cssi/SciSciGPT-SciSciNet huggingface dataset:
BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention

In this article, we present BubbleView, an alternative methodology for eye tracking using discrete mouse clicks to measure which information people consciously choose to examine. BubbleView is a mouse-contingent, moving-window interface in which participants are presented with a series of blurred images and click to reveal “bubbles” -- small, circular areas of the image at original resolution, similar to having a confined area of focus like the eye fovea. Across 10 experiments with 28 different parameter combinations, we evaluated BubbleView on a variety of image types: information visualizations, natural images, static webpages, and graphic designs, and compared the clicks to eye fixations collected with eye-trackers in controlled lab settings. We found that BubbleView clicks can both (i) successfully approximate eye fixations on different images, and (ii) be used to rank image and design elements by importance. BubbleView is designed to collect clicks on static images, and works best for defined tasks such as describing the content of an information visualization or measuring image importance. BubbleView data is cleaner and more consistent than related methodologies that use continuous mouse movements. Our analyses validate the use of mouse-contingent, moving-window methodologies as approximating eye fixations for different image and task types.
Disinflation and Sectoral Productivity Gains: An Optimal Control Analysis

Abstract The paper uses a fixprice-flexprice macroeconomic model to develop a simple but plausible theory of inflation and disinflation. The distinguishing feature of the model is the role played by changes in the relative rates of sectoral productivity gains. It is argued that changes in these rates contributed significantly to the inflation of the 1970's and the disinflation of the 1980's. A 12 equation macromodel is developed and estimated and then used to simulate the impacts of both actual and optimal policy responses.
Plastic surgery or primary care? Altruistic preferences and expected specialty choice of U.S. medical students

Understanding physicians' decisions when faced with conflicts between their own financial self-interest and patients' economic or health interests is of key importance in health economics and policy. This issue is especially salient in certain medical specialties where less altruistic behavior of physicians can yield significant financial gains. This study examines experimentally measured altruistic preferences of medical students from schools around the U.S., and whether these preferences predict those students' expected medical specialty choice. The experimental design consists of a set of computer-based revealed preference decision problems, which ask the experimental subjects to allocate real money between themselves and an anonymous person. These data are used to derive an innovative measure of altruism for each participant. I then examine the association between altruism and expected specialty choice, after controlling for an extensive set of covariates collected from an accompanying survey questionnaire. Medical students with a lower degree of altruism are significantly more likely to choose high-income specialties, conditioning on an extensive set of covariates. This altruism measure is more predictive of income of specialty choice than a wide range of other characteristics, including parental income, student loan amount and Medical College Admission Test (MCAT) score. On the other hand, the altruism measure does not predict choosing primary care specialties. I also find that altruism predicts students' self-reported likelihood of practicing medicine in an underserved area.
4D Multi-atlas Label Fusion using Longitudinal Images.

Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have shown more than 10% variability. To improve reproducibility, longitudinal segmentation (4D) approaches have been investigated to reconcile temporal variations with traditional 3D approaches. In the past decade, multi-atlas label fusion has become a state-of-the-art segmentation technique for 3D image and many efforts have been made to adapt it to a 4D longitudinal fashion. However, the previous methods were either limited by using application specified energy function (e.g., surface fusion and multi model fusion) or only considered temporal smoothness on two consecutive time points (t and t + 1) under sparsity assumption. Therefore, a 4D multi-atlas label fusion theory for general label fusion purpose and simultaneously considering temporal consistency on all time points is appealing. Herein, we propose a novel longitudinal label fusion algorithm, called 4D joint label fusion (4DJLF), to incorporate the temporal consistency modeling via non-local patch-intensity covariance models. The advantages of 4DJLF include: (1) 4DJLF is under the general label fusion framework by simultaneously incorporating the spatial and temporal covariance on all longitudinal time points. (2) The proposed algorithm is a longitudinal generalization of a leading joint label fusion method (JLF) that has proven adaptable to a wide variety of applications. (3) The spatial temporal consistency of atlases is modeled in a probabilistic model inspired from both voting based and statistical fusion. The proposed approach improves the consistency of the longitudinal segmentation while retaining sensitivity compared with original JLF approach using the same set of atlases. The method is available online in open-source.
Practical Application of Theory in Business

Theorists spend countless hours conducting research to explain phenomena that exist in the world and to increase the base of knowledge in their fields. Once this knowledge is discovered and codified, it should be used. However, scholars are divided on the relationship between theory and practical application and their reciprocal value. This paper explores the relationship between theory and practical application and displays a specific example of how one theory, the theory of service-dominant logic, can be practically applied in the field of business.
Racial Differences in Attitudes toward Aging, Aging Knowledge, and Contact.

