bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations between high ambient temperatures and asthma exacerbation among children in Philadelphia, PA: a time series analysis
Authors: Schinasi Leah H , Kenyon Chen C , Hubbard Rebecca A , Zhao Yuzhe , Maltenfort Mitchell , Melly Steven J , Moore Kari , Forrest Christopher B , Diez Roux Ana V , de Roos Anneclaire J 
Published: March 2022

ObjectivesHigh ambient temperatures may contribute to acute asthma exacerbation, a leading cause of morbidity in children. We quantified associations between hot-season ambient temperatures and asthma exacerbation in children ages 0–18 years in Philadelphia, PA.MethodsWe created a time series of daily counts of clinical encounters for asthma exacerbation at the Children’s Hospital of Philadelphia linked with daily meteorological data, June–August of 2011–2016. We estimated associations between mean daily temperature (up to a 5-day lag) and asthma exacerbation using generalised quasi-Poisson distributed models, adjusted for seasonal and long-term trends, day of the week, mean relative humidity,and US holiday. In secondary analyses, we ran models with adjustment for aeroallergens, air pollutants and respiratory virus counts. We quantified overall associations, and estimates stratified by encounter location (outpatient, emergency department, inpatient), sociodemographics and comorbidities.ResultsThe analysis included 7637 asthma exacerbation events. High mean daily temperatures that occurred 5 days before the index date were associated with higher rates of exacerbation (rate ratio (RR) comparing 33°C–13.1°C days: 1.37, 95% CI 1.04 to 1.82). Associations were most substantial for children ages 2 to <5 years and for Hispanic and non-Hispanic black children. Adjustment for air pollutants, aeroallergens and respiratory virus counts did not substantially change RR estimates.ConclusionsThis research contributes to evidence that ambient heat is associated with higher rates of asthma exacerbation in children. Further work is needed to explore the mechanisms underlying these associations.
Risk factors for placental human papillomavirus infection
Authors: Niyibizi Joseph , Mayrand Marie-Hélène , Audibert Francois , Monnier Patricia , Brassard Paul , Laporte Louise , Lacaille Julie , Zahreddine Monica , Bédard Marie-Josée , Girard Isabelle , Francoeur Diane , Carceller Ana Maria , Lacroix Jacques , Fraser William , Coutlée François , Trottier Helen 
Published: March 2022

ObjectiveHuman papillomavirus (HPV) has been associated with adverse pregnancy outcomes but placental HPV infection has been rarely studied. The objective was to determine the proportion of HPV-positive placentas and the associated risk factors among HPV-positive women during pregnancy.MethodsWe analysed data from pregnant women enrolled in HERITAGE cohort study between 2010 and 2016 with positive vaginal HPV infection during the first trimester of pregnancy (n=354). Placental swabs and biopsies were collected. HPV genotyping was performed using Linear Array. The predictors of placental HPV detection were identified by generalised estimating equations models.ResultsHPV was detected in 78 placentas (22.0%) (one among 96 caesarean sections and 77 among 258 vaginal deliveries). Overall, 91% of HPV-positive placentas were positive for a genotype that was detected in vaginal samples during pregnancy. Among women who delivered vaginally, abnormal cytology (adjusted OR (aOR) 1.78 (95% CI 1.02 to 3.10)), other genitourinary infection (aOR 2.41 (95% CI 1.31 to 4.44)), presence of multiple HPV genotypes in the first trimester (aOR 2.69 (95% CI 1.76 to 4.12)) and persistence of high-risk HPV infections during pregnancy (HPV-16/18: aOR 3.94 (95% CI 2.06 to 7.55) and other than HPV-16/18: aOR 2.06 (95% CI 1.05 to 4.02)) were independently associated with placental HPV.ConclusionsHPV was frequently detected in the placenta of women who delivered vaginally and may be associated with host immune response characteristics.
Comparative digestibility of energy, dry matter, and nutrients by gestating and lactating sows fed corn–soybean meal diets without or with full-fat or defatted rice bran
Authors: Casas Gloria A. , Oliveira Maryane S.F. , Espinosa Charmaine D. , Stein H.H. 
Published: March 2022

