cssi/SciSciGPT-SciSciNet huggingface dataset:
An evidence-based roadmap towards reducing cancer health disparities through culturally competent cancer care

B21 Purpose: Present a sustainable, evidence-based roadmap to cultural competence in cancer care that will serve as an exportable national model. Preliminary results: A comprehensive evaluation of the existing science and practice base has identified significant gaps in documenting the role of cultural competence in the fight against health disparities in cancer care. While a plethora of training material is available, no evidence-based roadmap exists to embed cultural competence across the cancer care continuum. One key impediment is the absence of validated performance measures documenting improvement in learners’ cultural competence in cancer care across the workforce pipe line. The research presented is designed to comprehensively characterize and ultimately fill the gaps identified. Methodology: this research project employs a population science approach as articulated in the operational framework and associated implementation strategy below: Operational Framework: The proposed frameworkadopts a competency-based strategy and defines cultural competence as a system issue through the lens of the three core components that form the foundation of the public health and health care system: workforce (people); organizational capacity (health care delivery institutions); knowledge management (information collection, storage, analysis and access). Each of the three components profoundly influences the ability to provide quality cancer care in general, and especially to those with special needs. The research-driven operational framework builds upon 8 key guiding principles and 8 implementation steps. Implementation Strategy: Based on the operational framework, the implementation strategy is divided into three concurrent tracks: the development of a research-based national set of cancer care cultural competencies for medical and pharmacy students arrayed by the continuum of cancer care; the development of cultural competence curricula based on the national set of competencies; and the implementation of this curriculum into the pharmacy and medicine programs at Xavier and Tulane Universities. Anticipated Outcomes: 1) A validated model of progressive cultural competence to address health disparities along the continuum of cancer care targeting the entire cancer workforce pipeline- from students to practicing cancer health professionals; 2) A national set of competencies in culturally competent cancer care; 3) A blue print for curriculum development in and integration of cultural competence in schools of pharmacy and medicine. Conclusions: Critical gaps in science exist that hamper maximizing the contribution of cultural competence to reducing health disparities in cancer. This research provides an opportunity to further characterize the gaps, and describes an evidence-based roadmap that lays the foundation to address those that are hampering pivotal progress towards culturally competent cancer care.
Experimental study of nonlinearity tolerant modulation formats based on LDPC coded non-uniform signaling

Nonlinearity tolerant 5-QAM and 9-QAM are experimentally studied for long-haul WDM transmission. Compared to QPSK and 8-QAM, the transmission reach is extended for 12% and 222% by using LDPC-coded non-uniform 5-QAM and 9-QAM, respectively.
The Need for Secure Communications Networks and Global Connectivity

comprehensive crop biosecurity plan. Communications are integral to early warning systems, the implementation of rapid response plans, and law enforcement efforts to apprehend those responsible for intentional introductions of infectious agents. The global nature of food production and distribution systems requires international networks of communications to facilitate prevention and mitigation of disease outbreaks in crop systems. Challenges exist to establishing and sustaining global communications networks for crop biosecurity. Those challenges include the appropriate design and rational deployment of securable communications systems, especially for nations with underdeveloped infrastructure and difficult terrain. Also important to achieving crop biosecurity will be the development of a basis for global connectivity that transcends political boundaries, geography, and the pressures of economic vitality. New technologies with innovative design concepts may provide solutions to only some of these challenges. The challenge of establishing mechanisms for international cooperation that do not compromise global trade needs to be addressed.
A Descriptive Analysis of the Fourth Amendment and the Third-Party Doctrine in the Digital Age

There are few areas of constitutional law that raise scholars’ ire and trouble jurists like the Fourth Amendment’s third-party doctrine. Making sense of the Court’s distinctions between content and metadata and between personal communications and business records was already difficult with physical documents and analog technologies. But the proliferation of digital technologies has rendered obsolete the factual predicates underpinning those distinctions, and courts have struggled mightily with adapting third-party rules forged over thirty years ago to new technologies. At the same time, the Supreme Court has become more explicit in fashioning distinct Fourth Amendment rules for digital technologies. In a trio of twenty-first-century decisions, the Court has made clear — often by overwhelming votes — that the old rules no longer suffice. These two strains of Fourth Amendment law are on a collision course — a collision scheduled for the Court’s October 2017 Term. In June 2017, the Court granted certiorari in Carpenter v. United States, and the question presented is whether the government needs a probable cause warrant to obtain voluminous records about a cell phone’s location — data termed cell site location information (CSLI) — from a wireless provider. In this article, we first review the Court’s twenty-first-century digital Fourth Amendment jurisprudence to tease out the Court’s differential treatment of digital technologies. We then turn to the existing third-party doctrine and attempt to make sense of the doctrine’s distinctions between content and metadata and between personal communications and business records. We examine how our understanding of the existing doctrine applies to digital information like the CSLI at issue in Carpenter. We conclude by reviewing some types of sensitive digital information that potentially lack Fourth Amendment protection under current doctrine.
The Role of the Accessory Malleolar Ossicles and Malleolar Avulsion Fractures in Lateral Ankle Ligament Reconstruction

