bluuebunny/crossref_metadata_2025 huggingface dataset:
From elliptic multiple zeta values to modular graph functions: open and closed strings at one loop
Authors: Broedel Johannes , Schlotterer Oliver , Zerbini Federico
Published: January 2019

Abstract

We relate one-loop scattering amplitudes of massless open- and closed-string states at the level of their low-energy expansion. The modular graph functions resulting from integration over closed-string punctures are observed to follow from symmetrized open-string integrals through a tentative generalization of the single-valued projection known from genus zero.
Utilising Principles of Earth Jurisprudence to Prevent Environmental Harm: Applying a Case Study of Unconventional Hydraulic Fracturing for Shale Gas in the United Kingdom
Authors: Lampkin Jack A. , Wyatt Tanya
Published: January 2019

Approaching behaviour that produces environmental harm through the medium of criminal sanctions (largely involving monetary penalties) has been criticised consistently as failing to prevent environmental crimes and harms, and failing to concurrently reduce environmental re-offending. Furthermore, important state–corporate political and economic relationships exist that ensure the continuation of environmental degradation. We suggest that a way to overcome this is to re-work the current legal system to one grounded in Earth jurisprudence. Although we realise that state–corporate relationships would likely prevent the implementation of Earth jurisprudential principles, we argue such principles are essential to up-end the prioritisation of economic imperatives over ecological values within capitalist societies. To demonstrate the strength and utility of the Earth jurisprudential approach, we use the case of fracking for shale gas in the United Kingdom to examine how Earth jurisprudential principles could prevent environmental harm from occurring.
Open-Source Public Transportation Mobility Simulation Engine DTALite-S: A Discretized Space–Time Network-Based Modeling Framework for Bridging Multi-agent Simulation and Optimization
Authors: Tong Lu , Pan Yuyan , Shang Pan , Guo Jifu , Xian Kai , Zhou Xuesong
Published: January 2019

Recently, an open-source light-weight dynamic traffic assignment (DTA) package, namely DTALite, has been developed to allow a rapid utilization of advanced dynamic traffic analysis capabilities. Aiming to bridge the modeling gaps between multi-agent simulation and optimization in a multimodal environment, we further design and develop DTALite-S to simplify the traffic flow dynamic representation details in DTALite for future extensions. We hope to offer a unified modeling framework with inherently consistent space–time network representations for both optimization formulation and simulation process. This paper includes three major modeling components: (1) mathematic formulations to describe traffic and public transportation simulation problem on a space–time network; (2) transportation transition dynamics involving multiple agents in the optimization process; (3) an alternating direction method of multipliers (ADMM)-based modeling structure to link different features between multi-agent simulation and optimization used in transportation. This unified framework can be embedded in a Lagrangian relaxation method and a time-oriented sequential simulation procedure to handle many general applications. We carried out a case study by using this unified framework to simulate the  passenger traveling process in Beijing subway network which contains 18 urban rail transit lines, 343 stations, and 52 transfer stations. Via the ADMM-based solution approach, queue lengths at platforms, in-vehicle congestion levels and absolute deviation of travel times are obtained within 1560 seconds.The case study indicate that the open-source DTALite-S integrates simulation and optimization procedure for complex dynamic transportation systems and can efficiently generate comprehensive space-time traveling status.
Diabetes is a Risk Factor for Inflatable Penile Prosthesis Infection: Analysis of a Large Statewide Database
Authors: Lipsky Michael J. , Onyeji Ifeanyi , Golan Ron , Munarriz Ricardo , Kashanian James A. , Stember Doron S. , Stahl Peter J.
Published: January 2019

Introduction

Although diabetes mellitus (DM) is often discussed as a risk factor for inflatable penile prosthesis (IPP) infection, the link between DM diagnosis and IPP infection remains controversial. High-quality population-based data linking DM to an increased risk of IPP infection have not been published.

Aim

To evaluate the association of DM with IPP infection in a large public New York state database.

Methods

The New York Statewide Planning and Research Cooperative System (SPARCS) database was queried for men who underwent initial IPP insertion from 1995–2014. Diabetic patients were identified using ICD-9-CM codes. Patients presenting for first operation with diagnosis or Current Procedural Terminology codes suggestive of prior IPP surgery were excluded. Chi-squared analyses were performed to compare infection rates in diabetics and non-diabetics within the pre- and postantibiotic impregnated eras. Multivariate Cox proportional hazards models were constructed to evaluate whether or not DM was independently associated with IPP infection in the time periods before (1995–2003) and after (2004–2014) the widespread availability of antibiotic impregnated penile prostheses.

Main Outcome Measure

Time to prosthesis infection was measured.

