bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of salvage surgery for recurrent or residual head and neck squamous cell carcinoma
Authors: Maruo Takashi , Zenda Sadamoto , Shinozaki Takeshi , Tomioka Toshifumi , Okano Wataru , Sakuraba Minoru , Tahara Makoto , Hayashi Ryuichi 
Published: October 2019

AbstractObjectiveConcomitant chemoradiation therapy is a standard treatment for head and neck cancer. Thus, salvage surgery has become a necessary treatment. The aim of the study was to evaluate the results of salvage surgery by each site of the head and neck, especially the oropharynx, hypopharynx and larynx.MethodsThis was a retrospective, single-institute study. The primary endpoint was overall survival. Secondary endpoints were disease-free survival, the locoregional control rate after salvage surgery, the indication rate for salvage surgery, the reasons for contraindications to salvage surgery, the post-operative complication rate and the predictors of survival.ResultsThree-year overall survival after salvage surgery was 58.8% in the salvage surgery group and 8.59% in the other treatment group (P &lt; 0.0001). Regarding overall survival and disease-free survival after salvage surgery, there was no difference among sites. Regarding locoregional control rate among sites, there was no significant difference. The oropharyngeal cancer group had the lowest rate of salvage primary resection. Surgical margin and local and regional recurrence or residual disease were predictors on univariate and multivariate analyses.ConclusionsSalvage surgery is effective for recurrent or residual cases after concomitant chemoradiation therapy. For oropharyngeal cancer, local control is important, and for oropharyngeal cancer and hypopharyngeal cancer, distant metastasis is important.
The SAMI Galaxy Survey: The contribution of different kinematic classes to the stellar mass function of nearby galaxies
Authors: Guo Kexin , Cortese Luca , Obreschkow Danail , Catinella Barbara , van de Sande Jesse , Croom Scott M , Brough Sarah , Sweet Sarah , Bryant Julia J , Medling Anne , Bland-Hawthorn Joss , Owers Matt , Richards Samuel N 
Published: October 2019

Abstract
We use the complete Sydney-AAO Multi-object Integral field spectrograph (SAMI) Galaxy Survey to determine the contribution of slow rotators, as well as different types of fast rotators, to the stellar mass function of galaxies in the local Universe. We use stellar kinematics not only to discriminate between fast and slow rotators, but also to distinguish between dynamically cold systems (i.e., consistent with intrinsic axis ratios<0.3) and systems including a prominent dispersion-supported bulge. We show that fast rotators account for more than $80\%$ of the stellar mass budget of nearby galaxies, confirming that their number density overwhelms that of slow rotators at almost all masses from 109 to 1011.5M⊙. Most importantly, dynamically cold disks contribute to at least $25\%$ of the stellar mass budget of the local Universe, significantly higher than what is estimated from visual morphology alone. For stellar masses up to 1010.5M⊙, this class makes up $>=30\%$ of the galaxy population in each stellar mass bin. The fact that many galaxies that are visually classified as having two-components have stellar spin consistent with dynamically cold disks suggests that the inner component is either rotationally-dominated (e.g., bar, pseudo-bulge) or has little effect on the global stellar kinematics of galaxies.
Driving classical Wolf-Rayet winds: A Γ- and Z-dependent mass-loss
Authors: Sander Andreas A C , Vink J S , Hamann W-R 
Published: October 2019

