cssi/SciSciGPT-SciSciNet huggingface dataset:
Development of an Enterprise-Wide Clinical Data Repository: Merging Multiple Legacy Databases

Abstract We describe the development of a clinical data repository whose core consists of four years of inpatient administrative and billing data from the mainframe legacy systems of the University of Virginia Health System (UVAHS). To these data we have linked a cardiac surgery clinical database and our physician billing data (inpatient and outpatient). Other databases will be merged in the future. A relational database management system (Sybase) running on a dedicated IBM RS/6000 minicomputer was employed to assemble 2.5 Gigabytes of core data describing approximately 100,000 hospital admissions over the four year period. To enable convenient data queries, the system has been equipped with a custom-built WWW user interface, which generates Structured Query Language (SQL) automatically. We illustrate the rapid reporting capabilities of the resulting system with reference to patients undergoing coronary artery bypass graft surgery (CABG). We conclude that this information system: a) constitutes a convenient and low-cost method to increase data availability across the UVAHS; b) provides clinicians with a tool for surveillance of patient care and outcomes; c) forms the core of a comprehensive database from which clinical research may proceed; d) provides a flexible interface empowering a wide variety of clinical departments to share and enrich their own clinical data.
On the Importance of Engaging Students in Crafting Definitions

In this paper we describe an activity for engaging students in crafting definitions. We explore the strengths of this particular activity as well as the broader implications of engaging students in crafting definitions more generally.
Placement of Virtual Network Functions in Hybrid Data Center Networks

Hybrid data center networks (HDCNs), where each ToR switch is installed with a directional antenna, emerge as a candidate helping alleviate the over-subscription problem in traditional data centers. Meanwhile, as virtualization techniques develop rapidly, there is a trend that traditional network functions that are implemented in hardware will also be virtualized into virtual machines. However, how to place virtual network functions (VNFs) into data centers to meet the customer requirements in a hybrid data center network environment is a challenging problem. In this paper, we study the VNF placement in hybrid data center networks, and provide a joint VNF placement and antenna scheduling model. We further simplify it to a mixed integer programming (MIP) problem. Due to the hardness of a MIP problem, we develop a heuristic algorithm to solve it. To the best of our knowledge, this is the first work concerning VNF placement in the context of HDCNs. Our extensive simulations demonstrate the effectiveness of the proposed algorithm, which make it a very suitable and promising solution for VNF placement in HDCN environment.
Subarachnoid-to-Subarachnoid Shunt for Correction of Nonfunctioning Baclofen Pump in a Severe Case of Chronic Debilitating Post-Spinal Cord Injury Spasticity.

Background Perhaps the most disabling condition seen in patients with spinal cord injury (SCI) is spasticity. Spasticity is characterized as hyperreflexia and hypertonicity as a result of damage to the supraspinal tracts in the aftermath of SCI. Intrathecal baclofen (ITB) is the mainstay therapy for spasticity unresponsive to oral baclofen. One of the problems associated with post-SCI spasticity unresponsive to ITB is the development of scar tissue that prevents the diffusion of baclofen in the desired spinal cord area. This case offers a unique strategy to deal with multilevel scar tissue. Clinical Presentation This 46-year-old paraplegic male with a T8 SCI whose spasticity had been well managed with ITB therapy for many years recently suffered intractable spasticity necessitating multiple reoperations for a nonfunctioning ITB catheter secondary to extensive scar tissue and intrathecal adhesions. Placement of a subarachnoid-to-subarachnoid shunt eliminated the problem of extensive scar tissue preventing adequate baclofen therapy. Conclusions After undergoing multilevel thoracic and lumbar laminectomies with subarachnoid-to-subarachnoid spinal shunt, the patient's spasticity was finally brought under control with adequate daily baclofen infusion. This case demonstrates a creative way to address ITB catheter failure before considering other measures, such as neuroablative procedures (e.g., rhizotomy, myelotomy). This case reinforces the recommendation that ablative procedures, which have far greater complications, should be reserved for patients who have failed medical or other nonablative therapies.
Curvature capillary repulsion

Prior work on curvature capillary attraction for colloids on fluid interfaces is extended, and the concept of curvature capillary repulsion is introduced.
Development of a Radiative Heating Margin Policy for Lunar Return Missions

The present paper discusses the development of a margin policy for radiative heating during lunar return Earth reentry. The approach starts with stagnation line radiance predictions, for which sign...
Vasitis Nodosa and Related Lesions: A Modern Immunohistochemical Staining Profile with Special Emphasis on Novel Diagnostic Dilemmas