While it is well known that ankle sprains are one of the most common injuries in the United States, predictive factors regarding failure of conservative treatment are not well known. There are many...
Does behavioral flexibility contribute to successful play among juvenile rhesus macaques

Animal play often resembles aggressive interactions, making it difficult for players and third parties to distinguish between the two types of behavior or to concur on aspects of play. In this sense, social play involves some degree of social risk, and players may benefit by behaving flexibly particularly when playing with unmatched partners. Here, we ask (1) whether social play among free-ranging juvenile rhesus monkeys (Macaca mulatta) is more likely to fail when partners are unmatched by sex, age, rank/kinship, or when their mothers are nearby and (2) whether juveniles behave flexibly to overcome these social risks. We first identify the factors contributing to play failure, by describing social attributes that are associated with negative outcomes of play. We then compare behavior for matched vs. unmatched partners by examining tendencies to (1) refrain from play, (2) engage in short play durations, and (3) use enhanced play signaling. Males were responsive to several play failure factors; they disproportionately used enhanced play signaling and played for short durations with unmatched partners, suggesting that they have social knowledge that supports attempts to cope flexibly with diverse play partners/situations. Females were less actively responsive to these factors. Although they refrained from playing with many unmatched partners, they did not adjust play tactics to the same degree. These sex differences may be related to differences in life histories; males preparing to disperse eventually may benefit from expanding their social networks through play, while philopatric females may have less need to do so. While social play provides many benefits for animals, play attempts may also involve risks of failure, from refusal by partners to escalation into aggression, particularly when players are mismatched physically or socially. Growing juveniles in despotic societies may be especially vulnerable to such risk. We ask whether juvenile rhesus monkeys behave flexibly when playing with mismatched partners in a way that may help them overcome such risks. We demonstrate that males, who typically emigrate from their natal groups, are indeed sensitive to mismatches in social characteristics or situations; they play in short durations and enhance their play signaling during play sessions involving mismatches. Females, who permanently remain in their maternal groups are less responsive. These sex differences suggest that juvenile males may hone social skills via playful interaction in preparation for emigration, while females have less need to do so.
Impulsive Enzymes: A New Force in Mechanobiology

Conversion of substrate to products by enzymatic catalysis is a fundamental process in nature. Enzyme-based biological motors perform specific cellular functions, such as DNA synthesis and vesicular transport with great precision and efficiency. ATP fueled biological motors also facilitate directed movement of cells toward chemicals or light. A key question is whether a single enzyme molecule can generate sufficient mechanical force during catalysis to perform as nanomotor, in addition to its primary function as catalyst for reactions. Herein with a series of experiments, we demonstrate that active enzymes at the single molecule level can transduce enough mechanical force to propel themselves or other larger structures autonomously in solutions. More significantly, enzymes and larger hybrid structures display collective chemotactic migration towards specific targets in the presence of substrate concentration gradients- a situation that parallels the chemotaxis of whole cells.Controlled energy transduction at the single molecule level can result in a variety of novel phenomena that are significant both from the scientific and technological standpoints. For example, enzyme chemotaxis should find wide applicability in targeted molecular transport and delivery. Chemotactic separation of biomolecules from a mixture has been demonstrated to be sensitive enough to sort out molecules possessing identical physical properties, which cannot otherwise be accomplished using currently known separation techniques. Enzymes immobilized over a surface can perform directional fluid pumping within microfluidic chambers that can be harnessed to substantially enhance the sensitivity of biomolecular detection. Finally, enhanced diffusion of particles dispersed in active enzyme solutions suggests that non-traditional enzymatic impulses could be an important source of force in the cytosolic environments, driving processes related to stochastic pulsing and convection of cytoplasmic fluid.
Network analysis reveals differential metabolic functionality in antibiotic-resistantPseudomonas aeruginosa

Metabolic adaptations accompanying the development of antibiotic resistance in bacteria remain poorly understood. To interrogate this relationship, we profiled the growth of lab-evolved antibiotic-resistant lineages of the opportunistic pathogen Pseudomonas aeruginosa across 190 unique carbon sources. We semi-automatically calculated growth dynamics (maximum growth density, growth rate, and time to mid-exponential phase) of over 2,800 growth curves. These data revealed that the evolution of antibiotic resistance resulted in systems-level changes to growth dynamics and metabolic phenotype. Drug-resistant lineages predominantly displayed decreased growth relative to the ancestral lineage; however, resistant lineages occasionally displayed enhanced growth on certain carbon sources, indicating that adaption to drug can provide a growth advantage in certain environments. A genome-scale metabolic network reconstruction (GENRE) of P. aeruginosa strain UCBPP-PA14 was paired with whole-genome sequencing data of one of the drug-evolved lineages to predict genes contributing to observed changes in metabolism. Finally, we experimentally validated in silico predictions to identify genes mutated in resistant P. aeruginosa affecting loss of catabolic function. Our results build upon previous mechanistic knowledge of drug-induced metabolic adaptation and provide a framework for the identification of metabolic limitations in antibiotic-resistant pathogens. Robust drug-driven changes in bacterial metabolism have the potential to be exploited to select against antibiotic-resistant populations in chronic infections.
Changes in lipid and proteome composition accompany growth of Bacillus subterraneus MITOT1 under supercritical CO2 and may promote acclimation to associated stresses

