bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Validation of Claims-Based Definitions to Identify Incident and Prevalent Inflammatory Bowel Disease in Administrative Healthcare Databases
Authors: Dawwas Ghadeer K , Weiss Alexandra , Constant Brad D , Parlett Lauren E , Haynes Kevin , Yang Jeff Yufeng , Brensinger Colleen , Wu Qufei , Pate Virginia , Jonsson Funk Michele , Schaubel Douglas E , Hurtado-Lorenzo Andres , David Kappelman Michael , Lewis James D 
Published: April 2023

Abstract

Background
To facilitate inflammatory bowel disease (IBD) research in the United States, we developed and validated claims-based definitions to identify incident and prevalent IBD diagnoses using administrative healthcare claims data among multiple payers.

Methods
We used data from Medicare, Medicaid, and the HealthCore Integrated Research Database (Anthem commercial and Medicare Advantage claims). The gold standard for validation was review of medical records. We evaluated 1 incidence and 4 prevalence algorithms based on a combination of International Classification of Diseases codes, National Drug Codes, and Current Procedural Terminology codes. The claims-based incident diagnosis date needed to be within ±90 days of that recorded in the medical record to be valid.

Results
We reviewed 111 charts of patients with a potentially incident diagnosis. The positive predictive value (PPV) of the claims algorithm was 91% (95% confidence interval [CI], 81%-97%). We reviewed 332 charts to validate prevalent case definition algorithms. The PPV was 94% (95% CI, 86%-98%) for ≥2 IBD diagnoses and presence of prescriptions for IBD medications, 92% (95% CI, 85%-97%) for ≥2 diagnoses without any medications, 78% (95% CI, 67%-87%) for a single diagnosis and presence of an IBD medication, and 35% (95% CI, 25%-46%) for 1 physician diagnosis and no IBD medications.

Conclusions
Through a combination of diagnosis, procedural, and medication codes in insurance claims data, we were able to identify incident and prevalent IBD cases with high accuracy. These algorithms can be useful for the ascertainment of IBD cases in future studies.
Size-fractioned zooplankton biomass in the Barents Sea ecosystem: changes during four decades of warming and four capelin collapses (1980–2020)
Authors: Skjoldal H R 
Published: April 2023

Abstract
Zooplankton in the Barents Sea has been monitored by the Institute of Marine Research in Norway on autumn cruises since 1986, using a standardized procedure with determination of dry weight biomass in three size fractions following splitting of the sample in two halves. Along with summer data for the early 1980s, we can now describe changes of zooplankton biomass over four decades. The biomass of the central Barents Sea has fluctuated inversely with collapses and recoveries of the Barents Sea capelin stock, which is a major planktivore. Zooplankton biomass in the central Barents Sea was low in 1983 and 1984, driven by low abundance of Calanus finmarchicus, followed by a pronounced peak in 1987 associated with a “first” collapse of the capelin stock. Biomass showed another pronounced peak in 1994, driven by the small size fraction and interpreted to reflect an advective signal from the adjacent Norwegian Sea. In the two most recent decades, there have been divergent trends, with a relatively high biomass in the inflowing Atlantic water, reflecting a second summer generation of C. finmarchicus, and decreased biomass in the central area, reflecting a lower abundance of Calanus glacialis driven by a combined effect of capelin predation and climate.
Building Integrated Testing Programs for Infectious Diseases
Authors: Alemnji George , Mosha Fausta , Maggiore Paolo , Alexander Heather , Ndlovu Nqobile , Kebede Yenew , Tiam Appolinaire , Albert Heidi , Edgil Dianna , de Lussigny Smiljka , Peter Trevor 
Published: April 2023

