bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Atlantic Variability on Asian Summer Climate Is Sensitive to the Pattern of the Sea Surface Temperature Anomaly
Authors: Ratna Satyaban B. , Osborn Timothy J. , Joshi Manoj , Luterbacher Jürg 
Published: July 2020

AbstractWe simulate the response of Asian summer climate to Atlantic multidecadal oscillation (AMO)-like sea surface temperature (SST) anomalies using an intermediate-complexity general circulation model (IGCM4). Experiments are performed with seven individual AMO SST anomalies obtained from CMIP5/PMIP3 global climate models as well as their multimodel mean, globally and over the North Atlantic Ocean only, for both the positive and negative phases of the AMO. During the positive (warm) AMO phase, a Rossby wave train propagates eastward, causing a high pressure and warm and dry surface anomalies over eastern China and Japan. During the negative (cool) phase of the AMO, the midlatitude Rossby wave train is less robust, but the model does simulate a warm and dry South Asian monsoon, associated with the movement of the intertropical convergence zone in the tropical Atlantic. The circulation response and associated temperature and precipitation anomalies are sensitive to the choice of AMO SST anomaly pattern. A comparison between global SST and North Atlantic SST perturbation experiments indicates that East Asian climate anomalies are forced from the North Atlantic region, whereas South Asian climate anomalies are more strongly affected by the AMO-related SST anomalies outside the North Atlantic region. Experiments conducted with different amplitudes of negative and positive AMO anomalies show that the temperature response is linear with respect to SST anomaly but the precipitation response is nonlinear.
Near-Inertial Energy Propagation inside a Mediterranean Anticyclonic Eddy
Authors: Lelong M.-Pascale , Cuypers Yannis , Bouruet-Aubertot Pascale 
Published: July 2020

AbstractMotivated by observations of a strong near-inertial wave signal at the base of the semipermanent anticyclonic Cyprus Eddy during the 2010 Biogeochemistry from the Oligotrophic to the Ultraoligotrophic Mediterranean (BOUM) experiment, a numerical study is performed to investigate the role of near-inertial/eddy interactions in energy transfer out of the mixed layer. A hybrid temporal–spatial decomposition is used to split all variables into three independent components: slow (eddy) and fast (inertial oscillations + waves), which proves useful in understanding the flow dynamics. Through a detailed energy budget analysis, we find that the anticyclonic eddy acts as a catalyst in transferring wind-driven inertial energy to propagating waves. While the eddy sets the spatial scales of the waves, it does not participate in any energy exchange. Near-inertial propagation through the eddy core results in the formation of multiple critical levels with the largest accumulation of wave energy at the base of the eddy. A complementary ray-tracing analysis reveals critical-level formation when the surface-confined inertial rays originate within the negative vorticity region. In contrast, rays originating outside this region focus at the base of the eddy and can propagate at depth.
Adjoint-Derived Impact of Assimilated Observations on Tropical Cyclone Intensity Forecasts of Hurricane Joaquin (2015) and Hurricane Matthew (2016)
Authors: Hoover Brett T. , Velden Chris S. 
Published: July 2020

AbstractThe adjoint-derived observation impact method is used as a diagnostic to derive the impact of assimilated observations on a metric representing the forecast intensity of a tropical cyclone (TC). Storm-centered composites of observation impact and the model background state are computed across 6-hourly analysis/forecast cycles to compute the composite observation impact throughout the life cycle of Hurricane Joaquin (2015) to evaluate the impact of in situ wind and temperature observations in the upper and lower troposphere, as well as the impact of brightness temperature and precipitable water observations, on intensity forecasts with forecast lengths from 12 to 48 h. The compositing across analysis/forecast cycles allows for the exploration of consistent relationships between the synoptic-scale state of the initial conditions and the impact of observations that are interpreted as flow-dependent interactions between model background bias and correction by assimilated observations on the TC intensity forecast. The track of Hurricane Matthew (2016), with an extended period of time near the coasts of Florida, Georgia, and the Carolinas, allows for a comparison of the impact of aircraft reconnaissance observations with the impact of nearby overland rawinsonde observations available within the same radius of the TC.
Forecasts of Hurricanes Using Large-Ensemble Outputs
Authors: Lin Jonathan , Emanuel Kerry , Vigh Jonathan L. 
Published: July 2020

