bluuebunny/crossref_metadata_2025_split huggingface dataset:
The risk of racial bias while tracking influenza-related content on social media using machine learning
Authors: Lwowski Brandon , Rios Anthony 
Published: December 2020

Abstract

Objective
Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore the biases of different machine learning methods for the specific task of detecting influenza-related content. We compare the performance of each model on tweets written in Standard American English (SAE) vs African American English (AAE).

Materials and Methods
Two influenza-related datasets are used to train 3 text classification models (support vector machine, convolutional neural network, bidirectional long short-term memory) with different feature sets. The datasets match real-world scenarios in which there is a large imbalance between SAE and AAE examples. The number of AAE examples for each class ranges from 2% to 5% in both datasets. We also evaluate each model's performance using a balanced dataset via undersampling.

Results
We find that all of the tested machine learning methods are biased on both datasets. The difference in false positive rates between SAE and AAE examples ranges from 0.01 to 0.35. The difference in the false negative rates ranges from 0.01 to 0.23. We also find that the neural network methods generally has more unfair results than the linear support vector machine on the chosen datasets.

Conclusions
The models that result in the most unfair predictions may vary from dataset to dataset. Practitioners should be aware of the potential harms related to applying machine learning to health-related social media data. At a minimum, we recommend evaluating fairness along with traditional evaluation metrics.
HITECH to 21st century cures: clinician burden and evolving health IT policy
Authors: Gettinger Andrew , Zayas-Cabán Teresa 
Published: December 2020

Abstract
Adoption and use of health information technology (IT) was identified as 1 solution to quality and safety issues that permeate the United States health care system. Implementation of health IT has accelerated across the US over the past decade, in part, as a result of legislative and regulatory requirements and incentives. However, adoption of these systems has burdened clinician users due to design, configuration, and implementation issues, resulting in poor usability, challenges to workflow integration, and cumbersome documentation requirements. The path to alleviating these clinician burdens requires a clear understanding of the intent and evolution of pertinent regulations and the context in which they exist. This article reviews the Office of the National Coordinator of Health Information Technology’s efforts, documents current regulatory actions, and discusses additional policy opportunities that can further improve clinician satisfaction and effectiveness in providing health care with health IT that is an asset, not an obstacle.
Laboratory Selection, Cross-Resistance, Risk Assessment to Lambda-Cyhalothrin Resistance, and Monitoring of Insecticide Resistance for Plant BugLygus pratensis(Hemiptera: Miridae) in Farming-Pastoral Ecotones of Northern China
Authors: Tan Yao , Ma Yi , Jia Bing , Homem Rafael A , Williamson Martin S , Gao Shu-Jing , Han Hai-Bin , Xiang Kai-Feng , Sun Xue-Tao , Gao Xia , Pang Bao-Ping 
Published: December 2020

AbstractThe plant bug Lygus pratensis Linnaeus (Hemiptera: Miridae) is an important insect pest of alfalfa in grassland farming in northern China. A field population of L. pratensis was selected in the laboratory for 14 consecutive generations with lambda-cyhalothrin to generate 42.555-fold resistance. Selection also induced low cross-resistance to imidacloprid and beta-cypermethrin, and medium cross-resistance to deltamethrin. Realized heritability (h2) of lambda-cyhalothrin resistance was 0.339. Susceptible baselines of L. pratensis were established for five insecticides using the glass-vial method, the values of which were 6.849, 3.423, 8.778, 3.559, and 117.553 ng/cm2 for phoxim, methomyl, imidacloprid, lambda-cyhalothrin, and avermectin, respectively, along with the calculated LC99 diagnostic doses. This resistance risk assessment study suggests that a high risk of lambda-cyhalothrin resistance exists in the field. In addition, a 5-year field investigation of resistance monitoring of L. pratensis was conducted in seven alfalfa regions in farming-pastoral ecotones in northern China. The resistance levels of most populations were very low for phoxim, methomyl, and avermectin, with an upward trend for lambda-cyhalothrin resistance in the DK (Dengkou County), TKT (Tuoketuo County), XL (Xilinhot), and LX (Linxi County) populations during 2015–2019, and medium resistance level to imidacloprid in the TKT population in five years we sampled. The study provided information on chemical control, lambda-cyhalothrin resistance development, baseline susceptibility, and the status of resistance to five commonly-used insecticides against L. pratensis. These results could be used to optimize pyrethroid insecticide use as part of a pest integrated resistance management strategy against this key insect pest of alfalfa.
Social Influence in Prosocial Behavior: Evidence from a Large-Scale Experiment
Authors: Goette Lorenz , Tripodi Egon 
Published: December 2020

