scholarly journals Performance of a proposed event-type based analysis for CTA

2021 ◽  
Author(s):  
Tarek Hassan ◽  
Orel Gueta ◽  
Gernot Maier ◽  
Maximilian Nöthe ◽  
Michele Peresano ◽  
...  
Keyword(s):  
Event Type

Head Impact Biomechanics in Youth Flag Football: A Prospective Cohort Study

2021 ◽  
pp. 036354652110266
Author(s):  
Landon B. Lempke ◽  
Rachel S. Johnson ◽  
Rachel K. Le ◽  
Melissa N. Anderson ◽  
Julianne D. Schmidt ◽  
...  
Keyword(s):  
Mixed Model ◽  
Linear Acceleration ◽  
Cross Sectional Study ◽  
Head Impact ◽  
Rotational Acceleration ◽  
Event Type ◽  
Level Of Evidence ◽  
Cross Sectional ◽  
Head Impact Biomechanics ◽  
Impact Biomechanics

Background: Youth flag football participation has rapidly grown and is a potentially safer alternative to tackle football. However, limited research has quantitatively assessed youth flag football head impact biomechanics. Purpose: To describe head impact biomechanics outcomes in youth flag football and explore factors associated with head impact magnitudes. Study Design: Cross-sectional study; Level of evidence, 3. Methods: We monitored 52 player-seasons among 48 male flag football players (mean ± SD; age, 9.4 ± 1.1 years; height, 138.6 ± 9.5 cm; mass, 34.7 ± 9.2 kg) across 3 seasons using head impact sensors during practices and games. Sensors recorded head impact frequencies, peak linear ( g) and rotational (rad/s2) acceleration, and estimated impact location. Impact rates (IRs) were calculated as 1 impact per 10 player-exposures; IR ratios (IRRs) were used to compare season, event type, and age group IRs; and 95% CIs were calculated for IRs and IRRs. Weekly and seasonal cumulative head impact frequencies and magnitudes were calculated. Mixed-model regression models examined the association between player characteristics, event type, and seasons and peak linear and rotational accelerations. Results: A total of 429 head impacts from 604 exposures occurred across the study period (IR, 7.10; 95% CI, 4.81-10.50). Weekly and seasonal cumulative median head impact frequencies were 1.00 (range, 0-2.63) and 7.50 (range, 0-21.00), respectively. The most frequent estimated head impact locations were the skull base (n = 96; 22.4%), top of the head (n = 74; 17.2%), and back of the head (n = 66; 15.4%). The combined event type IRs differed among the 3 seasons (IRR range, 1.45-2.68). Games produced greater IRs (IRR, 1.24; 95% CI, 1.01-1.53) and peak linear acceleration (mean difference, 5.69 g; P = .008) than did practices. Older players demonstrated greater combined event–type IRs (IRR, 1.46; 95% CI, 1.12-1.90) and increased head impact magnitudes than did younger players, with every 1-year age increase associated with a 3.78 g and 602.81-rad/s2 increase in peak linear and rotational acceleration magnitude, respectively ( P≤ .005). Conclusion: Head IRs and magnitudes varied across seasons, thus highlighting multiple season and cohort data are valuable when providing estimates. Head IRs were relatively low across seasons, while linear and rotational acceleration magnitudes were relatively high.

An Evaluation of Patient Safety Event Report Categories Using Unsupervised Topic Modeling

2015 ◽  
Vol 54 (04) ◽  
pp. 338-345 ◽  
Author(s):  
A. Fong ◽  
R. Ratwani
Keyword(s):  
Patient Safety ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Topic Modeling ◽  
Free Text ◽  
Event Data ◽  
Event Type ◽  
Modeling Approach ◽  
Safety Event

SummaryObjective: Patient safety event data repositories have the potential to dramatically improve safety if analyzed and leveraged appropriately. These safety event reports often consist of both structured data, such as general event type categories, and unstructured data, such as free text descriptions of the event. Analyzing these data, particularly the rich free text narratives, can be challenging, especially with tens of thousands of reports. To overcome the resource intensive manual review process of the free text descriptions, we demonstrate the effectiveness of using an unsupervised natural language processing approach.Methods: An unsupervised natural language processing technique, called topic modeling, was applied to a large repository of patient safety event data to identify topics, or themes, from the free text descriptions of the data. Entropy measures were used to evaluate and compare these topics to the general event type categories that were originally assigned by the event reporter.Results: Measures of entropy demonstrated that some topics generated from the un-supervised modeling approach aligned with the clinical general event type categories that were originally selected by the individual entering the report. Importantly, several new latent topics emerged that were not originally identified. The new topics provide additional insights into the patient safety event data that would not otherwise easily be detected.Conclusion: The topic modeling approach provides a method to identify topics or themes that may not be immediately apparent and has the potential to allow for automatic reclassification of events that are ambiguously classified by the event reporter.