AbstractThis paper describes the development of a model framework for Forecasts of Hurricanes Using Large-Ensemble Outputs (FHLO). FHLO quantifies the forecast uncertainty of a tropical cyclone (TC) by generating probabilistic forecasts of track, intensity, and wind speed that incorporate the state-dependent uncertainty in the large-scale field. The main goal is to provide useful probabilistic forecasts of wind at fixed points in space, but these require large ensembles [O(1000)] to flesh out the tails of the distributions. FHLO accomplishes this by using a computationally inexpensive framework, which consists of three components: 1) a track model that generates synthetic tracks from the TC tracks of an ensemble numerical weather prediction (NWP) model, 2) an intensity model that predicts the intensity along each synthetic track, and 3) a TC wind field model that estimates the time-varying two-dimensional surface wind field. The intensity and wind field of a TC evolve as though the TC were embedded in a time-evolving environmental field, which is derived from the forecast fields of ensemble NWP models. Each component of the framework is evaluated using 1000-member ensembles and four years (2015–18) of TC forecasts in the Atlantic and eastern Pacific basins. We show that the synthetic track algorithm generates tracks that are statistically similar to those of the underlying global ensemble models. We show that FHLO produces competitive intensity forecasts, especially when considering probabilistic verification statistics. We also demonstrate the reliability and accuracy of the probabilistic wind forecasts. Limitations of the model framework are also discussed.
Multitasking in Driving as Optimal Adaptation Under Uncertainty
Authors: Jokinen Jussi P. P. , Kujala Tuomo , Oulasvirta Antti 
Published: July 2020

Objective The objective was to better understand how people adapt multitasking behavior when circumstances in driving change and how safe versus unsafe behaviors emerge. Background Multitasking strategies in driving adapt to changes in the task environment, but the cognitive mechanisms of this adaptation are not well known. Missing is a unifying account to explain the joint contribution of task constraints, goals, cognitive capabilities, and beliefs about the driving environment. Method We model the driver’s decision to deploy visual attention as a stochastic sequential decision-making problem and propose hierarchical reinforcement learning as a computationally tractable solution to it. The supervisory level deploys attention based on per-task value estimates, which incorporate beliefs about risk. Model simulations are compared against human data collected in a driving simulator. Results Human data show adaptation to the attentional demands of ongoing tasks, as measured in lane deviation and in-car gaze deployment. The predictions of our model fit the human data on these metrics. Conclusion Multitasking strategies can be understood as optimal adaptation under uncertainty, wherein the driver adapts to cognitive constraints and the task environment’s uncertainties, aiming to maximize the expected long-term utility. Safe and unsafe behaviors emerge as the driver has to arbitrate between conflicting goals and manage uncertainty about them. Application Simulations can inform studies of conditions that are likely to give rise to unsafe driving behavior.
Differential Association of HIV Funding With HIV Mortality by Race/Ethnicity, United States, 1999-2017
Authors: Truman Benedict I. , Moonesinghe Ramal , Brown Yolanda T. , Chang Man-Huei , Mermin Jonathan H. , Dean Hazel D. 
Published: July 2020

