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This study examines data from the California EMS Information System (CEMSIS) to identify factors that influence prehospital time for EMS events related to motor vehicle collisions (MVCs). While only 19 percent of the United States population resides in rural areas, over half of all traffic fatalities involve rural motor vehicle collisions. Rural and urban MVCs result in similar injury severities, however relative inaccessibility of trauma centers and prehospital EMS time (activation, response, and transport time) likely contribute to the generally higher mortality rate in rural areas. For the present study, 24 CEMSIS data variables were requested, many of which involved missing data, which severely restricted the potential analysis of the impact of EMS response times. However, the findings did show that average overall EMS time (including response, scene and transport time) were approximately twice as long for collisions in rural zip codes compared with urban zip codes. Several limitations influence the interpretation of these results. Data on prehospital EMS times is missing for much of the state—even for zip codes with records of EMS events, data is likely incomplete. In addition, zip code level location data is insufficient for adequate study of the effects of the built environment and road network on prehospital time. Furthermore, according to the National EMS Information System (NEMSIS) User Manual, the national dataset suffers from selection and information bias, which are likely also present in the CEMSIS data. Although the present study cannot analyze the effect of longer prehospital times on patient outcome, other research has found that longer prehospital times may negatively impact patient health. Recommendations for reducing time from injury to appropriate medical care in rural areas include improving cell phone coverage, compliance of rural 911 center with FCC wireless, use of GPS technology, and integration of automatic vehicle location and computer aided navigation technologies into all computer-aided dispatch systems. In addition, CEMSIS should improve the coverage of their dataset and ensure that all EMS activities are recorded. To expand the type of analyses that can be conducted using CEMSIS data, EMS records must include fields that allow them to be linked to hospital and police datasets. When such data becomes available, research must be conducted to determine whether prehospital time is significantly related to patient outcome following motor vehicle collisions.

The Great Andromeda Galaxy (M31) is the nexus of the near-far galaxyevolution connection and a principal data point for near-field cosmology. Dueto its proximity (780 kpc), M31 can be resolved into individual stars like theMilky Way (MW). Unlike the MW, we have the advantage of a global view of M31,enabling M31 to be observed with techniques that also apply to more distantgalaxies. Moreover, recent evidence suggests that M31 may have survived a majormerger within the last several Gyr, shaping the morphology of its stellar haloand triggering a starburst, while leaving the stellar disk largely intact. TheMW and M31 thus provide complementary opportunities for in-depth studies of thedisks, halos, and satellites of L* galaxies. Our understanding of the M31 system will be transformed in the 2020s if theyinclude wide field facilities for both photometry (HST-like sensitivity andresolution) and spectroscopy (10-m class telescope, >1 sq. deg. field, highlymultiplexed, R~ 3000 to 6000). We focus here on the power of these facilitiesto constrain the past, present, and future merger history of M31, viachemo-dynamical analyses and star formation histories of phase-mixed starsaccreted at early times, as well as stars in surviving tidal debris features,M31's extended disk, and intact satellite galaxies that will eventually betidally incorporated into the halo. This will yield an unprecedented view ofthe hierarchical formation of the M31 system and the subhalos that built itinto the L* galaxy we observe today.

We measure the effects of six citywide minimum wages that ranged up to $13 in Chicago, the District of Columbia, Oakland, San Francisco, San Jose and Seattle, employing event study and synthetic control methods. Using aggregate data on average earnings and employment in the food services industry, we find significantly positive earnings increases and no significant employment losses. While such evidence suggests the policies raised the earnings of low-wage workers, as intended, a competing explanation is that the industry responds to wage increases by increasing their demand for more productive higher-wage workers, offsetting low-wage layoffs (i.e., labor-labor substitution). To tackle this key question, we present a theoretical framework that connects the responses estimated at the industry-level to the own- and cross-wage labor demand elasticities that summarize the total effect of the policies on workers. Using a calibration exercise, we find that the combination of average earnings gains and constant employment cannot be produced by labor-labor substitution unless there are also effects on hours. To test whether the minimum wage increases demand for higher-wage workers or reduces low-wage workers’ hours, we examine the effects of California’s recent state and local minimum wage policies on the food services industry. There we find no evidence of labor-labor substitution or hours responses. Thus, the most likely explanation for the responses we find in the cities is that the industry’s demand for low-wage workers is inelastic, and the policies raised their earnings.