Abstract
We propose a novel experiment that prevents social learning, thus allowing us to disentangle the underlying mechanisms of social influence. Subjects observe their peer’s incentives, but not their behavior. We find evidence of conformity: When individuals believe that incentives make others contribute more, they also increase their contributions. Conformity is driven by individuals who feel socially close to their peer. However, when incentives are not expected to raise their peer’s contributions, participants reduce their own contributions. Our data are consistent with an erosion of norm adherence when prosocial behavior of the social reference is driven by extrinsic motives, and cannot be explained by incentive inequality or altruistic crowding out. These findings show scope for social influence in settings with limited observability and offer insights into the mediators of conformity.
Bone marrow lesions: etiology and pathogenesis at the hip
Authors: Munsch Maria A , Safran Marc R , Mai Matthew C , Vasileff W Kelton 
Published: December 2020

Abstract
Bone marrow lesions (BML) are painful changes in subchondral bone which can be reliably identified on magnetic resonance imaging and have been identified in patients suffering from hip osteoarthritis (OA) and related conditions. Created via repetitive microdamage at the articular surface and dysregulated subchondral healing, BML have been linked to traumatic, inflammatory, degenerative, metabolic and neoplastic processes. While BML are known to be a common pathology throughout the body, BML at the hip have not been extensively studied in comparison to those at the knee. Due to the hip’s unique biomechanical architecture, function and loading, and independent risk factors leading to hip OA, hip BMLs must be independently understood. The identification of BML in the setting of a pre-osteoarthritic condition may provide a target for treatment and prevention of joint degeneration. By continuing to define and refine the relationships between BML, subchondral bone cysts and OA, prevention, diagnosis and treatment of OA could shift, leading to an improved quality of life and increased longevity of individuals’ native hips.
Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group
Authors: Nielsen Torsten O , Leung Samuel C. Y , Rimm David L , Dodson Andrew , Acs Balazs , Badve Sunil , Denkert Carsten , Ellis Matthew J , Fineberg Susan , Flowers Margaret , Kreipe Hans H , Laenkholm Anne-Vibeke , Pan Hongchao , Penault-Llorca Frédérique M , Polley Mei-Yin , Salgado Roberto , Smith Ian E , Sugie Tomoharu , Bartlett John M. S , McShane Lisa M , Dowsett Mitch , Hayes Daniel F 
Published: December 2020

AbstractKi67 immunohistochemistry (IHC), commonly used as a proliferation marker in breast cancer, has limited value for treatment decisions due to questionable analytical validity. The International Ki67 in Breast Cancer Working Group (IKWG) consensus meeting, held in October 2019, assessed the current evidence for Ki67 IHC analytical validity and clinical utility in breast cancer, including the series of scoring studies the IKWG conducted on centrally stained tissues. Consensus observations and recommendations are: 1) as for estrogen receptor and HER2 testing, preanalytical handling considerations are critical; 2) a standardized visual scoring method has been established and is recommended for adoption; 3) participation in and evaluation of quality assurance and quality control programs is recommended to maintain analytical validity; and 4) the IKWG accepted that Ki67 IHC as a prognostic marker in breast cancer has clinical validity but concluded that clinical utility is evident only for prognosis estimation in anatomically favorable estrogen receptor–positive and HER2-negative patients to identify those who do not need adjuvant chemotherapy. In this T1-2, N0-1 patient group, the IKWG consensus is that Ki67 5% or less, or 30% or more, can be used to estimate prognosis. In conclusion, analytical validity of Ki67 IHC can be reached with careful attention to preanalytical issues and calibrated standardized visual scoring. Currently, clinical utility of Ki67 IHC in breast cancer care remains limited to prognosis assessment in stage I or II breast cancer. Further development of automated scoring might help to overcome some current limitations.
Improving Cervical Precancer Surveillance: Validity of Claims-Based Prediction Models in ICD-9 and ICD-10 Eras
Authors: Shing Jaimie Z , Griffin Marie R , Nguyen Linh D , Slaughter James C , Mitchel Edward F , Pemmaraju Manideepthi , Rentuza Alyssa B , Hull Pamela C 
Published: December 2020

