bluuebunny/crossref_metadata_2025_split huggingface dataset:
Daily High-Resolution Temperature and Precipitation Fields for the Contiguous United States from 1951 to Present
Authors: Durre Imke , Arguez Anthony , Schreck Carl J. , Squires Michael F. , Vose Russell S. 
Published: August 2022

Abstract
In this paper, a new set of daily gridded fields and area averages of temperature and precipitation is introduced that covers the contiguous United States (CONUS) from 1951 to present. With daily updates and a grid resolution of approximately 0.0417° (nominally 5 km), the product, named nClimGrid-Daily, is designed to be used particularly in climate monitoring and other applications that rely on placing event-specific meteorological patterns into a long-term historical context. The gridded fields were generated by interpolating morning and midnight observations from the Global Historical Climatology Network–Daily dataset using thin-plate smoothing splines. Additional processing steps limit the adverse effects of spatial and temporal variations in station density, observation time, and other factors on the quality and homogeneity of the fields. The resulting gridded data provide smoothed representations of the point observations, although the accuracy of estimates for individual grid points and days can be sensitive to local spatial variability and the ability of the available observations and interpolation technique to capture that variability. The nClimGrid-Daily dataset is therefore recommended for applications that require the aggregation of estimates in space and/or time, such as climate monitoring analyses at regional to national scales.

Significance Statement
Many applications that use historical weather observations require data on a high-resolution grid that are updated daily. Here, a new dataset of daily temperature and precipitation for 1951–present is introduced that was created by interpolating irregularly spaced observations to a regular grid with a spacing of 0.0417° across the contiguous United States. Compared to other such datasets, this product is particularly suitable for monitoring climate and drought on a daily basis because it was processed so as to limit artificial variations in space and time that may result from changes in the types and distribution of observations used.
Introducing TC Translation Speed into the Dynamical–Statistical–Analog Ensemble Forecast for Landfalling Typhoon Daily Precipitation Model and Simulating the Daily Precipitation of Supertyphoon Lekima (2019)
Authors: Ma Yunqi , Jia Zuo , Ren Fumin , Jia Li , McBride John L. 
Published: August 2022

Abstract
The Dynamical–Statistical–Analog Ensemble Forecast for Landfalling Typhoon Daily Precipitation (DSAEF_LTP_D) model is introduced in this paper. To improve the DSAEF_LTP_D model’s forecasting ability, tropical cyclone (TC) translation speed was introduced. Taking Supertyphoon Lekima (2019), which produced widespread heavy rainfall from 9 to 11 August 2019 as the target TC, two simulation experiments associated with the prediction of daily precipitation were conducted: the first involving the DSAEF_LTP_D model containing only the TC track (the actual trajectory of the TC center), named DSAEF_LTP_D-1; and the second containing both TC track and translation speed, named DSAEF_LTP_D-2. The results show the following: 1) With TC translation speed added into the model, the forecasting performance for heavy rainfall (24-h accumulated precipitation exceeding 50 and 100 mm) on 9 and 10 August improves, being able to successfully capture the center of heavy rainfall, but the forecasting performance is the same as DSAEF_LTP_D-1 on 11 August. 2) Compared with four numerical weather prediction (NWP) models (i.e., ECMWF, GFS, GRAPES, and SMS-WARMS), the TS100 + TS50 (the sum of TS values for predicting 24-h accumulated precipitation of ≥100 and ≥50 mm) of DSAEF_LTP_D-2 is comparable to the best performer of the NWP models (ECMWF) on 9 and 10 August, while the performance of DSAEF_LTP_D model for predicting heavy rainfall on 11 August is poor. 3) The newly added similarity regions make up for the deficiency that the similarity regions are narrower when the TC track is northward, which leads to DSAEF_LTP_D-2 having a better forecasting performance for heavy rainfall on 11 August, with the TS100 + TS50 increasing from 0.3021 to 0.4286, an increase of 41.87%.
Quantification of NSSL Warn-on-Forecast System Accuracy by Storm Age Using Object-Based Verification
Authors: Guerra Jorge E. , Skinner Patrick S. , Clark Adam , Flora Montgomery , Matilla Brian , Knopfmeier Kent , Reinhart Anthony E. 
Published: August 2022

