants have been reportedly operat- ing and establishing bases in

Evaluation of a Teaching Tool--Wiki--in Online Graduate Education

ERIC Educational Resources Information Center

Park, Caroline L.; Crocker, Cheryl; Nussey, Janice; Springate, Joyce; Hutchings, Darlene

2010-01-01

This study provides information on ways to enhance learning for students using online educational programs. Technologies that foster and engage students in the learning process are necessary in the online learning environment. Wiki is an online teaching strategy used to promote student interaction. A Wiki was introduced into three sections of a…

Online Chats: A Strategy to Enhance Learning in Large Classes

ERIC Educational Resources Information Center

Mtshali, Muntuwenkosi Abraham; Maistry, Suriamurthee Moonsamy; Govender, Desmond Wesley

2015-01-01

Online-supported teaching and learning is a technological innovation in education that integrates face-to-face teaching in plenary lectures, with an online component using a learning management system. This extends opportunities to students to interact with one another via online chats in the process of transacting their learning. There is a need…

Librarian Recruitment Process at Home in the Wired Nation.

ERIC Educational Resources Information Center

Nesbeitt, Sarah

2003-01-01

Discusses the trend toward online recruitment for librarians and describes a survey of library employees who had posted jobs online. Topics include reasons for online job postings; where positions were advertised, including types of Web sites and print media; electronic communication and emailed resumes; and the future of online recruitment. (LRW)

Promoting Community for Online Learners in Special Education

ERIC Educational Resources Information Center

West, Elizabeth; Jones, Phyllis; Semon, Sarah

2012-01-01

This study examined the sense of community in an online course for special education teachers enrolled in a master's program. The sense of community in an online environment may contribute to students' success and satisfaction (Knapczyk, Chapman, Rodes, & Chung, 2001). This article provides an example of a process for online community development…

Designing an Online Writing System: Learning with Support

ERIC Educational Resources Information Center

Kuo, Chih-Hua

2008-01-01

The potential of online language learning has received much attention recently. This paper reports the design of an online writing system featuring learning support for non-native students during their writing process. The central premise is that in the online writing situation, students are in great need of writing aids. The proposed system…

Assuring Quality in Online Course Delivery

ERIC Educational Resources Information Center

Matuga, Julia M.; Wooldridge, Deborah G.; Poirier, Sandra

2011-01-01

This paper examines the critical issue of assuring quality online course delivery by examining four key components of online teaching and learning. The topic of course delivery is viewed as a cultural issue that permeates processes from the design of an online course to its evaluation. First, the authors examine and review key components of and…

Quality Indicators of Online Programs

ERIC Educational Resources Information Center

Hirner, Leo; Kochtanek, Thomas

2012-01-01

The continued growth of online programs in higher education has resulted in concerns about how institutions monitor the quality of their online programs. These concerns indicate a need for a process by which online programs may be evaluated and compared. They provided the impetus for this study, the goals of which were to identify quality…

Faculty Perceptions of the Online Course Review Process: Does It Improve Quality?

ERIC Educational Resources Information Center

Yowe, Benita

2016-01-01

From 2009 to 2010, online college enrollment grew by one million students (Allen & Seaman, 2010.) To address this growth, the number of online courses and programs has increased as well (Windes & Lesht, 2014). Online programs and courses that are well developed can provide a rewarding educational experience for students. However, the…

Learning-automaton-based online discovery and tracking of spatiotemporal event patterns.