Objective Federal funds have been spent to reduce the disproportionate effects of HIV/AIDS on racial/ethnic minority groups in the United States. We investigated the association between federal domestic HIV funding and age-adjusted HIV death rates by race/ethnicity in the United States during 1999-2017. Methods We analyzed HIV funding data from the Kaiser Family Foundation by federal fiscal year (FFY) and US age-adjusted death rates (AADRs) by race/ethnicity (Hispanic, non-Hispanic white, non-Hispanic black, and Asian/Pacific Islander and American Indian/Alaska Native [API+AI/AN]) from Centers for Disease Control and Prevention WONDER detailed mortality files. We fit joinpoint regression models to estimate the annual percentage change (APC), average APC, and changes in AADRs per billion US dollars in HIV funding, with 95% confidence intervals (CIs). For 19 data points, the number of joinpoints ranged from 0 to 4 on the basis of rules set by the program or by the user. A Monte Carlo permutation test indicated significant ( P < .05) changes at joinpoints, and 2-sided t tests indicated significant APCs in AADRs. Results Domestic HIV funding increased from $10.7 billion in FFY 1999 to $26.3 billion in FFY 2017, but AADRs decreased at different rates for each racial/ethnic group. The average rate of change in AADR per US billion dollars was −9.4% (95% CI, −10.9% to −7.8%) for Hispanic residents, −7.8% (95% CI, −9.0% to −6.6%) for non-Hispanic black residents, −6.7% (95% CI, −9.3% to −4.0%) for non-Hispanic white residents, and −5.2% (95% CI, −7.8% to −2.5%) for non-Hispanic API+AI/AN residents. Conclusions Increased domestic HIV funding was associated with faster decreases in age-adjusted HIV death rates for Hispanic and non-Hispanic black residents than for residents in other racial/ethnic groups. Increasing US HIV funding could be associated with decreasing future racial/ethnic disparities in the rate of HIV-related deaths.
A Rapid Review of the Impact of Systems-Level Policies and Interventions on Population-Level Outcomes Related to the Opioid Epidemic, United States and Canada, 2014-2018
Authors: Ansari Bahareh , Tote Katherine M. , Rosenberg Eli S. , Martin Erika G. 
Published: July 2020

Objectives In the United States, rising rates of overdose deaths and recent outbreaks of hepatitis C virus and HIV infection are associated with injection drug use. We updated a 2014 review of systems-level opioid policy interventions by focusing on evidence published during 2014-2018 and new and expanded opioid policies. Methods We searched the MEDLINE database, consistent with the 2014 review. We included articles that provided original empirical evidence on the effects of systems-level interventions on opioid use, overdose, or death; were from the United States or Canada; had a clear comparison group; and were published from January 1, 2014, through July 19, 2018. Two raters screened articles and extracted full-text data for qualitative synthesis of consistent or contradictory findings across studies. Given the rapidly evolving field, the review was supplemented with a search of additional articles through November 17, 2019, to assess consistency of more recent findings. Results The keyword search yielded 535 studies, 66 of which met inclusion criteria. The most studied interventions were prescription drug monitoring programs (PDMPs) (59.1%), and the least studied interventions were clinical guideline changes (7.6%). The most common outcome was opioid use (77.3%). Few articles evaluated combination interventions (18.2%). Study findings included the following: PDMP effectiveness depends on policy design, with robust PDMPs needed for impact; health insurer and pharmacy benefit management strategies, pill-mill laws, pain clinic regulations, and patient/health care provider educational interventions reduced inappropriate prescribing; and marijuana laws led to a decrease in adverse opioid-related outcomes. Naloxone distribution programs were understudied, and evidence of their effectiveness was mixed. In the evidence published after our search’s 4-year window, findings on opioid guidelines and education were consistent and findings for other policies differed. Conclusions Although robust PDMPs and marijuana laws are promising, they do not target all outcomes, and multipronged interventions are needed. Future research should address marijuana laws, harm-reduction interventions, health insurer policies, patient/health care provider education, and the effects of simultaneous interventions on opioid-related outcomes.
The Impact of Syringe Services Program Policy on Risk Behaviors Among Persons Who Inject Drugs in 3 US Cities, 2005-2015
Authors: Nassau Tanner , Al-Tayyib Alia , Robinson William T. , Shinefeld Jennifer , Brady Kathleen A. 
Published: July 2020

