bluuebunny/crossref_metadata_2025_split huggingface dataset:
SHP2 deficiency promotes Staphylococcus aureus pneumonia following influenza infection
Authors: Ouyang Wei , Liu Chao , Pan Ying , Han Yu , Yang Liping , Xia Jingyan , Xu Feng 
Published: November 2019

AbstractObjectivesSecondary bacterial pneumonia is common following influenza infection. However, it remains unclear about the underlying molecular mechanisms.Materials and methodsWe established a mouse model of post‐influenza S aureus pneumonia using conditional Shp2 knockout mice (LysMCre/+:Shp2flox/flox). The survival, bacterial clearance, pulmonary histology, phenotype of macrophages, and expression of type I interferons and chemokines were assessed between SHP2 deletion and control mice (Shp2flox/flox). We infused additional KC and MIP‐2 to examine the reconstitution of antibacterial immune response in LysMCre/+:Shp2flox/flox mice. The effect of SHP2 on signal molecules including MAPKs (JNK, p38 and Erk1/2), NF‐κB p65 and IRF3 was further detected.ResultsLysMCre/+:Shp2flox/flox mice displayed impaired antibacterial immunity and high mortality compared with control mice in post‐influenza S aureus pneumonia. The attenuated antibacterial ability was associated with the induction of type I interferon and suppression of chemo‐attractants KC and MIP‐2, which reduced the infiltration of neutrophils into the lung upon secondary bacterial invasion. In additional, Shp2 knockout mice displayed enhanced polarization to alternatively activated macrophages (M2 phenotype). Further in vitro analyses consistently demonstrated that SHP2‐deficient macrophages were skewed towards an M2 phenotype and had a decreased antibacterial capacity. Moreover, SHP2 modulated the inflammatory response to secondary bacterial infection via interfering with NF‐κB and IRF3 signalling in macrophages.ConclusionsOur findings reveal that the SHP2 expression enhances the host immune response and prompts bacterial clearance in post‐influenza S aureus pneumonia.
Conservation decisions under pressure: Lessons from an exercise in rapid response to wildlife disease
Authors: Canessa Stefano , Spitzen‐van der Sluijs Annemarieke , Stark Tariq , Allen Bryony E. , Bishop Phillip J. , Bletz Molly , Briggs Cheryl J. , Daversa David R. , Gray Matthew J. , Griffiths Richard A. , Harris Reid N. , Harrison Xavier A. , Hoverman Jason T. , Jervis Phillip , Muths Erin , Olson Deanna H. , Price Stephen J. , Richards‐Zawacki Corinne L. , Robert Jacques , Rosa Gonçalo M. , Scheele Ben C. , Schmidt Benedikt R. , Garner Trenton W. J. 
Published: November 2019

AbstractNovel outbreaks of emerging pathogens require rapid responses to enable successful mitigation. We simulated a 1‐day emergency meeting where experts were engaged to recommend mitigation strategies for a new outbreak of the amphibian fungal pathogen Batrachochytrium salamandrivorans. Despite the inevitable uncertainty, experts suggested and discussed several possible strategies. However, their recommendations were undermined by imperfect initial definitions of the objectives and scope of management. This problem is likely to arise in most real‐world emergency situations. The exercise thus highlighted the importance of clearly defining the context, objectives, and spatial–temporal scale of mitigation decisions. Managers are commonly under pressure to act immediately. However, an iterative process in which experts and managers cooperate to clarify objectives and uncertainties, while collecting more information and devising mitigation strategies, may be slightly more time consuming but ultimately lead to better outcomes.
Maternal almondex, a neurogenic gene, is required for proper subcellular Notch distribution in early Drosophila embryogenesis
Authors: Das Puspa , Salazar Jose L. , Li‐Kroeger David , Yamamoto Shinya , Nakamura Mitsutoshi , Sasamura Takeshi , Inaki Mikiko , Masuda Wataru , Kitagawa Motoo , Yamakawa Tomoko , Matsuno Kenji 
Published: November 2019