Twenty-four gestating sows and 24 lactating sows were randomly allotted to three diets with eight replicate sows per treatment in a 3 × 2 factorial arrangement. Different sows were used in gestation and lactation periods. The hypothesis was that digestibility of gross energy (GE), dry matter (DM), and nutrients in lactating sows is not different from that in gestating sows. A corn–soybean-meal diet and two full-fat-rice-bran or defatted rice bran diets were used. Results indicated that regardless of diet, lactating sows had greater (P < 0.01) apparent total tract digestibility of GE, DM, neutral detergent fiber, organic matter, and phosphorus than gestating sows.
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Authors: Watson Cody , Cooper Nathan , Palacio David Nader , Moran Kevin , Poshyvanyk Denys 
Published: March 2022

An increasingly popular set of techniques adopted by software engineering (SE) researchers to automate development tasks are those rooted in the concept of Deep Learning (DL). The popularity of such techniques largely stems from their automated feature engineering capabilities, which aid in modeling software artifacts. However, due to the rapid pace at which DL techniques have been adopted, it is difficult to distill the current successes, failures, and opportunities of the current research landscape. In an effort to bring clarity to this cross-cutting area of work, from its modern inception to the present, this article presents a systematic literature review of research at the intersection of SE & DL. The review canvasses work appearing in the most prominent SE and DL conferences and journals and spans 128 papers across 23 unique SE tasks. We center our analysis around the
components of learning
, a set of principles that governs the application of machine learning techniques (ML) to a given problem domain, discussing several aspects of the surveyed work at a granular level. The end result of our analysis is a
research roadmap
that both delineates the foundations of DL techniques applied to SE research and highlights likely areas of fertile exploration for the future.
Enhanced 3D Shape Reconstruction With Knowledge Graph of Category Concept
Authors: Sun Guofei , Wong Yongkang , Kankanhalli Mohan S. , Li Xiangdong , Geng Weidong 
Published: March 2022

Reconstructing three-dimensional (3D) objects from images has attracted increasing attention due to its wide applications in computer vision and robotic tasks. Despite the promising progress of recent deep learning–based approaches, which directly reconstruct the full 3D shape without considering the conceptual knowledge of the object categories, existing models have limited usage and usually create unrealistic shapes. 3D objects have multiple forms of representation, such as 3D volume, conceptual knowledge, and so on. In this work, we show that the conceptual knowledge for a category of objects, which represents objects as prototype volumes and is structured by graph, can enhance the 3D reconstruction pipeline. We propose a novel multimodal framework that explicitly combines graph-based conceptual knowledge with deep neural networks for 3D shape reconstruction from a single RGB image. Our approach represents conceptual knowledge of a specific category as a structure-based knowledge graph. Specifically, conceptual knowledge acts as visual priors and spatial relationships to assist the 3D reconstruction framework to create realistic 3D shapes with enhanced details. Our 3D reconstruction framework takes an image as input. It first predicts the conceptual knowledge of the object in the image, then generates a 3D object based on the input image and the predicted conceptual knowledge. The generated 3D object satisfies the following requirements: (1) it is consistent with the predicted graph in concept, and (2) consistent with the input image in geometry. Extensive experiments on public datasets (i.e., ShapeNet, Pix3D, and Pascal3D+) with 13 object categories show that (1) our method outperforms the state-of-the-art methods, (2) our prototype volume-based conceptual knowledge representation is more effective, and (3) our pipeline-agnostic approach can enhance the reconstruction quality of various 3D shape reconstruction pipelines.
FasterPose: A Faster Simple Baseline for Human Pose Estimation
Authors: Dai Hanbin , Shi Hailin , Liu Wu , Wang Linfang , Liu Yinglu , Mei Tao 
Published: March 2022

The performance of human pose estimation depends on the spatial accuracy of keypoint localization. Most existing methods pursue the spatial accuracy through learning the high-resolution (HR) representation from input images. By the experimental analysis, we find that the HR representation leads to a sharp increase of computational cost, while the accuracy improvement remains marginal compared with the low-resolution (LR) representation. In this article, we propose a design paradigm for cost-effective network with LR representation for efficient pose estimation, named FasterPose. Whereas the LR design largely shrinks the model complexity, how to effectively train the network with respect to the spatial accuracy is a concomitant challenge. We study the training behavior of FasterPose and formulate a novel regressive cross-entropy (RCE) loss function for accelerating the convergence and promoting the accuracy. The RCE loss generalizes the ordinary cross-entropy loss from the binary supervision to a continuous range, thus the training of pose estimation network is able to benefit from the sigmoid function. By doing so, the output heatmap can be inferred from the LR features without loss of spatial accuracy, while the computational cost and model size has been significantly reduced. Compared with the previously dominant network of pose estimation, our method reduces 58% of the FLOPs and simultaneously gains 1.3% improvement of accuracy. Extensive experiments show that FasterPose yields promising results on the common benchmarks, i.e., COCO and MPII, consistently validating the effectiveness and efficiency for practical utilization, especially the low-latency and low-energy-budget applications in the non-GPU scenarios.
A Provably Robust Algorithm for Triangle-triangle Intersections in Floating-point Arithmetic
Authors: Mccoid Conor , Gander Martin J. 
Published: March 2022