Abstract
The National Severe Storm Laboratory’s Warn-on-Forecast System (WoFS) is a convection-allowing ensemble with rapidly cycled data assimilation (DA) of various satellite and radar datasets designed for prediction at 0–6-h lead time of hazardous weather. With the focus on short lead times, WoFS predictive accuracy is strongly dependent on its ability to accurately initialize and depict the evolution of ongoing storms. Since it takes multiple DA cycles to fully “spin up” ongoing storms, predictive skill is likely a function of storm age at the time of model initialization, meaning that older storms that have been through several DA cycles will be forecast with greater accuracy than newer storms that initiate just before model initialization or at any point after. To quantify this relationship, we apply an object-based spatial tracking and verification approach to map differences in the probability of detection (POD), in space–time, of predicted storm objects from WoFS with respect to Multi-Radar Multi-Sensor (MRMS) reflectivity objects. Object-tracking/matching statistics are computed for all suitable and available WoFS cases from 2017 to 2021. Our results indicate sharply increasing POD with increasing storm age for lead times within 3 h. PODs were about 0.3 for storm objects that emerge 2–3 h after model initialization, while for storm objects that were at least an hour old at the time of model initialization by DA, PODs ranged from around 0.7 to 0.9 depending on the lead time. These results should aid in forecaster interpretation of WoFS, as well as guide WoFS developers on improving the model and DA system.

Significance Statement
The Warn-on-Forecast System (WoFS) is a collection of weather models designed to predict individual thunderstorms. Before the models can predict storms, they must ingest radar and satellite observations to put existing storms into the models. Because storms develop at different times, more observations will exist for some storms in the model domain than others, which results in WoFS forecasts with different accuracy for different storms. This paper estimates the differences in accuracy for storms that have existed for a long time and those that have not by tracking observed and predicted storms. We find that the likelihood of WoFS accurately predicting a thunderstorm nearly doubles if the storm has existed for over an hour prior to the forecast. Understanding this relationship between storm age and forecast accuracy will help forecasters better use WoFS predictions and guide future research to improve WoFS forecasts.
Attribution of North American Subseasonal Precipitation Prediction Skill
Authors: Sun Lantao , Hoerling Martin P. , Richter Jadwiga H. , Hoell Andrew , Kumar Arun , Hurrell James W. 
Published: August 2022

Abstract
The skill of NOAA’s official monthly U.S. precipitation forecasts (issued in the middle of the prior month) has historically been low, having shown modest skill over the southern United States, but little or no skill over large portions of the central United States. The goal of this study is to explain the seasonal and regional variations of the North American subseasonal (weeks 3–6) precipitation skill, specifically the reasons for its successes and its limitations. The performances of multiple recent-generation model reforecasts over 1999–2015 in predicting precipitation are compared to uninitialized simulation skill using the atmospheric component of the forecast systems. This parallel analysis permits attribution of precipitation skill to two distinct sources: one due to slowly evolving ocean surface boundary states and the other to faster time-scale initial atmospheric weather states. A strong regionality and seasonality in precipitation forecast performance is shown to be analogous to skill patterns dictated by boundary forcing constraints alone. The correspondence is found to be especially high for the North American pattern of the maximum monthly skill that is achieved in the reforecast. The boundary forcing of most importance originates from tropical Pacific SST influences, especially those related to El Niño–Southern Oscillation. We discuss physical constraints that may limit monthly precipitation skill and interpret the performance of existing models in the context of plausible upper limits.

Significance Statement
Skillful subseasonal precipitation predictions have societal benefits. Over the United States, however, NOAA’s official U.S. monthly precipitation forecast skill has been historically low. Here we explore origins for skill of North American week-3 to week-6 precipitation predictions. Skill arising from initial weather states is compared to that arising from ocean surface boundary states alone. The monthly and seasonally varying pattern of U.S. monthly precipitation skill is appreciably derived from boundary constraints, linked especially with El Niño–Southern Oscillation. Forecasts of opportunity are identified, despite the low skill of monthly precipitation forecasts on average. Potential limits of monthly precipitation skill are explored that provide insight on the juxtaposition of “skill deserts” over the central United States with high skill regions over western North America.
Trends in Residency Applicant Volume in Otolaryngology-Head and Neck Surgery and Peer Specialties
Authors: Bourdillon Alexandra T. , Salehi Parsa P. , Wride Mitchel , Salehi Pauniz , Torabi Sina , Heiser Alyssa , Shah Hemali P. , Azizzadeh Babak , Judson Benjamin , Lee Yan Ho 
Published: August 2022