Recent demonstration that multiple Bacillus strains grow in batch bioreactors containing supercritical (sc) CO2 (i.e. >73 atm, >31˚C) is surprising given the recognized roles of scCO2 as a sterilant and solvent. Growth under scCO2 is of interest for biotechnological applications and for microbially-enhanced geologic carbon sequestration. We hypothesize that Bacillus spp. may alter cell wall and membrane composition in response to scCO2-associated stresses. In this study, protein expression and membrane lipids of B. subterraneus MITOT1 were profiled in cultures grown under headspaces of 1 and 100 atm of CO2 or N2. Growth under 100 atm CO2 revealed significantly decreased fatty acid branching and increased fatty acyl chain lengths relative to 1 atm cultures. Proteomes of MITOT1 grown under 1 and 100 atm pressures of CO2 and N2 were similar (Spearman R>0.65), and principal component analysis revealed variation by treatment with the first two principal components corresponding to headspace gas (CO2 or N2) and pressure (1 atm and 100 atm), respectively. Amino acid metabolic proteins were enriched under CO2, including the glycine cleavage system, previously shown to be upregulated in acid stress response. These results provide insights into the stationary phase physiology of strains grown under scCO2, suggesting modifications of cell membranes and amino acid metabolism may be involved in response to acidic, high CO2 conditions under scCO2.
Effects of Atmospheric CO2 Level on the Metabolic Response of Resistant and Susceptible Wheat to Fusarium graminearum Infection.

Rising atmospheric CO2 concentrations and associated climate changes are thought to have contributed to the steady increase of Fusarium head blight (FHB) on wheat. However, our understanding of pre...
Transactional pre-abort handlers in hardware transactional memory

Commercially available hardware transactional memory (HTM) implementations resolve a number of potentially problematic situations by aborting a transaction, rather than add the hardware complexity needed to handle each situation more gracefully. In this paper we propose pre-abort handlers, a general-purpose mechanism that invokes a software handler instead of aborting the transaction. The handler is executed non-transactionally while a transaction's execution is paused, allowing the handler to decide on and then perform the actions appropriate for the specific situation that caused the handler to be invoked. We use our pre-abort handler mechanism to salvage a transaction's already-performed work in several common scenarios, and also to allow controlled nesting of non-transactional work within a transaction, without further changes to the hardware (beyond pre-abort handler support itself). In contrast, prior work on abort mitigation and on allowing non-transactional work within transactions requires dedicated hardware support for mitigation of each type of problematic situation.
Including Sex and Gender in the Scientific Conversation.

The questions of sex in the preclinical and medical pipeline is critically important. We congratulate Clinical Chemistry as it reflects on these intersections. It is our goal to ensure that sex is included from bench to bedside—a revolutionary change in science and medicine! Now, the topic of “gender” in terms of diagnostics and treatment of human beings is frontier science. We hope here to open a dialogue about this topic in a way that results in change for our collective future. On January 25, 2016, the NIH implemented a policy that mandated the consideration of sex as a biological variable (SABV) in all grant submissions (1). Much like time, temperature, and dose, sex is a key factor in assessing biological inputs and experimental outcomes. Preceding this policy, male cells and animals were considered our scientific “baseline,” and, without mention or concern, the majority of research endeavors excluded female models (2). In the past, disease prevalence, symptomatology, and drug response in female individuals were either said to be “equal” to those in the male individuals or simply too hard to determine, ironic rationales for exclusion. Neither male individuals nor female individuals benefited from this practice. Now, investigators seeking federal funds must indicate the sex of the animal or cell type under investigation and either include both sexes or document why only one sex is necessary for the studies. As a consequence of this guidance and the work investigators will now do, we anticipate great progress in the medical pipeline for all people. Now that policy exists for sex inclusion, where might we expect advances? Let us take Alzheimer disease. Research on …
Flux-Pinned Dynamics Model Parameterization and Sensitivity Study

Flux-pinned interfaces maintain a passively stable equilibrium between two spacecraft in close proximity. Although flux-pinning physics has been studied from a materials science perspective and at ...
Maxillary Osteomyelitis with an Incidental Diagnosis of Maxillary Diffuse Large B-Cell Lymphoma: A Case Report

