bluuebunny/crossref_metadata_2025_split huggingface dataset:
Introduction: The Labor of Culture
Authors: Clark Shannan 
Published: November 2020

Abstract
This introduction provides an overview of the The Making of the American Creative Class. It opens with a vignette narrating the successful unionization by white-collar workers at the Manhattan headquarters of the CBS network during the mid-1940s, which was exemplary of the larger movement of culture workers in mid-twentieth century New York that organized to challenge both the managerial prerogatives and ideological imperatives of consumer capitalism. The introduction also elucidates the book’s central premise, which is that its historical subjects—New York’s white-collar workers in publishing, advertising, broadcasting, and design—were at the intersection of two major trends in the twentieth-century United States: the expanding production and circulation of a pervasive culture of consumer capitalism, and the transformation of the middle class from a social grouping of proprietors and independent professionals to one comprised primarily of salaried employees.
Creativity and Consumer Capitalism in the Affluent Society
Authors: Clark Shannan 
Published: November 2020

Abstract
Chapter 7 explores how the ideal of creativity evolved within the postwar culture industries, with a particular focus on developments in advertising and industrial design. Following the defeat of the Popular Front, many culture workers from the mid-1950s through the early 1970s came to believe that their rising affluence set them in a new realm of freedom beyond necessity. Nonetheless, the ethos of creativity in postwar America clashed with the forces of consumer capitalism that still constrained the autonomy of culture workers. This tension was particularly evident in the creative revolution that swept New York’s advertising industry during the 1960s, but, as the chapter shows, it also influenced the evolution of industrial design theory and practice during the heyday of postwar prosperity.
miR-322/miR-503 clusters regulate defective myoblast differentiation in myotonic dystrophy RNA-toxic by targeting Celf1
Authors: Dong Wei , Liu Qian , Wang Zhi-Chao , Du Xing-Xiang , Liu Lei-Lei , Wang Nan , Weng Jun-Fei , Peng Xiao-Ping 
Published: November 2020

Abstract
Myotonic dystrophy (DM) is a genetic disorder featured by muscular dystrophy. It is caused by CUG expansion in the myotonic dystrophy protein kinase gene that leads to aberrant signaling and impaired myocyte differentiation. Many studies have shown that microRNAs are involved in the differentiation process of myoblasts. The purpose of this study was to investigate how the miR-322/miR-503 cluster regulates intracellular signaling to affect cell differentiation. The cell model of DM1 was employed by expressing GFP-CUG200 or CUGBP Elav-like family member 1 (Celf1) in myoblasts. Immunostaining of MF-20 was performed to examine myocyte differentiation. qRT-PCR and western blot were used to determine the levels of Celf1, MyoD, MyoG, Mef2c, miR-322/miR-503, and mitogen-activated protein kinase/extracellular signal-regulated kinase (MEK/ERK) signaling. Dual luciferase assay was performed to validate the interaction between miR-322/miR-503 and Celf1. CUG expansion in myoblasts impaired the cell differentiation, increased the Celf1 level, but it decreased the miR-322/miR-503 levels. miR-322/miR-503 mimics restored the impaired differentiation caused by CUG expansion, while miR-322/miR-503 inhibitors further suppressed. miR-322/miR-503 directly targeted Celf1 and negatively regulated its expression. Knockdown of Celf1 promoted myocyte differentiation. Further, miR-322/miR-503 mimics rescued the impaired differentiation of myocytes caused by CUG expansion or Celf1 overexpression through suppressing of MEK/ERK signaling. miR-322/miR-503 cluster recover the defective myocyte differentiation caused by RNA-toxic via targeting Celf1. Restoring miR-322/miR-503 levels could be an avenue for DM1 therapy.
Bone marrow mesenchymal cells: polymorphism associated with transformation of rough endoplasmic reticulum
Authors: Ru Yong-Xin , Dong Shu-Xu , Xu Chun-Hui , Zhao Shi-Xuan , Zhang Hua-Mei , Liang Hao-Yue , Fen Min , Zhang Feng-Kui , Gao Ying-Dai , Qi Shu-Lin , Shang Hong-Cai 
Published: November 2020