ABSTRACTThe present study assessed knowledge of aging, attitudes toward aging, ageism, and contact with older adults in a sample of 271 Non-Hispanic White and African-American undergraduates. Research examining racial differences in knowledge of aging, attitudes toward aging, ageism, and contact with older adults has been sparse. Results for the current study demonstrated a significant correlation between knowledge of aging measured by the Facts on Aging Quiz-Revised (FAQ-R) and attitudes toward aging measured by the Aging Semantic Differential (ASD) for Non-Hispanic Whites but not African-Americans. In contrast, correlations between the FAQ-R and the Fraboni Scale of Ageism (FSA) were significant for both groups. Significant group differences were also noted for the ASD-total score and ASD-Instrumentality subscale as well as for the FSA-total score, Antilocution, and Discrimination subscales. Discussion focuses on the importance of identifying cultural and contextual factors that have been neglected in t...
Observer's anxiety facilitates magnocellular processing of clear facial threat cues, but impairs parvocellular processing of ambiguous facial threat cues.

Facial expression and eye gaze provide a shared signal about threats. While a fear expression with averted gaze clearly points to the source of threat, direct-gaze fear renders the source of threat ambiguous. Separable routes have been proposed to mediate these processes, with preferential attunement of the magnocellular (M) pathway to clear threat, and of the parvocellular (P) pathway to threat ambiguity. Here we investigated how observers’ trait anxiety modulates M- and P-pathway processing of clear and ambiguous threat cues. We scanned subjects (N = 108) widely ranging in trait anxiety while they viewed fearful or neutral faces with averted or directed gaze, with the luminance and color of face stimuli calibrated to selectively engage M- or P-pathways. Higher anxiety facilitated processing of clear threat projected to M-pathway, but impaired perception of ambiguous threat projected to P-pathway. Increased right amygdala reactivity was associated with higher anxiety for M-biased averted-gaze fear, while increased left amygdala reactivity was associated with higher anxiety for P-biased, direct-gaze fear. This lateralization was more pronounced with higher anxiety. Our findings suggest that trait anxiety differentially affects perception of clear (averted-gaze fear) and ambiguous (direct-gaze fear) facial threat cues via selective engagement of M and P pathways and lateralized amygdala reactivity.
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

Corpus-based set expansion (i.e., finding the “complete” set of entities belonging to the same semantic class, based on a given corpus and a tiny set of seeds) is a critical task in knowledge discovery. It may facilitate numerous downstream applications, such as information extraction, taxonomy induction, question answering, and web search.
Analysis techniques for supporting hard real-time sporadic gang task systems

This paper first studies the problem of scheduling hard real-time sporadic gang task systems under global earliest-deadline-first on a multiprocessor platform, where a gang application’s threads need to be concurrently scheduled on distinct processors. A novel approach combining new lag-based reasoning and executing/non-executing gang interval analysis technique is introduced, which is able to characterize the parallelism-induced idleness, as a key challenge of analyzing gang task schedules. To the best of our knowledge, this approach yields the first utilization-based test for hard real-time gang task systems. To further handle the clustered scheduling scenario, we propose a partitioning scheme that enables a set of gang tasks to be efficiently assigned and scheduled among multiple clusters.
The Play’s the Thing: Experimentally Examining the Social and Cognitive Effects of School Field Trips to Live Theater Performances:

Field trips to see theater performances are a long-standing educational practice; however, there is little systematic evidence demonstrating educational benefits. This article describes the results...
Random forest based similarity learning for single cell RNA sequencing data.

Motivation Genome-wide transcriptome sequencing applied to single cells (scRNA-seq) is rapidly becoming an assay of choice across many fields of biological and biomedical research. Scientific objectives often revolve around discovery or characterization of types or sub-types of cells, and therefore, obtaining accurate cell-cell similarities from scRNA-seq data is a critical step in many studies. While rapid advances are being made in the development of tools for scRNA-seq data analysis, few approaches exist that explicitly address this task. Furthermore, abundance and type of noise present in scRNA-seq datasets suggest that application of generic methods, or of methods developed for bulk RNA-seq data, is likely suboptimal. Results Here, we present RAFSIL, a random forest based approach to learn cell-cell similarities from scRNA-seq data. RAFSIL implements a two-step procedure, where feature construction geared towards scRNA-seq data is followed by similarity learning. It is designed to be adaptable and expandable, and RAFSIL similarities can be used for typical exploratory data analysis tasks like dimension reduction, visualization and clustering. We show that our approach compares favorably with current methods across a diverse collection of datasets, and that it can be used to detect and highlight unwanted technical variation in scRNA-seq datasets in situations where other methods fail. Overall, RAFSIL implements a flexible approach yielding a useful tool that improves the analysis of scRNA-seq data. Availability and implementation The RAFSIL R package is available at www.kostkalab.net/software.html. Supplementary information Supplementary data are available at Bioinformatics online.
Perioperative Outcomes are Adversely Affected by Poor Pretransfer Adherence to Acute Limb Ischemia Practice Guidelines.