AbstractNotch signaling plays crucial roles in the control of cell fate and physiology through local cell–cell interactions. The core processes of Notch signal transduction are well established, but the mechanisms that fine‐tune the pathway in various developmental and post‐developmental contexts are less clear. Drosophila almondex, which encodes an evolutionarily conserved double‐pass transmembrane protein, was identified in the 1970s as a maternal‐effect gene that regulates Notch signaling in certain contexts, but its mechanistic function remains obscure. In this study, we examined the role of almondex in Notch signaling during early Drosophila embryogenesis. We found that in addition to being required for lateral inhibition in the neuroectoderm, almondex is also partially required for Notch signaling‐dependent single‐minded expression in the mesectoderm. Furthermore, we found that almondex is required for proper subcellular Notch receptor distribution in the neuroectoderm, specifically during mid‐stage 5 development. The absence of maternal almondex during this critical window of time caused Notch to accumulate abnormally in cells in a mesh‐like pattern. This phenotype did not include any obvious change in subcellular Delta ligand distribution, suggesting that it does not result from a general vesicular‐trafficking defect. Considering that dynamic Notch trafficking regulates signal output to fit the specific context, we speculate that almondex may facilitate Notch activation by regulating intracellular Notch receptor distribution during early embryogenesis.
Anxious to see you: Neuroendocrine mechanisms of social vigilance and anxiety during adolescence
Authors: Wright Emily C. , Hostinar Camelia E. , Trainor Brian C. 
Published: November 2019

AbstractSocial vigilance is a behavioral strategy commonly used in adverse or changing social environments. In animals, a combination of avoidance and vigilance allows an individual to evade potentially dangerous confrontations while monitoring the social environment to identify favorable changes. However, prolonged use of this behavioral strategy in humans is associated with increased risk of anxiety disorders, a major burden for human health. Elucidating the mechanisms of social vigilance in animals could provide important clues for new treatment strategies for social anxiety. Importantly, during adolescence the prevalence of social anxiety increases significantly. We hypothesize that many of the actions typically characterized as anxiety behaviors begin to emerge during this time as strategies for navigating more complex social structures. Here, we consider how the social environment and the pubertal transition shape neural circuits that modulate social vigilance, focusing on the bed nucleus of the stria terminalis and prefrontal cortex. The emergence of gonadal hormone secretion during adolescence has important effects on the function and structure of these circuits, and may play a role in the emergence of a notable sex difference in anxiety rates across adolescence. However, the significance of these changes in the context of anxiety is still uncertain, as not enough studies are sufficiently powered to evaluate sex as a biological variable. We conclude that greater integration between human and animal models will aid the development of more effective strategies for treating social anxiety.
Parent Socialization of Coping and Child Emotion Regulation Abilities: A Longitudinal Examination
Authors: Peisch Virginia , Dale Chelsea , Parent Justin , Burt Keith 
Published: November 2019

This study examined the hypothesis that parent socialization of coping (SOC) would have a longitudinal relation with child emotion regulation abilities. Participants included a sample of 256 parents of 5‐ to 12‐year‐old children (child M age = 8.36, SD = 2.03, 54.7% male; parent M age = 34.49, SD = 6.20, 59% female). Data on demographic information, parenting behaviors, and child emotion regulation abilities were collected via online questionnaires at baseline and 12 months. Results from longitudinal structural equation modeling (SEM) analyses suggested that parent SOC, measured at baseline, predicted child adaptive and maladaptive emotion regulation, measured 12 months later. More specifically, parental engagement coping suggestions predicted child's adaptive emotion regulation, whereas parental disengagement coping suggestions predicted child's maladaptive emotion regulation. Further, child gender emerged as a moderator in the longitudinal association between socialization of engagement coping and child adaptive emotion regulation: Whereas this association was small and marginally significant for girls, it was large and statistically significant for boys. Results highlight the importance of parent SOC as potentially contributing to emotion regulation abilities of 5‐ to 12‐year‐olds.
Characterization of an intermolecular quaternary interaction between discrete segments of the Streptococcus mutans adhesin P1 by NMR spectroscopy
Authors: Rivière Gwladys , Peng Emily‐Qingqing , Brotgandel Albert , Andring Jacob T. , Lakshmanan Renuk V. , Agbandje‐McKenna Mavis , McKenna Robert , Brady L. Jeannine , Long Joanna R. 
Published: November 2019