Abstract
To understand the behavior and function of bone-marrow mesenchymal cells (BMMCs), we overviewed the morphological presentation of BMMCs in bone-marrow granules (b-BMMCs), isolated BMMCs (i-BMMCs), and BMMCs (c-BMMCs) cultured in H4434 methylcellulose semisolid and MEM media. All samples were derived from bone-marrow aspirates of 30 patients with hematocytopenia. Light microscopy exhibited b-BMMCs and i-BMMCs characterized by abundant cytoplasm and irregular shape in bone-marrow smears, as well as c-BMMCs in culture conditions. Scanning electron microscopy demonstrated cultured c-BMMCs with a sheet-like feature enveloping hematopoietic cells. Transmission electron microscopy revealed b-BMMCs constructing a honeycomb-like structure by thin bifurcate processes among hematopoietic cells. Furthermore, i-BMMCs had bifurcate parapodiums on the surface and prominent rough endoplasmic reticulum (rER) connected with the plasmalemma of the parapodiums. The detailed images suggested that rER may serve as a membrane resource for plasmalemmal expansion in BMMCs in bone marrow.
Lamellar Dissection Technique for Traumatic Cataract With Corneal Incarceration
Authors: Hamad Julia B. , Sivaraman Kavitha R. , Snyder Michael E. 
Published: November 2020

Purpose:
To describe a technique for traumatic cataract management for cases in which part of the anterior capsule has been incarcerated into a healed corneal laceration.

Methods:
This is a single-center retrospective chart review of 3 patients with capsular/corneal incarceration after penetrating injury. Each patient underwent primary globe repair, followed by subsequent cataract surgery with intraocular lens (IOL) and iris prosthesis placement. The main outcome measure was corrected distance visual acuity.

Results:
At a mean of 19-month postoperative follow-up (range 12–26 mo), corrected distance visual acuity ranged from 20/25 to 20/80 and all patients had improved vision compared with before cataract surgery. At the final follow-up, all IOLs and iris prostheses were in stable position and no eyes required corneal transplantation.

Conclusions:
Traumatic cataracts may be complicated by incarceration of the anterior capsule into the cornea. Incorporating the posterior aspect of the cornea into the anterior capsulotomy enables cataract removal and IOL placement in a stable capsular bag complex.
Bilateral Descemet Membrane Endothelial Keratoplasty in an Infant With Congenital Hereditary Endothelial Dystrophy
Authors: Wu Frances , Oatts Julius T. , Schallhorn Julie M. 
Published: November 2020

Purpose:
Descemet membrane endothelial keratoplasty (DMEK) has been reported in children but not in infants. We evaluate the outcomes and complications of DMEK for an infant with congenital hereditary endothelial dystrophy.

Methods:
A 3-month-old male infant with congenital hereditary endothelial dystrophy underwent unilateral DMEK, which was complicated by incomplete graft unfurling. Bilateral DMEK was then performed successfully. The visual acuity, pachymetry, corneal transparency, and complications were assessed over 3 months of follow-up.

Results:
At 3 months postoperatively, the nystagmus had resolved and visual acuity improved from 20/2000 to 20/270 in each eye. Pachymetry, which had been unmeasurable preoperatively, was 695 μm in the right eye and 678 μm in the left eye. On examination, there was improvement in corneal transparency bilaterally. There were no postoperative complications.