Raoultella planticola osteomyelitis is rarely reported in the literature. The most likely source in our case is the oral microbiome secondary to the tooth extraction. Herein we present a case of Raoultella planticola osteomyelitis of the jaw that leads to the diagnosis of diffuse large B-cell lymphoma (DLBCL) of the jaw. A 75-year-old male with no significant medical history, presented to the emergency department with right upper jaw pain after he had a tooth extraction a week before his presentation. Computed tomography (CT) scan of the face showed concerns of right maxillary osteomyelitis with soft tissue swelling and prominent cervical lymph nodes. He underwent a bone biopsy of the maxilla and was started on intravenous ampicillin-sulbactam. His bone culture grew pan-sensitive Raoultella planticola. in addition to that, his bone biopsy revealed diffuse large B-cell lymphoma of the jaw. The patient underwent staging imaging, and he was found to have metastasis to the liver. He was started on chemotherapy and had a good response. In conclusion, Raoultella planticola osteomyelitis is extremely rare. The diagnosis of maxillary DLBCL can be a challenge. Fortunately, our patient had an infection at the same site that led to the diagnosis of DLBCL.
Effects of air-injection pressure on airflow pattern of air sparging

Air sparging is a remediation technology for treating soil/groundwater contaminated with volatile organic compounds (VOCs). VOC removal during air sparging is rendered less effective because of the...
Bib Data Shocks:An Introduction to Big Data for Librarians and Information Professionals: by Andrew Weiss, Lanham, MD, Rowman & Littlefield, 2018, 218 pp., $90.00 (Hardback), ISBN: 978-1-5381-0322-7, $45.00 (Paperback), ISBN: 978-1-5381-0323-4, $42.50 (E-book), ISBN: 978-1-5381-0324-1

This book is approximately the 40th volume in the LITA (Library Information Technology Association) Guides series which dates back to 2007. The author, a digital services librarian at California St...
Machine Learning Analysis of Mortgage Credit Risk

In 2008, the US experienced the worst financial crisis since the Great Depression of the 1930s. The 2008 recession was fueled by poorly underwritten mortgages in which a high percentage of less-credit-worthy borrowers defaulted on their mortgage payments. Although the market has recovered from that collapse, we must avoid the pitfalls of another market meltdown. Greed and overzealous assumptions fueled that crisis and it is imperative that bank underwriters properly assess risks with the assistance of the latest technologies. In this paper, machine learning techniques are utilized to predict the approval or denial of mortgage applicants using predicted risks due to external factors. The mortgage decision is determined by a two-tier machine learning model that examines micro and macro risk exposures. In addition a comparative analysis on approved and declined credit decisions was performed using logistic regression, random forest, adaboost, and deep learning. Throughout this paper multiple models are tested with different machine learning algorithms, but time is the key driver for the final candidate model decision. The results of this study are fascinating and we believe that this technology will offer a unique perspective and add value to banking risk models to reduce mortgage default percentages.
Visible Light-Induced Borylation of C–O, C–N, and C–X Bonds

Boronic acids are centrally important functional motifs and synthetic precursors. Visible light-induced borylation may provide access to structurally diverse boronates, but a broadly efficient photocatalytic borylation method that can effect borylation of a wide range of substrates, including strong C-O bonds, remains elusive. Herein, we report a general, metal-free visible light-induced photocatalytic borylation platform that enables borylation of electron-rich derivatives of phenols and anilines, chloroarenes, as well as other haloarenes. The reaction exhibits excellent functional group tolerance, as demonstrated by the borylation of a range of structurally complex substrates. Remarkably, the reaction is catalyzed by phenothiazine, a simple organic photocatalyst with MW < 200 that mediates the previously unachievable visible light-induced single electron reduction of phenol derivatives with reduction potentials as negative as approximately - 3 V versus SCE by a proton-coupled electron transfer mechanism. Mechanistic studies point to the crucial role of the photocatalyst-base interaction.
Responsiveness of the Patient-reported Outcomes Measurement Information System (PROMIS) Pediatric Measures to Changes in Disease Status and Quality of Life Among Children and Adolescents With Crohn's Disease.

BACKGROUND PROMIS Pediatric domains provide self-reported measures of physical, emotional, and social health in children with chronic conditions. We evaluated the responsiveness of the PROMIS Pediatric measures to changes in disease activity and disease-specific, health-related quality of life (HRQOL) in children with Crohn's disease (CD). METHODS IBD Partners Kids & Teens is an internet-based cohort of children with inflammatory bowel disease (IBD). Participants age 9 to 17 report symptoms related to disease activity (short Crohn's Disease Activity Index [sCDAI]), the IMPACT-III HRQOL measure, and 5 PROMIS Pediatric domains. We conducted longitudinal analyses using mixed linear models to examine the extent to which PROMIS Pediatric measures respond to changes in sCDAI and IMPACT-III. RESULTS Our study sample included 544 participants with CD (mean age 13 years, 44% female). All PROMIS Pediatric domains responded to changes in sCDAI, indicating improved physical, emotional, and social health, corresponding to improved disease activity and the converse (P < 0.001). Observed effect estimates ranged from 1.8 for peer relationships to 6.8 for fatigue. Of 246 participants with 2 or more completed reports, disease activity was stable in 527, worse in 72, and improved in 67. Changes in PROMIS Pediatric scores were associated with changes in IMPACT-III (r = -0.43 for anxiety, r = -0.45 for depressive symptoms, r = -0.43 for pain interference, r = -0.59 for fatigue, and r = 0.23 for peer relationships). CONCLUSIONS This study provides evidence for the longitudinal responsiveness of the PROMIS Pediatric measures to change in disease status and HRQOL in pediatric CD patients.
The Deployment of a LoRaWAN-Based IoT Air Quality Sensor Network for Public Good

