bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Sequential Importance Sampling Algorithm for Counting Linear Extensions
Authors: Jensen Alathea , Beichl Isabel 
Published: May 2020

In recent decades, a number of profound theorems concerning approximation of hard counting problems have appeared. These include estimation of the permanent, estimating the volume of a convex polyhedron, and counting (approximately) the number of linear extensions of a partially ordered set. All of these results have been achieved using probabilistic sampling methods, specifically Monte Carlo Markov Chain (MCMC) techniques. In each case, a rapidly mixing Markov chain is defined that is guaranteed to produce, with high probability, an accurate result after only a polynomial number of operations.
Although of polynomial complexity, none of these results lead to a practical computational technique, nor do they claim to. The polynomials are of high degree and a non-trivial amount of computing is required to get even a single sample. Our aim in this article is to present practical Monte Carlo methods for one of these problems, counting linear extensions. Like related work on estimating the coefficients of the reliability polynomial, our technique is based on improving the so-called Knuth counting algorithm by incorporating an importance function into the node selection technique giving a sequential importance sampling (SIS) method. We define and report performance on two importance functions.
The ACM SIGSOFT Paper and Peer Review Quality Initiative
Authors: Ralph Paul , Robbes Romain 
Published: May 2020

Scholarly peer review is crucial to science: it not only determines what is published where, but also, indirectly, who is hired, funded and promoted. Yet, virtually every academic has peer review horror stories. Empirical evidence suggests that "peer review is prejudiced, capricious, inefficient, ineffective, and generally unscientific" [1]. An experiment at a major machine learning conference found that peer review was unreliable highlighted that the outcome of peer review can be very noisy [2, 3].
In May 2019, ACM SIGSOFT launched an initiative to improve the quality of research papers and peer reviews at software engineering venues. It has two main components: empirical standards and recommendations for improving review processes.
IL26, a Noncanonical Mediator of DNA Inflammatory Stimulation, Promotes TNBC Engraftment and Progression in Association with Neutrophils
Authors: Trotter Timothy N. , Shuptrine Casey W. , Tsao Li-Chung , Marek Robert D. , Acharya Chaitanya , Wei Jun-Ping , Yang Xiao-Yi , Lei Gangjun , Wang Tao , Lyerly Herbert Kim , Hartman Zachary C. 
Published: May 2020

Abstract

IL26 is a unique amphipathic member of the IL10 family of cytokines that participates in inflammatory signaling through a canonical receptor pathway. It also directly binds DNA to facilitate cellular transduction and intracellular inflammatory signaling. Although IL26 has almost no described role in cancer, our in vivo screen of inflammatory and cytokine pathway genes revealed IL26 to be one of the most significant inflammatory mediators of mammary engraftment and lung metastatic growth in triple-negative breast cancer (TNBC). Examination of human breast cancers demonstrated elevated IL26 transcripts in TNBC specimens, specifically in tumor cells as well as in Th17 CD4+ T cells within clinical TNBC specimens. IL26 did not have an autocrine effect on human TNBC cells, but rather its effect on engraftment and growth in vivo required neutrophils. IL26 enhanced mouse-derived DNA induction of inflammatory cytokines, which were collectively important for mammary and metastatic lung engraftment. To neutralize this effect, we developed a novel IL26 vaccine to stimulate antibody production and suppress IL26-enhanced engraftment in vivo, suggesting that targeting this inflammatory amplifier could be a unique means to control cancer-promoting inflammation in TNBC and other autoimmune diseases. Thus, we identified IL26 as a novel key modulator of TNBC metastasis and a potential therapeutic target in TNBC as well as other diseases reliant upon IL26-mediated inflammatory stimulation.