Conclusions:
We demonstrate that DMEK is feasible in infants and propose that it should be considered in the treatment of corneal endothelial disorders of infancy. In theory, DMEK might confer improved visual potential and lower risk for rejection compared with other corneal transplantation techniques, although further studies in this age group are needed.
High throughput wastewater SARS-CoV-2 detection enables forecasting of community infection dynamics in San Diego county
Authors: Karthikeyan Smruthi , Ronquillo Nancy , Belda-Ferre Pedro , Alvarado Destiny , Javidi Tara , Longhurst Christopher A. , Knight Rob 
Published: November 2020

AbstractLarge-scale wastewater surveillance has the ability to greatly augment the tracking of infection dynamics especially in communities where the prevalence rates far exceed the testing capacity. However, current methods for viral detection in wastewater are severely lacking in terms of scaling up for high throughput. In the present study, we employed an automated magnetic-bead based concentration approach for viral detection in sewage that can effectively be scaled up for processing 24 samples in a single 40-minute run. The method compared favorably to conventionally used methods for viral wastewater concentrations with higher recovery efficiencies from input sample volumes as low as 10ml and can enable the processing of over 100 wastewater samples in a day. The sensitivity of the high-throughput protocol was shown to detect cases as low as 2 in a hospital building with a known COVID-19 caseload. Using the high throughput pipeline, samples from the influent stream of the primary wastewater treatment plant of San Diego county (serving 2.3 million residents) were processed for a period of 13 weeks. Wastewater estimates of SARS-CoV-2 viral genome copies in raw untreated wastewater correlated strongly with clinically reported cases by the county, and when used alongside past reported case numbers and temporal information in an autoregressive integrated moving average (ARIMA) model enabled prediction of new reported cases up to 3 weeks in advance. Taken together, the results show that the high-throughput surveillance could greatly ameliorate comprehensive community prevalence assessments by providing robust, rapid estimates.ImportanceWastewater monitoring has a lot of potential for revealing COVID-19 outbreaks before they happen because the virus is found in the wastewater before people have clinical symptoms. However, application of wastewater-based surveillance has been limited by long processing times specifically at the concentration step. Here we introduce a much faster method of processing the samples, and show that its robustness by demonstrating direct comparisons with existing methods and showing that we can predict cases in San Diego by a week with excellent accuracy, and three weeks with fair accuracy, using city sewage. The automated viral concentration method will greatly alleviate the major bottleneck in wastewater processing by reducing the turnaround time during epidemics.
Recommendations from long-term care reports, commissions, and inquiries in Canada
Authors: Wong Eric KC , Thorne Trina , Estabrooks Carole , Straus Sharon E 
Published: November 2020

AbstractBackgroundMultiple long-term care (LTC) reports over the last 30 years issued similar recommendations for improvement across Canadian LTC homes. Our primary objective was to identify the most common recommendations made over the past 10 years. Our secondary objective was to estimate the total cost of studying LTC issues repeatedly over the past 30 years.MethodsThe qualitative and cost analyses were conducted in Canada from July to October 2020. Using a list of reports, inquiries and commission from The Royal Society of Canada Working Group on Long-Term Care, we coded recurrent recommendations in LTC reports. We contacted the sponsoring organizations for a cost estimate, including direct and indirect costs. All costs were adjusted to 2020 Canadian dollar values.ResultsOf the 80 Canadian LTC reports spanning the years of 1998 to 2020, twenty-four (30%) were based on a national level and 56 (70%) were focused on provinces or municipalities. Report length ranged from 4 to 1491 pages and the median number of contributors was 14 (interquartile range, IQR, 5–26) per report. The most common recommendation was to increase funding to LTC to improve staffing, direct care and capacity (67% of reports). A median of 8 (IQR 3.25– 18) recommendations were made per report. The total cost for all 80 reports was estimated to be $23,626,442.78.InterpretationProblems in Canadian LTC homes and their solutions have been known for decades. Despite this, governments and non-governmental agencies continue to produce more reports at a monetary and societal cost to Canadians.
The stochastic dynamics of early epidemics: probability of establishment, initial growth rate, and infection cluster size at first detection
Authors: Czuppon Peter , Schertzer Emmanuel , Blanquart François , Débarre Florence 
Published: November 2020