Vasitis nodosa is a benign proliferation of vas deferens epithelium, thought to be a response to trauma or obstruction, usually vasectomy. Although histologic features mimic malignancy, diagnosis is usually straightforward due to the clinical context. We analyzed 21 specimens with vasitis or epididymitis nodosa with antibodies to PAX8, CD10, p63, α-methyl-acyl-coA-racemase (AMACR), GATA3, prostein, NKX3.1, and prostate-specific antigen (PSA). Two diagnostically problematic cases included (1) florid bladder muscle involvement after prostatectomy and (2) involvement of the ampulla and ejaculatory duct in a radical prostatectomy specimen. Vasitis nodosa was excluded in 3 additional histologic mimics (2 post-treatment prostate cancers and 1 bladder cancer). PAX8 yielded consistent positive (100%) nuclear staining in the proliferative glands of vasitis nodosa, often stronger and more uniform than native vas deferens. CD10 labeling was common but also labeled secretions and other structures. Labeling for p63 was often basally located in glands with a multilayered appearance, but often markedly attenuated or lacking in the proliferative glands compared to native epithelium. AMACR positivity was variable but often present (19/21). PSA, prostein, and NKX3.1 were consistently negative. Rare problematic cases of vasitis nodosa include "invasion" of the ejaculatory duct at the prostate and involvement of bladder muscle after prostatectomy. The proliferative vasitis nodosa glands often have a prostate cancer-like staining pattern with variable AMACR positivity and negative or patchy p63. However, reliable positivity for PAX8, patchy GATA3, and negative staining for PSA, NKX3.1, and prostein aid in distinguishing from prostate cancer and tubular variants of bladder cancer.
Protein classification using modified n-grams and skip-grams

Motivation Classification by supervised machine learning greatly facilitates the annotation of protein characteristics from their primary sequence. However, the feature generation step in this process requires detailed knowledge of attributes used to classify the proteins. Lack of this knowledge risks the selection of irrelevant features, resulting in a faulty model. In this study, we introduce a supervised protein classification method with a novel means of automating the work-intensive feature generation step via a Natural Language Processing (NLP)-dependent model, using a modified combination of n-grams and skip-grams (m-NGSG). Results A meta-comparison of cross-validation accuracy with twelve training datasets from nine different published studies demonstrates a consistent increase in accuracy of m-NGSG when compared to contemporary classification and feature generation models. We expect this model to accelerate the classification of proteins from primary sequence data and increase the accessibility of protein characteristic prediction to a broader range of scientists. Availability and implementation m-NGSG is freely available at Bitbucket: https://bitbucket.org/sm_islam/mngsg/src. A web server is available at watson.ecs.baylor.edu/ngsg. Contact erich_baker@baylor.edu. Supplementary information Supplementary data are available at Bioinformatics online.
Discretionary Disenfranchisement: The Case of Legal Financial Obligations

AbstractConditioning voting rights on the payment of legal financial obligations (LFOs) may be unconstitutional if there are no exceptions for indigency. Appellate courts, though, generally have up...
Inward migration of the TRAPPIST-1 planets as inferred from their water-rich compositions

Multiple planet systems provide an ideal laboratory for probing exoplanet composition, formation history and potential habitability. For the TRAPPIST-1 planets, the planetary radii are well established from transits1,2, with reasonable mass estimates coming from transit timing variations2,3 and dynamical modelling 4 . The low bulk densities of the TRAPPIST-1 planets demand substantial volatile content. Here we show, using mass–radius–composition models, that TRAPPIST-1f and g probably contain substantial (≥50 wt%) water/ice, with TRAPPIST-1 b and c being significantly drier (≤15 wt%). We propose that this gradient of water mass fractions implies that planets f and g formed outside the primordial snow line whereas b and c formed within it. We find that, compared with planets in our Solar System that also formed within the snow line, TRAPPIST-1b and c contain hundreds more oceans of water. We demonstrate that the extent and timescale of migration in the TRAPPIST-1 system depends on how rapidly the planets formed and the relative location of the primordial snow line. This work provides a framework for understanding the differences between the protoplanetary disks of our Solar System versus M dwarfs. Our results provide key insights into the volatile budgets, timescales of planet formation and migration history of M dwarf systems, probably the most common type of planetary host in the Galaxy. Applying mass–radius–composition models to the exoplanet system of the M dwarf star TRAPPIST-1, its planets f and g are determined to contain substantial amounts of water, whereas b and c are much drier.
Legionella indianapolisensis sp. nov., isolated from a patient with pulmonary abscess

Abstract Background To date, at least 50 species of Legionella have been described. These organisms are ubiquitous in nature and have been isolated from diverse ecological environments, including man-made structures such as cooling towers and spas. Legionellae have also been isolated from human and veterinary clinical specimens, and their roles in disease are well-established. This report describes the isolation of a novel Legionella species from a respiratory specimen from a patient with influenza and suspected pulmonary embolus. Case A 68-year-old male presented to an Indianapolis-area hospital with pulmonary disease; upon workup, he was found to have influenza A. Bronchoalveolar lavage fluid was also submitted for conventional bacterial culture and Legionella culture. The patient was prescribed a broad-spectrum antibiotic and recovered. Results A Legionella -like bacterium was isolated on buffered charcoal yeast extract agar, and mass spectrometry and comparative 16S rRNA gene sequencing inconclusively identified the isolate as a Legionella sp. Further analysis of the 16S rRNA gene confirmed the strain to be a new species, related to Legionella hackeliae . Physiochemical and morphological testing were used to confirm the discovery of a novel species, Legionella indianapolisensis sp. nov., type strain SMNF-IS.
Linear Predictability: A Sea Surface Height Case Study