The goals of this project are to implement a LoRaWAN-based network of air quality sensors in Charlottesville and to use its data to generate a comparative spatial model of air quality before and during the COVID-19 outbreak. The implementation of this network required the distribution of “The Things Network” (TTN) LoRa gateways and our own custom-made sensor kits to volunteers distributed throughout the city. Our sensor kits measure temperature, humidity, CO2, and Particulate Matter (PM) 2.5 and 10, allowing us to take measurements in line with the EPA’s air quality index as well as to keep up with modern trends in research showing the importance of CO2 as an air quality metric. Preliminary spatial analysis comparing air quality before and after March 11, 2020, the day that UVA announced all classes would move online, shows a near universal decline in carbon dioxide levels, but inconclusive changes in particulate matter.
Application of Dynamic Adaptive Planning and Risk-Adjusted Decision Trees to Capture the Value of Flexibility in Resilience and Transportation Planning:

Transportation infrastructure around the world is under pressure to perform with ever-changing climate scenarios, unpredictable disasters, and stress on resources stemming from rapid urbanization a...
Assessment and treatment of Down syndrome-associated arthritis: a survey of pediatric rheumatologists

Inflammatory arthritis in children with Down syndrome (DS) was first described in 1984 and is now termed Down syndrome-associated arthritis (DA). Studies have shown that DA is under-recognized with a 19-month average delay in diagnosis. Additionally, most patients present with polyarticular, rheumatoid factor (RF) and anti-nuclear antibody (ANA) negative disease. Current therapies for juvenile idiopathic arthritis (JIA) have been used, but appear to be poorly tolerated, more toxic and less effective in patients with DA. There is currently no standardized approach to the assessment or management of DA. The objective of this study was to describe provider perspectives toward diagnostic and treatment approach of DA, to provide baseline information upon which to design future studies. An electronic survey, organized into sections regarding individual practices of assessment and treatment approach of DA, was sent to the Pediatric Rheumatology electronic list-serv. Survey responses were voluntary and results were analyzed by descriptive statistics. Of 90 survey responses received, 89 were included in the analysis (one was a duplicate response). The respondents were mostly pediatric rheumatologist (94%), with greater than 10 years of experience (55%). The majority (64%) currently see 1–3 patients with DA. Most view DA as the same disease as JIA (73%), and the majority (63%) use a combination of history, exam and imaging to diagnose DA. The most ordered diagnostic tests are CBC (97%) and ESR (96%). The most used treatments include NSAIDs (94%) and methotrexate (91%) followed by anti-TNF agents (90%). Methotrexate is most administered by subcutaneous route (84%) at a dose of 15 mg/m2 (56%). Oral corticosteroids were only used in 19% of the patients with DA. This is the first study to evaluate provider perspectives towards the diagnostic and treatment approach of DA. Most pediatric rheumatologists feel that DA and JIA are synonymous, and similar approaches to diagnosis are employed, utilizing history, physical exam, laboratory tests, and imaging modalities. DA is treated similarly to JIA with initiation of NSAIDs, disease-modifying anti-rheumatic drugs and biologic therapy. More research is needed to determine optimal screening and therapeutic approach specific to DA.
Complete abdomen and pelvis segmentation using U-net variant architecture.

Purpose Organ segmentation of computed tomography (CT) imaging is essential for radiotherapy treatment planning. Treatment planning requires segmentation not only of the affected tissue, but nearby healthy organs-at-risk, which is laborious and time-consuming. We present a fully automated segmentation method based on the three-dimensional (3D) U-Net convolutional neural network (CNN) capable of whole abdomen and pelvis segmentation into 33 unique organ and tissue structures, including tissues that may be overlooked by other automated segmentation approaches such as adipose tissue, skeletal muscle, and connective tissue and vessels. Whole abdomen segmentation is capable of quantifying exposure beyond a handful of organs-at-risk to all tissues within the abdomen. Methods Sixty-six (66) CT examinations of 64 individuals were included in the training and validation sets and 18 CT examinations from 16 individuals were included in the test set. All pixels in each examination were segmented by image analysts (with physician correction) and assigned one of 33 labels. Segmentation was performed with a 3D U-Net variant architecture which included residual blocks, and model performance was quantified on 18 test cases. Human interobserver variability (using semiautomated segmentation) was also reported on two scans, and manual interobserver variability of three individuals was reported on one scan. Model performance was also compared to several of the best models reported in the literature for multiple organ segmentation. Results The accuracy of the 3D U-Net model ranges from a Dice coefficient of 0.95 in the liver, 0.93 in the kidneys, 0.79 in the pancreas, 0.69 in the adrenals, and 0.51 in the renal arteries. Model accuracy is within 5% of human segmentation in eight of 19 organs and within 10% accuracy in 13 of 19 organs. Conclusions The CNN approaches the accuracy of human tracers and on certain complex organs displays more consistent prediction than human tracers. Fully automated deep learning-based segmentation of CT abdomen has the potential to improve both the speed and accuracy of radiotherapy dose prediction for organs-at-risk.
What do students know about evolution by natural selection after a non-majors geology course? An analysis of student responses to open-ended questions