scholarly journals Enhancement of stratospheric aerosols after solar proton event

1996 ◽  
Vol 14 (11) ◽  
pp. 1119-1123 ◽  
Author(s):  
O. I. Shumilov ◽  
E. A. Kasatkina ◽  
K. Henriksen ◽  
E. V. Vashenyuk
Keyword(s):  
Considerable Increase ◽  
Ground Level ◽  
Solar Proton ◽  
Stratospheric Aerosol ◽  
Nucleation Mechanism ◽  
Solar Proton Event ◽  
Proton Event ◽  
Aerosol Layer ◽  
Event Type ◽  
Lidar Measurements

Abstract. The lidar measurements at Verhnetulomski observatory (68.6°N, 31.8°E) at Kola peninsula detected a considerable increase of stratospheric aerosol concentration after the solar proton event of GLE (ground level event) type on the 16/02/84. This increase was located at precisely the same altitude range where the energetic solar protons lost their energy in the atmosphere. The aerosol layer formed precipitated quickly (1–2 km per day) during 18, 19, and 20 February 1984, and the increase of R(H) (backscattering ratio) at 17 km altitude reached 40% on 20/02/84. We present the model calculation of CN (condensation nuclei) altitude distribution on the basis of an ion-nucleation mechanism, taking into account the experimental energy distribution of incident solar protons. The meteorological situation during the event was also investigated.

scholarly journals Hierarchical Annotation Event Extraction Method in Multiple Scenarios

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shi Wang ◽  
Zhujun Wang ◽  
Yi Jiang ◽  
Huayu Wang
Keyword(s):  
Random Field ◽  
Extraction Method ◽  
Feature Vector ◽  
Conditional Random Field ◽  
Event Extraction ◽  
Event Type ◽  
Event Trigger ◽  
Pipeline Model ◽  
Gated Recurrent Unit ◽  
Multiple Scenarios

In the event extraction task, considering that there may be multiple scenarios in the corpus and an argument may play different roles under different triggers, the traditional tagging scheme can only tag each word once, which cannot solve the problem of argument overlap. A hierarchical tagging pipeline model for Chinese corpus based on the pretrained model Bert was proposed, which can obtain the relevant arguments of each event in a hierarchical way. The pipeline structure is selected in the model, and the event extraction task is divided into event trigger classification and argument recognition. Firstly, the pretrained model Bert is used to generate the feature vector and transfer it to bidirectional gated recurrent unit+conditional random field (BiGRU+CRF) model for trigger classification; then, the marked event type features are spliced into the corpus as known features and then passed into BiGRU+CRF for argument recognition. We evaluated our method on DUEE, combined with data enhancement and mask operation. Experimental results show that our method is improved compared with other baselines, which prove the effectiveness of the model in Chinese corpus.

scholarly journals Quantification in event semantics: generalized quantifiers vs. sub-events

2018 ◽  
Vol 60 ◽  
pp. 39-53
Author(s):  
Sascha Alexeyenko
Keyword(s):  
Generalized Quantifiers ◽  
Existential Quantifier ◽  
Event Semantics ◽  
Event Type

The goal of this paper is to evaluate two approaches to quantification in event semantics,namely the analysis of quantificational DPs in terms of generalized quantifiers andthe analysis proposed in Schein (1993) according to which quantifiers over individuals containan existential quantifier over sub-events in their scope. Both analyses capture the fact that theevent quantifier always takes scope under quantifiers over individuals (the Event Type Principlein Landman (2000)), but the sub-events analysis has also been argued to be able to accountfor some further data, namely for adverbs qualifying ‘ensemble’ events and for mixed cumulative/distributive readings. This paper shows that the sub-events analysis also provides a betteraccount of the Event Type Principle if a broader range of data is considered, including caseswith non-existential quantifiers over events: unlike the generalized quantifiers analysis, it cansuccessfully account for the interpretation of indefinites in bare habituals and sentences thatcontain overt adverbs of quantification.Keywords: quantification, event semantics, generic quantifier, habituals, Q-adverbs.

scholarly journals Does trauma event type matter in the assessment of traumatic load?