AbstractEmerging epidemics and local infection clusters are initially prone to stochastic effects that can substantially impact the epidemic trajectory. While numerous studies are devoted to the deterministic regime of an established epidemic, mathematical descriptions of the initial phase of epidemic growth are comparatively rarer. Here, we review existing mathematical results on the epidemic size over time, and derive new results to elucidate the early dynamics of an infection cluster started by a single infected individual. We show that the initial growth of epidemics that eventually take off is accelerated by stochasticity. These results are critical to improve early cluster detection and control. As an application, we compute the distribution of the first detection time of an infected individual in an infection cluster depending on the testing effort, and estimate that the SARS-CoV-2 variant of concern Alpha detected in September 2020 first appeared in the United Kingdom early August 2020. We also compute a minimal testing frequency to detect clusters before they exceed a given threshold size. These results improve our theoretical understanding of early epidemics and will be useful for the study and control of local infectious disease clusters.
On short-term trends and predictions for COVID-19 in France and the USA: comparison with Australia
Authors: Tuckwell Henry C. , Dorraki Mohsen , Salamon Stephen J. , Allison Andrew , Abbott Derek 
Published: November 2020

AbstractIn Europe and the USA daily new COVID-19 cases have recently been occurring in record numbers, which has created an alarming situation. The CDC in conjunction with several University groups gives forecasts for each county in the USA for several weeks at a time, but they have very large confidence intervals typified by the most recent national prediction of between 310,000 and 710,000 new cases for the week ending November 21, 2020. We have examined recent data for France and the USA over 10, 15 and 20 days. Using such data with simple fitting techniques, which do not require knowledge of any parameters, it has been possible to predict new case numbers fairly accurately for a week or more. A best-fitting polynomial of high order was only useful for a few days, after which it severely overestimated case numbers. A more detailed analysis with confidence intervals was performed for polynomials of orders one to six, which showed that lower order polynomials were more useful for prediction. Using the packages PCHIP and a POLYFIT (with degree one) in MATLAB gave smooth curves from which future case numbers could be reasonably well estimated. With PCHIP the average errors over 7 days were remarkably small, being −0.16% for France and +0.19% for the USA. A comparison is made between the temporal patterns of new cases for France, the USA and Australia. For Australia the second wave has dwindled to close to zero due to hard lock down conditions, which are discussed.
Cumulative COVID-19 incidence, mortality, and prognosis in cancer survivors: a population-based study in Reggio Emilia, Northern Italy
Authors: Mangone Lucia , Gioia Francesco , Mancuso Pamela , Bisceglia Isabella , Ottone Marta , Vicentini Massimo , Pinto Carmine , Rossi Paolo Giorgi 
Published: November 2020

AbstractThe aim of this population-based study was to evaluate the impact of having had cancer on COVID-19 risk and prognosis during the first wave of the pandemic (27 February – 13 May 2020) in Reggio Emilia Province. Prevalent cancer cases diagnosed between 1996 and December 2019 were linked with the provincial COVID-19 surveillance system. We compared cancer survivors (CS)’ cumulative incidence of being tested, testing positive for SARS-CoV-2, being hospitalized, and dying of COVID-19 with that of the general population; we compared COVID-19 prognosis in CS and in patients without cancer.15,391 people (1527 CS) underwent RT-PCR for SARS-CoV-2, of whom 4541 (447 CS) tested positive; 541 (113 CS) died of COVID-19. The cumulative incidences of being tested, testing positive, COVID-19 hospitalization, and death were lower in CS: age- and sex-adjusted incidence rate ratios were 1.28 [95%CI = 1.21, 1.35], 1.06 [95%CI = 0.96, 1.18], 1.27 [95%CI = 1.09, 1.48], and 1.39 [95%CI = 1.12, 1.71], respectively. CS had worse prognosis when diagnosed with COVID-19, particularly those below the age of 70 (age- and sex-adjusted odds ratio (OR) of death 5.03; [95%CI = 2.59, 9.75]), while the OR decreased after age 70. The OR of death was higher for patients with a recent diagnosis, i.e. <2 years (OR=2.92; 95%CI = 1.64, 5.21), or metastases (OR=2.09; 95%CI = 0. 88, 4.93).Cancer patients showed the same probability of being infected, despite a slightly higher probability of being tested, than the general population, nevertheless they were at higher risk of death once infected.Novelty and impactCancer survivors during the first wave of the pandemic showed higher COVID-19 cumulative incidence and mortality. When infected, they had worse prognosis, particularly in people younger than age 70 or those with a recent diagnosis.
COVID-19 Twitter-based analysis reveals differential concerns across areas with socioeconomic disparities
Authors: Su Yihua , Venkat Aarthi , Yadav Yadush , Puglisi Lisa B. , Fodeh Samah J. 
Published: November 2020

