bluuebunny/crossref_metadata_2025_split huggingface dataset:
Give us a little social credit: to design or to discover personal ratings in the era of Big Data
Authors: Devereaux Abigail , Peng Linan 
Published: January 2020

AbstractIn 2014, the State Council of the Chinese Communist Party announced the institution of a social credit system by 2020, a follow-up to a similar statement on the creation of a social credit system issued by the State Council in 2007. Social credit ratings of the type being developed by the State Council in partnership with Chinese companies go beyond existing financial credit ratings in an attempt to project less-tangible personal characteristics like trustworthiness, criminal tendencies, and group loyalty onto a single scale. The emergence of personal credit ratings is enabled by Big Data, automated decision-making processes, machine learning, and facial recognition technology. It is quite likely that various kinds of personal and social credit ratings shall become reality in the near future. We explore China's version of its social credit system so far, compare the welfare and epistemological qualities of an ecology of personal ratings emanating from polycentric sourcesversusa social credit rating, and discuss whether a social credit system in an ideologically driven state is less a tool to maximize social welfare through trustworthiness provision and more a method of preventing and punishing deviance from a set of party-held ideological values.
Music, Politics, and the Liminality of the Havana Jazz Plaza Festival in the Obama Era
Authors: STORHOFF TIMOTHY 
Published: January 2020

AbstractAfter the Obama administration (2009–17) began authorizing musical exchanges with Cuba in 2009, Havana's music festivals became a primary site for transnational interactions and a public face for US-Cuban engagement while politicians worked towards normalization in secret. This article uses field research from the Havana International Jazz Festival, interviews with festival participants, and media coverage to explore Cuban music festivals as politically liminal spaces where musical and political life commingled to reflect the changing US-Cuban relationship. While diverse lineups attracted international tourists, artists faced bureaucratic challenges to legally traverse the Florida Straits and create music in the context of intercultural dialogue. Despite these difficulties, Havana as a festival space encouraged musicians to defy genre conventions, explore cultural commonalities, and negotiate social differences on stage during the Havana Jazz Plaza Festival. These transnational interactions culminated in Arturo O'Farrill's albumCuba: The Conversation Continues,which was recorded by US and Cuban musicians in Havana during the 2014 jazz festival and is characteristic of festival exchanges in its representation of a more harmonious international relationship.
Psychosocial Twin Cohort Studies in Japan: The Keio Twin Research Center (KoTReC)
Authors: Ando Juko , Fujisawa Keiko K. , Hiraishi Kai , Shikishima Chizuru , Kawamoto Tetsuya , Nozaki Mari , Yamagata Shinji , Takahashi Yusuke , Suzuki Kunitake , Someya Yoshiaki , Ozaki Koken , Deno Minako , Tanaka Mami , Sasaki Shoko , Toda Tatsushi , Kobayashi Kazuhiro , Sakagami Masamichi , Okada Mitsuhiro , Kijima Nobuhiko , Takizawa Ryu , Murayama Kou 
Published: January 2020

AbstractThe Keio Twin Research Center (KoTReC) was established in 2009 at Keio University to combine two longitudinal cohort projects — the Keio Twin Study (KTS) for adolescence and adulthood and the Tokyo Twin Cohort Project (ToTCoP) for infancy and childhood. KoTReC also conducted a two-time panel study of self-control and psychopathology in twin adolescence in 2012 and 2013 and three independent anonymous cross-sectional twin surveys (ToTcross) before 2012 — the ToTCross, the Junior and Senior High School Survey and the High School Survey. This article introduces the recent research designs of KoTReC and its publications.
Twin Family Registries Worldwide: An Important Resource for Scientific Research
Authors: Hur Yoon-Mi , Bogl Leonie H. , Ordoñana Juan R. , Taylor Jeanette , Hart Sara A. , Tuvblad Catherine , Ystrom Eivind , Dalgård Christine , Skytthe Axel , Willemsen Gonneke 
Published: January 2020