AbstractA benchmark of linear predictability of sea surface height (SSH) globally is presented, complementing more complicated studies of SSH predictability. Twenty years of the Estimating the Circulation and Climate of the Ocean (ECCOv4) state estimate (1992–2011) are used, fitting autoregressive moving average [ARMA()] models where the order of the coefficients is chosen by the Akaike information criteria (AIC). Up to 50% of the ocean SSH variability is dominated by the seasonal signal. The variance accounted for by the nonseasonal SSH is particularly distinct in the Southern and Pacific Oceans, containing >95% of the total SSH variance, and the expected prediction error growth takes a few months to reach a threshold of 1 cm. Isolated regions take 12 months or more to cross an accuracy threshold of 1 cm. Including the trend significantly increases the time taken to reach the threshold, particularly in the South Pacific. Annual averaging has expected prediction error growth of a few years to reach a thre...
Management of Traumatic Brain Injury: An Update

The care of patients with traumatic brain injury can be one of the most challenging and rewarding aspects of clinical neurocritical care. This article reviews the approach to unique aspects specific to the care of this patient population. These aspects include appropriate use of sedation and analgesia, and the principles and the clinical use of intracranial monitors. Common clinical challenges encountered in these patients are also discussed, including the treatment of intracranial hypertension, temperature management, and control of sympathetic hyperactivity.
Emergency evacuation planning policy for carless and vulnerable populations in the United States and United Kingdom

Abstract Evacuation planning and policy in the United States (US) and the United Kingdom (UK) exhibit similarities and differences as both nations consist of an auto-dominated society with strong local government traditions related to emergency planning. This paper draws upon focus groups in five major cities in the US and interviews conducted in the UK. This paper examines the extent to which national policy in both countries addresses large-scale, multimodal emergency evacuation planning for carless and vulnerable populations. It also examines the barriers to effective emergency evacuation planning for these populations. The US could benefit from a policy framework established in the UK, which on paper provides a robust top-down and bottom-up approach that includes local, regional and national resilience forums to coordinate emergency planning activities. While the UK policy framework looks ideal on paper, the political reality is that a ruling party had ignored planning during the time leading up to the interviews in 2013. The UK could learn from the on-the-ground experiences from US disasters, which can strike anywhere. The study draws lessons from the US and UK and identifies five barriers to effective emergency evacuation planning. Suggested recommendations seek to promote effective policy and planning for evacuation planning for carless and vulnerable populations.
Therapeutic Targeting of Sunitinib-Induced AR Phosphorylation in Renal Cell Carcinoma

Androgen receptor (AR) plays a crucial role in the development and progression of prostate cancer. AR expression has also been reported in other solid tumors, including renal cell carcinoma (RCC), but its biological role here remains unclear. Through integrative analysis of a reverse phase protein array, we discovered increased expression of AR in an RCC patient-derived xenograft model of acquired resistance to the receptor tyrosine kinase inhibitor (RTKi) sunitinib. AR expression was increased in RCC cell lines with either acquired or intrinsic sunitinib resistance in vitro An AR signaling gene array profiler indicated elevated levels of AR target genes in sunitinib-resistant cells. Sunitinib-induced AR transcriptional activity was associated with increased phosphorylation of serine 81 (pS81) on AR. Additionally, AR overexpression resulted in acquired sunitinib resistance and the AR antagonist enzalutamide-induced AR degradation and attenuated AR downstream activity in sunitinib-resistant cells, also indicated by decreased secretion of human kallikrein 2. Enzalutamide-induced AR degradation was rescued by either proteasome inhibition or by knockdown of the AR ubiquitin ligase speckle-type POZ protein (SPOP). In vivo treatment with enzalutamide and sunitinib demonstrated that this combination efficiently induced tumor regression in a RCC model following acquired sunitinib resistance. Overall, our results suggest the potential role of AR as a target for therapeutic interventions, in combination with RTKi, to overcome drug resistance in RCC.Significance: These findings highlight the therapeutic potential of targeting the androgen receptor to overcome RCC resistance to receptor tyrosine kinase inhibitors. Cancer Res; 78(11); 2886-96. ©2018 AACR.
Mutant and wild-type p53 form complexes with p73 upon phosphorylation by the kinase JNK

