scholarly journals Short-term PM2.5 and cardiovascular admissions in NY State: assessing sensitivity to exposure model choice

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mike Z. He ◽  
Vivian Do ◽  
Siliang Liu ◽  
Patrick L. Kinney ◽  
Arlene M. Fiore ◽  
...  
Keyword(s):  
New York ◽  
Prediction Models ◽  
Fine Particulate Matter ◽  
Exposure Model ◽  
Model Choice ◽  
Poisson Models ◽  
Exposure Measurement Error ◽  
Health Studies ◽  
Spatio Temporal ◽  
The Relationship

Abstract Background Air pollution health studies have been increasingly using prediction models for exposure assessment even in areas without monitoring stations. To date, most studies have assumed that a single exposure model is correct, but estimated effects may be sensitive to the choice of exposure model. Methods We obtained county-level daily cardiovascular (CVD) admissions from the New York (NY) Statewide Planning and Resources Cooperative System (SPARCS) and four sets of fine particulate matter (PM2.5) spatio-temporal predictions (2002–2012). We employed overdispersed Poisson models to investigate the relationship between daily PM2.5 and CVD, adjusting for potential confounders, separately for each state-wide PM2.5 dataset. Results For all PM2.5 datasets, we observed positive associations between PM2.5 and CVD. Across the modeled exposure estimates, effect estimates ranged from 0.23% (95%CI: -0.06, 0.53%) to 0.88% (95%CI: 0.68, 1.08%) per 10 µg/m3 increase in daily PM2.5. We observed the highest estimates using monitored concentrations 0.96% (95%CI: 0.62, 1.30%) for the subset of counties where these data were available. Conclusions Effect estimates varied by a factor of almost four across methods to model exposures, likely due to varying degrees of exposure measurement error. Nonetheless, we observed a consistently harmful association between PM2.5 and CVD admissions, regardless of model choice.

Die Konstruktion von Natur – Central Park neu besichtigt | The Construction of Nature – Central Park Revisited

2005 ◽  
Vol 156 (8) ◽  
pp. 288-296
Author(s):  
Vittorio Magnago Lampugnani
Keyword(s):  
New York ◽  
Hudson River ◽  
The United States ◽  
Central Park ◽  
Housing Developments ◽  
Hudson River School ◽  
The North ◽  
Man And Nature ◽  
The 19Th Century ◽  
The Relationship

In the first half of the 19th century scientific philosophers in the United States, such as Emerson and Thoreau, began to pursue the relationship between man and nature. Painters from the Hudson River School discovered the rural spaces to the north of New York and began to celebrate the American landscape in their paintings. In many places at this time garden societies were founded, which generated widespread support for the creation of park enclosures While the first such were cemeteries with the character of parks, housing developments on the peripheries of towns were later set in generous park landscapes. However, the centres of the growing American cities also need green spaces and the so-called «park movement»reached a first high point with New York's Central Park. It was not only an experimental field for modern urban elements, but even today is a force of social cohesion.

scholarly journals Factors Influencing Creatine Kinase Response in Youth National Team Soccer Players

2021 ◽  
pp. 194173812199938
Author(s):  
Gabor Schuth ◽  
Gyorgy Szigeti ◽  
Gergely Dobreff ◽  
Peter Revisnyei ◽  
Alija Pasic ◽  
...  
Keyword(s):  
Creatine Kinase ◽  
Prediction Models ◽  
Soccer Players ◽  
Linear Regression Models ◽  
Level Of Evidence ◽  
Internal Load ◽  
Youth Soccer ◽  
National Team ◽  
Weekly Training ◽  
The Relationship