AbstractMuch progress has been made in twin research since our last special issue on twin registries (Hur, Y.-M., & Craig, J. M. (2013). Twin Research and Human Genetics, 16, 1–12.). This special issue provides an update on the state of twin family registries around the world. This issue includes 61 papers on twin family registries from 25 countries, of which 3 describe consortia based on collaborations of several twin family registries. The articles included in this issue discuss the establishment and maintenance of twin registries, recruitment strategies, methods of zygosity assessment, research aims and major findings from twin family cohorts, as well as other important topics related to twin studies. The papers amount to approximately 1.3 million monozygotic, dizygotic twins and higher order multiples and their family members who participate in twin studies around the world. Nine new twin family registries have been established across the world since our last issue, which demonstrates that twin registers are increasingly important in studies of the determinants and correlates of complex traits from disease susceptibility to healthy development.
Orbital and Millennial‐Scale Cycles Paced Climate Variability During the Late Paleozoic Ice Age in the Southwestern Gondwana
Authors: Kochhann M. V. L. , Cagliari J. , Kochhann K. G. D. , Franco D. R. 
Published: January 2020

AbstractOrbital cycles are related to variations of Earth's orbit through time and exert profound control on glacial and interglacial climates due to changes in insolation. In this study, we aim to test whether orbital and millennial‐scale climate cycles conditioned the deposition of rhythmites in the southern Gondwana during the Late Paleozoic Ice Age (LPIA). We present the first cyclostratigraphic study based on X‐ray fluorescence records from a 27‐m‐thick interval of LPIA rhythmites in the southeastern border of the Paraná Basin, Brazil. TiO2 and Fe2O3 records display cycles in the Milankovitch and millennial bands. Among millennial‐scale variability, there are strong signals suggesting cycles with periods similar to the ~2.4‐kyr Hallstatt heliomagnetic and the ~1.5‐kyr Dansgaard‐Oeschger cycles. We estimated an average sediment accumulation rate of 5.94 cm/kyr, which suggests that the rhythmites were deposited in a relatively distal setting, during deglaciation episodes paced by millennial‐scale climate cycles. We interpret variations in concentrations of the terrigenous components TiO2 and Fe2O3 as indicative of glacial‐interglacial changes, reflected by advances and retreats of glaciers under drier and wetter climate conditions, respectively. Here we show that these high‐latitude glacial‐interglacial cycles were probably paced by short eccentricity, as previously suggested for Carboniferous cyclothems in low‐latitude deposits, and highlight the importance of millennial‐scale climate cycles at controlling glacially influenced deposition at high latitudes. Our results for the LPIA are similar to patterns seen in Pleistocene records.
Determining Plasmaspheric Density From the Upper Hybrid Resonance and From the Spacecraft Potential: How Do They Compare?
Authors: Jahn J.‐M. , Goldstein J. , Kurth W. S. , Thaller S. , De Pascuale S. , Wygant J. , Reeves G. D. , Spence H. E. 
Published: January 2020

AbstractThe plasmasphere is a critical region of the magnetosphere. It is important for the evolution of Earth's radiation belts. Waves in the plasmasphere interior (hiss) and vicinity (electromagnetic ion cyclotron, chorus) help control the acceleration and loss of radiation belt particles. Thus, understanding the extent, structure, content, and dynamics of the plasmasphere is crucial to understanding radiation belt losses. The Van Allen Probes mission uses two methods to determine the total plasma density. First, the upper hybrid resonance frequency can provide electron density; this determination is the most accurate and robust. However, it requires significant analysis and is challenging during geomagnetically active times: It becomes difficult to interpret the wave spectrum, and the amount of available data is severely limited. Second, the spacecraft potential is a proxy for the plasma density. These high‐resolution measurements are available with high duty cycle. However, environmental effects can limit the accuracy of this method. The relation between spacecraft potential and density is empirical, requiring an independent density measurement and repeated checks. We perform a quantitative comparison of these two in situ techniques during the first 3.5 years of the Van Allen Probes mission. We show how to calibrate potential‐based density measurements using only publicly available wave‐derived densities to provide high‐fidelity results even if upper hybrid measurements are sparse or unavailable. We quantify the level of uncertainty to expect from potential‐derived density data. Our approach can be applied to any in situ spacecraft mission where reliable absolute density and spacecraft potential data are available.
Horizontal Pressure Gradient Parameterization for One‐Dimensional Lake Models
Authors: Stepanenko V. M. , Valerio G. , Pilotti M. 
Published: January 2020