Motivated by the unexpected failure of the triangle intersection component of the Projection Algorithm for Nonmatching Grids (PANG), this article provides a robust version with proof of backward stability. The new triangle intersection algorithm ensures consistency and parsimony across three types of calculations. The set of intersections produced by the algorithm, called representations, is shown to match the set of geometric intersections, called models. The article concludes with a comparison between the old and new intersection algorithms for PANG using an example found to reliably generate failures in the former.
Validating an Idiopathic Dilated Cardiomyopathy Diagnosis Using Cardiovascular Magnetic Resonance: The Dilated Cardiomyopathy Precision Medicine Study
Authors: Haas Garrie J. , Zareba Karolina M. , Ni Hanyu , Bello-Pardo Erika , Huggins Gordon S. , Hershberger Ray E. , Hershberger Ray E. , Kinnamon Daniel D. , Jordan Elizabeth , Haas Garrie J. , Huggins Gordon S. , Fishbein Daniel P. , Gottlieb Stephen S. , Wheeler Matthew T. , Hofmeyer Mark , Tang W.H. Wilson , Owens Anjali T. , Moore Charles K. , Jimenez Javier , Trachtenberg Barry H. , Sweitzer Nancy K. , Shah Palak , Lowes Brian D. , Stoller Douglas , Smart Frank , Morris Alanna A. , Wilcox Jane E. , Katz Stuart , Pan Stephen , Ewald Gregory A. , Aaronson Keith D. , Wang Jessica J. , Pamboukian Salpy , Judge Daniel P. , Kransdorf Evan P. , Garg Sonia , Desvigne-Nickens Patrice , Troendle James , Fu Yi-Ping , Hindorff Lucia 
Published: March 2022

Background:
Coronary angiography to identify coronary artery disease has been foundational to distinguish the cause of dilated cardiomyopathy (DCM), including the assignment of idiopathic or ischemic cardiomyopathy. Late gadolinium enhancement (LGE) with cardiovascular magnetic resonance (CMR) has emerged as an approach to identify myocardial scar and identify etiology.

Methods:
The DCM Precision Medicine Study included patients with left ventricular dilation and dysfunction attributed to idiopathic DCM, after expert clinical review excluded ischemic or other cardiomyopathies. Ischemic cardiomyopathy was defined as coronary artery disease with >50% narrowing at angiography of ≥1 epicardial coronary artery. CMR was not required for study inclusion, but in a post hoc analysis of available CMR reports, patterns of LGE were classified as (1) no LGE, (2) ischemic-pattern LGE: subendocardial/transmural, (3) nonischemic LGE: midmyocardial/epicardial.

Results:
Of 1204 idiopathic DCM patients evaluated, 396 (32.9%) had a prior CMR study; of these, 327 (82.6% of 396) had LGE imaging (mean age 46 years; 53.2% male; 55.4% White); 178 of the 327 (54.4%) exhibited LGE, and 156 of the 178 had LGE consistent with idiopathic DCM. The remaining 22 had transmural or subendocardial LGE. Of these 22, coronary angiography was normal (13), showed luminal irregularities (3), a distant thrombus (1), coronary artery disease with <50% coronary artery narrowing (1), or was not available (4).

Conclusions:
Of 327 probands enrolled in the DCM Precision Medicine Study cohort who had LGE-CMR data available, an ischemic-pattern of LGE was identified in 22 (6.7%), all of whom had idiopathic DCM as adjudicated by expert clinical review.