Objective: To evaluate the 2020 to 2021 Otolaryngology residency application cycle in the context of recent trends. Study Design: Retrospective data analysis. Setting: Disruptions caused by the COVID-19 pandemic may significantly alter trends among residency applicants, especially in highly competitive and/or smaller specialties. Methods: Applicant and residency statistics from Electronic Residency Application Service (ERAS) and National Residency Matching Program (NRMP) were extracted from the 2016 to 2021 and 2011 to 2021, respectively. Trends in Otolaryngology-Head and Neck Surgery (OHNS) were compared to peer specialties (PS) including Dermatology, Neurological Surgery, Orthopedic Surgery, and Integrated Pathway for Plastic and Reconstructive Surgery (PRS). The ratio of the number of applicants per positions (APP) was used to reflect the degree of competition. Results: Between 2011 and 2021, the number of OHNS programs and positions expanded less than those of PS and General Surgery. The increase in the APP ratio was significantly greater for OHNS compared to those Dermatology, Orthopedic Surgery, General Surgery and all PGY1 residency positions for both US MD and all applicants ( P < .01 for each). OHNS expansion of US MD ( P = .046), but not all applicants ( P = .169), outgrew that of Neurosurgery. Conclusion: The 2020 to 2021 cycle affected by the COVID-19 pandemic saw a continuation of the recent trend in the expanding OHNS applicant pool. OHNS remains one of the specialties with the highest APP ratio and has observed a significant growth compared to PS since 2018. Understanding and anticipating trends in residency application cycles is critical for designing processes to optimize the best fit between applicants and programs.
Are the Police Primarily Responsible for Influencing Place-Level Perceptions of Procedural Justice and Effectiveness? A Longitudinal Study of Street Segments
Authors: Weisburd David , Jonathan-Zamir Tal , White Clair , Wilson David B. , Kuen Kiseong 
Published: August 2022

While there has been significant study of the relationship between police legitimacy and its key antecedents - procedural justice (PJ) and police effectiveness (PE) at the individual level, little attention has been paid to what impacts general evaluations of PJ and PE. Our paper focuses on these perceptions at places. Our analyzes utilize survey data collected on 447 street segments in Baltimore City, MD, in two waves. We first used EFA to determine the latent structure of PJ and PE measures. We then used mixed effects OLS regression modeling techniques to examine the antecedents of a “scorecard” of perceptions of the police. The results of the EFA show a single latent structure that we term the scorecard for PJ and PE. While we find that experiences with the police and street conditions that the police are presumed to impact influence the scorecard, street conditions that are less likely to be influenced by police (collective efficacy and concentrated disadvantage) also have strong influence. Both the research and policy-oriented literature often view the police as primarily responsible for their public image. Our data suggest that at the place level, such perceptions are also strongly impacted by factors primarily outside police influence.
Primary School Teachers Misrecognizing Trans Identities? Religious, Cultural, and Decolonial Assemblages
Authors: Bhana Deevia 
Published: August 2022

Background: Teachers’ support for addressing cisgenderism and cisnormative cultures in schools is necessary to support students’ freedom to express gender in expansive ways and to embrace trans identities. However, few questions are asked about how primary school teachers grapple with trans identities in South Africa. Purpose: The article fills this gap by focusing on how school teachers negotiate their understandings of gender identity and gender expression by showing their capacities and potential in creating a trans-affirmative climate in primary school. Participants: Participants were 30 self-identified heterosexual primary school teachers of diverse race and class backgrounds who were located in one primary school in South Africa. Research Design: This qualitative study employed in-depth face-to-face and telephone-based semi-structured individual interviews. The article draws from new feminist materialist approaches to “assemblages” and decolonial thinking to consider how participants negotiated gender expectations. Findings: Trans identity is conflated with being gay and misrecognized through a reliance on historically produced religious and cultural norms that are part of the colonial and apartheid legacies in South Africa. While the trans assemblage shows potential to challenge and question the sex-gender conflation, historical legacies, suffused with cis-heteronormative logics, lead to a fundamental misrecognition and erasure of trans as a sign of being gay. Conclusions/Recommendations: The utility of a decolonial trans assemblage is evident in examining how epistemic erasure occurs through historical mechanisms, while denaturalizing the reliance on binary gendered systems and Western knowledge. If primary schools are to support gender-expansive ways of being, addressing how historical processes, cisgenderism, and cisnormative cultures permeate teachers’ understanding of gender remains vital work.
In vitro comparison of spatiotemporal fibrin clot formation dynamics in plasma treated with different protamine-heparin ratios
Authors: Wargowsky Richard , Zvara Jessica , Qaddumi Nidal , Gonzalez-Almada Alberto , Lin Dora , Fernandez Xiomara , Tanaka Kenichi , Mazzeffi Michael 
Published: August 2022