Significance:
These findings identify IL26 as a unique, clinically relevant, inflammatory amplifier that enhances TNBC engraftment and dissemination in association with neutrophils, which has potential as a therapeutic target.
Role of MPR as an Early Signal for Efficacy in Neoadjuvant Studies
Authors: Blakely Collin M. , McCoach Caroline E. 
Published: May 2020

Abstract
Overall survival and disease-free survival have been the gold standard primary endpoints for neoadjuvant clinical trials. Major pathologic response is a clinically proven surrogate of efficacy and when used as the primary endpoint, can allow for more efficient evaluation of drugs in the neoadjuvant setting.
See related article by Cascone et al., p. 3525
Facility for Weather and Climate Assessments (FACTS): A Community Resource for Assessing Weather and Climate Variability
Authors: Murray Donald , Hoell Andrew , Hoerling Martin , Perlwitz Judith , Quan Xiao-Wei , Allured Dave , Zhang Tao , Eischeid Jon , Smith Catherine A. , Barsugli Joseph , McWhirter Jeff , Kreutzer Chris , Webb Robert S. 
Published: May 2020

AbstractThe Facility for Weather and Climate Assessments (FACTS) developed at the NOAA Physical Sciences Laboratory is a freely available resource that provides the science community with analysis tools; multimodel, multiforcing climate model ensembles; and observational/reanalysis datasets for addressing a wide class of problems on weather and climate variability and its causes. In this paper, an overview of the datasets, the visualization capabilities, and data dissemination techniques of FACTS is presented. In addition, two examples are given that show the use of the interactive analysis and visualization feature of FACTS to explore questions related to climate variability and trends. Furthermore, we provide examples from published studies that have used data downloaded from FACTS to illustrate the types of research that can be pursued with its unique collection of datasets.
On the Interpretation of the North Atlantic Averaged Sea Surface Temperature
Authors: Sun Jing , Latif Mojib , Park Wonsun , Park Taewook 
Published: May 2020

AbstractThe North Atlantic (NA) basin-averaged sea surface temperature (NASST) is often used as an index to study climate variability in the NA sector. However, there is still some debate on what drives it. Based on observations and climate models, an analysis of the different influences on the NASST index and its low-pass filtered version, the Atlantic multidecadal oscillation (AMO) index, is provided. In particular, the relationships of the two indices with some of its mechanistic drivers including the Atlantic meridional overturning circulation (AMOC) are investigated. In observations, the NASST index accounts for significant SST variability over the tropical and subpolar NA. The NASST index is shown to lump together SST variability originating from different mechanisms operating on different time scales. The AMO index emphasizes the subpolar SST variability. In the climate models, the SST-anomaly pattern associated with the NASST index is similar. The AMO index, however, only represents pronounced SST variability over the extratropical NA, and this variability is significantly linked to the AMOC. There is a sensitivity of this linkage to the cold NA SST bias observed in many climate models. Models suffering from a large cold bias exhibit a relatively weak linkage between the AMOC and AMO and vice versa. Finally, the basin-averaged SST in its unfiltered form, which has been used to question a strong influence of ocean dynamics on NA SST variability, mixes together multiple types of variability occurring on different time scales and therefore underemphasizes the role of ocean dynamics in the multidecadal variability of NA SSTs.
Performance Analysis of IMD High-Resolution Gridded Rainfall (0.25° × 0.25°) and Satellite Estimates for Detecting Cloudburst Events over the Northwest Himalayas
Authors: Jena Pravat , Garg Sourabh , Azad Sarita 
Published: May 2020

AbstractThe presence of a sparse rain gauge network in complex terrain like the Himalayas has encouraged the present study for the concerned evaluation of Indian Meteorological Department (IMD) ground-based gridded rainfall data for highly prevalent events like cloudbursts over the northwest Himalayas (NWH). To facilitate the abovementioned task, we intend to evaluate the performance of these observations at 0.25° × 0.25° (latitude–longitude) resolution against a predefined threshold (i.e., 99.99th percentile), thereby initially comprehending the success of IMD data in capturing the cloudburst events reported in media during 2014–16. Further, seven high-resolution satellite products, namely, CMORPH V0.x, PERSIANN-CDR, TMPA 3B42RT V7, IMERG V06B, INSAT-3D multispectral rainfall (IMR), CHIRPS V.2, and PERSIANN-CCS are evaluated against the IMD dataset. The following are our main results. 1) Six out of 18 cloudburst events are detected using IMD gridded data. 2) The contingency statistics at the 99.99th percentile reveal that the probability of detection (POD) of TMPA varies from 19.4% to 53.9% over the geographical stretch of NWH, followed by PERSIANN-CDR (18.6%–48.4%) and IMERG (4.9%–17.8%). 3) A new metric proposed as improved POD (IPOD) has been developed in this work, which takes into account the temporal lag that exists between observed and satellite estimates during an event period. Results show that for an event analysis IPOD provides a better comparison. The IPOD for TMPA is 32.8%–74.4%, followed by PERSIANN-CDR (34.4%–69.11%) and IMERG (15.3%–39.0%). 4) The conclusion stands as precipitation estimates obtained from CHIRPS are most suitable for monitoring cloudburst events over NWH with IPOD of 60.5%–78.6%.
Improved Statistical Method for Quality Control of Hydrographic Observations
Authors: Gourrion Jérôme , Szekely Tanguy , Killick Rachel , Owens Breck , Reverdin Gilles , Chapron Bertrand 
Published: May 2020