AbstractThis work presents a new method for closure of horizontally averaged 1‐D thermohydrodynamic equations in an enclosed reservoir by parameterizing the horizontal pressure gradient usually omitted in 1‐D lake models. Horizontal pressure gradient is computed using an auxiliary multilayer model where horizontal structure of speed and pressure is given by 1‐st Fourier mode. A major effect of new parameterization in 1‐D lake model is the emergence of explicitly reproduced H1 seiche modes. The parameterization is implemented in the LAKE model, with minor (2–4%) extra computational cost imposed. The model is applied to Lake Iseo (Italy), and calculated temperature series are compared to measured ones in upper, middle, and deep portions of metalimnion. The amplitude of seiche‐induced temperature oscillations well matched the observed amplitude by tuning the bottom friction coefficient only. The synoptic variability of thermocline vertical displacement caused by wind events is well reproduced by the model. The dominant peak of quasi‐diurnal period in temperature power spectrum was captured in simulations as well. Using the new parameterization of horizontal pressure gradient extends the applicability of a 1‐D lake model formulation to small lakes, which size is less than internal Rossby radius, and where pressure gradient dominates over Coriolis force.
Characterization of GSAT‐14 Satellite Ka‐Band Microwave Signal Attenuation Due to Precipitation Over a Tropical Coastal Station in the Southern Peninsular Region of the Indian Subcontinent
Authors: Mishra Manoj Kumar , Renju R. , Mathew N. , Suresh Raju C. , Sujimol M.R. , Shahana K. 
Published: January 2020

AbstractThis paper focuses on study of attenuation of microwave propagation at Ka‐band frequencies due to precipitation over an Indian Tropical station, Thiruvananthapuram (8.5°N, 76.8°E). The station is located on the gateway of S‐W Indian monsoon into the subcontinent characterized with prolonged rain for a period of about 9 months. A satellite link has been established at Thumba, Thiruvananthapuram, between Ka‐band receiver operating at 20.2 and 30.5 GHz and GSAT‐14 as part of Indian Space Research Organization's Ka‐band propagation experiment. The concurrent measurements of Ka‐band signals and the precipitation, using a collocated laser precipitation monitor instrument, were carried out during the entire period of Indian monsoon. The study focuses on quantifying the dependence of Ka‐band attenuation on rain rate during the rain‐dominated premonsoon and summer monsoon seasons. The observed attenuation has been evaluated with ITU model.
MicroRNA-298 reduces levels of human amyloid-β precursor protein (APP), β-site APP-converting enzyme 1 (BACE1) and specific tau protein moieties
Authors: Chopra Nipun , Wang Ruizhi , Maloney Bryan , Nho Kwangsik , Beck John S. , Pourshafie Naemeh , Niculescu Alexander , Saykin Andrew J. , Rinaldi Carlo , Counts Scott E. , Lahiri Debomoy K. 
Published: January 2020

AbstractAlzheimer’s disease (AD) is the most common age-related form of dementia, associated with deposition of intracellular neuronal tangles consisting primarily of hyperphosphorylated microtubule-associated protein tau (p-tau) and extracellular plaques primarily comprising amyloid- β (Aβ) peptide. The p-tau tangle unit is a posttranslational modification of normal tau protein. Aβ is a neurotoxic peptide excised from the amyloid-β precursor protein (APP) by β-site APP-cleaving enzyme 1 (BACE1) and the γ-secretase complex. MicroRNAs (miRNAs) are short, single-stranded RNAs that modulate protein expression as part of the RNA-induced silencing complex (RISC). We identified miR-298 as a repressor of APP, BACE1, and the two primary forms of Aβ (Aβ40 and Aβ42) in a primary human cell culture model. Further, we discovered a novel effect of miR-298 on posttranslational levels of two specific tau moieties. Notably, miR-298 significantly reduced levels of ~55 and 50 kDa forms of the tau protein without significant alterations of total tau or other forms. In vivo overexpression of human miR-298 resulted in nonsignificant reduction of APP, BACE1, and tau in mice. Moreover, we identified two miR-298 SNPs associated with higher cerebrospinal fluid (CSF) p-tau and lower CSF Aβ42 levels in a cohort of human AD patients. Finally, levels of miR-298 varied in postmortem human temporal lobe between AD patients and age-matched non-AD controls. Our results suggest that miR-298 may be a suitable target for AD therapy.
Correction: Taxonomic and functional heterogeneity of the gill microbiome in a symbiotic coastal mangrove lucinid species
Authors: Lim Shen Jean , Davis Brenton G , Gill Danielle E , Walton Jillian , Nachman Erika , Engel Annette Summers , Anderson Laurie C , Campbell Barbara J 
Published: January 2020

Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
MRI-based radiomics model for preoperative prediction of 5-year survival in patients with hepatocellular carcinoma
Authors: Wang Xiao-Hang , Long Liu-Hua , Cui Yong , Jia Angela Y. , Zhu Xiang-Gao , Wang Hong-Zhi , Wang Zhi , Zhan Chong-Ming , Wang Zhao-Hai , Wang Wei-Hu 
Published: January 2020

Abstract
Background
Recurrence is the major cause of mortality in patients with resected HCC. However, without a standard approach to evaluate prognosis, it is difficult to select candidates for additional therapy.

Methods
A total of 201 patients with HCC who were followed up for at least 5 years after curative hepatectomy were enrolled in this retrospective, multicentre study. A total of 3144 radiomics features were extracted from preoperative MRI. The random forest method was used for radiomics signature building, and five-fold cross-validation was applied. A radiomics model incorporating the radiomics signature and clinical risk factors was developed.

Results
Patients were divided into survivor (n = 97) and non-survivor (n = 104) groups based on the 5-year survival after surgery. The 30 most survival-related radiomics features were selected for the radiomics signature. Preoperative AFP and AST were integrated into the model as independent clinical risk factors. The model demonstrated good calibration and satisfactory discrimination, with a mean AUC of 0.9804 and 0.7578 in the training and validation sets, respectively.

Conclusions
This radiomics model is a valid method to predict 5-year survival in patients with HCC and may be used to identify patients for clinical trials of perioperative therapies and for additional surveillance.
Pre-operative cellular dissociation grading in biopsies is highly predictive of post-operative tumour stage and patient outcome in head and neck squamous cell carcinoma
Authors: Jesinghaus Moritz , Steiger Katja , Stögbauer Fabian , Haller Bernhard , Kolk Andreas , Straßen Ulrich , Pickhard Anja , Wirth Markus , Silva Miguel , Budczies Jan , Becker von Rose Aaron , Konukiewitz Björn , Kuhn Peer , Klinghammer Konrad , Dapper Hendrik , Münch Stefan , Combs Stephanie E. , Weichert Wilko , Boxberg Melanie 
Published: January 2020

AbstractBackgroundPre-operative treatment planning in head and neck squamous cell carcinoma (HNSCC) is mainly dictated by clinical staging, which has major shortcomings. Histologic grading is irrelevant due to its lack of prognostic impact. Recently, a novel grading termed Cellular Dissociation Grade (CDG) based on Tumour Budding and Cell Nest Size was shown to be highly prognostic for resected HNSCC. We aimed to probe the predictive and prognostic impact of CDG in the pre-operative biopsies of HNSCC.MethodsWe evaluated CDG inn = 160 pre-therapeutic biopsies from patients who received standardised treatment following German guidelines, and correlated the results with pre- and post-therapeutic staging data and clinical outcome.ResultsPre-operative CDG was highly predictive of post-operative tumour stage, including the prediction of occult lymph node metastasis. Uni- and multivariate analysis revealed CDG to be an independent prognosticator of overall, disease-specific and disease-free survival (p < 0.001). Hazard ratio for disease-specific survival was 6.1 (11.1) for nG2 (nG3) compared with nG1 tumours.ConclusionsCDG is a strong outcome predictor in the pre-treatment scenario of HNSCC and identifies patients with nodal-negative disease. CDG is a purely histology-based prognosticator in the pre-therapeutic setting that supplements clinical staging and may aide therapeutic stratification of HNSCC patients.
Classification and characterization of nonequilibrium Higgs modes in unconventional superconductors
Authors: Schwarz L. , Fauseweh B. , Tsuji N. , Cheng N. , Bittner N. , Krull H. , Berciu M. , Uhrig G. S. , Schnyder A. P. , Kaiser S. , Manske D. 
Published: January 2020