The transcription factors p53 and p73 are critical to the induction of apoptotic cell death, particularly in response to cell stress that activates c-Jun N-terminal kinase (JNK). Mutations in the DNA-binding domain of p53, which are commonly seen in cancers, result in conformational changes that enable p53 to interact with and inhibit p73, thereby suppressing apoptosis. In contrast, wild-type p53 reportedly does not interact with p73. We found that JNK-mediated phosphorylation of Thr 81 in the proline-rich domain (PRD) of p53 enabled wild-type p53, as well as mutant p53, to form a complex with p73. Structural algorithms predicted that phosphorylation of Thr 81 exposes the DNA-binding domain in p53 to enable its binding to p73. The dimerization of wild-type p53 with p73 facilitated the expression of apoptotic target genes [such as those encoding p53–up-regulated modulator of apoptosis (PUMA) and Bcl-2-associated X protein (BAX)] and, subsequently, the induction of apoptosis in response to JNK activation by cell stress in various cells. Thus, JNK phosphorylation of mutant and wild-type p53 promotes the formation of a p53/p73 complex that determines cell fate: apoptosis in the context of wild-type p53 or cell survival in the context of the mutant. These findings refine our current understanding of both the mechanistic links between p53 and p73 and the functional role for Thr 81 phosphorylation.
Adventures with RNA graphs

The structure of RNA has been a natural subject for mathematical modeling, inviting many innovative computational frameworks. This single-stranded polynucleotide chain can fold upon itself in numerous ways to form hydrogen-bonded segments, imperfect with single-stranded loops. Illustrating these paired and non-paired interaction networks, known as RNA's secondary (2D) structure, using mathematical graph objects has been illuminating for RNA structure analysis. Building upon such seminal work from the 1970s and 1980s, graph models are now used to study not only RNA structure but also describe RNA's recurring modular units, sample the conformational space accessible to RNAs, predict RNA's three-dimensional folds, and apply the combined aspects to novel RNA design. In this article, we outline the development of the RNA-As-Graphs (or RAG) approach and highlight current applications to RNA structure prediction and design.
Myopia and Anchoring

We develop an equivalence between the equilibrium effects of incomplete information and those of two behavioral distortions: myopia, or extra discounting of the future; and anchoring of current behavior to past behavior, as in models with habit persistence or adjustment costs. We show how these distortions depend on higher-order beliefs and GE mechanisms, and how they can be disciplined by evidence on expectations. We finally illustrate the use of our toolbox with a quantitative application in the context of inflation, a bridge to the HANK literature, and an extension to networks.
Matrix stiffness modulates infection of endothelial cells by Listeria monocytogenes via expression of cell surface vimentin

Extracellular matrix stiffness (ECM) is one of the many mechanical forces acting on mammalian adherent cells and an important determinant of cellular function. While the effect of ECM stiffness on many aspects of cellular behavior has been studied previously, how ECM stiffness might mediate susceptibility of host cells to infection by bacterial pathogens is hitherto unexplored. To address this open question, we manufactured hydrogels of varying physiologically relevant stiffness and seeded human microvascular endothelial cells (HMEC-1) on them. We then infected HMEC-1 with the bacterial pathogen Listeria monocytogenes (Lm) and found that adhesion of Lm to host cells increases monotonically with increasing matrix stiffness, an effect that requires the activity of focal adhesion kinase (FAK). We identified cell surface vimentin as a candidate surface receptor mediating stiffness-dependent adhesion of Lm to HMEC-1 and found that bacterial infection of these host cells is decreased when the amount of surface vimentin is reduced. Our results provide the first evidence that ECM stiffness can mediate the susceptibility of mammalian host cells to infection by a bacterial pathogen.
Alignment and calibration of the W. M. Keck telescope segmented primary mirror

The Primary Mirror of the Keck Observatory Telescope is made up of an array of 36 hexagonal mirror segments under active control. The measurement of the relative orientations of the mirror segments is fundamental to their control. The mechanical and electronic design of the sensors used to measure these relative positions is described along with the performance of the sensors under a variety of tests. In use, the sensors will measure relative positions with a resolution of a few nanometers. This resolution and the low noise, drift and thermal sensitivity of the sensors are adequate to stabilize the primary mirror figure to the precision require for optical and infrared astronomy.© (1990) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Long-Term Finance and Investment with Frictional Asset Markets

This paper develops a theory of investment and maturity choices and studies its implications for the macroeconomy. The novel ingredient is an explicit secondary market with trading frictions which leads to a liquidity spread which increases with maturity and generates an upward sloping yield curve. As a result, trading frictions induce firms to borrow and invest at shorter horizons than in a frictionless benchmark. Economies with more severe frictions exhibit a steeper yield curve which further affects maturity and investment choices of rms. A model calibrated to match cross-country moments suggests that reductions in trading frictions-a new channel of financial development-can promote economic development. A policy intervention with government-backed financial intermediaries in the secondary market can improve liquidity and reduce the cost of long-term finance which promotes investment in longer-term projects and generates substantial welfare gains.
Fast, Anytime Motion Planning for Prehensile Manipulation in Clutter