Background: Previous studies have examined the relationship between external training load and creatine kinase (CK) response after soccer matches in adults. This study aimed to build training- and match-specific CK prediction models for elite youth national team soccer players. Hypothesis: Training and match load will have different effects on the CK response of elite youth soccer players, and there will be position-specific differences in the most influential external and internal load parameters on the CK response. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: Forty-one U16-U17 youth national team soccer players were measured over an 18-month period. Training and match load were monitored with global positioning system devices. Individual CK values were measured from whole blood every morning in training camps. The dataset consisted of 1563 data points. Clustered prediction models were used to examine the relationship between external/internal load and consecutive CK changes. Clusters were built based on the playing position and activity type. The performance of the linear regression models was described by the R2 and the root-mean-square error (RMSE, U/L for CK values). Results: The prediction models fitted similarly during games and training sessions ( R2 = 0.38-0.88 vs 0.6-0.77), but there were large differences based on playing positions. In contrast, the accuracy of the models was better during training sessions (RMSE = 81-135 vs 79-209 U/L). Position-specific differences were also found in the external and internal load parameters, which best explained the CK changes. Conclusion: The relationship between external/internal load parameters and CK changes are position specific and might depend on the type of session (training or match). Morning CK values also contributed to the next day’s CK values. Clinical Relevance: The relationship between position-specific external/internal load and CK changes can be used to individualize postmatch recovery strategies and weekly training periodization with a view to optimize match performance.

scholarly journals Real-time spatio-temporal event detection on geotagged social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yasmeen George ◽  
Shanika Karunasekera ◽  
Aaron Harwood ◽  
Kwan Hui Lim
Keyword(s):  
New York ◽  
Social Media ◽  
Event Detection ◽  
Detection System ◽  
Time And Space ◽  
Social Media Data ◽  
Event Time ◽  
Spatio Temporal ◽  
Geographical Space ◽  
Media Data

AbstractA key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are useful for early warning for accident, protest, election or breaking news. However, neither the list of events nor the resolution of both event time and space is fixed or known beforehand. In this work, we propose an online spatio-temporal event detection system using social media that is able to detect events at different time and space resolutions. First, to address the challenge related to the unknown spatial resolution of events, a quad-tree method is exploited in order to split the geographical space into multiscale regions based on the density of social media data. Then, a statistical unsupervised approach is performed that involves Poisson distribution and a smoothing method for highlighting regions with unexpected density of social posts. Further, event duration is precisely estimated by merging events happening in the same region at consecutive time intervals. A post processing stage is introduced to filter out events that are spam, fake or wrong. Finally, we incorporate simple semantics by using social media entities to assess the integrity, and accuracy of detected events. The proposed method is evaluated using different social media datasets: Twitter and Flickr for different cities: Melbourne, London, Paris and New York. To verify the effectiveness of the proposed method, we compare our results with two baseline algorithms based on fixed split of geographical space and clustering method. For performance evaluation, we manually compute recall and precision. We also propose a new quality measure named strength index, which automatically measures how accurate the reported event is.

scholarly journals Are Essential Women’s Healthcare Services Fully Covered? A Comparative Analysis of Policy Documents in Shanghai and New York City from 1978–2017

2021 ◽  
Vol 18 (8) ◽  
pp. 4261
Author(s):  
Qingyu Zhou ◽  
Qinwen Yu ◽  
Xin Wang ◽  
Peiwu Shi ◽  
Qunhong Shen ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Women's Health ◽  
York City ◽  
Healthcare Service ◽  
Healthcare Services ◽  
Coverage Rate ◽  
Policy Documents ◽  
Service Coverage ◽  
The Relationship

This study aimed to analyze the changes in the 10 major categories of women’s healthcare services (WHSs) in Shanghai (SH) and New York City (NYC) from 1978 to 2017, and examine the relationship between these changes and maternal mortality ratio (MMR). Content analysis of available public policy documents concerning women’s health was conducted. Two indicators were designed to represent the delivery of WHSs: The essential women’s healthcare service coverage rate (ESCR) and the assessable essential healthcare service coverage rate (AESCR). Spearman correlation was used to analyze the relationship between the two indicators and MMR. In SH, the ESCR increased from 10% to 90%, AESCR increased from 0% to 90%, and MMR decreased from 24.0/100,000 to 1.01/100,000. In NYC, the ESCR increased from 0% to 80%, the AESCR increased from 0% to 60%, and the MMR decreased from 24.7/100,000 to 21.4/100,000. The MMR significantly decreased as both indicators increased (p < 0.01). Major advances have been made in women’s healthcare in both cities, with SH having a better improvement effect. A common shortcoming for both was the lack of menopausal health service provision. The promotion of women’s health still needs to receive continuous attention from governments of SH and NYC. The experiences of the two cities showed that placing WHSs among policy priorities is effective in improving service status.