Most of the research on student understanding of evolution by natural selection has focused on undergraduate biology courses for science majors. However, the majority of undergraduates in the Unite...
New treatments for PsA meet targeted therapy goals.

Interest in therapies for psoriatic arthritis (PsA) has increased in response to recognition that many patients remain undiagnosed and are inadequately treated. In 2020, advances in PsA treatments have included phase III trials of an IL-23 inhibitor, head-to-head trials of IL-17 inhibition against TNF inhibition and updated EULAR treatment guidelines.
Erythroblastic sarcoma transformation from a chronic myeloid neoplasm with FGFR1 rearrangement presenting as a pleural effusion: a case report

Myeloid/lymphoid neoplasms with FGFR1 rearrangement (MLN-FGFR1) comprise a heterogeneous group of neoplasms that can present as a myeloproliferative neoplasm, a myelodysplastic/myeloproliferative neoplasm, acute myeloid leukemia, T or B lymphoblastic leukemia/lymphoma, or mixed phenotype acute leukemia. The overall outcome of these neoplasms is poor, and these patients often show cytogenetic evolution with gain of additional chromosomal abnormalities leading to transformation to acute leukemia. Pure erythroid leukemia and erythroblastic sarcoma evolving from a preexisting chronic myeloid neoplasm have rarely been described; however, this has not been reported in MLN-FGFR1. Herein we describe a biopsy-proven chronic myeloid neoplasm with FGFR1 rearrangement with transformation to erythroblastic sarcoma presenting as a pleural effusion.
Learning to Swim: How to Survive in the Deep End of Unfamiliar Course Material

As institutions of higher learning increasingly rely on contingent faculty members to carry the load of required courses, more and more new contingent faculty find themselves thrown into the “deep end” of teaching in areas outside of their fields. By focusing on broader learning goals, appealing to the power of story, and emphasizing real-life application by incorporating experiential learning, these faculty members can make almost any course feel like a course they are qualified to teach. Furthermore, they can allow their wonder at learning new material inspire students to embrace unfamiliar topics as well.
Estrogenic activity of lignin-derivable alternatives to bisphenol A assessed via molecular docking simulations

Lignin-derivable bisphenols are potential alternatives to bisphenol A (BPA), a suspected endocrine disruptor; however, a greater understanding of structure–activity relationships (SARs) associated with such lignin-derivable building blocks is necessary to move replacement efforts forward. This study focuses on the prediction of bisphenol estrogenic activity (EA) to inform the design of potentially safer BPA alternatives. To achieve this goal, the binding affinities to estrogen receptor alpha (ERα) of lignin-derivable bisphenols were calculated via molecular docking simulations and correlated to median effective concentration (EC50) values using an empirical correlation curve created from known EC50 values and binding affinities of commercial (bis)phenols. Based on the correlation curve, lignin-derivable bisphenols with binding affinities weaker than ∼−6.0 kcal mol−1 were expected to exhibit no EA, and further analysis suggested that having two methoxy groups on an aromatic ring of the bio-derivable bisphenol was largely responsible for the reduction in binding to ERα. Such dimethoxy aromatics are readily sourced from the depolymerization of hardwood biomass. Additionally, bulkier substituents on the bridging carbon of lignin-bisphenols, like diethyl or dimethoxy, were shown to weaken binding to ERα. And, as the bio-derivable aromatics maintain major structural similarities to BPA, the resultant polymeric materials should possess comparable/equivalent thermal (e.g., glass transition temperatures, thermal decomposition temperatures) and mechanical (e.g., tensile strength, modulus) properties to those of polymers derived from BPA. Hence, the SARs established in this work can facilitate the development of sustainable polymers that maintain the performance of existing BPA-based materials while simultaneously reducing estrogenic potential.
Physician Rating Websites: Do Radiologists Have an Online Presence?