Abstract
In the past 2 decades, testing services for diseases such as human immunodeficiency virus (HIV), tuberculosis, and malaria have expanded dramatically. Investments in testing capacity and supportive health systems have often been disease specific, resulting in siloed testing programs with suboptimal capacity, reduced efficiency, and limited ability to introduce additional tests or respond to new outbreaks. Emergency demand for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing overcame these silos and demonstrated the feasibility of integrated testing. Moving forward, an integrated public laboratory infrastructure that services multiple diseases, including SARS-CoV-2, influenza, HIV, tuberculosis, hepatitis, malaria, sexually transmitted diseases, and other infections, will help improve universal healthcare delivery and pandemic preparedness. However, integrated testing faces many barriers including poorly aligned health systems, funding, and policies. Strategies to overcome these include greater implementation of policies that support multidisease testing and treatment systems, diagnostic network optimization, bundled test procurement, and more rapid spread of innovation and best practices across disease programs.
From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction
Authors: Burkhardt Hannah A , Ding Xiruo , Kerbrat Amanda , Comtois Katherine Anne , Cohen Trevor 
Published: April 2023

Abstract

Objective
Compared to natural language processing research investigating suicide risk prediction with social media (SM) data, research utilizing data from clinical settings are scarce. However, the utility of models trained on SM data in text from clinical settings remains unclear. In addition, commonly used performance metrics do not directly translate to operational value in a real-world deployment. The objectives of this study were to evaluate the utility of SM-derived training data for suicide risk prediction in a clinical setting and to develop a metric of the clinical utility of automated triage of patient messages for suicide risk.

Materials and Methods
Using clinical data, we developed a Bidirectional Encoder Representations from Transformers-based suicide risk detection model to identify messages indicating potential suicide risk. We used both annotated and unlabeled suicide-related SM posts for multi-stage transfer learning, leveraging customized contemporary learning rate schedules. We also developed a novel metric estimating predictive models’ potential to reduce follow-up delays with patients in distress and used it to assess model utility.

Results
Multi-stage transfer learning from SM data outperformed baseline approaches by traditional classification performance metrics, improving performance from 0.734 to a best F1 score of 0.797. Using this approach for automated triage could reduce response times by 15 minutes per urgent message.

Discussion
Despite differences in data characteristics and distribution, publicly available SM data benefit clinical suicide risk prediction when used in conjunction with contemporary transfer learning techniques. Estimates of time saved due to automated triage indicate the potential for the practical impact of such models when deployed as part of established suicide prevention interventions.

Conclusions
This work demonstrates a pathway for leveraging publicly available SM data toward improving risk assessment, paving the way for better clinical care and improved clinical outcomes.
Broadcast information diffusion processes on social media networks: exogenous events lead to more integrated public discourse
Authors: Gong Xuanjun , Huskey Richard , Xue Haoning , Shen Cuihua , Frey Seth 
Published: April 2023

Abstract
Understanding information diffusion is vital to explaining the good, bad, and ugly impacts of social media. Two types of processes govern information diffusion: broadcasting and viral spread. Viral spreading is when a message is diffused by peer-to-peer social connections, whereas broadcasting is characterized by influences that can come from outside of the peer-to-peer social network. How these processes shape public discourse is not well understood. Using a simulation study and real-world Twitter data (10,155 users, 18,000,929 tweets) gathered during 2020, we show that broadcast spreading is associated with more integrated discourse networks compared to viral spreading. Moreover, discourse oscillates between extended periods of segregation and punctuated periods of integration. These results defy simple interpretations of good or bad, and instead suggest that information diffusion dynamics on social media have the capacity to disrupt or amplify both prosocial and antisocial content.
The first large catalogue of spectroscopic redshifts in Webb’s first deep field, SMACS J0723.3−7327
Authors: Noirot Gaël , Desprez Guillaume , Asada Yoshihisa , Sawicki Marcin , Estrada-Carpenter Vicente , Martis Nicholas , Sarrouh Ghassan , Strait Victoria , Abraham Roberto , Bradač Maruša , Brammer Gabriel , Iyer Kartheik , MacFarland Shannon , Matharu Jasleen , Mowla Lamiya , Muzzin Adam , Pacifici Camilla , Ravindranath Swara , Willott Chris J , Albert Loïc , Doyon René , Hutchings John B , Rowlands Neil 
Published: April 2023