AbstractRecent findings of new Higgs modes in unconventional superconductors require a classification and characterization of the modes allowed by nontrivial gap symmetry. Here we develop a theory for a tailored nonequilibrium quantum quench to excite all possible oscillation symmetries of a superconducting condensate. We show that both a finite momentum transfer and quench symmetry allow for an identification of the resulting Higgs oscillations. These serve as a fingerprint for the ground state gap symmetry. We provide a classification scheme of these oscillations and the quench symmetry based on group theory for the underlying lattice point group. For characterization, analytic calculations as well as full scale numeric simulations of the transient optical response resulting from an excitation by a realistic laser pulse are performed. Our classification of Higgs oscillations allows us to distinguish between different symmetries of the superconducting condensate.
Generating quantitative binding landscapes through fractional binding selections combined with deep sequencing and data normalization
Authors: Heyne Michael , Papo Niv , Shifman Julia M. 
Published: January 2020

AbstractQuantifying the effects of various mutations on binding free energy is crucial for understanding the evolution of protein-protein interactions and would greatly facilitate protein engineering studies. Yet, measuring changes in binding free energy (ΔΔGbind) remains a tedious task that requires expression of each mutant, its purification, and affinity measurements. We developed an attractive approach that allows us to quantify ΔΔGbind for thousands of protein mutants in one experiment. Our protocol combines protein randomization, Yeast Surface Display technology, deep sequencing, and a few experimental ΔΔGbind data points on purified proteins to generate ΔΔGbind values for the remaining numerous mutants of the same protein complex. Using this methodology, we comprehensively map the single-mutant binding landscape of one of the highest-affinity interaction between BPTI and Bovine Trypsin (BT). We show that ΔΔGbind for this interaction could be quantified with high accuracy over the range of 12 kcal mol−1 displayed by various BPTI single mutants.
Irp2 regulates insulin production through iron-mediated Cdkal1-catalyzed tRNA modification
Authors: Santos Maria C. Ferreira dos , Anderson Cole P. , Neschen Susanne , Zumbrennen-Bullough Kimberly B. , Romney Steven J. , Kahle-Stephan Melanie , Rathkolb Birgit , Gailus-Durner Valerie , Fuchs Helmut , Wolf Eckhard , Rozman Jan , de Angelis Martin Hrabe , Cai Weiling Maggie , Rajan Malini , Hu Jennifer , Dedon Peter C. , Leibold Elizabeth A. 
Published: January 2020

AbstractRegulation of cellular iron homeostasis is crucial as both iron excess and deficiency cause hematological and neurodegenerative diseases. Here we show that mice lacking iron-regulatory protein 2 (Irp2), a regulator of cellular iron homeostasis, develop diabetes. Irp2 post-transcriptionally regulates the iron-uptake protein transferrin receptor 1 (TfR1) and the iron-storage protein ferritin, and dysregulation of these proteins due to Irp2 loss causes functional iron deficiency in β cells. This impairs Fe–S cluster biosynthesis, reducing the function of Cdkal1, an Fe–S cluster enzyme that catalyzes methylthiolation of t6A37 in tRNALysUUU to ms2t6A37. As a consequence, lysine codons in proinsulin are misread and proinsulin processing is impaired, reducing insulin content and secretion. Iron normalizes ms2t6A37 and proinsulin lysine incorporation, restoring insulin content and secretion in Irp2−/− β cells. These studies reveal a previously unidentified link between insulin processing and cellular iron deficiency that may have relevance to type 2 diabetes in humans.
Warming of hot extremes alleviated by expanding irrigation
Authors: Thiery Wim , Visser Auke J. , Fischer Erich M. , Hauser Mathias , Hirsch Annette L. , Lawrence David M. , Lejeune Quentin , Davin Edouard L. , Seneviratne Sonia I. 
Published: January 2020

AbstractIrrigation affects climate conditions – and especially hot extremes – in various regions across the globe. Yet how these climatic effects compare to other anthropogenic forcings is largely unknown. Here we provide observational and model evidence that expanding irrigation has dampened historical anthropogenic warming during hot days, with particularly strong effects over South Asia. We show that irrigation expansion can explain the negative correlation between global observed changes in daytime summer temperatures and present-day irrigation extent. While global warming increases the likelihood of hot extremes almost globally, irrigation can regionally cancel or even reverse the effects of all other forcings combined. Around one billion people (0.79–1.29) currently benefit from this dampened increase in hot extremes because irrigation massively expanded throughout the 20$${}^{th}$$

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century. Our results therefore highlight that irrigation substantially reduced human exposure to warming of hot extremes but question whether this benefit will continue towards the future.