Assessment of 2-year mortality with use of drug-coated devices in femoropopliteal disease: A real world experience from the Bronx, New York

2022 ◽  
Author(s):  
Safiriyu Israel ◽  
Divya Gumber ◽  
Leonidas Palaiodimos ◽  
Seth Sokol ◽  
Sheetal V. Mathai ◽  
...  
Keyword(s):  
New York ◽  
Real World

scholarly journals Inferring Long-Term Demand of Newly Established Stations for Expansion Areas in Bike Sharing System

2021 ◽  
Vol 11 (15) ◽  
pp. 6748
Author(s):  
Hsun-Ping Hsieh ◽  
Fandel Lin ◽  
Jiawei Jiang ◽  
Tzu-Ying Kuo ◽  
Yu-En Chang
Keyword(s):  
New York ◽  
Feature Extraction ◽  
Real World ◽  
Extraction Methods ◽  
Real World Data ◽  
Urban Dynamics ◽  
Bike Sharing ◽  
The Government ◽  
Short Time

Research on flourishing public bike-sharing systems has been widely discussed in recent years. In these studies, many existing works focus on accurately predicting individual stations in a short time. This work, therefore, aims to predict long-term bike rental/drop-off demands at given bike station locations in the expansion areas. The real-world bike stations are mainly built-in batches for expansion areas. To address the problem, we propose LDA (Long-Term Demand Advisor), a framework to estimate the long-term characteristics of newly established stations. In LDA, several engineering strategies are proposed to extract discriminative and representative features for long-term demands. Moreover, for original and newly established stations, we propose several feature extraction methods and an algorithm to model the correlations between urban dynamics and long-term demands. Our work is the first to address the long-term demand of new stations, providing the government with a tool to pre-evaluate the bike flow of new stations before deployment; this can avoid wasting resources such as personnel expense or budget. We evaluate real-world data from New York City’s bike-sharing system, and show that our LDA framework outperforms baseline approaches.

Abstract T P390: Baseline Stroke Knowledge of 4th-6th Grade Children in New York City Public Schools Has No Appreciable Trend from 2005-2014

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
James M Noble ◽  
Cailey Simmons ◽  
Mindy F Hecht ◽  
Olajide Williams
Keyword(s):  
New York ◽  
New York City ◽  
Public Schools ◽  
Real World ◽  
York City ◽  
Hip Hop ◽  
Expected Value ◽  
Stroke Symptom ◽  
Stroke Diagnosis ◽  
Stroke Knowledge

Background and Purpose: To examine whether the baseline stroke knowledge of children in schools participating in our Hip Hop Stroke program has changed since its inception in late 2005. Methods: We gathered baseline stroke knowledge surveys from 2,839 students enrolled in the Hip Hop Stroke program from November 2005 through April 2014 with median annual enrollment of 344 (range 55 to 582). All students were enrolled in New York City public schools, in 4th through 6th grade. Students who left ≥3 questions blank were discarded; other blank answers were treated as missing. Data were analyzed using binomial, Chi-Square and regression analysis (SPSS v22.0). Results: Overall there was no consistent trend in baseline stroke knowledge by academic year. Overall, 28.4% of students recognized stroke occurred in the brain (expected value 25% [p<0.001], range from 13.8-61.2% for any given year). With stroke diagnosis provided, 85.5% of 1436 students knew to call 911, whereas only 59.6% of 1243 students knew to call 911 when given a hypothetical real-world stroke symptom scenario without stroke diagnosis included, p<0.001. For a composite assessment of knowledge including 4 stroke symptoms (blurred vision, facial droop, sudden headache, slurred speech), 1 distractor (chest pain), and urgent action plan (call 911), asked consistently since 2006, overall students scored a mean 2.86 (95% CI: 2.80-2.92; possible range 0-6, expected value 2.75), with annual scores ranging from 2.54-3.56. Conclusion: Stroke knowledge among elementary school students remains low and has not appreciably changed during the last 9 years. The use of hypothetical real-world stroke symptom scenarios may more accurately reflect intent to call 911 for stroke than the use of questions in which stroke diagnosis is given.

scholarly journals Learning Geo-Contextual Embeddings for Commuting Flow Prediction