Background The accepted treatment for acute limb ischemia (ALI) is immediate systemic anticoagulation and timely reperfusion to restore blood flow. In this study, we describe the retrospective assessment of pretransfer management decisions by referring hospitals to an academic tertiary care facility and its impact on perioperative adverse events. Methods A retrospective analysis of ALI patients transferred to us via our Level I Vascular Emergency Program from 2010 to 2013 was performed. Patient demographics, comorbidities, Rutherford ischemia classification, time to anticoagulation, and time to reperfusion were tabulated and analyzed for correlation to incidence of major adverse limb events (MALEs), mortality, and bypass patency in the perioperative period (30-day postoperative). All intervals were calculated from the onset of symptoms and categorized into 3 subcohorts ( 48 hr). Results Eighty-seven patients with an average age of 64.0 (±16.2) years presented to outlying hospitals and were transferred to us with lower extremity ALI. The mean delay from symptom onset to initial referring physician evaluation was 18.3 hr. At that time of evaluation, 53.8% had Rutherford class IIA ischemia and 36.3% had class IIB ischemia. Seventy-six patients (87.4%) were started on heparin previous to transfer. However, only 44 patients (57.9%) reached therapeutic levels as measured by activated partial thromboplastin time before definitive revascularization. A delay of anticoagulation initiation >48 hr from symptom onset was associated with increased 30-day reintervention rates compared with the Conclusions The practice of timely therapeutic anticoagulation of patients referred for ALI from community facilities occurs less frequently than expected and is associated with an increased perioperative reintervention rate.
The Role of Market Evolution in Channel Contracting

Real markets evolve over time. They often exhibit complex behaviors, such as autocorrelation, continuity, and nonstationarity. How do these behaviors affect channel contracting? We study the proble...
Practical Aspects of the Frequency Domain Approach for Aircraft System Identification

Practical aspects of the frequency-domain approach for aircraft system identification are explained and demonstrated. Topics related to experiment design, flight data analysis, and dynamic modeling are included. For demonstration purposes, simulated time series data and simulated flight data from an F-16 nonlinear simulation with realistic noise are used. This approach enables detailed evaluations of the techniques and results, because the true characteristics of the data and aircraft dynamics are known for the simulated data. Analytical techniques and practical considerations are examined for the finite Fourier transform, nonparametric frequency response estimation, parametric modeling in the frequency domain, experiment design for frequency-domain modeling, data analysis and modeling in the frequency domain, and real-time calculations. Flight data from a subscale jet transport aircraft are used to demonstrate some of the techniques and technical issues.
Evaluating author name disambiguation for digital libraries: a case of DBLP

Author name ambiguity in a digital library may affect the findings of research that mines authorship data of the library. This study evaluates author name disambiguation in DBLP, a widely used but insufficiently evaluated digital library for its disambiguation performance. In doing so, this study takes a triangulation approach that author name disambiguation for a digital library can be better evaluated when its performance is assessed on multiple labeled datasets with comparison to baselines. Tested on three types of labeled data containing 5000 to 6 M disambiguated names, DBLP is shown to assign author names quite accurately to distinct authors, resulting in pairwise precision, recall, and F1 measures around 0.90 or above overall. DBLP’s author name disambiguation performs well even on large ambiguous name blocks but deficiently on distinguishing authors with the same names. Compared to other disambiguation algorithms, DBLP’s disambiguation performance is quite competitive, possibly due to its hybrid disambiguation approach combining algorithmic disambiguation and manual error correction. A discussion follows on strengths and weaknesses of labeled datasets used in this study for future efforts to evaluate author name disambiguation on a digital library scale.
On the Nernst–Planck–Navier–Stokes system

We consider ionic electrodiffusion in fluids, described by the Nernst–Planck–Navier–Stokes system in bounded domains, in two dimensions, with Dirichlet boundary conditions for the Navier–Stokes and Poisson equations, and blocking (vanishing normal flux) or selective (Dirichlet) boundary conditions for the ionic concentrations. We prove global existence and stability results for large data.
The Orbital Light Curve of Aquila X-1