Midlife mortality has risen steadily in the U.S. since the 1990s for non-Hispanic whites without a bachelor’s degree, and since 2013 for Hispanics and African-Americans who lack a bachelor’s degree. These increases largely reflect increased mortality from alcohol poisoning, drug overdose and suicide. We investigate whether these “deaths of despair” trends have been mitigated by two key policies aimed at raising incomes for low wage workers: the minimum wage and the earned income tax credit (EITC). To do so, we leverage state variation in policies over time to estimate difference-in-differences models of drug overdose deaths and suicides, using data on cause-specific mortality rates from 1999-2015. Our causal models find no significant effects of the minimum wage and EITC on drug-related mortality. However, higher minimum wages and EITCs significantly reduce non-drug suicides. A 10 percent increase in the minimum wage reduces non-drug suicides among adults with high school or less by 3.6 percent; a 10 percent increase in the EITC reduces suicides among this group by 5.5 percent. Our estimated models do not find significant effects for a college-educated placebo sample. Event-study models confirm parallel pre-trends, further supporting the validity of our causal research design. Our estimates suggest that increasing both the minimum wage and the EITC by 10 percent would likely prevent a combined total of around 1230 suicides each year.

Nearly a century after the discovery that we live in an expanding Universe,and two decades after the discovery of accelerating cosmic expansion, thereremains no direct detection of this acceleration via redshift drift - a changein the cosmological expansion velocity versus time. Because cosmologicalredshift drift directly determines the Hubble parameter H(z), it is arguablythe cleanest possible measurement of the expansion history, and has thepotential to constrain dark energy models (e.g. Kim et al. 2015). The challengeis that the signal is small - the best observational constraint presently hasan uncertainty several orders of magnitude larger than the expected signal(Darling 2012). Nonetheless, direct detection of redshift drift is becomingfeasible, with upcoming facilities such as the ESO-ELT and SKA projectingpossible detection within two to three decades. This timescale is uncomfortablylong given the potential of this cosmological test. With dedicated experimentsit should be possible to rapidly accelerate progress and detect redshift driftwith only a five-year observational baseline. Such a facility would also beideal for precision radial velocity measurements of exoplanets, which could beobtained as a byproduct of the ongoing calibration measurements for theexperiment.

Motivated by the need to predict how the Arctic atmosphere will change in a warming world, this article summarizes recent advances made by the research consortium NETCARE (Network on Climate and Aerosols: Addressing Key Uncertainties in Remote Canadian Environments) that contribute to our fundamental understanding of Arctic aerosol particles as they relate to climate forcing. The overall goal of NETCARE research has been to use an interdisciplinary approach encompassing extensive field observations and a range of chemical transport, earth system, and biogeochemical models. Several major findings and advances have emerged from NETCARE since its formation in 2013. (1) Unexpectedly high summertime dimethyl sulfide (DMS) levels were identified in ocean water (up to 75 nM) and the overlying atmosphere (up to 1 ppbv) in the Canadian Arctic Archipelago (CAA). Furthermore, melt ponds, which are widely prevalent, were identified as an important DMS source (with DMS concentrations of up to 6 nM and a potential contribution to atmospheric DMS of 20 % in the study area). (2) Evidence of widespread particle nucleation and growth in the marine boundary layer was found in the CAA in the summertime, with these events observed on 41 % of days in a 2016 cruise. As well, at Alert, Nunavut, particles that are newly formed and grown under conditions of minimal anthropogenic influence during the months of July and August are estimated to contribute 20 % to 80 % of the 30-50 nm particle number density. DMS-oxidation-driven nucleation is facilitated by the presence of atmospheric ammonia arising from seabird-colony emissions, and potentially also from coastal regions, tundra, and biomass burning. Via accumulation of secondary organic aerosol (SOA), a significant fraction of the new particles grow to sizes that are active in cloud droplet formation. Although the gaseous precursors to Arctic marine SOA remain poorly defined, the measured levels of common continental SOA precursors (isoprene and monoterpenes) were low, whereas elevated mixing ratios of oxygenated volatile organic compounds (OVOCs) were inferred to arise via processes involving the sea surface microlayer. (3) The variability in the vertical distribution of black carbon (BC) under both springtime Arctic haze and more pristine summertime aerosol conditions was observed. Measured particle size distributions and mixing states were used to constrain, for the first time, calculations of aerosol-climate interactions under Arctic conditions. Aircraft- and ground-based measurements were used to better establish the BC source regions that supply the Arctic via long-range transport mechanisms, with evidence for a dominant springtime contribution from eastern and southern Asia to the middle troposphere, and a major contribution from northern Asia to the surface. (4) Measurements of ice nucleating particles (INPs) in the Arctic indicate that a major source of these particles is mineral dust, likely derived from local sources in the summer and long-range transport in the spring. In addition, INPs are abundant in the sea surface microlayer in the Arctic, and possibly play a role in ice nucleation in the atmosphere when mineral dust concentrations are low. (5) Amongst multiple aerosol components, BC was observed to have the smallest effective deposition velocities to high Arctic snow (0.03 cm s1).