Many methods have been developed for planning the motion of robotic arms for picking and placing, ranging from local optimization to global search techniques, which are effective for sparsely placed objects. Dense clutter, however, still adversely affects the success rate, computation times, and quality of solutions in many real-world setups. The current work integrates tools from existing methodologies and proposes a framework that achieves high success ratio in clutter with anytime performance. The idea is to first explore the lower dimensional end effector's task space efficiently by ignoring the arm, and build a discrete approximation of a navigation function, which guides the end effector towards the set of available grasps or object placements. This is performed online, without prior knowledge of the scene. Then, an informed sampling-based planner for the entire arm uses Jacobian-based steering to reach promising end effector poses given the task space guidance. While informed, the method is also comprehensive and allows the exploration of alternative paths over time if the task space guidance does not lead to a solution. This paper evaluates the proposed method against alternatives in picking or placing tasks among varying amounts of clutter for a variety of robotic manipulators with different end-effectors. The results suggest that the method reliably provides higher quality solution paths quicker, with a higher success rate relative to alternatives.
Dynamical initialization and hydrodynamic modeling of relativistic heavy-ion collisions

Abstract We present a fully three-dimensional model providing initial conditions for energy and conserved charge density distributions in heavy ion collisions at RHIC Beam Energy Scan (BES) collision energies [C. Shen, B. Schenke, Dynamical initial state model for relativistic heavy-ion collisions, Phys. Rev. C97 (2) (2018) 024907. arXiv:1710.00881 , doi: 10.1103/PhysRevC.97.024907 ; C. Shen, B. Schenke, Initial state and hydrodynamic modeling of heavy-ion collisions at RHIC BES energies, PoS CPOD2017 (2018) 006. arXiv:1711.10544 ]. The model includes the dynamical deceleration of participating nucleons or valence quarks. It provides a realistic estimation of the initial baryon stopping during the early stage of collisions. We also present the implementation of the model with 3+1 dimensional hydrodynamics, which involves the addition of source terms that deposit energy and net-baryon densities produced by the initial state model at proper times greater than the initial time for the hydrodynamic simulation. The importance of this dynamical initialization stage on hadronic flow observables at the RHIC BES is quantified.
Towards a portable mesoscale thermophotovoltaic generator

Thermophotovoltaics (TPV) is the conversion of fuel to electricity with heat and light as intermediaries, and is a promising source of high energy density power at the mesoscale. This work describes our transition from our bench-top experiments to a fully-integrated portable generator. Specifically, we redesigned the microcombustor for propane-air combustion from the previous propane-oxygen design. Next, we validated vacuum package of the microcombustor, necessary to preserve the photonic crystal, in a 50+ day experiment in which there was no degradation of vacuum level. Finally, we vacuum packaged a microcombustor with integrated photonic crystals in a housing with two infrared-transparent windows to transmit the thermal radiation to external PV cells. Although considerable challenges remain, this work demonstrates the feasibility of a mesoscale TPV system.
CYCLOSTATIONARY STATISTICAL MODELS AND ALGORITHMS FOR ANOMALY DETECTION USING MULTI-MODAL DATA

A framework is proposed to detect anomalies in multi-modal data. A deep neural network-based object detector is employed to extract counts of objects and sub-events from the data. A cyclostationary model is proposed to model regular patterns of behavior in the count sequences. The anomaly detection problem is formulated as a problem of detecting deviations from learned cyclostationary behavior. Sequential algorithms are proposed to detect anomalies using the proposed model. The proposed algorithms are shown to be asymptotically efficient in a well-defined sense. The developed algorithms are applied to a multi-modal data consisting of CCTV imagery and social media posts to detect a 5K run in New York City.
“Super Gene Set” Causal Relationship Discovery from Functional Genomics Data

In this article, we present a computational framework to identify “causal relationships” among super gene sets. For “causal relationships,” we refer to both stimulatory and inhibitory regulatory relationships, regardless of through direct or indirect mechanisms. For super gene sets, we refer to “pathways, annotated lists, and gene signatures,” or PAGs. To identify causal relationships among PAGs, we extend the previous work on identifying PAG-to-PAG regulatory relationships by further requiring them to be significantly enriched with gene-to-gene co-expression pairs across the two PAGs involved. This is achieved by developing a quantitative metric based on P AG-to- P AG C o-expressions (PPC), which we use to infer the likelihood that PAG-to-PAG relationships under examination are causal—either stimulatory or inhibitory. Since true causal relationships are unknown, we approximate the overall performance of inferring causal relationships with the performance of recalling known r-type PAG-to-PAG relationships from causal PAG-to-PAG inference, using a functional genomics benchmark dataset from the GEO database. We report the area-under-curve (AUC) performance for both precision and recall being 0.81. By applying our framework to a myeloid-derived suppressor cells (MDSC) dataset, we further demonstrate that this framework is effective in helping build multi-scale biomolecular systems models with new insights on regulatory and causal links for downstream biological interpretations.
A Microservice-enabled Architecture for Smart Surveillance using Blockchain Technology