Abstract Purpose Given that patient satisfaction and provider transparency intersect on online physician-rating websites, we aimed to assess radiologist representation on these increasingly popular sites. Methods From a directory of all Medicare participating physicians, we randomly selected 1,000 self-designated diagnostic radiologists and manually extracted their rating information from five popular online physician-review websites (HealthGrades, Healthcare Reviews, RateMDs, Kudzu, and Yelp). Using automated web "data-scraping" techniques, we separately extracted all radiologist and nonradiologist rating information from a single amenable site (Healthcare Reviews). Rating characteristics were analyzed. Results Of 1,000 sampled self-designated diagnostic radiologists representing all 50 states, only 197 (19.7%) were profiled on any of the five online physician-review websites. Only 24 (2.4%) were rated on two of the sites, and none was profiled on ≥3 sites. Of all 6,775 physicians listed on a single electronically interrogated site, only 30 (0.4%) were radiologists. With 28,555 (5.2%) of all 547,849 Medicare-participating physicians identified as diagnostic radiologists, radiologists were thus significantly underrepresented online ( P P = .22), radiologists were rated (on a low to high score of 1 to 10) significantly higher than nonradiologists (median 8.5 versus 5, P = .04). Conclusions Most diagnostic radiologists are not profiled on common online physician-rating websites, and they are significantly underrepresented compared with nonradiologists. Reviewed radiologists, however, scored favorably. Given the potential for patient satisfaction scores and public domain information to affect referrals and future value-based payments, initiatives to enhance radiologists' online presence are advised.
Configuration selection for fusion of range and Doppler measurements from multistatic radars for air collision warning

A requisite for unmanned aircraft systems (UAS) to operate within a controlled airspace is a capability to sense and avoid collisions with non-cooperative aircraft. Ground-based transmitters and UAS-mounted receivers are preferred due to the limitations on the size, weight and power of UAS. This paper assumes a constant velocity motion of an intruder (target) aircraft and presents a method to estimate the state (motion parameters — position and velocity) of the target so as to predict the closest point of approach. Bistatic range and Doppler are assumed the only measurements available, with the employment of low-cost omni-directional antennas. Several configurations are investigated from a parameter observability point of view. It turns out that one needs three transmitters in a general three-dimensional (3-D) scenario to achieve very good observability of the target motion parameter. With the assumption that the target is at the same altitude as the ownship, one has a two-dimensional (2-D) scenario in which two transmitters are required to have good observability. Simulation results show that the maximum likelihood (ML) estimate of the target parameter using iterated least squares (ILS) search is statistically efficient in both multistatic configurations with good observability. The collision warning is formulated as a hypothesis testing problem using a generalized likelihood function. The warning algorithm has no missed detection of a collision event in either configuration. It has a lower false alarm rate in a 3-D scenario than in a 2-D scenario at the expense of one more ground-based transmitter.
Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches

The RoboCup (robot world-cup soccer) effort, initiated to stimulate research in multi-agents and robotics, has blossomed into a significant effort of international proportions. RoboCup is simultaneously a fundamental research effort and a set of competitions for testing research ideas. At IJCAI'97, a broad research challenge was issued for the RoboCup synthetic agents, covering areas of multi-agent learning, teamwork and agent modeling. This paper outlines our attack on the entire breadth of the RoboCup research challenge, on all of its categories, in the form of two fielded, contrasting RoboCup teams, and two off-line soccer analysis agents. We compare the teams and the agents to generalize the lessons learned in learning, teamwork and agent modeling.
Edith Wharton and the Politics of Race: Invaders and Aborigines: playing Indian in the Land of Letters

Edith Wharton's 1934 memoir, A Backward Glance , begins on a curious note of historical rupture. Recalling the New York birthplace of her father, George Frederic Jones, Wharton describes a “pretty country house with classic pilasters and balustraded roof” on land that eventually became East Eighty-first Street. Although the original dwelling has long since disappeared, an heirloom print shows a columned residence with “a low-studded log-cabin adjoining it under the elms” (17). According to family legend, the rustic cabin was actually the “aboriginal Jones habitation,” and its colonnaded neighbor a later addition. Wharton, however, doubts the veracity of this account. The log cabin was not, in all likelihood, the family's ancestral seat, she remarks; it was “more probably the slaves' quarters” (18). The rapidity with which this picture of Yankee self-reliance dissolves into its uncanny double – a repressed portrait of African enslavement – is as breathtaking as it is blunt. For all of its Lincolnian connotations, the Jones log cabin inexorably betrays the system of forced servitude that sustained the Jones family's economic, social and political ascent. Indeed, Wharton's account betrays what Susan Scheckel calls “the fundamental ambivalences of American national identity … the deep ambivalence of a nation founded on the conceptual assertion of natural right and the actual denial of … natural rights” to Indians, African Americans and women (14).
Historical Development of Cable-Stayed Bridges

The development of cable-stayed bridges is traced from 1784 to the present. The first modern cable-stayed bridge, the Stromsund Bridge, was completed in 1955 in Sweden. Economic comparisons indicate that cable-stayed bridges fill the void between continuous girder bridges and suspension bridges. In a direction transverse to the longitudinal axis of the bridge, there are two basic cable arrangements; either a single or double plane. In elevation, there are four basic cable configurations: radiating, harp, fan and the star. Cable-stayed bridge towers are of various types to suit site conditions, design conditions and cable geometry. Various types of bridge decks have been employed; a few have been of prestressed concrete, but for the most part they have been steel bridge decks. Three types of strand configuration are employed in the cables: the helically wound, parallel wire and the locked coil strand.
Approximating Circular Arc Colouring and Bandwidth Allocation in All-Optical Ring Networks