AbstractBackgroundHuman papillomavirus vaccine (HPV) impact on cervical precancer (cervical intraepithelial neoplasia grades 2+ [CIN2+]) is observable sooner than impact on cancer. Biopsy-confirmed CIN2+ is not included in most US cancer registries. Billing codes could provide surrogate metrics; however, the International Classification of Diseases, ninth (ICD-9) to tenth (ICD-10) transition disrupts trends. We built, validated, and compared claims-based models to identify CIN2+ events in both ICD eras.MethodsA database of Davidson County (Nashville), Tennessee, pathology-confirmed CIN2+ from the HPV Vaccine Impact Monitoring Project (HPV-IMPACT) provided gold standard events. Using Tennessee Medicaid 2008-2017, cervical diagnostic procedures (N = 8549) among Davidson County women aged 18-39 years were randomly split into 60% training and 40% testing sets. Relevant diagnosis, procedure, and screening codes were used to build models from CIN2+ tissue diagnosis codes alone, least absolute shrinkage and selection operator (LASSO), and random forest. Model-classified index events were counted to estimate incident events.ResultsHPV-IMPACT identified 983 incident CIN2+ events. Models identified 1007 (LASSO), 1245 (CIN2+ tissue diagnosis codes alone), and 957 (random forest) incident events. LASSO performed well in ICD-9 and ICD-10 eras: 77.3% (95% confidence interval [CI] = 72.5% to 81.5%) vs 81.1% (95% CI = 71.5% to 88.6%) sensitivity, 93.0% (95% CI = 91.9% to 94.0%) vs 90.2% (95% CI = 87.2% to 92.7%) specificity, 61.3% (95% CI = 56.6% to 65.8%) vs 60.3% (95% CI = 51.0% to 69.1%) positive predictive value, 96.6% (95% CI = 95.8% to 97.3%) vs 96.3% (95% CI = 94.1% to 97.8%) negative predictive value, 91.0% (95% CI = 89.9% to 92.1%) vs 88.8% (95% CI = 85.9% to 91.2%) accuracy, and 85.1% (95% CI = 82.9% to 87.4%) vs 85.6% (95% CI = 81.4% to 89.9%) C-indices, respectively; performance did not statistically significantly differ between eras (95% confidence intervals all overlapped).ConclusionsResults confirmed model utility with good performance across both ICD eras for CIN2+ surveillance. Validated claims-based models may be used in future CIN2+ trend analyses to estimate HPV vaccine impact where population-based biopsies are unavailable.
The Imperial Makings of Medical Work: Peter Johnstone Freyer and the Practice of Genitourinary Medicine in Britain and the Raj, c. 1875–1921
Authors: Fitzpatrick Kieran 
Published: December 2020

Abstract
This article establishes the social history that connected British imperialism, the medical profession, and the meaning of its work through the career of a prominent Irish surgeon, Peter Johnstone Freyer, between 1875 and 1921. Although the social history of professions has been of frequent interest among contributors to this journal, their readings have maintained particularly “structural” accounts of what provides professions with their power and authority. From this perspective, professions are made and maintained by formal education, the strength of the associations between their members, and how they practice their knowledge. In recent years, however, such accounts have been called into question by scholars who seek to emphasize the “imaginative” qualities of professions, that is, the active processes by which they situate their ethics, values, and institutions in relation to particular cultures external to the formal structures of the profession itself. This is the premise from which I work in order to demonstrate the ways in which the social and cultural contexts provided by British imperialism shaped the meaning of Freyer’s practice in genitourinary medicine, both in India and metropolitan London. As a result, I augment pre-existing accounts of this medical specialty, which have been written in line with structural accounts of the social history of professions.
Parameterized complexity of abduction in Schaefer’s framework
Authors: Mahmood Yasir , Meier Arne , Schmidt Johannes 
Published: December 2020