ABSTRACTObjectiveWe sought to understand how U.S. residents responded to COVID-19 as it emerged, and the extent to which spatial-temporal factors impacted response.Materials and MethodsWe mined and reverse-geocoded 269,556 coronavirus-related social media postings on Twitter from January 23rd to March 25th, 2020. We then ranked tweets based on the socioeconomic status of the county they originated from using the Area Deprivation Index (ADI); that we also used to identify areas with high initial disease counts (“hotspots”). We applied topic modeling on the tweets to identify chief concerns and determine their evolution over time. We also investigated how topic proportions varied based on ADI and between hotspots and non-hotspots.ResultsWe identified 45 topics, which shifted from early-outbreak-related content in January, to the presidential election and governmental response in February, to lifestyle changes in March. Highly resourced areas (low ADI) were concerned with stocks, social distancing, and national-level policies, while high ADI areas shared content with negative expression, prayers, and discussion of the CARES Act economic relief package. Within hotspots, these differences stand, with the addition of increased discussion regarding employment in high ADI versus low ADI hotspots.DiscussionTopic modeling captures the major concerns in COVID-19-related discussion on a social media platform in the early months of the pandemic. Our study extends previous studies that utilized topic modeling on COVID-19 related tweets and linked the identified topics to socioeconomic status using ADI. Comparisons between low and high ADI areas indicate differential Twitter discussions, corresponding to greater concern with economic hardship and impacts of the pandemic in less resourced communities, and less focus on general public health messaging.ConclusionThis work demonstrates a novel framework for assessing differential topics of conversation correlating to income, education, and housing disparities. This, with integration of COVID-19 hotspots, offers improved analysis of crisis response on Twitter. Such insight is critical for informed public health messaging campaigns in future waves of the pandemic, which should focus in part specifically on the interests of those who are most vulnerable in the lowest resourced health settings.
Structural Basis of Complex Formation Between Mitochondrial Anion Channel VDAC1 and Hexokinase-II
Authors: Haloi Nandan , Wen Po-Chao , Cheng Qunlii , Yang Meiying , Natarajan Gayathri , Camara Amadou KS , Kwok Wai-Meng , Tajkhorshid Emad 
Published: November 2020

ABSTRACTComplex formation between hexokinase-II (HKII) and the mitochondrial channel VDAC1 plays a crucial role in regulating cell growth and survival; however, structural details of this complex remain elusive. We hypothesize that a conserved, hydrophobic helix (H-anchor) of HKII first inserts into the outer membrane of mitochondria (OMM) and then interacts with VDAC1 on the cytosolic leaflet of OMM to form a binary complex. To systematically investigate this process, we adopted a hybrid approach: 1) the membrane binding of HKII was first described with molecular dynamics (MD) simulations employing a membrane mimetic model with enhanced lipid diffusion, then 2) the resulting membrane-bound HKII was used to form complex with VDAC1 in millisecond-scale Brownian dynamics (BD) simulations. We show that H-anchor inserts its first 10 residues into the membrane, substantiating previous experimental findings. The insertion depth of the H-anchor was used to derive positional restraints in subsequent BD simulations to preserve the membrane-bound pose of HKII during the formation of the HKII/VDAC1 binary complex. Multiple BD-derived structural models were further refined with MD simulations, resulting in one stable complex. A major feature in the complex is the partial (not complete) blockade of VDAC1’s permeation pathway by HKII, a result supported by our comparative electrophysiological measurements of the channel in the presence and absence of HKII. Additionally, we showed how VDAC1 phosphorylation disrupts HKII binding, a feature that is verified by our electrophysiology recordings and have implications in mitochondria-mediated cell death.