AbstractRealistic ocean state prediction and its validation rely on the availability of high quality in situ observations. To detect data errors, adequate quality check procedures must be designed. This paper presents procedures that take advantage of the ever-growing observation databases that provide climatological knowledge of the ocean variability in the neighborhood of an observation location. Local validity intervals are used to estimate binarily whether the observed values are considered as good or erroneous. Whereas a classical approach estimates validity bounds from first- and second-order moments of the climatological parameter distribution, that is, mean and variance, this work proposes to infer them directly from minimum and maximum observed values. Such an approach avoids any assumption of the parameter distribution such as unimodality, symmetry around the mean, peakedness, or homogeneous distribution tail height relative to distribution peak. To reach adequate statistical robustness, an extensive manual quality control of the reference dataset is critical. Once the data have been quality checked, the local minima and maxima reference fields are derived and the method is compared with the classical mean/variance-based approach. Performance is assessed in terms of statistics of good and bad detections. It is shown that the present size of the reference datasets allows the parameter estimates to reach a satisfactory robustness level to always make the method more efficient than the classical one. As expected, insufficient robustness persists in areas with an especially low number of samples and high variability.
An Objective Identification and Climatology of Upper-Tropospheric Jets near Atlantic Tropical Cyclones
Authors: Cowan Levi P. , Hart Robert E. 
Published: May 2020

AbstractAn objective algorithm is developed for identifying jets in 200-hPa flow and applied to reanalysis data within 2000 km of Atlantic tropical cyclones (TCs) during 1979–2015. The resulting set of 16 512 jets is analyzed both qualitatively and quantitatively to describe the climatology of TC–jet configurations and jet behavior near TCs. Jets occur most commonly poleward of TCs within the 500–1000-km annulus, where TC outflow amplifies the background potential vorticity gradient. A rigorous clustering analysis is performed, resulting in statistically distinct clusters of jet traces that correspond to common configurations of large-scale flow near Atlantic TCs. The speed structure of westerly jets poleward of TCs is found to vary with location in the Atlantic basin, but acceleration of jets downstream of their closest approach to the TC due to interaction with the TC’s diabatic outflow is a consistent feature of these structures. In addition to the climatology developed here, this objectively constructed dataset of upper-tropospheric jets opens unique avenues for exploring TC–environment interactions and utilizing jets to quantitatively describe large-scale flow.
The Impact of Playing a Musical Instrument on Obstructive Sleep Apnea: A Systematic Review
Authors: de Jong Jurjen C. , Maroda Andrew J. , Camacho Macario , Chen Philip G. 
Published: May 2020

Study Objectives: To conduct a systematic review of the medical literature evaluating the effects of playing a musical instrument on obstructive sleep apnea (OSA). Data Sources: Scopus, CINAHL, PubMed, and OVID. Review Methods: Searches were performed through October 22, 2019. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement was followed. Results: After thorough investigation amidst specific exclusion criteria, four studies were included in the systematic review: one randomized controlled trial and three cross-sectional studies. Polysomnography was used to assess apnea-hypopnea index (AHI) related to obstructive sleep apnea (OSA) in the randomized controlled trial, while the Berlin questionnaire was used to assess high- and low risk OSA in the cross-sectional studies. Various instrument types were mentioned in these studies, largely focusing on wind instruments and subgroups within the wind instrument family. Conclusion: Current literature, although sparse, suggests that playing certain types of wind instruments are associated with either improving patients’ AHI or reducing the risk of developing OSA. Future studies with larger sample sizes utilizing validated diagnostic tools to measure the presence and severity of OSA are necessary to determine the true impact of such interventions. Although more research is needed, sustainable and minimally invasive interventions such as playing a specific type of musical instrument could serve as an accessible, inexpensive, and effective adjunctive treatment for OSA.
Comparison of Materials Used for 3D-Printing Temporal Bone Models to Simulate Surgical Dissection
Authors: McMillan Alexandra , Kocharyan Armine , Dekker Simone E. , Kikano Elias George , Garg Anisha , Huang Victoria W. , Moon Nicholas , Cooke Malcolm , Mowry Sarah E. 
Published: May 2020