Introduction Our study aim was to explore how different protamine-heparin ratios impacted enzymatic coagulation and acellular fibrin clot growth in plasma using an in vitro model. We hypothesized that a low protamine-heparin ratio would be associated with superior fibrin clot growth dynamics. Methods We performed an in vitro study using 15 plasma samples from a commercial supplier. Different protamine-heparin ratios were added to each donor plasma sample: low ratio (0.7–1), traditional ratio (1–1), and high ratio (1.3–1) and clot formation dynamics were evaluated using a Thrombodynamics analyzer. Study outcomes were initial clot growth velocity and clot size at 30 min. Results Plasma samples treated with a one-to-one protamine-heparin ratio had significantly lower mean initial clot growth velocity compared to samples treated with a low protamine-heparin ratio; mean difference −2.3 μm/min (95% CI = −4.0 to −0.7, p = .004). Plasma samples treated with a one-to-one protamine-heparin ratio also had significantly smaller mean clot size at 30 min compared to samples treated with a low protamine-heparin ratio; mean difference −54.0 μm (95% CI = −107.6 to −0.4, p = .048). There were no significant differences in mean initial clot growth velocity or clot size at 30 min between plasma samples treated with a high protamine-heparin ratio and those treated with a one-to-one or low protamine-heparin ratio (all p > .05). Conclusions Plasma samples treated with a low protamine-heparin ratio had superior clot growth velocity and larger clot size at 30 min compared to a one-to-one ratio, supporting the notion that a low protamine-heparin ratio may optimize enzymatic coagulation after cardiopulmonary bypass.
Immediate postinterventional flat-panel CT: Differentiation of hemorrhagic transformation from contrast exudation of acute ischemic stroke patients after thrombectomy
Authors: Pan Xiao-Hu , Qiu Kai , Zhu Fa-Yong , Shi Hai-Bin , Liu Sheng 
Published: August 2022

Background Flat-panel computed tomography (CT) is an available imaging modality immediately after endovascular thrombectomy without transferring patients to the CT room. Purpose To determine the accuracy of flat-panel CT scans in differentiating hemorrhagic transformation (HT) from contrast exudation after thrombectomy in patients with acute ischemic stroke (AIS). Material and Methods From January 2019 to December 2021, consecutive patients with AIS who received an immediate flat-panel CT scan and follow-up neuroimaging after thrombectomy were enrolled in our study. The receiver operating characteristic curve was adopted to assess the discriminating accuracy of characteristics of flat-panel CT for HT. Results A total of 108 patients were enrolled in the study; 58 (53.7%) patients presented with hyperdense lesions on flat-panel CT. Patients with hyperdense lesions experienced a higher proportion of HT than patients without (58.7% vs. 10.0%; P < 0.001). Among all patients with hyperdensity on flat-panel CT, patients who experienced HT had higher average Hounsfield units (HUavg) (125 vs. 93; P = 0.001) and a higher proportion of mass effect (67.6 vs. 12.5; P < 0.001). The flat-panel CT differentiating HT from contrast exudation yielded a sensitivity of 87.2% and a negative predictive value of 90.0%. The area under the curve of HUavg, mass effect, and combination for differentiation of HT were 0.74, 0.78, and 0.83, respectively. Conclusion The hyperdensity on immediately post-thrombectomy flat-panel CT could differentiate HT from contrast exudation with an excellent negative predictive value. The ability of flat-panel CT in differentiating HT from contrast exudation was improved when combined with HUavg and mass effect.
Influence of obstructive sleep apnoea on coronary artery disease in a Chinese population
Authors: Liu Yufei , Wang Meitan , Shi Jinghui 
Published: August 2022