Cell surface‐localized P1 adhesin (aka Antigen I/II or PAc) of the cariogenic bacterium Streptococcus mutans mediates sucrose‐independent adhesion to tooth surfaces. Previous studies showed that P1’s C‐terminal segment (C123, AgII) is also liberated as a separate polypeptide, contributes to cellular adhesion, interacts specifically with intact P1 on the cell surface, and forms amyloid fibrils. Identifying how C123 specifically interacts with P1 at the atomic level is essential for understanding related virulence properties of S. mutans. However, with sizes of ~ 51 and ~ 185 kDa, respectively, C123 and full‐length P1 are too large to achieve high‐resolution data for full structural analysis by NMR. Here, we report on biologically relevant interactions of the individual C3 domain with A3VP1, a polypeptide that represents the apical head of P1 as it is projected on the cell surface. Also evaluated are C3’s interaction with C12 and the adhesion‐inhibiting monoclonal antibody (MAb) 6‐8C. NMR titration experiments with 15N‐enriched C3 demonstrate its specific binding to A3VP1. Based on resolved C3 assignments, two binding sites, proximal and distal, are identified. Complementary NMR titration of A3VP1 with a C3/C12 complex suggests that binding of A3VP1 occurs on the distal C3 binding site, while the proximal site is occupied by C12. The MAb 6‐8C binding interface to C3 overlaps with that of A3VP1 at the distal site. Together, these results identify a specific C3‐A3VP1 interaction that serves as a foundation for understanding the interaction of C123 with P1 on the bacterial surface and the related biological processes that stem from this interaction.DatabaseBMRB submission code: 27935.
Model parameterization to represent processes at unresolved scales and changing properties of evolving systems
Authors: Luo Yiqi , Schuur Edward A. G. 
Published: November 2019

AbstractModeling has become an indispensable tool for scientific research. However, models generate great uncertainty when they are used to predict or forecast ecosystem responses to global change. This uncertainty is partly due to parameterization, which is an essential procedure for model specification via defining parameter values for a model. The classic doctrine of parameterization is that a parameter is constant. However, it is commonly known from modeling practice that a model that is well calibrated for its parameters at one site may not simulate well at another site unless its parameters are tuned again. This common practice implies that parameter values have to vary with sites. Indeed, parameter values that are estimated using a statistically rigorous approach, that is, data assimilation, vary with time, space, and treatments in global change experiments. This paper illustrates that varying parameters is to account for both processes at unresolved scales and changing properties of evolving systems. A model, no matter how complex it is, could not represent all the processes of one system at resolved scales. Interactions of processes at unresolved scales with those at resolved scales should be reflected in model parameters. Meanwhile, it is pervasively observed that properties of ecosystems change over time, space, and environmental conditions. Parameters, which represent properties of a system under study, should change as well. Tuning has been practiced for many decades to change parameter values. Yet this activity, unfortunately, did not contribute to our knowledge on model parameterization at all. Data assimilation makes it possible to rigorously estimate parameter values and, consequently, offers an approach to understand which, how, how much, and why parameters vary. To fully understand those issues, extensive research is required. Nonetheless, it is clear that changes in parameter values lead to different model predictions even if the model structure is the same.
The overlooked spatial dimension of climate‐smart agriculture
Authors: Prestele Reinhard , Verburg Peter H. 
Published: November 2019