Registration:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT03037632.
AIM‐AF: A Physician Survey in the United States and Europe
Authors: Camm A. John , Blomström‐Lundqvist Carina , Boriani Giuseppe , Goette Andreas , Kowey Peter R. , Merino Jose L. , Piccini Jonathan P. , Saksena Sanjeev , Reiffel James A. 
Published: March 2022

Background
Guideline recommendations are the accepted reference for selection of therapies for rhythm control of atrial fibrillation (AF). This study was designed to understand physicians’ treatment practices and adherence to guidelines.

Methods and Results
The AIM‐AF (Antiarrhythmic Medication for Atrial Fibrillation) study was an online survey of clinical cardiologists and electrophysiologists that was conducted in the United States and Europe (N=629). Respondents actively treated ≥30 patients with AF who received drug therapy, and had received or were referred for ablation every 3 months. The survey comprised 96 questions on physician demographics, AF types, and treatment practices. Overall, 54% of respondents considered guidelines to be the most important nonpatient factor influencing treatment choice. Across most queried comorbidities, amiodarone was selected by 60% to 80% of respondents. Other nonadherent usage included sotalol by 21% in patients with renal impairment; dofetilide initiation (16%, United States only) outside of hospital; class Ic agents by 6% in coronary artery disease; and dronedarone by 8% in patients with heart failure with reduced ejection fraction. Additionally, rhythm control strategies were frequently chosen in asymptomatic AF (antiarrhythmic drugs [AADs], 35%; ablation, 8%) and subclinical AF (AADs, 38%; ablation, 13%). Despite guideline algorithms emphasizing safety first, efficacy (48%) was selected as the most important consideration for AAD choice, followed by safety (34%).

Conclusions
Despite surveyed clinicians recognizing the importance of guidelines, nonadherence was frequently observed. While deviation may be reasonable in selected patients, in general, nonadherence has the potential to compromise patient safety. These findings highlight an underappreciation of the safe use of AADs, emphasizing the need for interventions to support optimal AAD selection.
Effect of Time to Treatment With Antiarrhythmic Drugs on Return of Spontaneous Circulation in Shock‐Refractory Out‐of‐Hospital Cardiac Arrest
Authors: Rahimi Mahbod , Dorian Paul , Cheskes Sheldon , Lebovic Gerald , Lin Steve 
Published: March 2022

Background
The effects of amiodarone and lidocaine on the return of spontaneous circulation (ROSC) in relation to time to treatment in patients with out‐of‐hospital cardiac arrest is not known. We conducted a post hoc analysis of the ROC ALPS (Resuscitation Outcomes Consortium Amiodarone, Lidocaine, Placebo) randomized controlled trial examining the association of time to treatment (drug or placebo) with ROSC at hospital arrival.

Methods and Results
In the trial, adults with nontraumatic out‐of‐hospital cardiac arrest with initial refractory ventricular fibrillation or pulseless ventricular tachycardia after at least 1 defibrillation were randomly assigned to receive amiodarone, lidocaine, or placebo. We used logistic regression to examine the association of time to treatment (911 call to study drug administration) with ROSC. An interaction term between treatment and time to treatment was included to determine the potential effect of time on treatment effects. Overall, 1112 (36.7%) patients had ROSC at hospital arrival (350 in the amiodarone arm, 396 in the lidocaine arm, and 366 in the placebo arm). The proportion of patients who had ROSC decreased as time to drug administration increased, in patients treated with amiodarone (odds ratio, 0.92; 95% CI, 0.90–0.94 per minute increase), lidocaine (odds ratio, 0.95; 95% CI, 0.93–0.96), and placebo (odds ratio, 0.95; 95% CI, 0.93–0.96). With shorter times to drug administration, the proportion with ROSC was higher in amiodarone versus placebo recipients.

Conclusions
The probability of ROSC decreased as time to drug administration increased. The effect of amiodarone but not lidocaine to restore ROSC declined with longer times to drug administration, potentially attributable to its adverse hemodynamic effects.
Vascular Response to Spreading Depolarization Predicts Stroke Outcome
Authors: Binder Nadine Felizitas , Glück Chaim , Middleham William , Alasoadura Michael , Pranculeviciute Nikolete , Wyss Matthias Tasso , Chuquet Julien , Weber Bruno , Wegener Susanne , El Amki Mohamad 
Published: March 2022

Background:
Cortical spreading depolarization (CSD) is a massive neuro-glial depolarization wave, which propagates across the cerebral cortex. In stroke, CSD is a necessary and ubiquitous mechanism for the development of neuronal lesions that initiates in the ischemic core and propagates through the penumbra extending the tissue injury. Although CSD propagation induces dramatic changes in cerebral blood flow, the vascular responses in different ischemic regions and their consequences on reperfusion and recovery remain to be defined.