Objective This study aimed to investigate the correlation between obstructive sleep apnoea (OSA) and the severity of coronary artery disease (CAD) assessed by angiography. Methods This prospective study screened 273 patients diagnosed with CAD by coronary angiography. The severity of CAD was assessed by SYNTAX score. A total of 255 subjects were enrolled of whom 161 were diagnosed with OSA, with an apnoea–hypopnoea index ≥5/hour. Ninety-four CAD patients without OSA were used as controls. The relationship between OSA and CAD was analysed by multiple linear regression. Results The prevalence of OSA in CAD patients was 63.1%. The prevalences of single-vessel, two-vessel, and three-vessel disease were similar in the two groups. However, CAD was significantly more severe in patients with OSA, measured by SYNTAX score, than in those without OSA. OSA was independently associated with CAD after adjusting for traditional risk factors. Conclusions OSA is relatively common among patients with CAD in China. The independent association between OSA and CAD, even after adjusting for traditional confounders, suggests that OSA should be taken into account when considering the risk factors for CAD. The present findings highlight the important adverse influence of OSA on the severity of CAD.
Head rotation as an effective compensatory technique for dysphagia caused by unilateral cervical osteophytes
Authors: Seo Minsu , Park Jin-Woo 
Published: August 2022

Objective Dysphagia is common in patients with cervical osteophytes. We aimed to determine whether head rotation as a compensatory technique is effective for dysphagia caused by unilateral cervical osteophytes. Methods We retrospectively analyzed videofluoroscopic swallowing study (VFSS) data obtained in one university hospital. Patients whose VFSS showed pharyngeal stasis by mechanical obstruction due to cervical osteophytes were selected. They were divided into a unilateral skewed osteophyte group and a diffuse central osteophyte group as confirmed by laryngoscopy or computed tomography. The effect of head rotation on swallowing was investigated. Fisher’s exact test was used for statistical analysis. Results Among 2876 patients who underwent VFSSs, we identified 48 patients with osteophyte-induced dysphagia. The osteophytes were centrally located in 36 patients and unilateral in the remaining 12. Ten of the patients with unilateral osteophytes showed improvement when they swallowed with head rotation toward the osteophyte side, but none of the patients with central osteophytes showed effective swallowing. A statistically significant relationship was found between swallowing with head rotation and skewed cervical osteophytes. Conclusion Swallowing with head rotation was safe, easy, and effective for patients with dysphagia caused by unilateral cervical osteophytes. We advise attempting this method prior to considering surgical approaches.
Time from symptom onset to severe COVID-19 and risk factors among patients in Southern Ethiopia: a survival analysis
Authors: Sisay Gizaw , Mantefardo Bahru , Beyene Aster 
Published: August 2022

Objective This study aimed to assess the time to severe coronavirus disease 2019 (COVID-19) and risk factors among confirmed COVID-19 cases in Southern Ethiopia. Method This two-center retrospective cohort study involved patients with confirmed COVID-19 from 1 October 2020 to 30 September 2021. Kaplan–Meier graphs and log-rank tests were used to determine the pattern of COVID-19 severity among categories of variables. Bivariable and multivariable Cox proportional regression models were used to identify the risk factors of severe COVID-19. Results Four hundred thirteen patients with COVID-19 with a mean age of 41.9 ± 15.3 years were involved in the study. There were 194 severe cases (46.9.1%), including 77 (39.6%) deaths. The median time from symptom onset to severe COVID-19 was 8 days (interquartile range: 7–12 days). The risk factors for severe COVID-19 were age >65 (adjusted hazard ratio [AHR] = 2.65, 95% confidence interval [95%CI]: 1.02, 3.72), cough (AHR = 1.59, 95%CI: 1.39, 2.84), chest pain (AHR = 1.47, 95%CI: 1.34, 2.66), headache (AHR = 2.04, 95%CI: 1.43, 2.88), comorbidity (AHR = 1.3, 95%CI: 1.01, 2.04), asthma (AHR = 1.6. 95%CI: 1.04, 2.24), and symptom onset to admission more than 5 days (AHR = 0.48, 95%CI: 0.34, 0.68). Conclusion Patients with symptoms and comorbidities should be closely monitored.