Abstract
Classical Wolf-Rayet (WR) stars are at a crucial evolutionary stage for constraining the fates of massive stars. The feedback of these hot, hydrogen-depleted stars dominates their surrounding by tremendous injections of ionizing radiation and kinetic energy. The strength of a WR wind decides the eventual mass of its remnant, likely a massive black hole. However, despite their major influence and importance for gravitational wave detection statistics, WR winds are particularly poorly understood. In this paper, we introduce the first set of hydrodynamically consistent stellar atmosphere models for classical WR stars of both the carbon (C) and nitrogen (N) sequence, i.e. WC and WN stars, as a function of stellar luminosity-to-mass ratio (or Eddington Gamma), and metallicity. We demonstrate the inapplicability of the CAK wind theory for classical WR stars and confirm earlier findings that their winds are launched at the (hot) iron (Fe) opacity peak. For log Z/Z⊙ > −2, Fe is also the main accelerator throughout the wind. Contrasting previous claims of a sharp lower mass-loss limit for WR stars, we obtain a smooth transition to optically thin winds. Furthermore, we find a strong dependence of the mass-loss rates on Eddington Γ, both at solar and sub-solar metallicity. Increases in WC carbon and oxygen abundances turn out to slightly reduce the predicted mass-loss rates. Calculations at subsolar metallicities indicate that below the metallicity of the SMC, WR mass-loss rates decrease much faster than previously assumed, potentially allowing for high black hole masses even in the local universe.
Aldehyde and Volatile Organic Compound Yields in Commercial Cigarette Mainstream Smoke Are Mutually Related and Depend on the Sugar and Humectant Content in Tobacco
Authors: Pennings Jeroen L A , Cremers Johannes W J M , Becker Mark J A , Klerx Walther N M , Talhout Reinskje 
Published: October 2019

Abstract

Introduction
The World Health Organization (WHO) Framework Convention on Tobacco control recognizes the need for tobacco product regulation. In line with that, the WHO Study Group on Tobacco Product Regulation (TobReg) proposed to regulate nine toxicants in mainstream cigarette smoke, including aldehydes, volatile organic compounds (VOCs), and carbon monoxide (CO). We analyzed their relations in 50 commercially available cigarette brands, using two different smoking regimes, and their dependence on sugar and humectant concentrations in tobacco filler.

Methods
We measured sugar and humectant in tobacco filler and aldehydes, VOCs, and tar, nicotine, and CO (TNCO) in mainstream smoke. The general statistics, correlations between emission yields, and correlations between contents and emissions yields were determined for these data.

Results
For aldehydes, several significant correlations were found with precursor ingredients in unburnt tobacco when smoked with the Intense regime, most prominently for formaldehyde with sucrose, glucose, total sugars, and glycerol. For VOCs, 2,5-dimethylfuran significantly correlates with several sugars under both International Standards Organization (ISO) and Intense smoking conditions. A correlation network visualization shows connectivity between a sugar cluster, an ISO cluster, and an Intense cluster, with Intense formaldehyde as a central highest connected hub.

Conclusions
Our multivariate analysis showed several strong connections between the compounds determined. The toxicants proposed by WHO, in particular, formaldehyde, can be used to monitor yields of other toxicants under Intense conditions. Emissions of formaldehyde, acetaldehyde, acrolein, and 2,5-dimethylfuran may decrease when sugar and humectants contents are lowered in tobacco filler.

Implications
Our findings suggest that the aldehydes and VOCs proposed by TobReg are a representative selection for smoke component market monitoring purposes. In particular, formaldehyde yields may be useful to monitor emissions of other toxicants under Intense conditions. Since the most and strongest correlations were observed with the Intense regime, policymakers are advised to prescribe this regime for regulatory purposes. Policymakers should also consider sugars and humectants contents as targets for future tobacco product regulations, with the additional advantage that consumer acceptance of cigarette smoke is proportional to their concentrations in the tobacco blend.
A hybrid model of Skyrme- and Brueckner-type interactions for neutron star matter
Authors: Choi Soonchul , Cheoun Myung-Ki , Kim K S , Kim Hungchong , Sagawa H 
Published: October 2019

Abstract
We suggest a hybrid model for neutron star matter to discuss the hyperon puzzle inherent in the 2.0 M$_{\odot}$ of the neutron star. For the nucleon–nucleon ($NN$) interaction, we employ the Skyrme–Hartree–Fock approach based on various Skyrme interaction parameter sets, and take the Brueckner–Hartree–Fock approach for the interactions related to hyperons. For the many-body interactions including hyperons, we make use of the multi-pomeron-exchange model, whose parameters have been adjusted to the data deduced from various hypernuclei properties. For clear understanding of the physics in the hybrid model, we discuss fractional functions of related particles, symmetry energies, and chemical potentials in dense matter. Finally, we investigate the equations of state and mass–radius relation of neutron stars, and show that the hybrid model can properly describe the 2.0 M$_{\odot}$ neutron star mass data with the many-body interaction employed in the hybrid model. Recent tidal deformability data from the gravitational wave observation are also compared to our calculations, especially in terms of the neutron skin of $^{208}$Pb and nuclear incompressibility.
Cross-Country Competitive Effects of Cross-Listings
Authors: Sarkissian Sergei , Wang Yan 
Published: October 2019

