scholarly journals Organizational Turning Points: The Transformation of the Almighty Latin King and Queen Nation in New York City

2020 ◽  
Vol 45 (2) ◽  
pp. 143-168
Author(s):  
Luca Berardi ◽  
Sandra Bucerius
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Turning Points ◽  
Criminal Careers ◽  
Time And Space ◽  
Criminal Organizations ◽  
Criminal Groups ◽  
The Life Course ◽  
Over Time

Sociologists and criminologists have relied on the concept of “turning points” to map individual criminal careers over the life course. Similar to individuals, criminal organizations undergo drastic changes that influence their trajectory over time and space. Using the case of the Almighty Latin King and Queen Nation (ALKQN) in New York City, we introduce the concept of “organizational turning points” to explain the group’s evolution through various legitimate and illegitimate forms. Bringing together conceptual lenses from literature on organizational change, culture and cognition, and criminology, we demonstrate that street gangs can be complex and fluid organisms that change over time and space. Identifying and recognizing organizational turning points in criminal groups can have important implications for scholars and practitioners alike.

Short-term forecast model of taxi demand based on time and space heterogeneity

2021 ◽  
pp. 1-12
Author(s):  
Zhiyu Yan ◽  
Shuang Lv
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Urban Traffic ◽  
Percentage Error ◽  
Density Level ◽  
Traffic Data ◽  
Short Term ◽  
Time And Space ◽  
Density Data

Accurate prediction of traffic flow is of great significance for alleviating urban traffic congestions. Most previous studies used historical traffic data, in which only one model or algorithm was adopted by the whole prediction space and the differences in various regions were ignored. In this context, based on time and space heterogeneity, a Classification and Regression Trees-K-Nearest Neighbor (CART-KNN) Hybrid Prediction model was proposed to predict short-term taxi demand. Firstly, a concentric partitioning method was applied to divide the test area into discrete small areas according to its boarding density level. Then the CART model was used to divide the dataset of each area according to its temporal characteristics, and KNN was established for each subset by using the corresponding boarding density data to estimate the parameters of the KNN model. Finally, the proposed method was tested on the New York City Taxi and Limousine Commission (TLC) data, and the traditional KNN model, backpropagation (BP) neural network, long-short term memory model (LSTM) were used to compare with the proposed CART-KNN model. The selected models were used to predict the demand for taxis in New York City, and the Kriging Interpolation was used to obtain all the regional predictions. From the results, it can be suggested that the proposed CART-KNN model performed better than other general models by showing smaller mean absolute percentage error (MAPE) and root mean square error (RMSE) value. The improvement of prediction accuracy of CART-KNN model is helpful to understand the regional demand pattern to partition the boarding density data from the time and space dimensions. The partition method can be extended into many models using traffic data.

scholarly journals Three months of informational trends in COVID-19 across New York City

2020 ◽  
Vol 42 (3) ◽  
pp. 448-450
Author(s):  
Wil Lieberman-Cribbin ◽  
Naomi Alpert ◽  
Adam Gonzalez ◽  
Rebecca M Schwartz ◽  
Emanuela Taioli
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Information Seeking ◽  
New York State ◽  
Search Term ◽  
Multiple Sources ◽  
The Usa ◽  
Trend Data ◽  
Over Time

Abstract In the midst of widespread community transmission of coronavirus disease 2019 (COVID-19) in New York, residents have sought information about COVID-19. We analyzed trends in New York State (NYS) and New York City (NYC) data to quantify the extent of COVID-19-related queries. Data on the number of 311 calls in NYC, Google Trend data on the search term ‘Coronavirus’ and information about trends in COVID-19 cases in NYS and the USA were compiled from multiple sources. There were 1228 994 total calls to 311 between 22 January 2020 and 22 April 2020, with 50 845 calls specific to COVID-19 in the study period. The proportion of 311 calls related to COVID-19 increased over time, while the ‘interest over time’ of the search term ‘Coronavirus’ has exponentially increased since the end of February 2020. It is vital that public health officials provide clear and up-to-date information about protective measures and crucial communications to respond to information-seeking behavior across NYC.

scholarly journals Temporal Trends in COVID-19 associated AKI from March to December 2020 in New York City

2021 ◽  
Author(s):  
Sergio Dellepiane ◽  
Akhil Vaid ◽  
Suraj K Jaladanki ◽  
Ishan Paranjpe ◽  
Steven Coca ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
Acute Kidney Injury ◽  
New York City ◽  
Renal Replacement Therapy ◽  
York City ◽  
Temporal Trends ◽  
Kidney Injury ◽  
Clinical Approach ◽  
Over Time

AbstractAcute Kidney Injury (AKI) is among the most common complications of Coronavirus Disease 2019 (COVID-19). Throughout 2020 pandemic, the clinical approach to COVID-19 has progressively improved, but it is unknown how these changes have affected AKI incidence and severity. In this retrospective analysis, we report the trend over time of COVID-19 associated AKI and need of renal replacement therapy in a large health system in New York City, the first COVID-19 epicenter in United States.