The Carnegie Supernova Project-II (CSP-II) was an NSF-funded, four-year program to obtain optical and near-infrared observations of a “Cosmology” sample of ∼100 TypeIa supernovae located in the smooth Hubble flow (0.03

The recent pace, extent, and impact of paradigm-changing cancer prevention science has been remarkable. The American Association for Cancer Research (AACR) convened a 3-day summit, aligned with five research priorities: (i) Precancer Atlas (PCA). (ii) Cancer interception. (iii) Obesity-cancer linkage, a global epidemic of chronic low-grade inflammation. (iv) Implementation science. (v) Cancer disparities. Aligned with these priorities, AACR co-led the Lancet Commission to formally endorse and accelerate the NCI Cancer Moonshot program, facilitating new global collaborative efforts in cancer control. The expanding scope of creative impact is perhaps most startling-from NCI-funded built environments to AACR Team Science Awarded studies of Asian cancer genomes informing global primary prevention policies; cell-free epigenetic marks identifying incipient neoplastic site; practice-changing genomic subclasses in myeloproliferative neoplasia (including germline variant tightly linked to JAK2 V617F haplotype); universal germline genetic testing for pancreatic cancer; and repurposing drugs targeting immune- and stem-cell signals (e.g., IL-1β, PD-1, RANK-L) to cancer interception. Microbiota-driven IL-17 can induce stemness and transformation in pancreatic precursors (identifying another repurposing opportunity). Notable progress also includes hosting an obesity special conference (connecting epidemiologic and molecular perspectives to inform cancer research and prevention strategies), co-leading concerted national implementation efforts in HPV vaccination, and charting the future elimination of cancer disparities by integrating new science tools, discoveries and perspectives into community-engaged research, including targeted counter attacks on e-cigarette ad exploitation of children, Hispanics and Blacks. Following this summit, two unprecedented funding initiatives were catalyzed to drive cancer prevention research: the NCI Cancer Moonshot (e.g., PCA and disparities); and the AACR-Stand Up To Cancer bold "Cancer Interception" initiative.

The Wide-Field Infrared Survey Telescope (WFIRST) is expected to launch inthe mid-2020s. With its wide-field near-infrared (NIR) camera, it will surveythe sky to unprecedented detail. As part of normal operations and as the resultof multiple expected dedicated surveys, WFIRST will produce several relativelywide-field (tens of square degrees) deep (limiting magnitude of 28 or fainter)fields. In particular, a planned supernova survey is expected to image 3 deepfields in the LSST footprint roughly every 5 days over 2 years. Stacking alldata, this survey will produce, over all WFIRST supernova fields in the LSSTfootprint, ~12-25 deg^2 and ~5-15 deg^2 regions to depths of ~28 mag and ~29mag, respectively. We suggest LSST undertake mini-surveys that will match theWFIRST cadence and simultaneously observe the supernova survey fields duringthe 2-year WFIRST supernova survey, achieving a stacked depth similar to thatof the WFIRST data. We also suggest additional observations of these sameregions throughout the LSST survey to get deep images earlier, have long-termmonitoring in the fields, and produce deeper images overall. These fields willprovide a legacy for cosmology, extragalactic, and transient/variable science.

Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas in machine learning in particle physics with a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. The main objective of the document is to connect and motivate these areas of research and development with the physics drivers of the High-Luminosity Large Hadron Collider and future neutrino experiments and identify the resource needs for their implementation. Additionally we identify areas where collaboration with external communities will be of great benefit.

The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging with the overarching goal of improving communication, clinical care, education, and research relating to patients at risk for or diagnosed with hepatocellular carcinoma (HCC). In 2018, the American Association for the Study of Liver Diseases (AASLD) integrated LI-RADS into its clinical practice guidance for the imaging-based diagnosis of HCC. The harmonization between the AASLD and LI-RADS diagnostic imaging criteria required minor modifications to the recently released LI-RADS v2017 guidelines, necessitating a LI-RADS v2018 update. This article provides an overview of the key changes included in LI-RADS v2018 as well as a look at the LI-RADS v2018 diagnostic algorithm and criteria, technical recommendations, and management suggestions. Substantive changes in LI-RADS v2018 are the removal of the requirement for visibility on antecedent surveillance ultrasound for LI-RADS 5 (LR-5) categorization of 10-19 mm observations with nonrim arterial phase hyper-enhancement and nonperipheral "washout", and adoption of the Organ Procurement and Transplantation Network definition of threshold growth (≥ 50% size increase of a mass in ≤ 6 months). Nomenclatural changes in LI-RADS v2018 are the removal of -us and -g as LR-5 qualifiers.