Objective: To identify 3D-printed temporal bone (TB) models that most accurately recreate cortical mastoidectomy for use as a training tool by comparison of different materials and fabrication methods. Background: There are several different printers and materials available to create 3D-printed TB models for surgical planning and trainee education. Current reports using Acrylonitrile Butadiene Styrene (ABS) plastic generated via fused deposition modeling (FDM) have validated the capacity for 3D-printed models to serve as accurate surgical simulators. Here, a head-to-head comparison of models produced using different materials and fabrication processes was performed to identify superior models for application in skull base surgical training. Methods: High-resolution CT scans of normal TBs were used to create stereolithography files with image conversion for application in 3D-printing. The 3D-printed models were constructed using five different materials and four printers, including ABS printed on a MakerBot 2x printer, photopolymerizable polymer (Photo) using the Objet 350 Connex3 Printer, polycarbonate (PC) using the FDM-Fortus 400 mc printer, and two types of photocrosslinkable acrylic resin, white and blue (FLW and FLB, respectively), using the Formlabs Form 2 stereolithography printer. Printed TBs were drilled to assess the haptic experience and recreation of TB anatomy with comparison to the current paradigm of ABS. Results: Surgical drilling demonstrated that FLW models created by FDM as well as PC and Photo models generated using photopolymerization more closely recreated cortical mastoidectomy compared to ABS models. ABS generated odor and did not represent the anatomy accurately. Blue resin performed poorly in simulation, likely due to its dark color and translucent appearance. Conclusions: PC, Photo, and FLW models best replicated surgical drilling and anatomy as compared to ABS and FLB models. These prototypes are reliable simulators for surgical training.
A transdiagnostic perspective of constructs underlying obsessive-compulsive and related disorders: An international Delphi consensus study
Authors: Fontenelle Leonardo F , Oldenhof Erin , Eduarda Moreira-de-Oliveira Maria , Abramowitz Jonathan S , Antony Martin M , Cath Danielle , Carter Adrian , Dougherty Darin , Ferrão Ygor A , Figee Martijn , Harrison Ben J , Hoexter Marcelo , Soo Kwon Jun , Küelz Anne , Lazaro Luísa , Lochner Christine , Marazziti Donatella , Mataix-Cols David , McKay Dean , Miguel Euripedes C , Morein-Zamir Sharon , Moritz Steffen , Nestadt Gerald , O’Connor Kieron , Pallanti Stefano , Purdon Christine , Rauch Scott , Richter Peggy , Rotge Jean-Yves , Shavitt Roseli G , Soriano-Mas Carles , Starcevic Vladan , Stein Dan J , Steketee Gail , Storch Eric A , Taylor Steven , van den Heuvel Odile A , Veale David , Woods Douglas W , Verdejo-Garcia Antonio , Yücel Murat 
Published: May 2020