Calculating Age-Standardized Death Rates Among People With HIV Comparable Across Jurisdictions and Over Time

2021 ◽  
Vol 111 (1) ◽  
pp. 121-126
Author(s):  
Qiang Xia ◽  
Ying Sun ◽  
Chitra Ramaswamy ◽  
Lucia V. Torian ◽  
Wenhui Li
Keyword(s):  
United States ◽  
New York ◽  
New York City ◽  
York City ◽  
Death Rate ◽  
Age Distribution ◽  
The United States ◽  
Local Health ◽  
Death Rates ◽  
Over Time

The Centers for Disease Control and Prevention (CDC) and local health jurisdictions have been using HIV surveillance data to monitor mortality among people with HIV in the United States with age-standardized death rates, but the principles of age standardization have not been consistently followed, making age standardization lose its purpose—comparison over time, across jurisdictions, or by other characteristics. We review the current practices of age standardization in calculating death rates among people with HIV in the United States, discuss the principles of age standardization including those specific to the HIV population whose age distribution differs markedly from that of the US 2000 standard population, make recommendations, and report age-standardized death rates among people with HIV in New York City. When we restricted the analysis population to adults aged between 18 and 84 years in New York City, the age-standardized death rate among people with HIV decreased from 20.8 per 1000 (95% confidence interval [CI] = 19.2, 22.3) in 2013 to 17.1 per 1000 (95% CI = 15.8, 18.3) in 2017, and the age-standardized death rate among people without HIV decreased from 5.8 per 1000 in 2013 to 5.5 per 1000 in 2017.

scholarly journals A Taxonomic Checklist and Relative Abundance of the Mosquitoes of New York City

2018 ◽  
Vol 34 (2) ◽  
pp. 138-142 ◽  
Author(s):  
Waheed I. Bajwa
Keyword(s):  
New York ◽  
Invasive Species ◽  
New York City ◽  
Species Diversity ◽  
Relative Abundance ◽  
York City ◽  
Culex Pipiens ◽  
The City ◽  
Prevalent Species ◽  
Over Time

ABSTRACT This is the 1st time that a comprehensive checklist of the mosquitoes of New York City has been compiled. This list is based on an arrayed collection of 2.3 million mosquitoes trapped and identified from 1,369 locations in the city between 2000 and 2017. Forty-seven species and 6 subspecies were identified belonging to 9 mosquito genera. Culex pipiens was the most prevalent species, most frequently encountered throughout the city. Over time, species diversity in the genus Aedes has increased from 10 species in the 1930s to 23 species in the recent surveys (2000–17). Invasive species Aedes albopictus and Ae. japonicus japonicus, which were rare in 2000, are now well established in all 5 boroughs of the city.

Aesthetics, Repertoire, Roles, and Playbills

2017 ◽  
Author(s):  
Nancy Yunhwa Rao
Keyword(s):  
New York ◽  
New York City ◽  
San Francisco ◽  
Performance Practice ◽  
North American ◽  
York City ◽  
Chinese Opera ◽  
Cantonese Opera ◽  
Popular Novel ◽  
Over Time

This chapter provides a survey of Cantonese opera, its connection to other genres of Chinese opera, its music, repertoire, vocal style, accompanying instruments, etc. Because the performance practice changed over time, this chapter draws from a wealth of primary and secondary documents to offer a working knowledge of Cantonese opera as it was practiced in North American during the 1920s. Over 1000 Chinese playbills from San Francisco, New York City, Vancouver, Seattle and Havana between 1917 and 1929 provide the foundation for understanding the popular repertoire during the time. In addition, commentaries in Chinese newspapers, as well as memoirs and oral histories from veteran performers reveal much about the historical performance practice. Taken together, these resources form the basis of an understanding of the Cantonese opera in this period ranging from the increased usage of stage backdrops and stage props, a gradual shift of popular role types and vocal styles, and popular novel repertoire types. A reflection on the significance of daily opera playbill closes the chapter.

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