The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we provide an overview of the organization of the Astropy project and summarize key features in the core package, as of the recent major release, version 2.0. We then describe the project infrastructure designed to facilitate and support development for a broader ecosystem of interoperable packages. We conclude with a future outlook of planned new features and directions for the broader Astropy Project.

For 38 years, the IEEE Symposium on Security and Privacy has been the premier forum for presenting computer security and electronic privacy developments and for bringing together leading researchers and practitioners. We invited authors to submit revised versions of their symposium papers, recast as articles suitable for publication in IEEE Security & Privacy magazine. Specifically, we asked the original authors to revise their papers to speak to the magazine's audience, which goes beyond the symposium's traditional academically focused audience to also include policymakers and practitioners.

This paper reports on the results of a research project that examines how students responded to instructors' comments on academic papers written for a first-year writing course at a large, Midwestern university. Data collected consisted of rough drafts with instructor comments, final drafts of the same papers, and two sets of interviews, one after students had received the teacher's comments, and one after they had revised the final draft. In the interest of contributing to our understanding of what response to student writing does, this study explores student reflections on what they think, feel, and do in response to instructor comments. Findings suggest good reasons for the lack of one-to-one correspondence between an instructor's comments and an improved final draft, and that we may need to look at factors other than revised drafts for evidence of student learning.Keywords: teaching writing, responding, instructor comments, writing process, learning

In this paper, we present an experimental study on measurement of the thermal conductivity and heat pipe effect in both hydrophilic and hydrophobic (Toray TGP-H60) carbon papers (around 200 μm thickness) with/out liquid water. An experimental setup is developed for measuring thermal conductance at different liquid water contents and temperatures without dissembling the testing device for water addition. Theoretical analysis is also performed to evaluate the apparent conductance of heat pipe effect. We found that liquid water presence inside these materials increases the overall thermal conductivity. At high temperature around 80 °C, the heat pipe effect is evident for the hydrophilic paper; while for the hydrophobic one, the heat pipe effect is found to be smaller. The distinction is likely due to the different patterns of the capillary liquid flow in the two media. For the hydrophobic paper, liquid water flows back to the evaporation side when the breakthrough pressure is reached and flow is through preferred routes of small flow resistance. As a result, heat pipe effect is active only in part of the medium, therefore smaller than that in the hydrophilic one. The results are important for understanding the heat transfer phenomena occurring in porous media and effects of material surface property. © 2012 Elsevier Ltd. All rights reserved.

The District of Columbia has the nation’s only school voucher program established and funded by the federal government. In thinking about the federal initiative in an arena that is a top priority of the Trump Administration it is well to assess this effort over the last 15 years. Clearly the advocates had very high hopes that it would be a major solution to the weak educational results for children in schools that were overwhelmingly poor and nonwhite. Unlike most of the voucher programs, this one mandated evaluations but the results of the evaluations the federal government has commissioned have been seriously disappointing. This paper examines the goals of the program, the hopes of its authors and supporters, and the skeptical predictions of its opponents, and what actually happened.

Sudden unexpected death of an individual with epilepsy can pose a challenge to death investigators, as most deaths are unwitnessed, and the individual is commonly found dead in bed. Anatomic findings (eg, tongue/lip bite) are commonly absent and of varying specificity, thereby limiting the evidence to implicate epilepsy as a cause of or contributor to death. Thus it is likely that death certificates significantly underrepresent the true number of deaths in which epilepsy was a factor. To address this, members of the National Association of Medical Examiners, North American SUDEP Registry, Epilepsy Foundation SUDEP Institute, American Epilepsy Society, and the Centers for Disease Control and Prevention constituted an expert panel to generate evidence-based recommendations for the practice of death investigation and autopsy, toxicological analysis, interpretation of autopsy and toxicology findings, and death certification to improve the precision of death certificate data available for public health surveillance of epilepsy-related deaths. The recommendations provided in this paper are intended to assist medical examiners, coroners, and death investigators when a sudden unexpected death in a person with epilepsy is encountered.

Sudden unexpected death of an individual with epilepsy (SUDEP) can pose a challenge to death investigators, as most deaths are unwitnessed and the individual is commonly found dead in bed. Anatomic findings (e.g., tongue/lip bite) are commonly absent and of varying specificity, limiting the evidence to implicate epilepsy as a cause of or contributor to death. Thus, it is likely that death certificates significantly underrepresent the true number of deaths in which epilepsy was a factor. To address this, members of the National Association of Medical Examiners, North American SUDEP Registry, Epilepsy Foundation SUDEP Institute, American Epilepsy Society, and the Centers for Disease Control and Prevention convened an expert panel to generate evidence-based recommendations for the practice of death investigation and autopsy, toxicological analysis, interpretation of autopsy and toxicology findings, and death certification to improve the precision of death certificate data available for public health surveillance of epilepsy-related deaths. The recommendations provided in this paper are intended to assist medical examiners, coroners, and death investigators when a sudden, unexpected death in a person with epilepsy is encountered.