Background: The Research Domain Criteria seeks to bridge knowledge from neuroscience with clinical practice by promoting research into valid neurocognitive phenotypes and dimensions, irrespective of symptoms and diagnoses as currently conceptualized. While the Research Domain Criteria offers a vision of future research and practice, its 39 functional constructs need refinement to better target new phenotyping efforts. This study aimed to determine which Research Domain Criteria constructs are most relevant to understanding obsessive-compulsive and related disorders, based on a consensus between experts in the field of obsessive-compulsive and related disorders. Methods: Based on a modified Delphi method, 46 experts were recruited from Australia, Africa, Asia, Europe and the Americas. Over three rounds, experts had the opportunity to review their opinion in light of feedback from the previous round, which included how their response compared to other experts and a summary of comments given. Results: Thirty-four experts completed round one, of whom 28 (82%) completed round two and 24 (71%) completed round three. At the final round, four constructs were endorsed by ⩾75% of experts as ‘primary constructs’ and therefore central to understanding obsessive-compulsive and related disorders. Of these constructs, one came from the Positive Valence System (Habit), two from the Cognitive Control System (Response Selection/Inhibition and Performance Monitoring) and the final construct was an additional item suggested by experts (Compulsivity). Conclusion: This study identified four Research Domain Criteria constructs that, according to experts, cut across different obsessive-compulsive and related disorders. These constructs represent key areas for future investigation, and may have potential implications for clinical practice in terms of diagnostic processes and therapeutic management of obsessive-compulsive and related disorders.
Cross-cultural adaptation of children’s environmental health questionnaires for nursing students in England
Authors: Álvarez-García Cristina , Álvarez-Nieto Carmen , Carter Rachel , Kelsey Janet , Sanz-Martos Sebastián , López-Medina Isabel M 
Published: May 2020

Objectives: Children are among the most vulnerable population groups with regard to environmental risks. Nursing students must be fully educated on children’s environmental health as they are in a key position to prevent and reduce the effects of environmental hazards. The main objective of this study was to adapt and validate an English language version of two questionnaires about children’s health and the environment, to assess the knowledge and skills of student nurses in England. Design: Observational cross-sectional study. Setting: A university in Southern England. Method: The study involves translating, adapting and validating the Children’s Environmental Health Knowledge Questionnaire (ChEHK-Q) and the Children’s Environmental Health Skills Questionnaire (ChEHS-Q) with nursing students in England ( N = 232). Results: The psychometric characteristics of both questionnaires were strong. Infit and outfit values were close to 1. The reliability values for the items and people were 0.96 and 0.79 for ChEHK-Q and 0.98 and 0.89 for ChEHS-Q, respectively. Only 52 (22.41%) and 77 (33.62%) participants had at least good knowledge and skills, respectively. Higher knowledge and skills were found with respect to the vulnerability of children and identification of environmental risks in the home. Lower levels of knowledge and skills were found with respect to the effects of pesticides and the assessment of neoplastic pollutants. Conclusion: Findings demonstrate deficiencies in nursing competencies related to children’s environmental health. The use of these questionnaires will facilitate improvement in both knowledge and skills related to children’s environmental health among future nurses.
Predictive Values of Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Other Prognostic Factors in Pediatric Patients With Bell’s Palsy
Authors: Kim Dong Hyun , Oh Jae Hwan , Kim Junsuk , Cho Chang Hyun , Lee Ju Hyoung 
Published: May 2020

Background and Objectives: Bell’s palsy (BP) is the most frequent cause of unilateral facial paralysis, and inflammation is believed to play an important role in pathogenesis. Due to its rarity, however, no consensus has been reached regarding optimum treatment or factors affecting prognosis. In the present study, treatment outcomes and prognostic factors of BP were investigated in pediatric patients who underwent steroid therapy. The goal was to investigate the relationship between BP and inflammation using multiple inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), and red cell distribution width (RDW). Materials and Methods: In all, 54 patients diagnosed with BP and 39 healthy randomly selected controls were enrolled in this retrospective study. Demographic characteristics and complete blood cell count test results were compared. In addition, prognostic factors were sought by dividing the 54 patients with BP into 2 groups according to the House-Brackmann grading system: low grade BP (grades II and III) and high grade BP (grades IV and V). Serum samples were analyzed retrospectively on initial presentation and 6 months after the symptom begins. Meaningful hematological parameters include NLR, PLR, MPV, and RDW. Results: The NLR values in the BP group were significantly higher than in the control group. The NLR value in the 2 groups of patients with BP differed significantly. The mean PLR value in the BP group was higher than in the control group; however, there were no significant differences between the low-grade and high-grade BP groups nor were there any statically significant differences in the other characteristics. Conclusion: The NLR and PLR values are readily accessible parameters that may be useful prognostic markers in pediatric patients with BP. Further studies are required to confirm these results and their utility in predicting prognosis and treating pediatric patients with BP.