We obtained R- and I-band CCD photometry of the soft X-ray transient/neutron-star binary Aql X-1 in 1998 June while it was at quiescence. We find that its light curve is dominated by ellipsoidal variations, although the ellipsoidal variations are severely distorted and have unequal maxima. After we correct for the contaminating flux from a field star located only 046 away, the peak-to-peak amplitude of the modulation is ≈0.25 mag in the R band, which requires the orbital inclination to be greater than 36°. The orbital period we measure is consistent with the 18.95 hr period measured by Chevalier & Ilovaisky. During its outbursts the light curve of Aql X-1 becomes single-humped. The outburst light curve observed by Garcia et al. agrees in phase with our quiescent light curve. We show that the single-humped variation is caused by a "reflection effect," that is, by heating of the side of the secondary star facing toward the neutron star.
Labor Market Adjustment to Third Party Competition: Evidence from Mexico

Chinaâs exports reduce wages in importing countries, but few studies have looked at competition in third party markets. We examine labor market outcomes in Mexico's apparel and textile sectors associated with U.S. apparel and textile imports from China. Using the Bartik (1991) approach, we find that U.S. imports from China are associated with a reduction of wages and employment in Mexicoâs textile and apparel sector. Our results suggest that the adjustment to falling labor demand had larger effects on employment, which is consistent with relatively small firm-level employment adjustment costs, and that low-wage workers are more tied to local markets.
Latent consequences of early-life lead (Pb) exposure and the future: Addressing the Pb crisis.

Abstract Background. The lead (Pb) exposure crisis in Flint, Michigan has passed from well-publicized event to a footnote, while its biological and social impact will linger for lifetimes. Interest in the “water crisis” has dropped to pre-event levels, which is neither appropriate nor safe. Flint’s exposure was severe, but it was not unique. Problematic Pb levels have also been found in schools and daycares in 42 states in the USA. The enormity of Pb exposure via municipal water systems requires multiple responses. Herein, we focus on addressing a possible answer to long-term sequelae of Pb exposure. We propose “4R’s” (remediation, renovation, reallocation, and research) against the Pb crisis that goes beyond a short-term fix. Remediation for affected individuals must continue to provide clean water and deal with both short and long-term effects of Pb exposure. Renovation of current water delivery systems, at both system-wide and individual site levels, is necessary. Reallocation of resources is needed to ensure these two responses occur and to get communities ready for potential sequelae of Pb exposure. Finally, properly focused research can track exposed individuals and illuminate latent (presumably epigenetic) results of Pb exposure and inform further resource reallocation. Conclusion. Motivation to act by not only the general public but also by scientific and medical leaders must be maintained beyond initial news cycle spikes and an annual follow-up story. Environmental impact of Pb contamination of drinking water goes beyond one exposure incident in an impoverished and forgotten Michigan city. Population effects must be addressed long-term and nationwide.
Perception-Driven Sparse Graphs for Optimal Motion Planning

Most existing motion planning algorithms assume that a map (of some quality) is fully determined prior to generating a motion plan. In many emerging applications of robotics, e.g., fast-moving agile aerial robots with constrained embedded computational platforms and visual sensors, dense maps of the world are not immediately available, and they are computationally expensive to construct. We propose a new algorithm for generating plan graphs which couples the perception and motion planning processes for computational efficiency. In a nutshell, the proposed algorithm iteratively switches between the planning sub-problem and the mapping sub-problem, each updating based on the other until a valid trajectory is found. The resulting trajectory retains a provable property of providing an optimal trajectory with respect to the full (unmapped) environment, while utilizing only a fraction of the sensing data in computational experiments.
What Is the Alternative Hypothesis to Market Efficiency

1. Bradford Cornell 1. is a professor of financial economics at the California Institute of Technology in Pasadena, CA. (bcornell{at}caltech.edu) 1. To order reprints of this article, please contact David Rowe at d.rowe{at}pageantmedia.com or 646-891-2157. On repeated occasions
Natural language indexing for pedoinformatics

Abstract The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in non-quantitative text descriptions. We present initial text mining analyses of parsed text in the digitally available USDA soil taxonomy documentation and the Soil Survey Geographic database. Previous research has shown that latent information structure can be extracted from scientific literature using Natural Language Processing techniques, and we show that this latent information can be used to expedite query performance by using syntactic elements and part-of-speech tags as indices. Technical vocabulary often poses a text mining challenge due to the rarity of its diction in the broader context. We introduce an extension to the common English vocabulary that allows for nearly-complete indexing of USDA Soil Series Descriptions.
Formalization of the Fundamental Group in Untyped Set Theory Using Auto2

We present a new framework for formalizing mathematics in untyped set theory using auto2. Using this framework, we formalize in Isabelle/FOL the entire chain of development from the axioms of set theory to the definition of the fundamental group for an arbitrary topological space. The auto2 prover is used as the sole automation tool, and enables succinct proof scripts throughout the project.
The Continuity Equation, Hermitian Metrics and Elliptic Bundles

We extend the continuity equation of La Nave–Tian to Hermitian metrics and establish its interval of maximal existence. The equation is closely related to the Chern–Ricci flow, and we illustrate this in the case of elliptic bundles over a curve of genus at least two.
The Effects of Demography and Genetics on the Neutral Distribution of Quantitative Traits.