Objectives The impact of a syringe services program (SSP) policy on risk behaviors and its durability are not as well studied as the impact of the SSPs themselves. We examined whether trends in syringe sharing among persons who inject drugs (PWID) were associated with changes to syringe access policies in 3 US cities: Denver, New Orleans, and Philadelphia. Methods PWID were surveyed through National HIV Behavioral Surveillance System surveys in each city in 2005, 2009, 2012, and 2015. We assessed changes in syringe sharing from 2005 to 2015 by city. We used multivariable stepwise logistic regression analysis to measure the associations among syringe sharing and injection works sharing, time, and SSP access. Results From 2005 to 2015, syringe sharing decreased significantly from 49.1% to 33.1% in Denver ( P < .001), increased significantly from 32.0% to 50.5% in New Orleans ( P < .001), and remained unchanged in Philadelphia (30.4% to 31.5%; P = .87). Compared with persons who obtained syringes from any nonsterile source, the adjusted odds of syringe sharing among PWID were significantly lower in each city if syringes were obtained from sterile sources only: Denver adjusted odds ratio (aOR) = 0.23 (95% confidence interval [CI], 0.18-0.30; New Orleans aOR = 0.26 (95% CI, 0.19-0.35), and Philadelphia aOR = 0.43 (95% CI, 0.33-0.57). Conclusions The lowest proportion of PWID reporting syringe sharing was in Philadelphia, which has a long-standing legal SSP. Implementation of a legal SSP in Denver in 2012 corresponded to a decrease in sharing, whereas the lack of a legal SSP in New Orleans corresponded to an increase in sharing. Universal long-term access to legal SSPs could further the progress made in HIV prevention among PWID.
Red cell distribution width is correlated with all-cause mortality of patients in the coronary care unit
Authors: Peng Yangpei , Guan Xueqiang , Wang Jie , Ma Jun 
Published: July 2020

Objective The predictive value of red blood cell distribution width (RDW) in patients in the coronary care unit (CCU) remains unknown. This study aimed to examine the prognostic value of RDW in these patients. Methods Clinical data were extracted from the Medical Information Mart for Intensive Care-III database. Baseline data were collected within 24 hours after patients’ first admission to the CCU. The outcomes of our study were 30-day and 90-day mortality. Results A total of 8254 patients were included and their mean age was 66.9 ± 15.8 years (56% were men). For 30-day all-cause mortality, the hazard ratios (95% confidence interval) of the medium RDW (13.7–15.3) and high-RDW groups > 15.3) were 1.72 (1.55, 1.91) and 2.57 (2.33, 2.85), respectively, compared with the reference group in an unadjusted model. This association remained similar in multivariate models. Similar correlations were observed for 90-day all-cause mortality. The areas under the curve of RDW and the Sequential Organ Failure Assessment (SOFA) score were 0.625 and 0.692, respectively. Conclusions RDW is correlated with an increased risk of 30-day and 90-day mortality of patients in the CCU. The predictive value of RDW is not as good as that of the SOFA score.
Pre-treatment Factors Affecting Post-treatment Velopharyngeal Incompetency in Patients with Unilateral Cleft Lip and Palate Treated with Maxillary Rigid External Distraction
Authors: Agarwal S. S. , Londhe Sanjay , Mitra Rajat , Datana Sanjeev 
Published: July 2020

Introduction: Maxillary advancement (MA) with rigid external distraction (RED) to correct mid-face deficiency in adult cases with cleft lip and palate (CLP) may trigger velopharyngeal incompetency (VPI) post-surgically. Aim and objectives: To determine pre-treatment factors affecting worsening of post-surgical VPI in patients with repaired unilateral CLP who underwent MA with RED. Material and methods: Treatment records of 10 patients with unilateral CLP who underwent MA with RED were selected from institutional archives. All patients underwent clinical evaluation of velopharyngeal function at T1 (1 week before surgery) and T2 (3 months after surgery). Based on post-surgical VPI status, patients were divided into 2 groups: group 1 (no change in VPI) and group 2 (worsened VPI). Lateral cephalograms were manually traced at T1 and T2 to determine the changes in length of soft palate (LSP) and pharyngeal depth (PD) at T2. The information regarding amount of MA and presence of pre-surgical VPI was obtained from case sheets of patients. Results: Mean LSP and PD at T2 were higher compared to T1 ( p-value < .001). No significant difference was observed in mean pre-surgical age, gender, pre-surgical LSP, and pre-surgical PD between the study groups ( p-value > .05 for all). The worsened VPI post-surgically was significantly associated with the presence of VPI pre-surgically and also with the amount of MA ( p-value < .05 for both). Conclusions: Amount of MA and presence of pre-surgical VPI are most important factors affecting post-surgical VPI. Prospective studies are recommended to validate the findings of this study.
Comparing “Individual Health” Message Framing to “Organizational Efficiency” Message Framing to Encourage Adoption of Wearable Health Technologies at Work
Authors: Kwong Jillian K. , Cruz Ignacio , Murphy Sheila T. 
Published: July 2020