2020 ◽  
Vol 34 (01) ◽  
pp. 808-816
Author(s):  
Zhicheng Liu ◽  
Fabio Miranda ◽  
Weiting Xiong ◽  
Junyan Yang ◽  
Qiao Wang ◽  
...  
Keyword(s):  
New York ◽  
Real World ◽  
Policy Development ◽  
Contextual Information ◽  
Supply And Demand ◽  
Gradient Boosting ◽  
Spatial Correlations ◽  
Commuting Flows ◽  
Flow Prediction ◽  
Conventional Models

Predicting commuting flows based on infrastructure and land-use information is critical for urban planning and public policy development. However, it is a challenging task given the complex patterns of commuting flows. Conventional models, such as gravity model, are mainly derived from physics principles and limited by their predictive power in real-world scenarios where many factors need to be considered. Meanwhile, most existing machine learning-based methods ignore the spatial correlations and fail to model the influence of nearby regions. To address these issues, we propose Geo-contextual Multitask Embedding Learner (GMEL), a model that captures the spatial correlations from geographic contextual information for commuting flow prediction. Specifically, we first construct a geo-adjacency network containing the geographic contextual information. Then, an attention mechanism is proposed based on the framework of graph attention network (GAT) to capture the spatial correlations and encode geographic contextual information to embedding space. Two separate GATs are used to model supply and demand characteristics. To enhance the effectiveness of the embedding representation, a multitask learning framework is used to introduce stronger restrictions, forcing the embeddings to encapsulate effective representation for flow prediction. Finally, a gradient boosting machine is trained based on the learned embeddings to predict commuting flows. We evaluate our model using real-world dataset from New York City and the experimental results demonstrate the effectiveness of our proposed method against the state of the art.

scholarly journals Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results from a SIER Model Based on Real World Data

2020 ◽  
Author(s):  
Jian Li ◽  
Yuming Wang ◽  
Jing Wu ◽  
Jing-Wen Ai ◽  
Hao-Cheng Zhang ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Real World ◽  
York City ◽  
Phase 1 ◽  
Real World Data ◽  
World Data ◽  
Social Distancing ◽  
Slowing Down ◽  
Predicted Values

Abstract Public health interventions have been implemented to contain the outbreak of COVID-19 in New York City. However, the assessment of those interventions, e.g. social distancing, cloth face covering based on the real-world data from filed study is lacking. The SEIR compartmental model was used to evaluate the social distancing and cloth face covering effect on the daily culminative laboratory confirmed cases in NYC, and COVID-19 transmissibility. The latter was measured by Rt reproduction numbers in three phases which were based on two interventions in implemented in the timeline. The transmissibility decreased from phase 1 to phase 3. The Initial, R0 was 4.60 in Phase 1 without any intervention. After social distancing, the Rt value was reduced by 68%, while after the mask recommendation, it was further reduced by ~60%. Interventions resulted in significant reduction of confirmed case numbers, relative to predicted values based on SEIR model without intervention. Our findings highlight the effectiveness of social distancing and cloth face coverings in slowing down the spread of SARS-CoV-2 in NYC.

The Journey towards Castration: Interracial Sexual Stereotypes in Ellison's Invisible Man

1971 ◽  
Vol 4 (2) ◽  
pp. 227-231
Author(s):  
Frederick L. Radford
Keyword(s):  
New York ◽  
Real World ◽  
Ralph Ellison ◽  
James Baldwin ◽  
Sexual Stereotypes ◽  
American Mind ◽  
Invisible Man ◽  
Negro Male ◽  
The Real ◽  
White American

In our society it is not unusual for a Negro to experience a sensation that he does not exist in the real world at all. He seems rather to exist in the nightmarish fantasy of the white American mind as a phantom that the white mind seeks unceasingly, by means both crude and subtle, to lay.(Ralph Ellison, Shadow and Act (New York, 1964), p. 304)It is still true, alas, that to be an American Negro male is also to be a kind of walking phallic symbol: which means that one pays, in one's own personality, for the sexual insecurity of others.(James Baldwin, Nobody Knows My Name (New York, 1961), p. 172)

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