Neutral models for quantitative trait evolution are useful for identifying phenotypes under selection. These models often assume normally distributed phenotypes. This assumption may be violated when a trait is affected by relatively few variants or when the effects of those variants arise from skewed or heavy tailed distributions. Molecular phenotypes such as gene expression levels may have these properties. To accommodate deviations from normality, models making fewer assumptions about the underlying genetics and patterns of variation are needed. Here, we develop a general neutral model for quantitative trait variation using a coalescent approach. This model allows interpretation of trait distributions in terms of familiar population genetic parameters because it is based on the coalescent. We show how the normal distribution resulting from the infinitesimal limit, where the number of loci grows large as the effect size per mutation becomes small, depends only on expected pairwise coalescent times. We then demonstrate how deviations from normality depend on demography through the distribution of coalescence times as well as through genetic parameters. In particular, population growth events exacerbate deviations while bottlenecks reduce them. We demonstrate the practical applications of this model by showing how to sample from the neutral distribution of Q S T , the ratio of the variance between subpopulations to that in the overall population. We further show it is likely impossible to distinguish sparsity from skewed or heavy tailed mutational effects using only sampled trait values. The model analyzed here greatly expands the parameter space for neutral trait models.
Economic and technical viability of integral passives

Integral substrates (printed wiring boards with buried capacitors and/or resistors) can lower costs, improve component density, improve performance and reliability. Integral substrates are economically and technically viable for replacing a large portion of the ceramic chip capacitors used for decoupling and resistor chips and networks used for termination, pull-up and pull-down. However, passive integration is easier said than done. Integral substrates require new design and test systems, manufacturing processes and materials. Further investigation concludes that stable, low cost materials and processes, design and test systems are only half the equation. In order for this technology to reach its full market potential, time-to-market issues such as rapid prototyping and engineering changes must be solved.
A map of the inorganic ternary metal nitrides

Exploratory synthesis in new chemical spaces is the essence of solid-state chemistry. However, uncharted chemical spaces can be difficult to navigate, especially when materials synthesis is challenging. Nitrides represent one such space, where stringent synthesis constraints have limited the exploration of this important class of functional materials. Here, we employ a suite of computational materials discovery and informatics tools to construct a large stability map of the inorganic ternary metal nitrides. Our map clusters the ternary nitrides into chemical families with distinct stability and metastability, and highlights hundreds of promising new ternary nitride spaces for experimental investigation-from which we experimentally realized seven new Zn- and Mg-based ternary nitrides. By extracting the mixed metallicity, ionicity and covalency of solid-state bonding from the density functional theory (DFT)-computed electron density, we reveal the complex interplay between chemistry, composition and electronic structure in governing large-scale stability trends in ternary nitride materials.
Risks and Rewards of Advanced Practice Providers in Cardiothoracic Surgery Training: National Survey.

Background Changes in healthcare have led to increasing use of advanced practice providers (APPs), but their role in cardiothoracic surgery (CTS) education remains undefined. This study aimed to analyze the extent of APP use on the CTS team, their role within the hierarchy of clinical care, and the impact of physician extenders on CTS training from the resident perspective. Methods CTS residents’ responses to the 2017 Thoracic Surgery Residents Association/Thoracic Surgery Directors Association In-Service Training Examination survey regarding the role of APPs in specific clinical scenarios and perception of APP contribution to residents’ educational environment were analyzed. Statistical analysis of categorical variables was performed in SPSS (version 22.0; IBM, Chicago, IL) using a Fisher’s exact test and Pearson χ2 test with statistical significance set at p Results Response rate was 82.1% (280/341). The median number of employed APPs was 16 to 20, and 50.4% (n = 141) reported 11 to 25 physician extenders at their institution. The median numbers of APPs in the operating room, floor, and intensive care unit were three, three, and two, respectively. Overall impression of APPs was positive in 87.5% (n = 245) of respondents, with 47.7% (n = 133) “very positive” and 40.1% “positive” (n = 112). In general, residents reported greater resident involvement in postoperative issues and operative consults and greater APP involvement in floor issues; 72.5% of residents had not missed a surgical opportunity due to APPs, whereas 9.6% missed an opportunity due to APPs despite being at an appropriate level of training. Of those that reported missed opportunities 44% were integrated thoracic surgery residents. There were no significant differences in APPs’ operative role based on resident seniority. Conclusions The overall impression of APPs among CTS residents was favorable, and they are more commonly involved in assisting on the floor or the operating room. Occasionally residents reported missing a surgical opportunity due to APPs. There is further opportunity to optimize and standardize their role within programs to improve clinical outcomes and enhance the CTS educational experience for residents.
Is Simplicity the Ultimate Sophistication? The Superiority of Linear Pricing