Abstract
We study competitive effects of foreign listings on U.S. stock exchanges over a 50-year period and show that U.S. rival firms respond strongly negatively (weakly positively) to foreign listings (delistings). The performance decline of U.S. firms is related to the competitive advantages that foreign firms receive from their cross-listings, such as stronger financial benefits, higher growth prospects, and better visibility, rather than market or industry valuation timing or existing market competition. This decline is especially pronounced when cross-listings come from proximate or developed markets. Our findings highlight an important role of international markets in influencing the performance of U.S. firms.
Received February 19, 2019; editorial decision September 18, 2019 by Editor Isil Erel. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.
National Industry Trade Shocks, Local Labour Markets, and Agglomeration Spillovers
Authors: Helm Ines 
Published: October 2019

Abstract
Using a broad set of national industry trade shocks, I employ a novel approach to estimate agglomeration effects by exploiting within industry variation in indirect exposure to the other local industries’ (national) trade shocks across local labour markets. This variation stems from differences in local industry composition and allows to test for the existence of heterogeneous agglomeration effects across industries. I find considerable employment spillovers from other tradable industries’ trade shocks and even stronger effects within the same broad sector. Spillovers are larger for industries employing similar workers and are triggered predominantly by shocks to high-technology industries.
The Ontogenetic Development of Hemispheric Lateralization During Face Processing: A Functional Magnetic Resonance Imaging Pilot Study in 7- to 9-Year-old Children
Authors: Hildesheim Franziska E. , Debus Isabell , Kessler Roman , Thome Ina , Zimmermann Kristin M. , Steinsträter Olaf , Sommer Jens , Kamp-Becker Inge , Stark Rudolf , Jansen Andreas 
Published: October 2019

ABSTRACTFace processing is mediated by a distributed neural network commonly divided into a “core system” and an “extended system”. The core system consists of several, typically right-lateralized brain regions in the occipito-temporal cortex, including the occipital face area (OFA), the fusiform face area (FFA) and the posterior superior temporal sulcus (pSTS). It was recently proposed that the face processing network is initially bilateral and becomes right-specialized in the course of the development of reading abilities due to the competition between language-related regions in the left occipito-temporal cortex (e.g., the visual word form area) and the FFA for common neural resources.The goal of the present pilot study was to prepare the basis for a larger follow-up study assessing the ontogenetic development of the lateralization of the face processing network. More specifically, we aimed on the one hand to establish a functional magnetic resonance imaging (fMRI) paradigm suitable for assessing activation in the core system of face processing in young children at the single subject level, and on the other hand to calculate the necessary group size for the planned follow-up study.Twelve children aged 7-9 years, and ten adults were measured with a face localizer task that was specifically adapted for children. Our results showed that it is possible to localize the core system’s brain regions in children even at the single subject level. We further found a (albeit non-significant) trend for increased right-hemispheric lateralization of all three regions in adults compared to children, with the largest effect for the FFA (estimated effect size d=0.78, indicating medium to large effects). Using these results as basis for an informed power analysis, we estimated that an adequately powered (sensitivity 0.8) follow-up study testing developmental changes of FFA lateralization would require the inclusion of 18 children and 26 adults.
Robustness and lethality in multilayer biological molecular networks
Authors: Liu Xueming , Maiorino Enrico , Halu Arda , Loscalzo Joseph , Gao Jianxi , Sharma Amitabh 
Published: October 2019