scholarly journals Can We Use Grip Strength to Predict Other Types of Hand Exertions? An Example of Manufacturing Industry Workers

2021 ◽  
Vol 18 (3) ◽  
pp. 856
Author(s):  
Victor Ei-Wen Lo ◽  
Yi-Chen Chiu ◽  
Hsin-Hung Tu
Keyword(s):  
Grip Strength ◽  
Manufacturing Industry ◽  
Prediction Models ◽  
Demographic Variable ◽  
Time Saving ◽  
Daily Lives ◽  
Working Environments ◽  
Central Taiwan ◽  
Study Participants ◽  
The Relationship

Background: There are different types of hand motions in people’s daily lives and working environments. However, testing duration increases as the types of hand motions increase to build a normative database. Long testing duration decreases the motivation of study participants. The purpose of this study is to propose models to predict pinch and press strength using grip strength. Methods: One hundred ninety-eight healthy volunteers were recruited from the manufacturing industries in Central Taiwan. The five types of hand motions were grip, lateral pinch, palmar pinch, thumb press, and ball of thumb press. Stepwise multiple linear regression was used to explore the relationship between force type, gender, height, weight, age, and muscle strength. Results: The prediction models developed according to the variable of the strength of the opposite hand are good for explaining variance (76.9–93.1%). Gender is the key demographic variable in the predicting models. Grip strength is not a good predictor of palmar pinch (adjusted-R2: 0.572–0.609), nor of thumb press and ball of thumb (adjusted-R2: 0.279–0.443). Conclusions: We recommend measuring the palmar pinch and ball of thumb strength and using them to predict the other two hand motions for convenience and time saving.

Komponisten, Interpreten und Editoren debattieren über Notation

2019 ◽  
Vol 33 (1) ◽  
pp. 64-81
Author(s):  
Dörte Schmidt
Keyword(s):  
New York ◽  
International Association ◽  
Contemporary Music ◽  
Second Step ◽  
John Cage ◽  
Musical Structure ◽  
New Developments ◽  
The Relationship

Abstract The article discusses how new developments in the notation of contemporary music were negotiated within the framework of the Darmstadt Summer Courses and which interests and actors played a role in this. The first part examines the publications and publication projects that emerged in the context of the Notation conference in 1964. The focus is on the interests of institutions such as the International Music Council and the International Association of Music Libraries, in whose name the New York publisher Kurt Stone attempted to persuade the International Music Institute Darmstadt to cooperate and, following on from the debates there, to systematically record various forms of notation together. In a second step, the content of the debates at the conference is examined, with a particular focus on the different and sometimes conflicting perspectives of interpreters and composers. Numerous connections to fundamental aesthetic discussions of the time can be worked out, in particular to the relationship between the composer’s intention and interpretation, which was renegotiated in a form of notation that was individualized to the extreme. Finally, with a view to later discussions, this topic is pointed to the question of the relationship between morphology and musical structure, exemplified by positions of Wolfgang Rihm (1982), Klaus Huber (1988) and John Cage (1990).

scholarly journals Association between Friends’ Use of Nicotine and Cannabis and Intake of both Substances among Adolescents