ABSTRACT
We present a spectroscopic redshift catalogue of the SMACS J0723.3−7327 field (‘Webb’s First Deep Field’) obtained from JWST/NIRISS grism spectroscopy and supplemented with JWST/NIRSpec and VLT/MUSE redshifts. The catalogue contains a total of 190 sources with secure spectroscopic redshifts, including 156 NIRISS grism redshifts, 123 of which are for sources whose redshifts were previously unknown. These new grism redshifts are secured with two or more spectroscopic features (64 sources), or with a single spectral feature whose identity is secured from the object’s nine-band photometric redshift (59 sources). These are complemented with 17 NIRSpec and 48 MUSE redshifts, including six new NIRSpec redshifts identified in this work. In addition to the zcl = 0.39 cluster galaxy redshifts (for which we provide ∼40 new NIRISS absorption-line redshifts), we also find three prominent galaxy overdensities at higher redshifts – at z = 1.1, z = 1.4, and z = 2.0 – that were until now not seen in the JWST/NIRSpec and VLT/MUSE data. The paper describes the characteristics of our spectroscopic redshift sample and the methodology we have employed to obtain it. Our redshift catalogue is made available to the community at https://niriss.github.io/smacs0723.
The luminosity functions of kilonovae from binary neutron star mergers under different equation of states
Authors: Zhao Chunyang , Lu Youjun , Chu Qingbo , Zhao Wen 
Published: April 2023

ABSTRACTKilonovae produced by mergers of binary neutron stars (BNSs) are important transient events to be detected by time domain surveys with the alerts from the ground-based gravitational wave detectors. The observational properties of these kilonovae depend on the physical processes involved in the merging processes and the equation of state (EOS) of neutron stars (NSs). In this paper, we investigate the dependence of kilonova luminosities on the parameters of BNS mergers, and estimate the distribution functions of kilonova peak luminosities (KLFs) at the u, g, r, i, y, and z bands as well as its dependence on the NS EOS, by adopting a comprehensive semi-analytical model for kilonovae (calibrated by the observations of GW170817), a population synthesis model for the cosmic BNSs, and the ejecta properties of BNS mergers predicted by numerical simulations. We find that the kilonova light curves depend on both the BNS properties and the NS EOS, and the KLFs at the considered bands are bimodal with the bright components mostly contributed by BNS mergers with total mass $\lesssim 3.2\, \mathrm{M}_\odot$/$2.8\, \mathrm{M}_\odot$ and fainter components mostly contributed by BNS mergers with total mass $\gtrsim 3.2\, \mathrm{M}_\odot$/$2.8\, \mathrm{M}_\odot$ by assuming a stiff/soft (DD2/SLy) EOS. The emission of the kilonovae in the KLF bright components is mostly due to the radiation from the wind ejecta by the remnant discs of BNS mergers, while the emission of the kilonovae in the KLF faint components is mostly due to the radiation from the dynamical ejecta by the BNS mergers.
Quasar UV/X-ray relation luminosity distances are shorter than reverberation-measured radius–luminosity relation luminosity distances
Authors: Khadka Narayan , Zajaček Michal , Prince Raj , Panda Swayamtrupta , Czerny Bożena , Martínez-Aldama Mary Loli , Jaiswal Vikram Kumar , Ratra Bharat 
Published: April 2023

ABSTRACT
We use measurements of 59/58 quasars (QSOs), over a redshift range 0.0041 ≤ z ≤ 1.686, to do a comparative study of the radius–luminosity (R − L) and X-ray−UV luminosity (LX − LUV) relations and the implication of these relations for cosmological parameter estimation. By simultaneously determining R − L or LX − LUV relation parameters and cosmological parameters in six different cosmological models, we find that both R − L and LX − LUV relations are standardizable but provide only weak cosmological parameter constraints, with LX − LUV relation data favouring larger current non-relativistic matter density parameter Ωm0 values than R − L relation data and most other available data. We derive LX − LUV and R − L luminosity distances for each of the sources in the six cosmological models and find that LX − LUV relation luminosity distances are shorter than R − L relation luminosity distances as well as standard flat ΛCDM model luminosity distances. This explains why LX − LUV relation QSO data favour larger Ωm0 values than do R − L relation QSO data or most other cosmological measurements. While our sample size is small and only spans a small z range, these results indicate that more work is needed to determine whether the LX − LUV relation can be used as a cosmological probe.
High-order discontinuous Galerkin hydrodynamics with sub-cell shock capturing on GPUs
Authors: Cernetic Miha , Springel Volker , Guillet Thomas , Pakmor Rüdiger 
Published: April 2023