AbstractRobustness is a prominent feature of most biological systems. In a cell, the structure of the interactions between genes, proteins, and metabolites has a crucial role in maintaining the cell’s functionality and viability in presence of external perturbations and noise. Despite advances in characterizing the robustness of biological systems, most of the current efforts have been focused on studying homogeneous molecular networks in isolation, such as protein-protein or gene regulatory networks, neglecting the interactions among different molecular substrates. Here we propose a comprehensive framework for understanding how the interactions between genes, proteins and metabolites contribute to the determinants of robustness in a heterogeneous biological network. We integrate heterogeneous sources of data to construct a multilayer interaction network composed of a gene regulatory layer, and protein-protein interaction layer and a metabolic layer. We design a simulated perturbation process to characterize the contribution of each gene to the overall system’s robustness, defined as its influence over the global network. We find that highly influential genes are enriched in essential and cancer genes, confirming the central role of these genes in critical cellular processes. Further, we determine that the metabolic layer is more vulnerable to perturbations involving genes associated to metabolic diseases. By comparing the robustness of the network to multiple randomized network models, we find that the real network is comparably or more robust than expected in the random realizations. Finally, we analytically derive the expected robustness of multilayer biological networks starting from the degree distributions within or between layers. These results provide new insights into the non-trivial dynamics occurring in the cell after a genetic perturbation is applied, confirming the importance of including the coupling between different layers of interaction in models of complex biological systems.
TIGIT-Fc Promote Immune Tolerance at the Feto-maternal Interface
Authors: Fu Wenyan , Ma Zetong , Lei Changhai , Ding Min , Hu Shi 
Published: October 2019

AbstractThe perfect synchronization of maternal immune-endocrine mechanisms and those of the foetus is necessary for a successful pregnancy. In this report, decidual immune cells at the maternal-foetal interface were detected that expressed TIGIT (T cell immunoreceptor with Ig and ITIM domains), which is a co-inhibitory receptor that triggers immunological tolerance. We generated recombinant TIGIT-Fc fusion proteins by linking the extracellular domain of TIGIT and silent Fc fragments. The treatment with TIGIT-Fc of human decidual dendritic cells (dDCs) increased the production of interleukin 10 and induced the dDCs to powerfully polarize the decidual CD4+ T cells towards a classic TH2 phenotype. The administration of TIGIT-Fc to CBA/J pregnant mice at preimplantation induced CD4+ forkhead box P3+ (Foxp3+) regulatory T cells and tolerogenic dendritic cells and increased pregnancy rates in a mouse model of abortive stress. Moreover, we proposed that progesterone play a direct role in the transcriptional regulation of the TIGIT gene in decidual immune cell subsets. The results suggested the therapeutic potential of the TIGIT-Fc fusion protein in reinstating immune tolerance in failing pregnancies.
Over 50000 metagenomically assembled draft genomes for the human oral microbiome reveal new taxa
Authors: Zhu Jie , Tian Liu , Chen Peishan , Han Mo , Song Liju , Tong Xin , Lin Zhipeng , Liu Xing , Liu Chuan , Wang Xiaohan , Lin Yuxiang , Cai Kaiye , Hou Yong , Xu Xun , Yang Huanming , Wang Jian , Kristiansen Karsten , Xiao Liang , Zhang Tao , Jia Huijue , Jie Zhuye 
Published: October 2019

ABSTRACTThe oral cavity of each person is home for hundreds of bacterial species. While taxa for oral diseases have been well studied using culture-based as well as amplicon sequencing methods, metagenomic and genomic information remain scarce compared to the fecal microbiome. Here we provide metagenomic shotgun data for 3346 oral metagenomics samples, and together with 808 published samples, assemble 56,213 metagenome-assembled genomes (MAGs). 64% of the 3,589 species-level genome bins contained no publicly available genomes, others with only a handful. The resulting genome collection is representative of samples around the world and across physiological conditions, contained many genomes from Candidate phyla radiation (CPR) which lack monoculture, and enabled discovery of new taxa such as a family within the Acholeplasmataceae order. New biomarkers were identified for rheumatoid arthritis or colorectal cancer, which would be more convenient than fecal samples. The large number of metagenomic samples also allowed assembly of many strains from important oral taxa such asPorphyromonasandNeisseria. Predicted functions enrich in drug metabolism and small molecule synthesis. Thus, these data lay down a genomic framework for future inquiries of the human oral microbiome.
SUSTAINED DOPAMINERGIC PLATEAUS AND NORADRENERGIC DEPRESSIONS MEDIATE DISSOCIABLE ASPECTS OF EXPLOITATIVE STATES
Authors: Koralek Aaron C. , Costa Rui M. 
Published: October 2019