Occult caustic ingestion in the pediatric population is a challenging diagnosis to make in the emergency department. Failure to suspect and diagnose a caustic ingestion can lead to potentially life-changing comorbidities. Historically, the diagnosis of caustic ingestion has been clinical without any suitable diagnostic tools to aid in the suspicion of occult cases. In this case, we describe a novel use of ophthalmic pH paper to diagnose caustic ingestion in a three-year-old.

The purpose of this project is to cut a window in the opaque edifice of medical liability for young and aspiring OBGYNs to peer through. In addition to reviewing a wealth of literature on medical liability, I interviewed a diverse collection of OBGYNs at UCSD about their experiences with and views of medical malpractice. By integrating these narratives with the literature. This paper attempts to capture three perspectives that, I hope, offer greater texture and deeper understanding to young clinicians trying to make sense of medical liability: 1) What it feels like to be sued and the challenges associated with coping on the job; 2) What advice physicians have to avoid being sued (and a note on attorneys); 3) Where our system of medical liability falls short and how it might be improved.

Large-scale genome sequencing has identified millions of protein-coding genes whose function is unknown. Many of these proteins are similar to characterized proteins from other organisms, but much of this information is missing from annotation databases and is hidden in the scientific literature. To make this information accessible, PaperBLAST uses EuropePMC to search the full text of scientific articles for references to genes. PaperBLAST also takes advantage of curated resources (Swiss-Prot, GeneRIF, and EcoCyc) that link protein sequences to scientific articles. PaperBLAST's database includes over 700,000 scientific articles that mention over 400,000 different proteins. Given a protein of interest, PaperBLAST quickly finds similar proteins that are discussed in the literature and presents snippets of text from relevant articles or from the curators. PaperBLAST is available at http://papers.genomics.lbl.gov/. IMPORTANCE With the recent explosion of genome sequencing data, there are now millions of uncharacterized proteins. If a scientist becomes interested in one of these proteins, it can be very difficult to find information as to its likely function. Often a protein whose sequence is similar, and which is likely to have a similar function, has been studied already, but this information is not available in any database. To help find articles about similar proteins, PaperBLAST searches the full text of scientific articles for protein identifiers or gene identifiers, and it links these articles to protein sequences. Then, given a protein of interest, it can quickly find similar proteins in its database by using standard software (BLAST), and it can show snippets of text from relevant papers. We hope that PaperBLAST will make it easier for biologists to predict proteins' functions.

This policy brief explains how Japan produces its annual defense white paper and how this publication and other defense reports promote transparency on Japan’s national defense. I outline the process of putting together the white paper and then suggest ways in which the process and the structure could be applied by other nations seeking to improve their defense transparency.

We present detailed ultraviolet, optical, and near-infrared light curves of the Type Ia supernova (SN) 2012fr, which exploded in the Fornax cluster member NGC 1365. These precise high-cadence light curves provide a dense coverage of the flux evolution from -12 to +140 days with respect to the epoch of B-band maximum (). Supplementary imaging at the earliest epochs reveals an initial slow and nearly linear rise in luminosity with a duration of ∼2.5 days, followed by a faster rising phase that is well reproduced by an explosion model with a moderate amount of 56Ni mixing in the ejecta. From our analysis of the light curves, we conclude that: (i) the explosion occurred 1800) luminosity was 16.5 ±0.6 days, (iii) the supernova suffered little or no host-galaxy dust reddening, (iv) the peak luminosity in both the optical and near-infrared was consistent with the bright end of normal Type Ia diversity, and (v) 0.60 ±0.15 M o of 56Ni was synthesized in the explosion. Despite its normal luminosity, SN 2012fr displayed unusually prevalent high-velocity Ca ii and Si ii absorption features, and a nearly constant photospheric velocity of the Si ii λ6355 line at ∼12,000 that began ∼5 days before . We also highlight some of the other peculiarities in the early phase photometry and the spectral evolution. SN 2012fr also adds to a growing number of Type Ia supernovae that are hosted by galaxies with direct Cepheid distance measurements.

In this report, the authors detail the evolution of voucher policies, from their roots in the Jim Crow Era to their modern-day applications, including the rise of “neovoucher” programs; the past legal challenges to vouchers; factors that may influence the legal justifications of vouchers, including the quality of education for students of color in voucher programs; key policy issues that arise from this shift toward greater public funding of private schools; and conclude with a set of recommendations focused on civil rights protections.