Abstract
Abductive reasoning is a non-monotonic formalism stemming from the work of Peirce. It describes the process of deriving the most plausible explanations of known facts. Considering the positive version, asking for sets of variables as explanations, we study, besides the problem of wether there exists a set of explanations, two explanation size limited variants of this reasoning problem (less than or equal to, and equal to a given size bound). In this paper, we present a thorough two-dimensional classification of these problems: the first dimension is regarding the parameterized complexity under a wealth of different parameterizations, and the second dimension spans through all possible Boolean fragments of these problems in Schaefer’s constraint satisfaction framework with co-clones (T. J. Schaefer. The complexity of satisfiability problems. In Proceedings of the 10th Annual ACM Symposium on Theory of Computing, May 1–3, 1978, San Diego, California, USA, R.J. Lipton, W.A. Burkhard, W.J. Savitch, E.P. Friedman, A.V. Aho eds, pp. 216–226. ACM, 1978). Thereby, we almost complete the parameterized complexity classification program initiated by Fellows et al. (The parameterized complexity of abduction. In Proceedings of the Twenty-Sixth AAAI Conference on Articial Intelligence, July 22–26, 2012, Toronto, Ontario, Canada, J. Homann, B. Selman eds. AAAI Press, 2012), partially building on the results by Nordh and Zanuttini (What makes propositional abduction tractable. Artificial Intelligence, 172, 1245–1284, 2008). In this process, we outline a fine-grained analysis of the inherent parameterized intractability of these problems and pinpoint their FPT parts. As the standard algebraic approach is not applicable to our problems, we develop an alternative method that makes the algebraic tools partially available again.
A Prospective Assessment of a Novel, Disposable Video Laryngoscope With Physician Assistant Trainees Using a Synthetic Cadaver Model
Authors: Schauer Steven G , Davis William T , Johnson Michelle D , Escandon Mireya A , Uhaa Nguvan , Maddry Joseph K , Naylor Jason F , Van Arnem Kerri A , April Michael D 
Published: December 2020

ABSTRACTBackgroundAirway obstruction is the second leading cause of preventable death on the battlefield. Video laryngoscopy has improved airway management in the emergency setting for several decades, and technology continues to improve. Current technology in the supply chain is cost-prohibitive to incorporate at Role 1 facilities, which is where many intubations occur by novice intubators. The i-view is a novel video laryngoscopy device that is handheld, inexpensive, and disposable. The aim of this study was to determine if the i-view is suitable based on performance assessments by physician assistant trainees and survey feedback.Materials and MethodsWe prospectively enrolled physician assistant students at the Interservice Physician Assistant Program at Joint Base San Antonio—Fort Sam Houston. We provided them structured training on how to use the device, and then, a board-certified emergency medicine physician or certified registered nurse anesthetist assessed their intubations performed on a SynDaver mannequin model. We surveyed the participants afterward.ResultsWe enrolled 60 Interservice Physician Assistant Program students. Most participants were male (75%) with a median age of 32 years. Service affiliations included Army (50%), Navy (23%), Air Force (18%), and Coast Guard (8%). Most (70%) had previous deployment experience. All the participants successfully cannulated the mannequins and 98% achieved first-attempt success. Most participants (78%) reported a grade 1 view. On postprocedure survey, 91% strongly agreed with using this device in the deployed setting and 89% strongly agreed with finding it easy to use.ConclusionsAll physician assistant trainees successfully and rapidly performed endotracheal intubation using the disposable i-view video laryngoscope. Study participants rated the device as easy to use and desirable for deployment. Further research is necessary to validate this novel device in the clinical setting before recommending dissemination to the deployed military medical force sets, kits, and outfits.
Completeness of the Gaia-verse III: using hidden states to infer gaps, detection efficiencies, and the scanning law from the DR2 light curves
Authors: Boubert Douglas , Everall Andrew , Fraser Jack , Gration Amery , Holl Berry 
Published: December 2020