PubMed

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B John

2013-06-01

Discovering and tracking of spatiotemporal patterns in noisy sequences of events are difficult tasks that have become increasingly pertinent due to recent advances in ubiquitous computing, such as community-based social networking applications. The core activities for applications of this class include the sharing and notification of events, and the importance and usefulness of these functionalities increase as event sharing expands into larger areas of one's life. Ironically, instead of being helpful, an excessive number of event notifications can quickly render the functionality of event sharing to be obtrusive. Indeed, any notification of events that provides redundant information to the application/user can be seen to be an unnecessary distraction. In this paper, we introduce a new scheme for discovering and tracking noisy spatiotemporal event patterns, with the purpose of suppressing reoccurring patterns, while discerning novel events. Our scheme is based on maintaining a collection of hypotheses, each one conjecturing a specific spatiotemporal event pattern. A dedicated learning automaton (LA)--the spatiotemporal pattern LA (STPLA)--is associated with each hypothesis. By processing events as they unfold, we attempt to infer the correctness of each hypothesis through a real-time guided random walk. Consequently, the scheme that we present is computationally efficient, with a minimal memory footprint. Furthermore, it is ergodic, allowing adaptation. Empirical results involving extensive simulations demonstrate the superior convergence and adaptation speed of STPLA, as well as an ability to operate successfully with noise, including both the erroneous inclusion and omission of events. An empirical comparison study was performed and confirms the superiority of our scheme compared to a similar state-of-the-art approach. In particular, the robustness of the STPLA to inclusion as well as to omission noise constitutes a unique property compared to other related approaches. In addition, the results included, which involve the so-called " presence sharing" application, are both promising and, in our opinion, impressive. It is thus our opinion that the proposed STPLA scheme is, in general, ideal for improving the usefulness of event notification and sharing systems, since it is capable of significantly, robustly, and adaptively suppressing redundant information.

Improving short-term forecasting during ramp events by means of Regime-Switching Artificial Neural Networks

NASA Astrophysics Data System (ADS)

Gallego, C.; Costa, A.; Cuerva, A.

2010-09-01

Since nowadays wind energy can't be neither scheduled nor large-scale storaged, wind power forecasting has been useful to minimize the impact of wind fluctuations. In particular, short-term forecasting (characterised by prediction horizons from minutes to a few days) is currently required by energy producers (in a daily electricity market context) and the TSO's (in order to keep the stability/balance of an electrical system). Within the short-term background, time-series based models (i.e., statistical models) have shown a better performance than NWP models for horizons up to few hours. These models try to learn and replicate the dynamic shown by the time series of a certain variable. When considering the power output of wind farms, ramp events are usually observed, being characterized by a large positive gradient in the time series (ramp-up) or negative (ramp-down) during relatively short time periods (few hours). Ramp events may be motivated by many different causes, involving generally several spatial scales, since the large scale (fronts, low pressure systems) up to the local scale (wind turbine shut-down due to high wind speed, yaw misalignment due to fast changes of wind direction). Hence, the output power may show unexpected dynamics during ramp events depending on the underlying processes; consequently, traditional statistical models considering only one dynamic for the hole power time series may be inappropriate. This work proposes a Regime Switching (RS) model based on Artificial Neural Nets (ANN). The RS-ANN model gathers as many ANN's as different dynamics considered (called regimes); a certain ANN is selected so as to predict the output power, depending on the current regime. The current regime is on-line updated based on a gradient criteria, regarding the past two values of the output power. 3 Regimes are established, concerning ramp events: ramp-up, ramp-down and no-ramp regime. In order to assess the skillness of the proposed RS-ANN model, a single-ANN model (without regime classification) is adopted as a reference model. Both models are evaluated in terms of Improvement over Persistence on the Mean Square Error basis (IoP%) when predicting horizons form 1 time-step to 5. The case of a wind farm located in the complex terrain of Alaiz (north of Spain) has been considered. Three years of available power output data with a hourly resolution have been employed: two years for training and validation of the model and the last year for assessing the accuracy. Results showed that the RS-ANN overcame the single-ANN model for one step-ahead forecasts: the overall IoP% was up to 8.66% for the RS-ANN model (depending on the gradient criterion selected to consider the ramp regime triggered) and 6.16% for the single-ANN. However, both models showed similar accuracy for larger horizons. A locally-weighted evaluation during ramp events for one-step ahead was also performed. It was found that the IoP% during ramps-up increased from 17.60% (case of single-ANN) to 22.25% (case of RS-ANN); however, during the ramps-down events this improvement increased from 18.55% to 19.55%. Three main conclusions are derived from this case study: It highlights the importance of considering statistical models capable of differentiate several regimes showed by the output power time series in order to improve the forecasting during extreme events like ramps. On-line regime classification based on available power output data didn't seem to contribute to improve forecasts for horizons beyond one-step ahead. Tacking into account other explanatory variables (local wind measurements, NWP outputs) could lead to a better understanding of ramp events, improving the regime assessment also for further horizons. The RS-ANN model slightly overcame the single-ANN during ramp-down events. If further research reinforce this effect, special attention should be addressed to understand the underlying processes during ramp-down events.