We consider a supply chain with a supplier selling products to a retailer who is boundedly rational. The retailer’s orders are randomly distributed around the optimal order quantity. We develop a behavioral model which incorporates human retailers’ bounded rationality in the supplier’s contractual decisions. In contrast to a supply chain with a fully rational retailer, where a wholesale price contract usually cannot outperform more complicated nonlinear contracts, we find that when the retailer is boundedly rational a wholesale price contract can dominate commonly used nonlinear contracts, such as buyback and revenue sharing contracts, in terms of a supplier’s profit and supply chain profit. We characterize the conditions under which a wholesale price contract outperforms more sophisticated nonlinear contracts for the supplier. In particular, we show that a wholesale price contract is more likely to be implemented by the supplier when the supply chain profit margin is low, the retailer is less rational, the demand variance is large, and the retailer’s reservation value is high. We then conduct a series of laboratory experiments to test whether the behavioral model’s predictions are still salient even when the supplier is not necessarily rational. Our results provide an explanation for the prevalence of wholesale price contracts in business practice where the rationality of a retailer cannot always be guaranteed. We also find that a retailer’s bounded rationality plays a more important role in determining supply chain profit than a supplier’s bounded rationality.
Correctness and Performance for Stateful Chained Network Functions

Network functions virtualization (NFV) allows operators to employ NF chains to realize custom policies, and dynamically add instances to meet demand or for failover. NFs maintain detailed per- and cross-flow state which needs careful management, especially during dynamic actions. Crucially, state management must: (1) ensure NF chain-wide correctness and (2) have good performance. To this end, we built \name, an NFV framework that leverages an external state store coupled with state management algorithms and metadata maintenance for correct operation even under a range of failures. Our evaluation shows that CHC can support ~10Gbps per-NF throughput and <0.6mus increase in median per-NF packet processing latency, and chain-wide correctness at little additional cost.
Time-dependent Ginzburg–Landau model for light-induced superconductivity in the cuprate LESCO

Cavalleri and coworkers have discovered evidence of light-induced superconductivity and related phenomena in several different materials. Here, we suggest that some features may be naturally interpreted using a time-dependent Ginzburg–Landau model. In particular, we focus on the lifetime of the transient state in La1.675Eu0.2Sr0.125CuO4 (LESCO1∕8), which is remarkably long below about 25 K, but exhibits different behavior at higher temperature.
Constraints on Gravitation from Causality and Quantum Consistency

We examine the role of consistency with causality and quantum mechanics in determining the properties of gravitation. We begin by examining two different classes of interacting theories of massless spin 2 particles—gravitons. One involves coupling the graviton with the lowest number of derivatives to matter, the other involves coupling the graviton with higher derivatives to matter, making use of the linearized Riemann tensor. The first class requires an infinite tower of terms for consistency, which is known to lead uniquely to general relativity. The second class only requires a finite number of terms for consistency, which appears as another class of theories of massless spin 2. We recap the causal consistency of general relativity and show how this fails in the second class for the special case of coupling to photons, exploiting related calculations in the literature. In a companion paper Hertzberg and Sandora (2017), this result is generalized to a much broader set of theories. Then, as a causal modification of general relativity, we add light scalar particles and recap the generic violation of universal free-fall they introduce and its quantum resolution. This leads to a discussion of a special type of scalar-tensor theory: the models. We show that, unlike general relativity, these models do not possess the requisite counterterms to be consistent quantum effective field theories. Together this helps to remove some of the central assumptions made in deriving general relativity.
Survey on secure search over encrypted data on the cloud

Cloud computing has become a potential resource for businesses and individuals to outsource their data to remote but highly accessible servers. However, potentials of the cloud services have not been fully unleashed due to users' concerns about security and privacy of their data in the cloud. User-side encryption techniques can be employed to mitigate the security concerns. Nonetheless, once the data in encrypted, no processing (e.g., searching) can be performed on the outsourced data. Searchable Encryption (SE) techniques have been widely studied to enable searching on the data while they are encrypted. These techniques enable various types of search on the encrypted data and offer different levels of security. In addition, although these techniques enable different search types and vary in details, they share similarities in their components and architectures. In this paper, we provide a comprehensive survey on different secure search techniques; a high-level architecture for these systems, and an analysis of their performance and security level.
Steven A. Weber and the Birth of the Society of Ethnobiology