ABSTRACTWe are constantly faced with the trade-off between exploiting actions with known outcomes and exploring alternative actions whose outcomes may be better. This balance has been hypothesized to rely on dopaminergic neurons of the substantia nigra pars compacta (SNc)1 and noradrenergic neurons of the locus coeruleus (LC)2–3. We developed a behavioral paradigm to capture exploitative and exploratory states, and imaged calcium dynamics in genetically-identified dopaminergic SNc neurons and noradrenergic LC neurons during state transitions. During exploitative states, characterized by motivated repetition of the same action choice, we found dichotomous changes in baseline activity in SNc and LC, with SNc showing higher and LC showing lower sustained activity. These sustained neural states emerged from the accumulation of lengthened positive responses and hysteretic dynamics in SNc networks, and lengthened negative responses in LC. Sustained activity could not be explained by classical reinforcement learning parameters, and in SNc but not LC, emerged in subpopulations coding for response vigor. Manipulating the sustained activity of SNc and LC revealed that dopaminergic activity primarily mediates engagement and motivation, whereas noradrenergic activity modulates action selection. These data uncover the emergence of sustained neural states in dopaminergic and noradrenergic networks that mediate dissociable aspects of exploitative bouts.
Balancing preservation and energy efficiency in building stocks
Authors: Eriksson Petra , Milić Vlatko , Brostrom Tor 
Published: October 2019

Purpose
Energy use in buildings needs to be reduced to meet political goals; however, reducing energy use can conflict with heritage preservation objectives. The purpose of this paper is to demonstrate a method that combines quantitative and qualitative analyses of the potential of energy savings in an historic building stock. Specifically, this study examines how requirements of historic building preservation affect the energy saving potential on a building stock level.

Design/methodology/approach
Using the World Heritage Town of Visby, Sweden as a case study, this paper illustrates a step-by-step method as a basis for implementing energy savings techniques in an historic building stock. The method contains the following steps: categorisation of a building stock, definition of restriction levels for energy renovation scenarios and life cycle costs optimisation of energy measures in archetype buildings representing the building stock. Finally, this study analyses how different energy renovation strategies will impact heritage values and energy saving potentials for different categories of buildings.

Findings
The outcome of the study is twofold: first, the method has been tested and proven useful and second, the results from the application of the method have been used to formulate differentiated energy renovation strategies for the case study.

Originality/value
The study shows that it is possible to integrate techno-economic analysis with assessment of heritage values in a given building stock in order to facilitate a strategic discussion balancing policies and targets for energy savings with policies for the preservation of heritage values. The findings will contribute to sounder policy development and planning for historic building stocks.
Transaction credit in the unstructured crowd transaction network
Authors: Liu Zhishuo , Fang Tian , Dongxin Yao , Kou Nianci 
Published: October 2019

PurposeCurrent models of transaction credit in the e-commerce network face many problems, such as the one-sided measurement, low accuracy and insufficient anti-aggression solutions. This paper aims to address these problems by studying the transaction credit problem in the crowd transaction network.Design/methodology/approachThis study divides the transaction credit into two parts, direct transaction credit and recommended transaction credit, and it proposes a model based on the crowd transaction network. The direct transaction credit comprehensively includes various factors influencing the transaction credit, including transaction evaluation, transaction time, transaction status, transaction amount and transaction times. The recommendation transaction credit introduces two types of recommendation nodes and constructs the recommendation credibility for each type. This paper also proposes a “buyer + circle of friends” method to store and update the transaction credit data.FindingsThe simulation results show that this model is superior with high accuracy and anti-aggression.Originality/valueThe direct transaction credit improves the accuracy of the transaction credit data. The recommendation transaction credit strengthens the anti-aggression of the transaction credit data. In addition, the “buyer + circle of friends” method fully uses the computing of the storage ability of the internet, and it also solves the failure problem of using a single node.