Aqueous two-phase systems (ATPSs) have been widely utilized for liquid-liquid extraction and purification of biomolecules, with some studies also demonstrating their capacity as a biomarker concentration technique for use in diagnostic settings. As the limited polarity range of conventional polymer-based ATPSs can restrict their use, ionic liquid (IL)-based ATPSs have been recently proposed as a promising alternative to polymer-based ATPSs, since ILs are regarded as tunable solvents with excellent solvation capabilities for a variety of natural compounds and proteins. This study demonstrates the first application of IL ATPSs to point-of-care diagnostics. ATPSs consisting of 1-butyl-3-methylimidazolium tetrafluoroborate ([Bmim][BF4]) and sodium phosphate salt were utilized to quickly concentrate biomarkers prior to detection using the lateral-flow immunoassay (LFA). We found the phase separation speed of the IL ATPS to be very rapid and a significant improvement upon the separation speed of both polymer-salt and micellar ATPSs. This system was successfully applied to both sandwich and competitive LFA formats and enhanced the detection of both Escherichia coli bacteria and the transferrin protein up to 8- and 20-fold, respectively. This system's compatibility with a broad range of biomolecules, rapid phase separation speed, and tunability suggest wide applicability for a large range of different antigens and biomarkers.

Transportation is arguably experiencing its most transformative revolution since the introduction of the automobile. Concerns over climate change and equity are converging with dramatic technological advances. Although these changes – including shared mobility and automation – are rapidly altering the mobility landscape, predictions about the future of transportation are complex, nuanced, and widely debated. California is required by law to renew the California Transportation Plan (CTP), updating its models and policy considerations to reflect industry changes every five years. This document is envisioned as a reference for modelers and decision makers. We aggregate current information and research on the state of key trends and emerging technologies/services, documented impacts on California’s transportation ecosystem, and future growth projections (as appropriate). During 2017, we reviewed an expanded list of 20 topics by referencing state agency publications, peer-reviewed journal articles, and forecast reports from consulting firms and think tanks. We followed transportation newsletters and media sources to track industry developments, and interviewed six experts to explore their opinions on the future of transportation. We consulted an advisory committee of over 50 representatives from local and state transportation agencies, who provided input throughout the project’s evolution. We also obtained feedback on our draft report from a panel of U.S. experts.

We present a comprehensive review of keV-scale sterile neutrino Dark Matter, collecting views and insights from all disciplines involved - cosmology, astrophysics, nuclear, and particle physics - in each case viewed from both theoretical and experimental/observational perspectives. After reviewing the role of active neutrinos in particle physics, astrophysics, and cosmology, we focus on sterile neutrinos in the context of the Dark Matter puzzle. Here, we first review the physics motivation for sterile neutrino Dark Matter, based on challenges and tensions in purely cold Dark Matter scenarios. We then round out the discussion by critically summarizing all known constraints on sterile neutrino Dark Matter arising from astrophysical observations, laboratory experiments, and theoretical considerations. In this context, we provide a balanced discourse on the possibly positive signal from X-ray observations. Another focus of the paper concerns the construction of particle physics models, aiming to explain how sterile neutrinos of keV-scale masses could arise in concrete settings beyond the Standard Model of elementary particle physics. The paper ends with an extensive review of current and future astrophysical and laboratory searches, highlighting new ideas and their experimental challenges, as well as future perspectives for the discovery of sterile neutrinos.

Application-oriented papers provide an important way to invigorate and cross-pollinate the visualization field, but the exact criteria for judging an application paper's merit remain an open question. This article builds on a panel at the 2016 IEEE Visualization Conference entitled "Application Papers: What Are They, and How Should They Be Evaluated?" that sought to gain a better understanding of prevalent views in the visualization community. This article surveys current trends that favor application papers, reviews the benefits and contributions of this paper type, and discusses their assessment in the review process. It concludes with recommendations to ensure that the visualization community is more inclusive to application papers.