Results

14,969 patients underwent initial IPP insertion during the study period. The overall infection rate was 343/14,969 (2.3%). Infections occurred at a median 3.9 months after implant (interquartile ratio: 1.0–25.0 months). Infectious complications were experienced by 3% (133/4,478) of diabetic patients and 2% (210/10,491) of non-diabetic patients (P < .001). Diabetes was associated with a significantly increased IPP infection risk on multivariable analysis controlling for age, race, comorbidities, insurance status, annual surgeon volume, and era of implantation (Hazard Ratio: 1.32, 95% CI: 1.05–1.66, P = .016).

Conclusion

Our analysis supports the notion that DM is a risk factor for IPP infection. This has important implications for patient selection and counseling, and raises the question of whether this increased risk can be mitigated by optimization of glycemic control before surgery.
IL-10 is associated with increased mu-opioid receptor levels in major depressive disorder
Authors: Al-Fadhel Suhaer Zeki , Al-Hakeim Hussein Kadhem , Al-Dujaili Arafat Hussein , Maes Michael
Published: January 2019

Objective:

Activation of the immune-inflammatory response system (IRS) and the compensatory immune-regulatory system (CIRS) and aberrations in endogenous opioids play a role in the pathophysiology of major depressive disorder (MDD). There are no studies which examined the associations between both systems in MDD. The aim of the present study was to examine the relation between β-Endorphin (β-EP), Endomorphin-2, and their mu-opioid receptor (MOR) as well as interleukin (IL)-6 and IL-10, an anti-inflammatory cytokine, in MDD patients.

Method:

The study included 60 depressed drug-free male patients and 30 matched controls. Serum β-EP, Endomorphin-2, MOR, IL-6 and IL-10 levels were measured using ELISA techniques.

Results:

The results revealed a significant increase in serum β-EP, MOR, IL-6 and IL-10 in MDD patients versus healthy controls. MOR levels were strongly associated with IL-10 levels. There were no significant correlations between endogenous opioids and IL-6 and IL-10.

Conclusion:

The results show that MOR levels may function as a possible component of the CIRS whilst there is no evidence that β-EP and EM-2 may modify the IRS. The significant correlation between MOR levels and IL-10 may be explained through central activation of the HPA-axis and increased B-cell numbers expressing MOR as a response to cytokine over-secretion in MDD.
A novel rapid method of purely elastic solution correction to estimate multiaxial elastic-plastic behaviour
Authors: Antoni Nicolas
Published: January 2019

In structural analysis, it is of paramount importance to assess the level of plasticity a structure may experience under monotonic or cyclic loading as this may have a significant impact, particularly in fatigue analysis for singular areas. For efficient design analyses, it is often searched for a compromise in accuracy that consists in correcting a purely elastic analysis, generally simpler and faster to obtain compared to a full non-linear Finite Element (FE) analysis involving elastic-plastic behaviour, to estimate the actual elastic-plastic solution. There exists a great number of correction techniques in the literature among which the most famous and commonly used are Neuber and ESED energy-based methods. Nonetheless, both of them are known to provide respectively upper and lower bounds of the exact solution in most cases, with a relative deviation depending on the level of multiaxiality and on the amount of stress redistribution due to yielding. The new methodology presented in this paper is based on the well-known multiaxial Radial Return Method (RRM) revisited using effective parameters approach. By essence, it is fast and can be applied either to analytical elastic problems or to more complex three-dimensional elastic FE analyses. The accuracy of the proposed method is assessed by direct comparison with results from Neuber and ESED methods on various examples. It is also shown for each of them that this new method is very good agreement with the exact elastic-plastic solution.

Highlights A new technique of purely elastic solution correction is presented and evaluated. The proposed method relies on the modification of Return Radial Method (RRM) considering effective parameters in lieu of initial elastic tensor. The obtained equation preserves the simplicity and efficiency of other well-known energy-based methods such as Neuber and ESED. It is shown on several examples that the proposed technique is in very good agreement with the exact or FE elastic-plastic solution, with very low relative deviation.
New sharks and other chondrichthyans from the latest Maastrichtian (Late Cretaceous) of North America
Authors: Gates Terry A. , Gorscak Eric , Makovicky Peter J.
Published: January 2019