Methods:
Ischemia was performed using the thrombin model of stroke and reperfusion was induced by r-tPA (recombinant tissue-type plasminogen activator) administration in mice. We used in vivo electrophysiology and laser speckle contrast imaging simultaneously to assess both electrophysiological and hemodynamic characteristics of CSD after ischemia onset. Neurological deficits were assessed on day 1, 3, and 7. Furthermore, infarct sizes were quantified using 2,3,5-triphenyltetrazolium chloride on day 7.

Results:
After ischemia, CSDs were evidenced by the characteristic propagating DC shift extending far beyond the ischemic area. On the vascular level, we observed 2 types of responses: some mice showed spreading hyperemia confined to the penumbra area (penumbral spreading hyperemia) while other showed spreading hyperemia propagating in the full hemisphere (full hemisphere spreading hyperemia). Penumbral spreading hyperemia was associated with severe stroke-induced damage, while full hemisphere spreading hyperemia indicated beneficial infarct outcome and potential viability of the infarct core. In all animals, thrombolysis with r-tPA modified the shape of the vascular response to CSD and reduced lesion volume.

Conclusions:
Our results show that different types of spreading hyperemia occur spontaneously after the onset of ischemia. Depending on their shape and distribution, they predict severity of injury and outcome. Furthermore, our data show that modulating the hemodynamic response to CSD may be a promising therapeutic strategy to attenuate stroke outcome.
The Meaning of Psalm 73:24b: Revisiting an Old Crux from the Perspective of Verbal Valency
Authors: Smith Stephen 
Published: March 2022

Abstract
Due to its apparently ambiguous semantics and syntax, Ps 73:24b remains an unresolved crux in Psalms studies. This article brings valency theory to bear upon this cryptic clause. Attention to the valency patterns occurring with the clause’s verb (לקח) presents a contextually compelling solution to its grammatical and semantic difficulties, suggesting that the language of Ps 73:24b may not be ambiguous after all.
Justice, Righteousness, and the Davidic Dispute in Jeremiah and Ezekiel
Authors: Liebermann Rosanne 
Published: March 2022

Abstract
The books of Jeremiah and Ezekiel both use the phrase עשׂה מִשְׁפָט וּצְדָקָה (“doing justice and righteousness”) to discuss the responsibilities of the Davidic king and the future of Judah in light of the disruptive events of the early sixth century BCE. The tradition of linking the terms מִשְׁפָט and צְדָקָה with kingship is widespread in the Hebrew Bible and has strong ancient Near Eastern parallels. Yet the books of Jeremiah and Ezekiel employ the two words as part of an idiomatic phrase, reflecting their divergent interpretations of the role and identity of the future Davidic king and, relatedly, what עשׂה מִשְׁפָט וּצְדָקָה entails. While the two books’ disagreements can be explained to some extent by their different settings (Judah and Egypt versus Babylonia), their distinct preferences for one Davidic line over another are suggestive of opposing political allegiances that may have contributed to neither book acknowledging the other’s existence.
Objects of Catholic Conversion in Colonial Buganda: A Study of the Miraculous Medal
Authors: Bennett Alison 
Published: March 2022

Abstract
Adorned with an image of the Blessed Virgin Mary and other Christian emblems and text, the miraculous medal has been an important object of Catholic intercessory prayer since the mid-nineteenth century. The religious and social history of the medal in Europe is relatively well known. However, few scholars have connected the medal’s emergence with the spread of the European mission in the wake of nineteenth-century colonial expansion. This article uses the medal to shed new light on the material, corporeal, and gendered aspects of the Catholic Christianization of present-day Buganda, where it fulfilled a variety of functions for missionaries and Baganda alike. For missionaries it served as a key item for proselytizing and propaganda. For some Baganda, meanwhile, it played pivotal roles in a newly emerging form of local religious identity politics. Object analysis of an extant version from Buganda also reveals the medal’s material diversity and offers important insight into local agency in the reception and reshaping of Catholic objects. Thus when viewed in non-European contexts, miraculous medals were far more dynamic and multifaceted than has previously been understood.