Introduction: Peer review, a cornerstone of academia, promotes rigor and relevance in scientificpublishing. As educators are encouraged to adopt a more scholarly approach to medical education,peer review is becoming increasingly important. Junior educators both receive the reviews of theirpeers, and are also asked to participate as reviewers themselves. As such, it is imperative for juniorclinician educators to be well-versed in the art of peer reviewing their colleagues’ work. In thisarticle, our goal was to identify and summarize key papers that may be helpful for faculty membersinterested in learning more about the peer-review process and how to improve their reviewing skills.Methods: The online discussions of the 2016-17 Academic Life in Emergency Medicine (ALiEM)Faculty Incubator program included a robust discussion about peer review, which highlighted anumber of papers on that topic. We sought to augment this list with further suggestions by guestexperts and by an open call on Twitter for other important papers. Via this process, we created a listof 24 total papers on the topic of peer review. After gathering these papers, our authorship groupengaged in a consensus-building process incorporating Delphi methods to identify the papers thatbest described peer review, and also highlighted important tips for new reviewers.Results: We found and reviewed 24 papers. In our results section, we present our authorshipgroup’s top five most highly rated papers on the topic of peer review. We also summarize thesepapers with respect to their relevance to junior faculty members and to faculty developers.Conclusion: We present five key papers on peer review that can be used for faculty development fornovice writers and reviewers. These papers represent a mix of foundational and explanatory papersthat may provide some basis from which junior faculty members might build upon as they both undergothe peer-review process and act as reviewers in turn.

Introduction: Competency-based medical education (CBME) presents a paradigm shift in medicaltraining. This outcome-based education movement has triggered substantive changes across the globe.Since this transition is only beginning, many faculty members may not have experience with CBMEnor a solid foundation in the grounding literature. We identify and summarize key papers to help facultymembers learn more about CBME.Methods: Based on the online discussions of the 2016-2017 ALiEM Faculty Incubator program, a seriesof papers on the topic of CBME was developed. Augmenting this list with suggestions by a guest expertand by an open call on Twitter for other important papers, we were able to generate a list of 21 papers intotal. Subsequently, we used a modified Delphi study methodology to narrow the list to key papers thatdescribe the importance and significance for educators interested in learning about CBME. To determinethe most impactful papers, the mixed junior and senior faculty authorship group used three-round votingmethodology based upon the Delphi method.Results: Summaries of the five most highly rated papers on the topic of CBME, as determined by thismodified Delphi approach, are presented in this paper. Major themes include a definition of core CBMEthemes, CBME principles to consider in the design of curricula, a history of the development of the CBMEmovement, and a rationale for changes to accreditation with CBME. The application of the study findingsto junior faculty and faculty developers is discussed.Conclusion: We present five key papers on CBME that junior faculty members and faculty expertsidentified as essential to faculty development. These papers are a mix of foundational and explanatorypapers that may provide a basis from which junior faculty members may build upon as they help toimplement CBME programs.

Introduction: Modern learners have immediate, unlimited access to a wide variety of onlineresources. To appeal to this current generation of learners, educators must embrace the useof technology. However, educators must balance newer, novel technologies with traditionalmethods to achieve the best learning outcomes. Therefore, we aimed to review several papersuseful for faculty members wishing to incorporate technology into instructional design.Methods: We identified a broad list of papers relevant to teaching and lea rning with technologywithin the online discussions of the Academic Life in Emergency Medicine (ALiEM) FacultyIncubator. This list was augmented with suggestions by a guest expert (BT) and an open callon Twitter (tagged with the #meded and #FOAMed hashtags) yielding 24 papers. We thenconducted a modified three-round Delphi process within the autho rship group, including juniorand senior faculty members, to identify the most impactful papers.Results: We pared the list of 24 papers to five that were most highly rate d. Two were researchpapers and three were commentaries or editorials. The authorship group reviewed andsummarized these papers with specific consideration to their val ue to junior educators andfaculty developers.Conclusion: This is a key reading list for junior faculty members and faculty developersinterested in teaching with technology. The commentary contextualizes the importance of thesepapers for medical educators, to optimize use of technology in their teaching or incorporate intofaculty development.

Introduction: A proper understanding of study design is essential to creating successful studies. This is also important when reading or peer reviewing publications. In this article, we aimed to identify and summarize key papers that would be helpful for faculty members interested in learning more about study design in medical education research.Methods: The online discussions of the 2016-2017 Academic Life in Emergency Medicine Faculty Incubator program included a robust and vigorous discussion about education study design, which highlighted a number of papers on that topic. We augmented this list of papers with further suggestions by expert mentors. Via this process, we created a list of 29 papers in total on the topic of medical education study design. After gathering these papers, our authorship group engaged in a modified Delphi approach to build consensus on the papers that were most valuable for the understanding of proper study design in medical education.Results: We selected the top five most highly rated papers on the topic domain of study design as determined by our study group. We subsequently summarized these papers with respect to their relevance to junior faculty members and to faculty developers.Conclusion: This article summarizes five key papers addressing study design in medical education with discussions and applications for junior faculty members and faculty developers. These papers provide a basis upon which junior faculty members might build for developing and analyzing studies.