AbstractClimate‐smart agriculture (CSA) and sustainable intensification (SI) are widely claimed to be high‐potential solutions to address the interlinked challenges of food security and climate change. Operationalization of these promising concepts is still lacking and potential trade‐offs are often not considered in the current continental‐ to global‐scale assessments. Here we discuss the effect of spatial variability in the context of the implementation of climate‐smart practices on two central indicators, namely yield development and carbon sequestration, considering biophysical limitations of suggested benefits, socioeconomic and institutional barriers to adoption, and feedback mechanisms across scales. We substantiate our arguments by an illustrative analysis using the example of a hypothetical large‐scale adoption of conservation agriculture (CA) in sub‐Saharan Africa. We argue that, up to now, large‐scale assessments widely neglect the spatially variable effects of climate‐smart practices, leading to inflated statements about co‐benefits of agricultural production and climate change mitigation potentials. There is an urgent need to account for spatial variability in assessments of climate‐smart practices and target those locations where synergies in land functions can be maximized in order to meet the global targets. Therefore, we call for more attention toward spatial planning and landscape optimization approaches in the operationalization of CSA and SI to navigate potential trade‐offs.
Groundwater Depth Forecasting Using Configurational Entropy Spectral Analyses with the Optimal Input
Authors: Guo Tianli , Song Songbai , Shi Jihai , Li Jun 
Published: November 2019

AbstractAccurate groundwater depth forecasting is particularly important for human life and sustainable groundwater management in arid and semi‐arid areas. To improve the groundwater forecasting accuracy, in this paper, a hybrid groundwater depth forecasting model using configurational entropy spectral analyses (CESA) with the optimal input is constructed. An original groundwater depth series is decomposed into subseries of different frequencies using the variational mode decomposition (VMD) method. Cross‐correlation analysis and Shannon entropy methods are applied to select the optimal input series for the model. The ultimate forecasted values of the groundwater depth can be obtained from the various forecasted values of the selected series with the CESA model. The applicability of the hybrid model is verified using the groundwater depth data from four monitoring wells in the Xi'an of Northwest China. The forecasting accuracy of the models was evaluated based on the average relative error (RE), root mean square error (RMSE), correlation coefficient (R) and Nash‐Sutcliffe coefficient (NSE). The results indicated that comparing with the CESA and autoregressive model, the hybrid model has higher prediction performance.
Management Consulting: Towards an Integrative Framework of Knowledge, Identity, and Power
Authors: Mosonyi Szilvia , Empson Laura , Gond Jean‐Pascal 
Published: November 2019

AbstractThis paper reviews the past 28 years of scholarship on management consulting to synthesize the field and establish more broadly its contribution to management research. Through a systematic review of 219 articles, we identify three core conceptual themes – knowledge, identity, and power – that have dominated the literature to date. Through a thematic inductive analysis of a subsection of articles, we then investigate how these themes have been defined, used, and linked. This allows us to uncover and problematize the relationships between these themes. In making explicit underlying theoretical assumptions and relationships between knowledge, identity, and power, we induce a unique framework that can guide and support future studies, instigate metaparadigmatic dialogue, and thus help consolidate the field.
Dissecting pharmacological effects of chloroquine in cancer treatment: interference with inflammatory signaling pathways
Authors: Varisli Lokman , Cen Osman , Vlahopoulos Spiros 
Published: November 2019

SummaryChloroquines are 4‐aminoquinoline‐based drugs mainly used to treat malaria. At pharmacological concentrations, they have significant effects on tissue homeostasis, targeting diverse signaling pathways in mammalian cells. A key target pathway is autophagy, which regulates macromolecule turnover in the cell. In addition to affecting cellular metabolism and bioenergetic flow equilibrium, autophagy plays a pivotal role at the interface between inflammation and cancer progression. Chloroquines consequently have critical effects in tissue metabolic activity and importantly, in key functions of the immune system. In this article, we will review the work addressing the role of chloroquines in the homeostasis of mammalian tissue, and the potential strengths and weaknesses concerning their use in cancer therapy.
A Selective Overview and Comparison of Robust Mixture Regression Estimators
Authors: Yu Chun , Yao Weixin , Yang Guangren 
Published: November 2019

SummaryMixture regression models have been widely used in business, marketing and social sciences to model mixed regression relationships arising from a clustered and thus heterogeneous population. The unknown mixture regression parameters are usually estimated by maximum likelihood estimators using the expectation–maximisation algorithm based on the normality assumption of component error density. However, it is well known that the normality‐based maximum likelihood estimation is very sensitive to outliers or heavy‐tailed error distributions. This paper aims to give a selective overview of the recently proposed robust mixture regression methods and compare their performance using simulation studies.
Selective debridement of burn wounds using hydrosurgery system
Authors: Yuan Mingzhou , Yin Meifang , Zhang Lijun , Feng Jinghao , Zhu Junyou , Zhou Ziheng , Shu Bin , Zhou Fei , Zhang Fangyingnan , Yin Hanxiao , Wang Xiaoyan , Qi Shaohai , Wu Jun 
Published: November 2019