We present randomized approximation algorithms for the circular arc graph colouring problem and for the problem of bandwidth allocation in all-optical ring networks. We obtain a factor-of-(1+1/e+o(1)) randomized approximation algorithm for the arc colouring problem, an improvement over the best previously known performance ratio of 5/3. For the problem of allocating bandwidth in an all-optical WDM (wavelength division multiplexing) ring network, we present a factor-of-(1.5+1/2e+o(1)) randomized approximation algorithm, improving upon the best previously known performance ratio of 2.
Credential disconnection: a Marxist analysis of college graduate underemployment

Despite the world slowly recovering from the 2008 recession and reducing levels of unemployment, the problem of underemployment persists. Underemployment is a problematic work status determined by an array of factors, including hours worked, comparative wages, and various subjective elements. This particular employment condition is affecting a great number of college graduates, specifically in the realms of subjective underemployment where the skills and education obtained in one’s college experiences are not utilized in one’s occupation. In this way, college graduate underemployment (CGU) is the product of a dialectical interplay between higher education institutions and the world of work. A Marxist analysis is utilized here to parse out the nuances of this relation. Marx’s original examination of capitalism illustrates how the forces of capital manipulate labor power as a commodity. Capitalist manipulation, coupled with technological dynamism and automation, gradually appropriate skills from the worker ...
IR Imaging of Moderate-Z Galaxy Clusters

We present the first results of an IR imaging program to study galaxy evolution in moderate redshift galaxy clusters.
The Influence of the Entrepreneur's Education Level on Strategic Decision Making

The Entrepreneurship literature includes many studies focusing upon antecedents of entrepreneurial behavior and performance, but a specific focus upon education as an antecedent has been minimal. This study of 184 small businesses specifically tests the relationship between two variables: 1) the owner/manager's level of formal education and 2) his or her choice of entrepreneurial strategies for the business. To measure strategy, the Entrepreneurial Strategy Matrix, a situational model which suggests appropriate entrepreneurial strategies for both new and ongoing ventures, was utilized. As discussed below, certain limited relationships between these two variables were found. The implications of these findings and the opportunities for future research are presented. This study and its conclusions advance the literature of entrepreneurship and offer implications for those who study and/or assist small business owners and managers.
Violence prevention: a call to action.

The Landscape Of Children9s Health Issues Is Changing. While This Is Obvious To Most Pediatricians, Few Would Have Predicted, Even A Decade Ago, The Prominence Of Violence And Violent Injuries In The Present Landscape Facing Children And Youth. What Was Once Seen And Addressed As A Problem Confined To Certain Populations, Particularly Poor And Minority Youth, Is Now Increasingly Visible Throughout The Nation, Crossing All Socioeconomic Boundaries, Affecting Rural, Suburban, And Urban Communities. In Just A Few Years, If Current Trends Continue, Guns Will Kill More Us Children And Youth Than Automobiles.1 Pediatricians And Other Health Professionals Concerned About Children Must Face This Issue Head-On And Must Participate In Efforts To Turn The Tide On Violence And Its Effects On Children. The Key Is To Better Understand The Underlying Risks And Contributing Factors Surrounding This Growing Epidemic And To Clearly Define Our Role, As Individual Pediatricians And At The Professional Organizational Level, In Working To Reduce Those Risks. The Papers Contained In This Supplement Present A Broad Overview Of Some Of The Key Factors Related To Violence As Well As An Overview Of What Is Known About The Responses To These Factors. Four Of The Papers Specifically Focus On How Violent Behavior Is Learned By And Reinforced In Children At Home,2,3 In The Community,4 And Through The Media.5 One Paper Takes A Look At The Role Of Firearms, Particular Hand-Guns, In This Epidemic.6 The Last Three Papers Describe And Review Strategies For Reduction Of Violence In The Community,7 In The Media,8 And Through Advocacy At The State And National Levels.9
On three questions concerning ${0,1}$-polynomials

Nous repondons a trois questions concernant la reductibilite (ou irreductibilite) de 0,1-polynomes, polynomes qui n'ont pour seuls coefficients que 0 ou 1. La premiere question est de determiner si une suite de polynomes qui se presente naturellement est finie. Deuxiemement, nous discutons si tout sous-ensemble fini d'un ensemble infini de nombres entiers positifs peut etre l'ensemble des exposants d'un 0,1-polynome reductible. La troisieme question est similaire, mais pour l'ensemble des exposants d'un polynome irreductible.
Bidirectional effects of inhibiting or potentiating NMDA receptors on extinction after cocaine self-administration in rats.

Rationale Extinction of drug seeking is facilitated by NMDA receptor (NMDAr) agonists, but it remains unclear whether extinction is dependent on NMDAr activity.