IntroductionTeam collaboration is an essential part of success both within academics and the clinical environment. Often, team collaboration is not taught during medical school or even residency and must be learned during one’s postgraduate career. In this article, we aim to summarize five key papers about team collaboration for early career clinician educators. MethodsWe conducted a consensus building process amongst the writing team to generate a list of key papers that describe the importance or significance of team collaboration, seeking input from social media sources. The authors then used a three-round voting methodology akin to a Delphi study to determine the most important papers from the general list. ResultsThe five most important papers on the topic of team collaboration, as determined by this mixed group of junior faculty members and faculty developers, is presented in this paper. For each included publication, a summary was provided along with its relevance to junior faculty members and faculty developers. ConclusionFive key papers about team collaboration are presented in this paper. These papers provide a foundational background to help junior faculty members with collaborating in teams both clinically and academically. This list may also inform senior faculty and faculty developers about the needs of junior faculty members.

Introduction:Many teachers adopt instructional methods based on assumptions of best practices without attention to or knowledge of supporting education theory.  Familiarity with a variety of theories informs education that is efficient, strategic, and evidence-based. As part of the Academic Life in Emergency Medicine Faculty Incubator Program a list of key education theories for junior faculty was developed. Methods:A list of key papers on theories relevant to medical education was generated using an expert panel, a virtual community of practice synthetic discussion, and a social media call for resources.  A three-round, Delphi-informed voting methodology including novice and expert educators produced a rank order of the top papers. Results:Thirty-four unique papers were identified. Eleven papers described general theories, while 23 papers focused on a specific theory. The top three ranked general education theories and top five ranked specific education theory papers are summarized. The relevance of each paper for junior faculty and faculty developers is also presented. Conclusion: This paper presents a reading list of key papers for junior faculty in medical education roles. Three papers about general education theories and five papers about specific educational theories are identified and annotated. These papers may help provide foundational knowledge in education theory to inform junior faculty teaching practice.

Introduction:Clinician educators are often asked to perform consultations for colleagues.  Invitations to consult and advise others on local problems can help foster great collaborations between centres, and  allows for an exchange of ideas between programs.  In this article, the authors identify and summarize several key papers to  assist emerging clinician educators with the consultation process. Methods:A consensus building process was used to generate a list of key papers that describe the importance and significance of educational consulting, informed by social media sources. A three-round voting methodology, akin to a Delphi study, determinedthe most impactful papers from the larger list.  Results:Summaries of the five most highly rated papers on education consultation are presented in this paper.  These papers were determined by a mixed group of junior and senior faculty members, who have summarized these papers with respect to their relevance for their peer groups. Conclusion:Five key papers on the educational consultation process are presented in this paper. These papers offer  background and perspective to help junior faculty gain a grasp of consultation processes.

Recent studies suggest that reactions in aqueous microcompartments can occur at significantly different rates than those in the bulk. Most studies have used electrospray to generate a polydisperse source of highly charged microdroplets, leading to multiple confounding factors potentially influencing reaction rates (e.g., evaporation, charge, and size). Thus, the underlying mechanism for the observed enhancement remains unclear. We present a new type of electrodynamic balance-the branched quadrupole trap (BQT)-which can be used to study reactions in microdroplets in a controlled environment. The BQT allows for condensed phase chemical reactions to be initiated by colliding droplets with different reactants and levitating the merged droplet indefinitely. The performance of the BQT is characterized in several ways. Sub-millisecond mixing times as fast as ∼400 μs are measured for low velocity (∼0.1 m/s) collisions of droplets with

We present an analysis of the host-galaxy environment of Swope Supernova Survey 2017a (SSS17a), the discovery of an electromagnetic counterpart to a gravitational-wave source, GW170817. SSS17a occurred 1.9 kpc (in projection; 10.″2) from the nucleus of NGC 4993, an S0 galaxy at a distance of 40 Mpc. We present a Hubble Space Telescope (HST) pre-trigger image of NGC 4993, Magellan optical spectroscopy of the nucleus of NGC 4993 and the location of SSS17a, and broadband UV-through-IR photometry of NGC 4993. The spectrum and broadband spectral-energy distribution indicate that NGC 4993 has a stellar mass of and star formation rate of 0.003 yr-1, and the progenitor system of SSS17a likely had an age of >2.8 Gyr. There is no counterpart at the position of SSS17a in the HST pre-trigger image, indicating that the progenitor system had an absolute magnitude mag. We detect dust lanes extending out to almost the position of SSS17a and >100 likely globular clusters associated with NGC 4993. The offset of SSS17a is similar to many short gamma-ray-burst offsets, and its progenitor system was likely bound to NGC 4993. The environment of SSS17a is consistent with an old progenitor system such as a binary neutron star system.