ABSTRACT
The completeness of the Gaia catalogues heavily depends on the status of that space telescope through time. Stars are only published with each of the astrometric, photometric, and spectroscopic data products if they are detected a minimum number of times. If there is a gap in scientific operations, a drop in the detection efficiency or Gaia deviates from the commanded scanning law, then stars will miss out on potential detections and thus be less likely to make it into the Gaia catalogues. We lay the groundwork to retrospectively ascertain the status of Gaia throughout the mission from the tens of individual measurements of the billions of stars, by developing novel methodologies to infer both the orientation and angular velocity of Gaia through time and gaps and efficiency drops in the detections. We have applied these methodologies to the Gaia data release 2 variable star epoch photometry – which are the only publicly available Gaia time-series at the present time – and make the results publicly available. We accompany these results with a new python package scanninglaw that you can use to easily predict Gaia observation times and detection probabilities for arbitrary locations on the sky.
Galaxy And Mass Assembly (GAMA): the interplay between galaxy mass, SFR, and heavy element abundance in paired galaxy sets
Authors: Garduño L E , Lara-López M A , López-Cruz O , Hopkins A M , Owers M S , Pimbblet K A , Holwerda B W 
Published: December 2020

ABSTRACT
We study the star formation rate (SFR), stellar mass (M⋆), and the gas metallicity (Z) for 4636 galaxy pairs using the Galaxy And Mass Assembly (GAMA) survey. Our galaxy pairs lie in a redshift range of 0 &lt; z &lt; 0.35, mass range of 7.5 &lt; log(M⋆/M⊙) &lt; 11.5 and ΔV &lt; 1000 km s−1. We explore variations in SFR and Z from three point of views: multiplicity, pair separation, and dynamics. We define multiplicity as the number of galaxies paired with a single galaxy, and analyzed for the first time variations in SFR and Z for both, single pairs and pairs with higher multiplicity. For the latter, we find SFR enhancements from 0.025–0.15 dex, that would shift the M–SFR relation of single pairs by 27${{\ \rm per\ cent}}$ to higher SFRs. The effect of Z, on the other hand, is of only 4${{\ \rm per\ cent}}$. We analyse the most and least massive galaxy of major/minor pairs as a function of the pair separation. We define major pairs those with mass ratios of 0.5 &lt; M1/M2 &lt; 2, while pairs with more discrepant mass ratios are classified as minor pairs. We find SFR enhancements of up to two and four times with respect to their control sample, for major and minor pairs. For the case of Z, we find decrements of up to 0.08 dex for the closest pairs. When we focus on dynamics, Z enhancements are found for minor pairs with high-velocity dispersion $(\sigma _p \gt 250 \,\, \mathrm{km\, s ^{-1}})$ and high multiplicity.
Using angular momentum maps to detect kinematically distinct galactic components
Authors: Irodotou Dimitrios , Thomas Peter A 
Published: December 2020

ABSTRACT
In this work, we introduce a physically motivated method of performing disc/spheroid decomposition of simulated galaxies, which we apply to the eagle sample. We make use of the healpix package to create Mollweide projections of the angular momentum map of each galaxy’s stellar particles. A number of features arise on the angular momentum space which allows us to decompose galaxies and classify them into different morphological types. We assign stellar particles with angular separation of less/greater than 30° from the densest grid cell on the angular momentum sphere to the disc/spheroid components, respectively. We analyse the spatial distribution for a subsample of galaxies and show that the surface density profiles of the disc and spheroid closely follow an exponential and a Sérsic profile, respectively. In addition discs rotate faster, have smaller velocity dispersions, are younger and are more metal rich than spheroids. Thus, our morphological classification reproduces the observed properties of such systems. Finally, we demonstrate that our method is able to identify a significant population of galaxies with counter-rotating discs and provide a more realistic classification of such systems compared to previous methods.