While the smart surveillance system enhanced by the Internet of Things (IoT) technology becomes an essential part of Smart Cities, it also brings new concerns in security of the data. Compared to the traditional surveillance systems that is built following a monolithic architecture to carry out lower level operations, such as monitoring and recording, the modern surveillance systems are expected to support more scalable and decentralized solutions for advanced video stream analysis at the large volumes of distributed edge devices. In addition, the centralized architecture of the conventional surveillance systems is vulnerable to single point of failure and privacy breach owning to the lack of protection to the surveillance feed. This position paper introduces a novel secure smart surveillance system based on microservices architecture and blockchain technology. Encapsulating the video analysis algorithms as various independent microservices not only isolates the video feed from different sectors, but also improve the system availability and robustness by decentralizing the operations. The blockchain technology securely synchronizes the video analysis databases among microservices across surveillance domains, and provides tamper proof of data in the trustless network environment. Smart contract enabled access authorization strategy prevents any unauthorized user from accessing the microservices and offers a scalable, decentralized and fine-grained access control solution for smart surveillance systems.
Cytogenetic abnormalities in systemic mastocytosis: WHO subcategory-specific incidence and prognostic impact among 348 informative cases.

The World Health Organization (WHO) system lists five morphological categories of systemic mastocytosis (SM): indolent (ISM), smoldering, SM with an associated hematological neoplasm (SM-AHN), aggressive (ASM) and mast cell leukemia (MCL). Recent studies have highlighted the prognostic importance of mutations in SM, including ASXL1, RUNX1, and SRSF2. In contrast, information on incidence of cytogenetic abnormalities in SM and their prognostic relevance, especially in the context of mutations, is limited. In the current study, we retrospectively reviewed the cytogenetic findings in 348 consecutive cases of SM (median age 59 years; 53% males); 41% constituted ISM, 45% SM-AHN, 14% ASM and two cases of MCL. Karyotype was abnormal in 53 (15%) cases with incidences of 6% for ISM, 26% for SM-AHN and 8% for ASM (P 60 years (P = .04), thrombocytopenia (P < .001) and anemia (P < .001), but not with the presence of adverse mutations (P = .19). In univariate analysis, abnormal karyotype was associated with inferior survival (HR 3.0, 95% CI 2.0-4.3), specifically confirmed for ASM (HR 4.9, 95% CI 1.1-16.1) and SM-AHN (HR 1.8, 95% CI 1.2-2.7). Sample size adequacy allowed additional multivariable analysis in SM-AHN-myeloid, which disclosed independent prognostic contribution from adverse mutations (P = .003), anemia (P = .003) and thrombocytopenia (P = .001), but not from abnormal karyotype (P = .31). Our observations suggest that mutations are prognostically more relevant than karyotype in SM.
The Valuation Channel of External Adjustment

Abstract International financial integration has greatly increased the scope for changes in a country's net foreign asset position through the “valuation channel” of external adjustment, namely, capital gains and losses on the country's external assets and liabilities. We examine this valuation channel theoretically in a dynamic equilibrium portfolio model with international trade in equity that encompasses complete and incomplete asset market scenarios. By separating asset prices and quantities in the definition of net foreign assets, we can characterize the first-order dynamics of both valuation effects and net foreign equity holdings. First-order excess returns are unanticipated and i.i.d. in our model, but capital gains and losses on equity positions feature persistent, anticipated dynamics in response to productivity shocks. The separation of prices and quantities in net foreign assets also enables us to characterize fully the role of capital gains and losses versus the current account in the dynamics of macroeconomic aggregates. Specifically, we disentangle the roles of excess returns, capital gains, and portfolio adjustment for consumption risk sharing when financial markets are incomplete, showing how these different channels contribute to dampening (or amplifying) the impact response of the cross-country consumption differential to shocks and to keeping it constant in subsequent periods.
On the Won and Other East Asian Currencies

Five East Asian currencies--the Indonesian rupiah, Korean won, Singapore dollar, Taiwanese dollar and the Thai baht--are modeled in the framework of a monetary specification augmented by the relative price of non-tradables. This relative price variable proxies for the Balassa-Samuelson effect in East Asian real exchange rates identified in previous studies. All of the currencies fit the long run implications of various types of monetary models, according to Johansen multivariate co-integration tests. Exchange rates do the bulk of adjustment toward equilibrium, except in the cases of the Thai baht and the New Taiwan dollar. For these currencies, interest rates and money supplies move to restore equilibrium. In ex post simulations, the out-of-sample fit of the estimated models is relatively good for the won, Singapore and New Taiwan dollars, and for the baht, although in no case is the exact magnitude and timing of the currency crashes predicted. The estimated model completely fails to track the rupiah out-of-sample. Copyright @ 1999 by John Wiley & Sons, Ltd. All rights reserved.
Upgrading to functional encryption