2021 ◽  
Vol 18 (2) ◽  
pp. 695
Author(s):  
Rachel Herold ◽  
Rachel Boykan ◽  
Allison Eliscu ◽  
Héctor E. Alcalá ◽  
Maciej L. Goniewicz
Keyword(s):  
New York ◽  
Peer Influence ◽  
Behavioral Problems ◽  
Secondary Analysis ◽  
Cannabis Use ◽  
Urinary Biomarker ◽  
Urinary Cotinine ◽  
Multivariable Analyses ◽  
Cannabis Smoking ◽  
The Relationship

Nicotine and cannabis use are common among adolescents and may be associated with behavioral problems, poor academic outcomes and use disorders. The goals of this analysis were the following: (1) Describe the influence of friends’ nicotine and cannabis smoking and vaping on self-reported use. (2) Describe the relationship between friends’ nicotine and cannabis use on participants’ urinary biomarkers of nicotine (cotinine) and cannabis (11-nor-9-carboxy-Δ⁹tetrahydrocannabinol=THC-COOH). This is a secondary analysis of survey and biomarker data collected in adolescents aged 12–21 between April 2017 and April 2018, in Long Island, New York. Bivariate and multivariable analyses were conducted using SPSS 26. A cutoff value of ≥10 ng/mL was used to signify recent usage for urinary cotinine and THC-COOH levels. Over one-third of the 517 surveyed adolescents reported using tobacco and one-third reported using cannabis. A significant relationship between friends’ substance use and self-use was found. For both tobacco and cannabis, over 90% (p < 0.01) of participants with urinary biomarker levels above cutoff had friends who used the respective substance. Friends’ nicotine and friends’ cannabis use were each independently associated with urinary biomarker levels for those substances (for nicotine, beta = 88.29, p = 0.03; for cannabis, beta = 163.58, p = 0.03). Friends’ use of nicotine and cannabis is associated with adolescents’ intake, as well as the physiological exposure to those substances. These findings underscore the importance of including peer influence in the discussion with adolescents about tobacco and cannabis use.

scholarly journals Enhanced Estimation of Root Zone Soil Moisture at 1 km Resolution Using SMAR Model and MODIS-Based Downscaled AMSR2 Soil Moisture Data

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5211
Author(s):  
Maedeh Farokhi ◽  
Farid Faridani ◽  
Rosa Lasaponara ◽  
Hossein Ansari ◽  
Alireza Faridhosseini
Keyword(s):  
Soil Moisture ◽  
Prediction Models ◽  
Surface Soil ◽  
Root Zone ◽  
Analytical Relationship ◽  
Moisture Profile ◽  
Essential Variable ◽  
Potential Benefits ◽  
Spatio Temporal ◽  
Hydrological Prediction

Root zone soil moisture (RZSM) is an essential variable for weather and hydrological prediction models. Satellite-based microwave observations have been frequently utilized for the estimation of surface soil moisture (SSM) at various spatio-temporal resolutions. Moreover, previous studies have shown that satellite-based SSM products, coupled with the soil moisture analytical relationship (SMAR) can estimate RZSM variations. However, satellite-based SSM products are of low-resolution, rendering the application of the above-mentioned approach for local and pointwise applications problematic. This study initially attempted to estimate SSM at a finer resolution (1 km) using a downscaling technique based on a linear equation between AMSR2 SM data (25 km) with three MODIS parameters (NDVI, LST, and Albedo); then used the downscaled SSM in the SMAR model to monitor the RZSM for Rafsanjan Plain (RP), Iran. The performance of the proposed method was evaluated by measuring the soil moisture profile at ten stations in RP. The results of this study revealed that the downscaled AMSR2 SM data had a higher accuracy in relation to the ground-based SSM data in terms of MAE (↓0.021), RMSE (↓0.02), and R (↑0.199) metrics. Moreover, the SMAR model was run using three different SSM input data with different spatial resolution: (a) ground-based SSM, (b) conventional AMSR2, and (c) downscaled AMSR2 products. The results showed that while the SMAR model itself was capable of estimating RZSM from the variation of ground-based SSM data, its performance increased when using downscaled SSM data suggesting the potential benefits of proposed method in different hydrological applications.

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