The origin and early history of the Journal of Ethnobiology and Society of Ethnobiology in Arizona in the late 1970s and early 1980s are reviewed in respect to the contributions of Steven A. Weber. The roles of Lyndon Hargrave, James Stuckey, and Prescott Center College in this history are documented, along with the events leading to the incorporation of the non-profit Society of Ethnobiology in 1981. Steven Weber became the first President of the Society and remained active in Society meetings and business throughout his career. The Society continues to grow and expand, with new publications established in recent years. The Journal also remains strong and is now published quarterly. Steve Weber's support and involvement in the Society and the field of ethnobiology over the past four decades has left a lasting legacy that will continue to influence students and professionals for many more decades to come.
Medium-Voltage Impedance Measurement Unit for Assessing the System Stability of Electric Ships

This paper describes the design and implementation of the first medium-voltage impedance measurement unit (IMU) capable of characterizing in-situ source and load impedances of dc and ac networks (4160 V ac, 6000 V dc, 300 A, 2.2 MVA) in the frequency range of 0.1 Hz - 1 kHz. The IMU comprises of three power electronics building blocks (PEBBs), each built using 10kV SiC MOSFET H-bridges. The modularity of the PEBBs allows for both series and shunt perturbation injection modes to be realized, as both injection modes are needed to accurately predict the stability of the electrical system. The effectiveness of the proposed impedance identification approach is experimentally verified on medium voltage power grid.
Experimental Investigation of Fluid–Structure Interaction Phenomena During Aircraft Ditching

This Paper presents some of the most significant results of extensive experimental campaigns performed with the aim of achieving a deeper understanding of the physical phenomena involved in the air...
THE ROLES OF INSTITUTIONAL INVESTORS IN THE FAILURE OF NEWLY PUBLIC STOCKS

In this article, we study two negative events that can happen to newly public stocks: (1) the price drops at least 50% from the closing price on the first trading date within one year after the initial public offering (IPO) (initial failure) and (2) the firm is delisted for negative reasons within three years after the IPO (final failure). We find that high investor sentiment at the time of IPO can lead to both initial failure and final failure of IPO firms, whereas monitoring by external professionals plays a more important role in averting final failure than initial failure. Exploring the roles of different types of institutional investors, we find that transient (i.e., short-term trading) institutions sell before initial failure. In contrast, dedicated (i.e., monitoring) institutions focus on long-term performance and may stay with stocks suffering temporary initial failure, but their selling typically signals the imminent final failure of newly public firms.
Automation and New Tasks: How Technology Displaces and Reinstates Labor

We present a framework for understanding the effects of automation and other types of technological changes on labor demand, and use it to interpret changes in US employment over the recent past. At the center of our framework is the allocation of tasks to capital and labor—the task content of production. Automation, which enables capital to replace labor in tasks it was previously engaged in, shifts the task content of production against labor because of a displacement effect. As a result, automation always reduces the labor share in value added and may reduce labor demand even as it raises productivity. The effects of automation are counterbalanced by the creation of new tasks in which labor has a comparative advantage. The introduction of new tasks changes the task content of production in favor of labor because of a reinstatement effect, and always raises the labor share and labor demand. We show how the role of changes in the task content of production—due to automation and new tasks—can be inferred from industry-level data. Our empirical decomposition suggests that the slower growth of employment over the last three decades is accounted for by an acceleration in the displacement effect, especially in manufacturing, a weaker reinstatement effect, and slower growth of productivity than in previous decades.
Detection of influenza virus by electrochemical surface plasmon resonance under potential modulation

In this study we report the development of a novel viral pathogen immunosensor technology based on the electrochemical modulation of the optical signal from a surface plasmon wave interacting with a redox dye reporter. The device is formed by incorporating a sandwich immunoassay onto the surface of a plasmonic device mounted in a micro-electrochemical flow cell, where it is functionalized with a monoclonal antibody aimed to a specific target pathogen antigen. Once the target antigen is bound to the surface, it promotes the capturing of a secondary polyclonal antibody that has been conjugated with a redox-active methylene blue dye. The methylene blue displays a reversible change in the complex refractive index throughout a reduction-oxidation transition, which generates an optical signal that can be electrochemically modulated and detected at high sensitivity. For proof-of-principle measurements, we have targeted the hemagglutinin protein from the H5N1 avian influenza A virus to demonstrate the capabilities of our device for detection and quantification of a critical influenza antigen. Our experimental results of the EC-SPR-based immunosensor under potential modulation showed a 300 pM limit of detection for the H5N1 antigen.
Artificial synesthesia via sonification: a wearable augmented sensory system