AbstractIn recent years, hydrosurgery is a technology that has been applied more and more in debridement procedures. However, the selectivity of hydrosurgery to cutaneous necrotic tissues has not been proved. This study was designed to investigate the possible tissue selectivity of hydrosurgery in the debridement in burn wounds. Deep partial‐thickness burns were produced on the back of porcine, and 48 hours later, both burn wounds and normal skin were debrided using the hydrosurgery system. Then tissue samples were taken, and histological staining was performed and observed under microscope. Burn wound resection rates and the normal skin damaged rates were measured. Our result indicated that the burn wounds were significantly more sensitive than the normal skin when the water pressure produced by the hydrosurgery system was set between 3000 and 5000 psi (pounds per square inch), that is, the necrotic tissue portions were debrided more easily than the normal skin tissue. Based on these data, we suggest that 3000 to 5000 psi of water pressure in the hydrosurgery system has a skin tissue selectivity in burn wounds.
Modeling batch melting: Roles of heat transfer and reaction kinetics
Authors: Pokorný Richard , Hrma Pavel , Lee Seungmin , Klouzek Jaroslav , Choudhary Manoj K. , Kruger Albert A. 
Published: November 2019

AbstractDevelopment of mathematical models of heat and mass transfer in glass‐melting furnaces began in the 1970s and progressed rapidly with advances in sophisticated experimental/numerical techniques and increasing computational power. Today, practically all newly built or rebuilt furnaces are optimized with these models to meet stringent quality requirements, reduce the unit costs of manufacturing, or control emissions. One remaining hurdle is to model the batch‐to‐glass conversion accurately enough to reliably assess the glass production rate. This article summarizes two key aspects of the batch‐conversion modeling—the heat transfer and the kinetics of conversion—and reviews the current state‐of‐the‐art approaches to simulating them. We critically examine the advantages of the commonly used heat transfer approach, but also explain that its predictive capabilities are significantly restricted by the dependence of batch thermal properties on the time‐temperature history. We argue that kinetic approaches to the batch‐conversion modeling would offer a significant improvement when coupled with the heat transfer approach. Finally, we summarize key areas requiring further research on the way toward a realistic model of the batch blanket.
Can consumer complaints reduce product reliability? Should we worry?
Authors: Coleff Joaquín 
Published: November 2019

AbstractWe analyze a monopolist's pricing and product reliability decision in a model where consumers are entitled to product replacement if the product fails, but have heterogeneous costs of exercising this right. Our main result shows that, under some conditions, a decrease in consumers expected to claim cost leads to a decrease in product reliability but an increase in profit and welfare. This result is robust to a number of extensions. Our results are in line with anecdotal evidence suggesting that changes in consumers’ claiming cost can be induced by both third parties (governments, consumers’ organizations, private enterprises, etc.) and firms. More precisely, since, under some conditions, profit and welfare align, public initiatives oriented to lower consumers’ claiming cost will be ultimately joined by firms that benefit from further increases in complaints.
Bait and ditch: Consumer naïveté and salesforce incentives
Authors: Herweg Fabian , Rosato Antonio 
Published: November 2019

AbstractWe analyze a model of price competition between a transparent retailer and a deceptive one in a market where a fraction of consumers is naïve. The transparent retailer is an independent shop managed by its owner. The deceptive retailer belongs to a chain and is operated by a manager. The two retailers sell an identical base product, but the deceptive one also offers an add‐on. Rational consumers never consider buying the add‐on while naïve ones can be “talked” into buying it. By offering the manager a contract that pushes him to never sell the base good without the add‐on, the chain can induce an equilibrium in which both retailers obtain more‐than‐competitive profits. The equilibrium features price dispersion and market segmentation, with the deceptive retailer targeting only naïve consumers whereas the transparent retailer serves only rational ones.