Long-term simulation of the activated sludge process at the Hanover-Gümmerwald pilot WWTP.

PubMed

Makinia, Jacek; Rosenwinkel, Karl-Heinz; Spering, Volker

2005-04-01

The aim of this study was to obtain a validated model, consisting of the Activated Sludge Model No. 3 (ASM3) and the EAWAG bio-P module, which could be used as a decision tool for estimating the maximum allowable peak flow to wastewater treatment plants during stormwater conditions. The databases used for simulations originated from the Hanover-Gummerwald pilot plant subjected to a series of controlled, short-term hydraulic shock loading experiments. The continuous influent wastewater composition was generated using on-line measurements of only three parameters (COD, N-NH4+, P-PO4 3-). Model predictions were compared with on-line data from different locations in the activated sludge system including the aerobic zone (concentrations of N-NH4+, N-NO3-) and secondary effluent (concentrations of P-PO4 3-). The simulations confirmed experimental results concerning the capabilities of the system for handling increased flows during stormwater events. No (or minor) peaks of N-NH4+ were predicted for the line with the double dry weather flowrate, whereas peaks of N-NH4+ at the line with the quadruple dry weather flowrate were normally exceeding 8 g Nm(-3) (similar to the observations).

78 FR 78462 - Open Government: Use of Genetic Information in Documenting and Evaluating Disability; Extension...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-26

... information within the disability decision process. Under our current, long-standing policy, we do not... disability determination process via an online forum. We stated that the forum would be open until December... genetic information in the disability determination process via an online forum that would be open until...

An Online Process Model of Second-Order Cultivation Effects: How Television Cultivates Materialism and Its Consequences for Life Satisfaction

ERIC Educational Resources Information Center

Shrum, L. J.; Lee, Jaehoon; Burroughs, James E.; Rindfleisch, Aric

2011-01-01

Two studies investigated the interrelations among television viewing, materialism, and life satisfaction, and their underlying processes. Study 1 tested an online process model for television's cultivation of materialism by manipulating level of materialistic content. Viewing level influenced materialism, but only among participants who reported…

The influence of narrative v. statistical information on perceiving vaccination risks.

PubMed

Betsch, Cornelia; Ulshöfer, Corina; Renkewitz, Frank; Betsch, Tilmann

2011-01-01

Health-related information found on the Internet is increasing and impacts patient decision making, e.g. regarding vaccination decisions. In addition to statistical information (e.g. incidence rates of vaccine adverse events), narrative information is also widely available such as postings on online bulletin boards. Previous research has shown that narrative information can impact treatment decisions, even when statistical information is presented concurrently. As the determinants of this effect are largely unknown, we will vary features of the narratives to identify mechanisms through which narratives impact risk judgments. An online bulletin board setting provided participants with statistical information and authentic narratives about the occurrence and nonoccurrence of adverse events. Experiment 1 followed a single factorial design with 1, 2, or 4 narratives out of 10 reporting adverse events. Experiment 2 implemented a 2 (statistical risk 20% vs. 40%) × 2 (2/10 vs. 4/10 narratives reporting adverse events) × 2 (high vs. low richness) × 2 (high vs. low emotionality) between-subjects design. Dependent variables were perceived risk of side-effects and vaccination intentions. Experiment 1 shows an inverse relation between the number of narratives reporting adverse-events and vaccination intentions, which was mediated by the perceived risk of vaccinating. Experiment 2 showed a stronger influence of the number of narratives than of the statistical risk information. High (vs. low) emotional narratives had a greater impact on the perceived risk, while richness had no effect. The number of narratives influences risk judgments can potentially override statistical information about risk.