A design for an implemented, prototype wearable artificial sensory system is presented, which uses data sonification to compensate for normal limitations in the human visual system. The system gives insight into the complete visible-light spectra from objects being seen by the user. Long-term wear and consequent training might lead to identification of various visually-indistinguishable materials based on the sounds of their spectra. A detailed system design and results of user testing are presented, and many possible extensions to both the sonification and the sensor package are discussed.
Selection mechanisms affect volatility in evolving markets

Financial asset markets are sociotechnical systems whose constituent agents are subject to evolutionary pressure as unprofitable agents exit the marketplace and more profitable agents continue to trade assets. Using a population of evolving zero-intelligence agents and a frequent batch auction price-discovery mechanism as substrate, we analyze the role played by evolutionary selection mechanisms in determining macro-observable market statistics. Specifically, we show that selection mechanisms incorporating a local fitness-proportionate component are associated with high correlation between a micro, risk-aversion parameter and a commonly-used macro-volatility statistic, while a purely quantile-based selection mechanism shows significantly less correlation and is associated with higher absolute levels of fitness (profit) than other selection mechanisms. These results point the way to a possible restructuring of market incentives toward reduction in market-wide worst performance, leading profit-driven agents to behave in ways that are associated with beneficial macro-level outcomes.
Benzophenone Schiff bases of glycine derivatives: Versatile starting materials for the synthesis of amino acids and their derivatives

Abstract This review focuses on the introduction and early development, in solution, of phase-transfer catalyzed (PTC) reactions to afford racemic or enantioenriched natural and unnatural amino acids. To form monosubstituted amino acids alkylation reactions are performed on the benzophenone Schiff base of glycine. For α,α-disubstituted amino acids the activated intermediate is an aldimine derivative of the monosubstituted amino acid. Enantioenriched products are produced by organocatalysis using derivatives of Cinchona alkaloids as the phase-transfer catalyst. Selectivity for monoalkylatation and lack of product racemization depend on the acidities of the glycine imines, and dialkylated products are formed from aldimine esters of monoalkyl amino acids. The racemic and catalytic enantioselective reactions of a cationic glycine equivalent with organoboranes, organometallics and malonate anion are discussed as are other reactions of these versatile Schiff bases derivatives.
Nonuniform Contribution of Internal Variability to Recent Arctic Sea Ice Loss

AbstractOver the last half century, the Arctic sea ice cover has declined dramatically. Current estimates suggest that, for the Arctic as a whole, nearly one-half of the observed loss of summer sea...
Near-universal hospitalization of US emergency department patients with cancer and febrile neutropenia.

Importance Febrile neutropenia (FN) is the most common oncologic emergency and is among the most deadly. Guidelines recommend risk stratification and outpatient management of both pediatric and adult FN patients deemed to be at low risk of complications or mortality, but our prior single-center research demonstrated that the vast majority (95%) are hospitalized. Objective From a nationwide perspective, to determine the proportion of cancer patients of all ages hospitalized after an emergency department (ED) visit for FN, and to analyze variability in hospitalization rates. Our a priori hypothesis was that >90% of US cancer-associated ED FN visits would end in hospitalization. Design Analysis of data from the Nationwide Emergency Department Sample, 2006-2014. Setting Stratified probability sample of all US ED visits. Participants Inclusion criteria were: (1) Clinical Classification Software code indicating cancer, (2) diagnostic code indicating fever, and (3) diagnostic code indicating neutropenia. We excluded visits ending in transfer. Exposure The hospital at which the visit took place. Main outcomes and measures Our main outcome is the proportion of ED FN visits ending in hospitalization, with an a priori hypothesis of >90%. Our secondary outcomes are: (a) hospitalization rates among subsets, and (b) proportion of variability in the hospitalization rate attributable to which hospital the patient visited, as measured by the intra-class correlation coefficient (ICC). Results Of 348,868 visits selected to be representative of all US ED visits, 94% ended in hospitalization (95% Confidence Interval [CI] 93-94%). Each additional decade of age conferred 1.23x increased odds of hospitalization. Those with private (92%), self-pay (92%), and other (93%) insurance were less likely to be hospitalized than those with public insurance (95%, odds ratios [OR] 0.74-0.76). Hospitalization was least likely at non-metropolitan hospitals (84%, OR 0.15 relative to metropolitan teaching hospitals), and was also less likely at metropolitan non-teaching hospitals (94%, OR 0.64 relative to metropolitan teaching hospitals). The ICC adjusted for hospital random effects and patient and hospital characteristics was 26% (95%CI 23-29%), indicating that 26% of the variability in hospitalization rate was attributable to which hospital the patient visited. Conclusions and relevance Nearly all cancer-associated ED FN visits in the US end in hospitalization. Inter-hospital variation in hospitalization practices explains 26% of the limited variability in hospitalization decisions. Simple, objective tools are needed to improve risk stratification for ED FN patients.