Cretaceous aquatic ecosystems were amazingly diverse, containing most clades of extant aquatic vertebrates as well as an array of sharks and rays not present today. Here we report on the chondrichthyan fauna from the late Maastrichtian site that yielded the Tyrannosaurus rex skeleton FMNH PF 2081 (“SUE”). Significant among the recovered fauna is an unidentified species of carcharhinid shark that adds to the fossil record of this family in the Cretaceous, aligning with estimates from molecular evidence of clade originations. Additionally, a new orectolobiform shark, here named Galagadon nordquistae n. gen. n. sp., is diagnosed on the basis on several autapomorphies from over two-dozen teeth. Common chondrichthyan species found at the “SUE” locality include Lonchidion selachos and Myledaphus pustulosus. Two phylogenetic analyses (Maximum Parsimony and Bayesian Inference) based on twelve original dental character traits combined with 136 morphological traits from a prior study of 28 fossil and extant taxa, posited Galagadon n. gen. in two distinct positions: as part of a clade inclusive of the fossil species Cretorectolobus olsoni and Cederstroemia triangulata plus extant orectolobids from the Maximum Parsimony analysis; and as the sister taxon to all extant hemiscyllids from the Bayesian Inference. Model-based biogeographical reconstructions based on both optimal trees suggest rapid island hopping-style dispersal from the Western Pacific to the Western Interior Seaway of North America where Galagadon n. gen. lived. Alternatively, the next preferred model posits a broader, near-global distribution of Orectolobiformes with Galagadon n. gen. dispersing into its geographic position from this large ancestral range.

UUID: http://zoobank.org/61e32ffc-4f87-4ff7-820d-0bb33a80f0a0
Bayesian statistics to test Bayes optimality
Authors: Turner Brandon M. , McClelland James L. , Busemeyer Jerome
Published: January 2019

We agree with the authors that putting forward specific models and examining their agreement with experimental data are the best approach for understanding the nature of decision making. Although the authors only consider the likelihood function, prior, cost function, and decision rule (LPCD) framework, other choices are available. Bayesian statistics can be used to estimate essential parameters and assess the degree of optimality.
LPCD framework: Analytical tool or psychological model?
Authors: Danks David
Published: January 2019

The target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.
Serial effects are optimal
Authors: Cicchini Guido Marco , Burr David C.
Published: January 2019

In the target article, Rahnev & Denison (R&D) use serial effects as an example of suboptimality. We show here that serial effects can be beneficial to perception, serving to reduce both error and response times in a near-optimal fashion. Furthermore, serial effects for stable attributes are positive, whereas those for changeable attributes are negative, demonstrating that they are engaged flexibly to optimize performance.
When the simplest voluntary decisions appear patently suboptimal
Authors: Salinas Emilio , Seideman Joshua A. , Stanford Terrence R.
Published: January 2019

Rahnev & Denison (R&D) catalog numerous experiments in which performance deviates, often in subtle ways, from the theoretical ideal. We discuss an extreme case, an elementary behavior (reactive saccades to single targets) for which a simple contextual manipulation results in responses that are dramatically different from those expected based on reward maximization – and yet are highly informative and amenable to mechanistic examination.
Leveraging decision consistency to decompose suboptimality in terms of its ultimate predictability
Authors: Wyart Valentin
Published: January 2019

Although the suboptimality of perceptual decision making is indisputable in its strictest sense, characterizing the nature of suboptimalities constitutes a valuable drive for future research. I argue that decision consistency offers a rarely measured, yet important behavioral metric for decomposing suboptimality (or, more generally, deviations from any candidate model of decision making) into ultimately predictable and inherently unpredictable components.
Strength in numbers: A survival strategy that helps explain social bonding and commitment
Authors: Lankford Adam
Published: January 2019

We seek strength in numbers as a survival strategy, so it seems unlikely that social bonds would make us want to intentionally die. However, our deep desire to be protected may explain our attraction to exaggerated notions of intentional self-sacrifice – even though research on suicide terrorists, kamikaze pilots, and cult members suggests they were not actually dying for their group.
What motivates devoted actors to extreme sacrifice, identity fusion, or sacred values?
Authors: Atran Scott , Gómez Ángel
Published: January 2019

Why do some individuals willingly make extreme sacrifices for their group? Whitehouse argues that such willingness stems from a visceral feeling of oneness with the group – identity fusion – that emerges from intense, shared dysphoric experiences or from perceived close kinship with others. Although Whitehouse's argument makes a valuable contribution to understanding extreme sacrifice, factors independent of identity fusion, such as devotion to sacred values, can predict self-sacrifice.
Identity fusion “in the wild”: Moving toward or away from a general theory of identity fusion?
Authors: Swann William B. , Jetten Jolanda
Published: January 2019

Whitehouse's focus on two causes of identity fusion (evolution and shared experiences/biology) deepens understanding of these specific topics. While we applaud his analysis, in his efforts to elaborate these two causes, he has – perhaps unavoidably – produced a narrower conceptualization of identity fusion. This is unfortunate because it undermines his stated goal of developing a more general, encompassing theory.
Origins of social fusion
Authors: Rochat Philippe
Published: January 2019

