Evaluating the impact of three incentive programs on the economics of cofiring willow biomass with coal in New York State

Energy Policy ◽  
2005 ◽  
Vol 33 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Pradeep J Tharakan ◽  
Timothy A Volk ◽  
Christopher A Lindsey ◽  
Lawrence P Abrahamson ◽  
Edwin H White
Keyword(s):  
New York ◽  
New York State ◽  
York State ◽  
Incentive Programs ◽  
The Impact

The impact of snowfall on crashes, traffic volume, and revenue on the New York State Thruway

2021 ◽  
Author(s):  
David A. Call ◽  
Guy A. Flynt
Keyword(s):  
New York ◽  
New York State ◽  
Traffic Volume ◽  
Crash Risk ◽  
York State ◽  
Inclement Weather ◽  
Daily Data ◽  
Fatal Crashes ◽  
Traffic Volumes ◽  
The Impact

AbstractSnow has numerous effects on traffic, including reduced traffic volumes, greater crash risk, and increased travel times. This research examines how snow affects crash risk, traffic volume, and toll revenue on the New York State Thruway. Daily data from January for a ten-year period (2010-2019) were analyzed for the Thruway from the Pennsylvania state line in western New York to Syracuse.Anywhere from 35-50 percent of crashes are associated with inclement weather, with smaller impacts, proportionally, in areas with greater traffic volumes. As expected, snow was almost always involved when weather was a factor. “Unsafe speed” was the most common cause of crashes in inclement weather with all other factors (e.g., animals, drowsiness) much less likely to play a role. The percentage of crashes resulting in an injury did not change significantly with inclement conditions when compared to crashes occurring in fair conditions, and there were too few fatal crashes to make any inferences about them.Daily snowfall rates predicted about 30 percent of the variation in crash numbers, with every 5.1 cm of snowfall resulting in an additional crash, except in Buffalo where 5.1 cm of snow resulted in an additional 2.6 crashes. Confirming earlier results, daily snowfall had a large impact on passenger vehicle counts while commercial vehicle counts were less affected. Revenue data showed a similar pattern, with passenger revenue typically decreasing by 3-5 percent per 2.5 cm of snow, while commercial revenue decreases were 1-4 percent per 2.5 cm of snow.

Social Work Perspective

PEDIATRICS ◽  
1989 ◽  
Vol 83 (5) ◽  
pp. 903-905
Author(s):  
Sandra Hernandez
Keyword(s):  
New York ◽  
Chronic Illness ◽  
Sickle Cell Disease ◽  
Newborn Screening ◽  
Sickle Cell ◽  
New York State ◽  
Early Years ◽  
Cell Disease ◽  
York State ◽  
The Impact

The ultimate objective of newborn screening for sickle cell disease should be twofold. The first essential step is the identification of the infants at risk. This has been effectively done in New York state as of 1975 through the New York State Newborn Screening Program. However, identifying these children is not enough. Second is the much more complicated task of providing comprehensive follow-up care for families whose children are affected by the disease, including the much needed psychosocial services. This area continues to be sorely neglected. The increased risk of death due to overwhelming infection in the first 3 years of life for children with sickle cell disease has been noted in the literature. When there is no specialized care, 15% to 20% do not survive. Therefore, it is essential for knowledgeable staff to make contact and begin to develop a trusting relationship as soon as possible with parents of infants born with sickle cell disease. Prophylactic penicillin and pneumococcal vaccination can reduce mortality during the early years. Family involvement with a consistent, available team of health care providers is pivotal in understanding this chronic illness and coping effectively with this extraordinary stress. Our staff is available by telephone for consultations with patients or other medical staff during clinic and emergency room visits and hospitalizations. One element that is clear in our experience at the St Luke's-Roosevelt Hospital Sickle Cell Center in New York City is that adjustment to this chronic illness is a lifelong process. One or two counseling sessions at the time of diagnosis are not sufficient to enable families to fully understand the information given or to realize the impact of having a child with a chronic illness.

scholarly journals The impact of the Medicaid high‐risk ob care management program in New York State

2019 ◽  
Vol 55 (1) ◽  
pp. 71-81
Author(s):  
Young Joo Park ◽  
Stephen Weinberg ◽  
Lindsay W. Cogan
Keyword(s):  
New York ◽  
High Risk ◽  
Care Management ◽  
New York State ◽  
Management Program ◽  
York State ◽  
Care Management Program ◽  
The Impact

The Impact of State Aid on Sectarian Higher Education: The Case of New York State

1986 ◽  
Vol 48 (2) ◽  
pp. 264-288 ◽  
Author(s):  
Maureen Manion
Keyword(s):  
New York ◽  
Private Colleges ◽  
Religious Affiliation ◽  
New York State ◽  
The United States ◽  
State Standards ◽  
State Aid ◽  
York State ◽  
Institutions Of Higher Learning ◽  
The Impact

New York State provides institutional aid to nonpublic institutions of higher learning within the context of its constitutional prohibitions against aid to denominational institutions. To qualify for state aid, New York's private colleges and universities must prove they are constitutionally eligible, a process which has prompted extensive self-evaiuation and frequently some changes by many of those institutions with traditional religious affiliation. State aid administrators have chosen to restrict their constitutional approach to state standards and ignore the United States Supreme Court's tripartite standards articulated inLemonv.Kurtzman, as modified by theTilton-Hunt-Roemerdecisions. The state law has been cautiously and diplomatically administered, but the possibility of future state “entanglement” with church-related institutions remains.