2017 ◽  
Vol 8 (1) ◽  
pp. 1344079 ◽  
Author(s):  
Daniela Conrad ◽  
Sarah Wilker ◽  
Anett Pfeiffer ◽  
Birke Lingenfelder ◽  
Tracie Ebalu ◽  
...  
Keyword(s):  
Event Type

INTERDISCOURSE SWITCHING IN DRAMA TEXT. GAZE PATTERNS AND COMPREHENSION CHECK RESULTS

2021 ◽  
pp. 55-66
Author(s):  
M.I. Kiose ◽  
◽  
A.A. Rzheshevskaya ◽  
Keyword(s):  
Eye Movement ◽  
Significant Influence ◽  
Cognitive Process ◽  
Event Type ◽  
The Gaze ◽  
Gaze Patterns ◽  
Discourse Interpretation ◽  
Areas Of Interest ◽  
Interpretation Patterns ◽  
Event Construal

The study explores the cognitive process of interdiscourse switching which occurs in reading drama plays with the author’s discourse fragments incorporated (Areas of Interest). The oculographic experiment reveals the gaze patterns and the discourse interpretation patterns, more and less typical of the process. The experiment is preceded by the parametric and annotation analysis of interdiscourse switching construal. Interestingly, there exist several construal parameter groups contingent with eye movement load redistribution, among them are Participant construal, Event construal, and Perspective construal. The results sufficed to show that construal effects also affect mentioning Areas of Interest in the subjects’ responses, the most significant influence is displayed by Participant Agentivity and Complexity parameters as well as by Event Type parameters.

Recognizing a serial verb

Serial Verbs ◽  
2018 ◽  
pp. 20-54
Author(s):  
Alexandra Y. Aikhenvald
Keyword(s):  
Argument Structure ◽  
Overwhelming Majority ◽  
Event Type ◽  
Cultural Stereotypes ◽  
Serial Verb Constructions ◽  
Event Argument ◽  
Verb Constructions ◽  
Serial Verbs ◽  
Serial Verb Construction ◽  
Serial Verb

A serial verb construction is a sequence of verbs which act together as a single predicate. Serial verbs are always monoclausal and are pronounced as a single verb would be. The components of a serial verb construction share tense, aspect, modality, reality status, evidentiality, mood, and also polarity values. A serial verb construction typically refers to what can be conceptualized as one event, and one recognizable event type, in terms of cultural stereotypes available to the speakers. Serial verbs tend to share at least one argument. An overwhelming majority of serial verbs have a single overall argument structure, with the subjects, objects and obliques belonging to the whole construction. In switch-function serial verb constructions, the O (or the recipient) of the first component is the same as the S (rarely, the A) of the second one. Event-argument and resultative serial verb constructions share no arguments.

scholarly journals Injuries in Korean Elite Taekwondo Athletes: A Prospective Study

2020 ◽  
Vol 17 (14) ◽  
pp. 5143
Author(s):  
Boae Son ◽  
Young Jae Cho ◽  
Hee Seong Jeong ◽  
Sae Yong Lee
Keyword(s):  
Female Athletes ◽  
Injury Rate ◽  
Incidence Rates ◽  
Injury Incidence ◽  
Event Type ◽  
Severe Injuries ◽  
Injury Surveillance System ◽  
Common Location ◽  
Rate Ratios ◽  
A Prospective Study

This prospective cohort study aimed to identify the incidence and characteristics of Taekwondo-related injuries according to age, sex, and event type (i.e., practice or competition) based on a web-based injury surveillance system (ISS) with a follow-up period of 12 months. A total of 285 members of the Korea Taekwondo Association who competed in the 2016 season participated. Injury incidence rates (IRs) were calculated per 1000 athlete-exposures (AEs). Injury rate ratios (RRs) with 95% confidence intervals were calculated and compared regarding age, sex, and event type. During the season, 336 injuries were reported, resulting in a rate of 6.31/1000 AEs. The most common location, type, and mechanism of injury in Taekwondo athletes were the foot/ankle, ligament sprain, and contact with another player, respectively. The overall injury IRs associated with Taekwondo practicing and competition were 4.79/1000 AEs and 24.86/1000 AEs, respectively. The overall injury RR related to both practice and competition was higher in youth athletes than in adult athletes. However, adult athletes were more likely to sustain more severe injuries. Korean elite Taekwondo athletes were commonly exposed to injury, especially youth and female athletes. Therefore, continuation of the ISS suggests the development of interventions for preventing injuries sustained by Taekwondo athletes.

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