ABSTRACTHydrodynamical numerical methods that converge with high-order hold particular promise for astrophysical studies, as they can in principle reach prescribed accuracy goals with higher computational efficiency than standard second- or third-order approaches. Here we consider the performance and accuracy benefits of Discontinuous Galerkin (DG) methods, which offer a particularly straightforward approach to reach extremely high order. Also, their computational stencil maps well to modern GPU devices, further raising the attractiveness of this approach. However, a traditional weakness of this method lies in the treatment of physical discontinuities such as shocks. We address this by invoking an artificial viscosity field to supply required dissipation where needed, and which can be augmented, if desired, with physical viscosity and thermal conductivity, yielding a high-order treatment of the Navier–Stokes equations for compressible fluids. We show that our approach results in sub-cell shock capturing ability, unlike traditional limiting schemes that tend to defeat the benefits of going to high order in DG in problems featuring many shocks. We demonstrate exponential convergence of our solver as a function of order when applied to smooth flows, such as the Kelvin–Helmholtz reference problem of Lecoanet et al. We also demonstrate excellent scalability of our GPU implementation up to hundreds of GPUs distributed on different compute nodes. In a first application to driven, subsonic turbulence, we highlight the accuracy advantages of high-order DG compared to traditional second-order accurate methods, and we stress the importance of physical viscosity for obtaining accurate velocity power spectra.
Searching for ejected supernova companions in the era of precise proper motion and radial velocity measurements
Authors: Chrimes A A , Levan A J , Eldridge J J , Fraser M , Gaspari N , Groot P J , Lyman J D , Nelemans G , Stanway E R , Wiersema K 
Published: April 2023

ABSTRACT
The majority of massive stars are born in binaries, and most unbind upon the first supernova. With precise proper motion surveys such as Gaia, it is possible to trace back the motion of stars in the vicinity of young remnants to search for ejected companions. Establishing the fraction of remnants with an ejected companion, and the photometric and kinematic properties of these stars, offers unique insight into supernova progenitor systems. In this paper, we employ binary population synthesis to produce kinematic and photometric predictions for ejected secondary stars. We demonstrate that the unbound neutron star velocity distribution from supernovae in binaries closely traces the input kicks. Therefore, the observed distribution of neutron star velocities should be representative of their natal kicks. We evaluate the probability for any given filter, magnitude limit, minimum measurable proper motion (as a function of magnitude), temporal baseline, distance, and extinction that an unbound companion can be associated with a remnant. We compare our predictions with results from previous companion searches, and demonstrate that the current sample of stars ejected by the supernova of their companion can be increased by a factor of ∼5–10 with Gaia data release 3. Further progress in this area is achievable by leveraging the absolute astrometric precision of Gaia, and by obtaining multiple epochs of deep, high resolution near-infrared imaging with the Hubble Space Telescope, JWST and next-generation wide-field near-infrared observatories such as Euclid or the Nancy Grace Roman Space Telescope.
Differential reddening in the direction of 56 Galactic globular clusters
Authors: Legnardi M V , Milone A P , Cordoni G , Lagioia E P , Dondoglio E , Marino A F , Jang S , Mohandasan A , Ziliotto T 
Published: April 2023