Calculating Dwi/Dwai Recidivism with Limited Data: Using State Driver License File for Drinking and Driving Research

1991 ◽  
Vol 21 (4) ◽  
pp. 285-292 ◽  
Author(s):  
Jiang Yu ◽  
William R. Williford
Keyword(s):  
New York ◽  
Methodological Issue ◽  
New York State ◽  
Recidivism Rate ◽  
Drinking And Driving ◽  
Limited Data ◽  
Recidivism Rates ◽  
York State ◽  
Data Points ◽  
The Impact

One major research issue in drinking-driving is the volume of DWI/DWAI recidivism in a political unit during a given period of time. This article addresses a methodological issue: How can limited data from the official driver license file be used to calculate drinking-driving recidivism rates? New York State maintains one of the most comprehensive driver license files in the nation, but a dynamic process purges records on the file that are more than ten years old. The magnitude of the recidivism rate calculated from this file, thus, is influenced by the number of data points included: the more years of data included, the higher the rate. We used OLS to examine the impact of the dimension of the data on the recidivism rate and mathematically extended the file to the point where the impact of the data dimension is minimum. We, then, calculated the New York State DWI/DWAI recidivism with an “extended dimension.”

The Impact of Legislation Requiring DNR Orders: New York State Compared with Neighboring States

1996 ◽  
Vol 11 (6) ◽  
pp. 335-342 ◽  
Author(s):  
Daniel Teres ◽  
Keith Boyd ◽  
John Rapoport ◽  
Martin Strosberg ◽  
Robert Baker ◽  
...  
Keyword(s):  
New York ◽  
Length Of Stay ◽  
Data Base ◽  
New York State ◽  
The Other ◽  
Data Bases ◽  
York State ◽  
Icu Discharge ◽  
The Impact ◽  
Dnr Orders

Decisions to place limitations on the care of patients are complex, and they often involve physicians, other medical professionals, patients, or a surrogate decision-maker, family members, and others. In 1988, the Joint Commission on Accreditation of Health Care Organizations (JCAHO) and the New York State government adopted two different approaches to this complex issue of do-not-resuscitate (DNR) orders: one involved professional self-regulation, whereas the other mandated a standardized procedure requiring completion of legal documents. This study examines the impact of these two different approaches to writing of DNR orders for adult intensive care unit (ICU) patients on utilization and resulting length of stay. The study used three data bases. One is from a larger study designed to update the Mortality Probability Model (MPM), a measure of severity of illness for ICU patients. This data base includes consecutive admissions to the adult ICUs of four hospitals in the northeastern United States. The second is a similar data base from the European-North American Study of Severity Systems (ENAS), and it includes 20 hospitals. The third data base, a 1991 national survey of ICUs by the Society of Critical Care Medicine (SCCM), lists characteristics of patients in ICUs in the United States on a specific day. Logistic regression was used to analyze the first two data bases; the percentage of patients in New York with DNR orders was calculated for each of the three data bases and compared with patients in neighboring states. Length of ICU and hospital stay was measured in the first two data sets. In the MPM data, 14.4% of medical patients in New York had a DNR order written at the time of ICU discharge, compared with 198% of medical patients in Massachusetts; and 4.3% of New York surgical patients had a DNR order written at the time of ICU discharge, compared with 8.3% of surgical patients in Massachusetts. In the ENAS data, 7.4% of New York nonoperative patients has a DNR order in place within 24 hours, compared with 8.4% of such patients in the other states; and 1.0% of New York operative patients had DNR orders, compared with 3–5% of operative patients from other states. Logistic regression revealed that a New York patient was less likely to have a DNR order written than a patient located in one of the other states studied. Data from the SCCM survey demonstrated that the New York percentage of patients with “no CPR” orders was 5.50%, compared with a percentage of 6.87% in other states. With few exceptions, these differences between New York and surrounding states did not have an impact on hospital length of stay. During the period studied following implementation of New York's DNR Law, utilization of DNR orders in New York State was significantly lower than neighboring states. This decreased utilization, however, did not effect hospital utilization as measured through length of stay and ICU admissions.

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