The notion of Functional Encryption (FE) has recently emerged as a strong primitive with several exciting applications. In this work, we initiate the study of the following question: Can existing public key encryption schemes be “upgraded” to Functional Encryption schemes without changing their public keys or the encryption algorithm? We call a public-key encryption scheme with this property to be FE-compatible. Indeed, assuming ideal obfuscation, it is easy to see that every CCA-secure public-key encryption scheme is FE-compatible. Despite the recent success in using indistinguishability obfuscation to replace ideal obfuscation for many applications, we show that this phenomenon most likely will not apply here. We show that assuming fully homomorphic encryption and the learning with errors (LWE) assumption, there exists a CCA-secure encryption scheme that is provably not FE-compatible. We also show that a large class of natural CCA-secure encryption schemes proven secure in the random oracle model are not FE-compatible in the random oracle model.
The identification zoo - Meanings of identification in econometrics

Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal identification, local identification, generic identification, weak identification, identification at infinity, and many more. This survey (i) gives a new framework unifying existing definitions of point identification; (ii) summarizes and compares the zooful of different terms associated with identification that appear in the literature; and (iii) discusses concepts closely related to identification, such as normalizations and the differences in identification between structural models and causal, reduced form models.
Early intervention in college classes and improved student outcomes

Abstract This research investigates the effectiveness of an early academic intervention in Principles of Economics courses at a large public university. After the end of the fourth week of classes, students who fell below a 70% threshold on a performance measure, or had an attendance rate below 75%, were referred to the university's Student Success Center for additional academic support. A referral consisted of students being informed of their status and being given optional assistance in course specific skills through tutoring, as well as training in general skills like time management and study skills. Using a regression discontinuity framework at the referral threshold, we find that the performance intervention improved student scores on common questions on the final exam by 6.5 to 7.5 percentage points for students at or near the performance threshold. The gains are particularly large for students who entered college with below average math placement scores. These results indicate that low-cost light-touch interventions may significantly affect student academic performance.
Posterior stabilized designs in modern total knee arthroplasty: Vestigial organs

Abstract Clinical difference between posterior-stabilized (PS) and cruciate-retaining (CR) designs in total knee arthroplasty has remained elusive for decades. This classic debate has been given pause due to futile efforts to prove one design superior over the other. Recently, anterior-lipped and more conforming CR bearings have emerged to substitute for the posterior-cruciate ligament (PCL), if absent, damaged or resected, and obviate the need for the archaic cam-post mechanism of a traditional PS design. Advantages of avoiding a PS TKA include eliminating the risk of box cut induced femoral condylar fracture, operative efficiency by removing procedural steps, removing the articulation that is a source of wear, post deformation, breakage, or dislocation, and eliminating patellar clunk.
Token Sales and Initial Coin Offerings: Introduction

Token sales or initial coin offerings (ICOs) are smart contracts on a blockchain designed to raise external finance by issuing tokens or coins. This introduction provides an overview of this novel financing method. Differences between tokens and coins, types of tokens, and various ICO mechanisms are discussed. The author also describes the evolution of the ICO market and surveys some advantages of ICOs.
Ethical Considerations for AI Researchers.

Use of artificial intelligence is growing and expanding into applications that impact people's lives. People trust their technology without really understanding it or its limitations. There is the potential for harm and we are already seeing examples of that in the world. AI researchers have an obligation to consider the impact of intelligent applications they work on. While the ethics of AI is not clear-cut, there are guidelines we can consider to minimize the harm we might introduce.
Exercise-Induced Alterations in Sympathetic-Somatomotor Coupling in Incomplete Spinal Cord Injury.

Abstract The aim of this study was to understand how high- and low-intensity locomotor training (LT) affects sympathetic-somatomotor (SS) coupling in people with incomplete spinal cord injury (SCI)...
How to Join the Club: Patterns of Embeddedness and the Addition of New Members to Interorganizational Collaborations:

Using U.S. venture capital investment data from 1985 to 2008 and qualitative interviews, we examine how group dynamics influence the growth of interorganizational collaborations through the additio...
Guiding High-Performance SAT Solvers with Unsat-Core Predictions

The NeuroSAT neural network architecture was introduced in [37] for predicting properties of propositional formulae. When trained to predict the satisfiability of toy problems, it was shown to find solutions and unsatisfiable cores on its own. However, the authors saw “no obvious path” to using the architecture to improve the state-of-the-art. In this work, we train a simplified NeuroSAT architecture to directly predict the unsatisfiable cores of real problems. We modify several state-of-the-art SAT solvers to periodically replace their variable activity scores with NeuroSAT’s prediction of how likely the variables are to appear in an unsatisfiable core. The modified MiniSat solves 10% more problems on SATCOMP-2018 within the standard 5,000 second timeout than the original does. The modified Glucose solves 11% more problems than the original, while the modified Z3 solves 6% more. The gains are even greater when the training is specialized for a specific distribution of problems; on a benchmark of hard problems from a scheduling domain, the modified Glucose solves 20% more problems than the original does within a one-hour timeout. Our results demonstrate that NeuroSAT can provide effective guidance to high-performance SAT solvers on real problems.
Modifying and reacting to the environmental pH can drive bacterial interactions.