Purpose: To determine the relative impact of framing on employee intention to adopt wearable technology (eg, Fitbits) at work. Setting and Design: Posttest only online experiment utilizing a 2 (framing: organizational efficiency vs individual health) × 2 (financial incentive: absent vs present) between-subjects design. Participants: Participants (N = 310) were 18 years or older, currently employed, and residing in the United States. Measures: Unified Theory of Acceptance and Use of Technology (UTAUT) subscale on behavioral intent (modified for wearable technology). Analysis: Chi-square and between-subjects analysis of variance. Results: Participants receiving the organizational efficiency frame ( M = 3.97) expressed significantly lower intention to adopt a wearable compared to the individual health frame ( M = 4.37), F2,308 = 3.99, P = .047. Financial incentives had a positive effect on adoption intention ( M = 4.39 with incentive, M = 3.95 no incentive), F2,308 = 4.46, P = .036. The main effects of frame and incentive were additive, with participants in the individual health with incentive condition (n = 78, M = 4.60) expressing the highest intention to adopt and organizational efficiency without incentive expressing the lowest adoption intention (n = 77, M = 3.80; P = .03). Conclusions: Messaging emphasizing individual health benefits plus financial incentives might prove most successful when encouraging adoption of wearables at work.
Mental Health Risk Among Members of the Millennial Population Cohort: A Concern for Public Health
Authors: Lucero Julie E. , Emerson Amber D. , Bowser Teysha , Koch Brandon 
Published: July 2020

Purpose: Within the millennial population cohort, identify groups reporting increased risk of nonspecific psychological distress. As the largest living population cohort, taking stock of health and well-being early is necessary as substantial national resources may be needed as this cohort ages. Design: The 2017 National Health Interview Survey data, an annual multipurpose survey of the US population, was used. Sample: A sample of 7303 respondents were created by limiting data set to birth years 1980 to 1998. Measures: Outcomes were feeling like everything is an effort, worthlessness, hopelessness, restlessness, nervousness, and sadness. Combined these statements of feeling make up a measure of nonspecific psychological distress, past 30 days. Analysis: A logistic regression was performed on each outcome. All models controlled for demographic variables known to be associated with psychological distress. Results: Females are 1.4 times more likely than males to report nonspecific psychological distress ( P < .001), whereas Hispanics and Blacks are less likely to report nonspecific psychological distress (odds ratio [OR] = 0.49, OR = 0.57, P < .001). American Indians were less likely to report worthlessness (OR = 0.30, P < .05). However, multiple race individuals increasingly reported hopelessness (OR = 1.55, P < .05). Young adults are less likely than emerging adults to report sadness (OR = 0.85, P < .05). Conclusion: In this sample, racial/ethnic groups fared better than referent groups. Health programs need to integrate intersectional identities into promotion of mental health.
Geodemographies of Breastfeeding Support
Authors: Grubesic Tony H. , Durbin Kelly M. 
Published: July 2020

Background Mother-to-mother breastfeeding support organizations provide important information and guidance for helping mothers initiate and maintain breastfeeding, postpartum. However, the availability of this support is limited by a constellation of barriers, including race, culture, socioeconomic status, and geography. Research aims To identify the geodemographic composition of communities where breastfeeding support was available from the mother-to-mother support organizations Breastfeeding USA and La Leche League, identify underlying issues of equity, and highlight locations where more support resources may be needed. Methods The locations of mother-to-mother support meetings were collected by ZIP code ( N = 180) and were combined with a geodemographic database and exploratory spatial data analysis to explore the compositional characteristics of communities served ( N = 1,173). Results Significant gaps in the geographic distribution of breastfeeding support existed. While many metropolitan areas benefited from numerous mother-to-mother support groups and peer counselors, the geographic footprint of this support favored communities that were white, affluent, and suburban. Conclusion Spatial analytics combined with geodemographic analysis provide a unique perspective into the diverse landscape of mother-to-mother breastfeeding support groups at a local level. Our results highlighted inequities in the distribution of support provided and prescriptive guidance regarding where more resources may be needed.