ABSTRACT
The presence of differential reddening in the direction of Galactic globular clusters (GCs) has proven to be a serious limitation in the traditional colour–magnitude diagram (CMD) analysis. Here, we estimate local reddening variations in the direction of 56 Galactic GCs. To do that, we use the public catalogues derived as part of the Hubble Space Telescope UV Legacy Survey of Galactic GCs, which include photometry in the F275W, F336W, F438W, F606W, and F814W filters. We corrected photometry for differential reddening and found that for 21 out of 56 GCs the adopted correction procedure significantly improved the CMDs. Moreover, we measure the reddening law in the direction of these clusters, finding that RV exhibits a high level of variability within the Galaxy, ranging from ∼2.0 to ∼4.0. The updated values of RV have been used to improve the determination of local reddening variations and derive high-resolution reddening maps in the direction of the 21 highly-reddened targets within our sample. To compare the results of the different clusters, we compute the 68th percentile of the differential-reddening distribution, $\sigma _{\Delta A_{\rm F814W}}$. This quantity ranges from 0.003 to 0.030 mag and exhibits a significant anticorrelation with the absolute module of the Galactic latitude and a strong correlation with the average reddening in the direction of each cluster. Therefore, highly-reddened GCs located in the proximity of the Galactic plane typically show higher differential-reddening variations across their field of view.
Management of Patients With Pancreatic Cancer Using the “Right Track” Model
Authors: Rosenzweig Allison , Berlin Jordan , Chari Suresh , Kindler Hedy , Matrisian Lynn , Mayoral Allison , Mills Jeannine , Nissen Nicholas , Picozzi Vincent , Zelada-Arenas Fatima , Fleming Jason 
Published: April 2023

Abstract
Pancreatic cancer is one of the few cancer types in the US with incidence and death rates continuing to rise. As the disease threatens to become the second leading cause of cancer-related deaths in the country, it is imperative to review the best practices currently available to extend and improve patient lives. To provide a roadmap for healthcare professionals detecting, diagnosing, and caring for patients with pancreatic cancer as a supplement to national guidelines focused on recommended treatment regimens, the Pancreatic Cancer Action Network (PanCAN)’s Scientific and Medical Affairs staff and expert Scientific and Medical Advisory Board have created a series of position statements. The statements are based upon scientific evidence and clinical observations published in the literature and research conducted through PanCAN’s internal programs and initiatives. This review summarizes the rationale and sources for these position statements related to diagnosis, treatment, and care for pancreatic cancer and provides information about resources to make these recommendations accessible to patients and their medical teams. Pancreatic cancer is a complex and extremely challenging disease. Beyond treatment recommendations outlined in national guidelines, steps can be taken to help patients feel better and live longer. Under the framework of the “Right Track” model—right team, right tests, right treatments, data sharing—PanCAN’s position statements can provide supplementary guidance to healthcare professionals for the short- and long-term management of patients with the disease.
The Caesar Problem — A Piecemeal Solution
Authors: Studd J P 
Published: April 2023

Abstract
The Caesar problem arises for abstractionist views, which seek to secure reference for terms such as ‘the number of $X$s’ or $\#X$ by stipulating the content of ‘unmixed’ identity contexts like ‘$\#X = \#Y$’. Frege objects that this stipulation says nothing about ‘mixed’ contexts such as ‘$\# X = \text{Julius Caesar}$’. This article defends a neglected response to the Caesar problem: the content of mixed contexts is just as open to stipulation as that of unmixed contexts.
The Impact of Private Schools, School Chains and PPPs in Developing Countries
Authors: Crawfurd Lee , Hares Susannah , Todd Rory 
Published: April 2023

Abstract
The private school sector has expanded with almost no public intervention to educate half of primary school children in many urban centers in Africa and Asia. Simple comparisons of test scores would suggest that these private schools may provide better quality than public schools, but how much of this difference is due to selection effects is unclear. Much donor and policymaker attention has proceeded on the basis that private schools do perform better, and focused on models of public subsidy to expand access, and investment in networks or chains to encourage expansion. We review the evidence of the effects of private schools on learning, and how that effect translates to public-private partnerships (PPPs). We also study the effects of private school chains. We conduct a systematic review for eligible studies, with transparent search criteria. The search resulted in over 100 studies on low-cost private schools and PPPs, with a large majority being on low-cost private schools. Our meta-analysis shows moderately strong effects from private schooling, although the limited number of experimental studies find much smaller effects than quasi-experimental studies. This advantage, though, is not nearly enough to help most children reach important learning goals. Turning to policy goals, we find that the private school advantage has not translated to public private partnerships, which have shown limited value in improving quality. They can however represent a lower-cost means of increasing access to school. We also find that private school chains perform little better than individual private schools and have little scope for achieving meaningful scale.