Microbes usually exist in communities consisting of myriad different but interacting species. These interactions are typically mediated through environmental modifications; microbes change the environment by taking up resources and excreting metabolites, which affects the growth of both themselves and also other microbes. We show here that the way microbes modify their environment and react to it sets the interactions within single-species populations and also between different species. A very common environmental modification is a change of the environmental pH. We find experimentally that these pH changes create feedback loops that can determine the fate of bacterial populations; they can either facilitate or inhibit growth, and in extreme cases will cause extinction of the bacterial population. Understanding how single species change the pH and react to these changes allowed us to estimate their pairwise interaction outcomes. Those interactions lead to a set of generic interaction motifs—bistability, successive growth, extended suicide, and stabilization—that may be independent of which environmental parameter is modified and thus may reoccur in different microbial systems.
Investigating Student Perceptions of a Dissection-Based Undergraduate Gross Anatomy Course Using Q Methodology

The demand for upper-level undergraduate dissection-based anatomy courses is growing, as professional programs require more advanced anatomy training prior to matriculation. To address this need, Indiana University School of Medicine (IUSM) partnered with Indiana University-Purdue University Indianapolis-a large, urban, life science-focused campus nearby to IUSM-to offer an undergraduate, dissection-based course in regional gross anatomy. Because this is a new course, a deeper post-course evaluation of student perceptions was conducted using Q methodology. In this study, Q methodology was used to evaluate student views of the overall course structure, pre-laboratory materials and activities, assessments, and quality of instruction. Of the 15 students in the spring semester 2018 cohort, 80% (n = 12) participated in the evaluation, and 10 of those students followed up with written explanations for their rationale in selecting the four statements with which they most strongly agreed and disagreed. The Q methodology sorted the students into one of three statistically significant groups: Motivated Dissectors (n = 6), Traditional Students (n = 3), and Inspired Learners (n = 3). Motivated Dissectors and Inspired Learners felt strongly that the course did not encourage self-directed learning and that the pre-laboratory materials were not adequate to prepare them for quizzes. Traditional Students, however, disagreed, having a favorable opinion of the pre-laboratory materials, even though this group felt most strongly that the amount of material covered in the course was overwhelming. This study demonstrates the utility of Q methodology to evaluate courses to elucidate student perspectives and inform future course modifications.
Measuring sequencer size bias using REcount: a novel method for highly accurate Illumina sequencing-based quantification

Quantification of DNA sequence tags from engineered constructs such as plasmids, transposons, or other transgenes underlies many functional genomics measurements. Typically, such measurements rely on PCR followed by next-generation sequencing. However, PCR amplification can introduce significant quantitative error. We describe REcount, a novel PCR-free direct counting method. Comparing measurements of defined plasmid pools to droplet digital PCR data demonstrates that REcount is highly accurate and reproducible. We use REcount to provide new insights into clustering biases due to molecule length across different Illumina sequencers and illustrate the impacts on interpretation of next-generation sequencing data and the economics of data generation.
Tone Concavity around Expected Earnings

ABSTRACT We examine whether the relationship between managerial tone and earnings performance depends on the performance of the firm relative to earnings expectations. Using both annual changes in ...
The effect of protein expression on cancer cell capture using the Human Transferrin Receptor (CD71) as an affinity ligand

Cancer cell detection in liquid biopsies has been a widely studied application in many microfluidic devices. The use of a common antibody, such as the epithelial cell adhesion molecule (Anti-EpCAM) or other specific antibodies, has facilitated the detection and study of many cancers. However, the use of such antibodies requires a priori knowledge of the cancer source, and many cancer subtypes are missed in screening applications. There remains a need to study a wider range of cancers that maintain the streamlined antibody approach in cell affinity separations. The Human transferrin receptor (CD71) has recently been demonstrated as a cancer cell affinity target in blood samples. CD71 expression in blood cells is low, whereas proliferating cancer cells have a higher expression of the surface protein. CD71 expression is variable with cell cycle, which can impact cell separations. In this work, we investigated the effects of cell cycle and CD71 expression on cell capture metrics. Six cancer cell lines were isolated from blood via CD71 affinity capture, with a capture efficiency and purity that varied with CD71 expression. Despite variation in CD71 expression, the affinity was sufficient to isolate cancer cells spiked into blood; under optimal conditions, CD71-based capture resulted in capture purity >80%. We conclude that CD71 affinity separations show potential as a biomarker for cancer studies without sacrificing sensitivity and selectivity, and that cancer cells can be isolated from liquid biopsies over a range of expression of the target protein.