Do instances of extreme self-sacrifice represent a valid paradigm to capture what makes typical individuals fuse with others? Probably not, because they can be viewed as aberrant phenomena. To understand the origins and mechanisms of human social fusion, one should first look at the development of babies and young children. Typical development represents the best alternative to Whitehouse's extreme model of social fusion.
Extreme self-sacrifice beyond fusion: Moral expansiveness and the special case of allyship
Authors: Crimston Daniel , Hornsey Matthew J.
Published: January 2019

As a general theory of extreme self-sacrifice, Whitehouse's article misses one relevant dimension: people's willingness to fight and die in support of entities not bound by biological markers or ancestral kinship (allyship). We discuss research on moral expansiveness, which highlights individuals’ capacity to self-sacrifice for targets that lie outside traditional in-group markers, including racial out-groups, animals, and the natural environment.
Does identity fusion give rise to the group – or the reverse? Politics- versus community-based groups
Authors: Khalil Elias L.
Published: January 2019

This comment questions Whitehouse's theory. This comment proffers that people first choose their identity and later employ shared facts from the past to cement it. This is true with respect to two kinds of group identity: politics- and community-based identities. Contrary to Whitehouse, neither shared biology nor shared experience from the past is necessary for the constitution of either kind.
Considering selection pressures for identity fusion and self-sacrifice in small-scale societies
Authors: Wiessner Polly
Published: January 2019

Whitehouse's view that our ultrasocial species evolved in small, warring bands is questioned, and alternative social selection pressures for the evolution of identity fusion and self-sacrifice in small-scale societies are proposed. Short durations of states of fusion allow for re-evaluation of risks; the consolidation of episodic memories into collective oral traditions elicits cooperation. Dysmorphic memories may be more powerful in generating identity fusion when followed by euphoric ones, as in “rites of torture” in male initiations.
Segregation and belief polarization as boundary conditions for when fusion leads to self-sacrifice
Authors: Melton Zachary J. , Motyl Matt
Published: January 2019

Physical enclavement, away from out-group members, may determine when identify fusion leads to self-sacrifice. When people surround themselves with ideologically similar others, their attitudes may polarize and become moralized, leading to more violence and hostility toward people who do not share those attitudes. We discuss how this segregation may increase the amount of political violence in typically nonviolent systems.
Accumulative fusion and the issue of age: Reconciling the model with the data
Authors: Rosenzweig Cheskie , Ruisch Benjamin C. , Stern Chadly
Published: January 2019

We discuss a disconnect between the predictions of Whitehouse's model regarding the accumulative nature of fusion and real-world data regarding the age at which people generally engage in self-sacrifice. We argue that incorporating the link between age and identity development into Whitehouse's theoretical framework is central to understanding when and why people engage in self-sacrifice on behalf of the group.
Religious Attendance Moderates the Environmental Effect on Prosocial Behavior in Nigerian Adolescents
Authors: Hur Yoon-Mi , Jeong Hoe-Uk , Ajose Frances , Knafo-Noam Ariel
Published: January 2019

There is a growing body of literature linking religious attendance to prosocial behavior (PB). The main purposes of the present study were to estimate genetic and environmental influences on the frequency of religious attendance (FRA) and to explore whether and how FRA moderates genetic and/or environmental influences on PB. As part of the Nigerian Twin and Sibling Study, 2860 (280 monozygotic male, 417 monozygotic female, 544 dizygotic male, 699 dizygotic female, and 920 opposite-sex dizygotic) twins (mean age = 14.2 years; SD = 1.7 years; age range = 12–18 years) completed a questionnaire regarding FRA and a PB scale. Similar to the findings from western twin samples, FRA showed substantial shared environmental influences of 74% (95% CI = 69%, 78%), with absence of genetic effects. The phenotypic correlation between FRA and PB was modest but positive and significant (r = .12; p < .01), suggesting that PB is higher among more frequent attenders than among less frequent attenders. The results of gene–environment (G × E) interaction model-fitting analysis revealed that FRA changed individual environmental experiences rather than genetic effects on PB such that while genetic variance was stable, non-shared environmental variance declined, leading the total phenotypic variance of PB to decrease with increasing levels of religious attendance.
Does Gestational Diabetes Cause Additional Risk in Twin Pregnancy?
Authors: Sheehan Annabel C. M. , Umstad Mark P. , Cole Stephen , Cade Thomas J.
Published: January 2019

It has been suggested that the risk of adverse perinatal outcomes in twin pregnancies is exacerbated by concomitant gestational diabetes mellitus (GDM). This study aimed to assess the risk incurred by twin pregnancy and by a diagnosis of GDM, separately, on the development of poor perinatal outcomes. A retrospective cohort study was conducted on all pregnant women at a tertiary center between 2016 and 2017. The impact of GDM and twin pregnancies on perinatal outcomes — birth weight above the 90th centile for gestational age, cesarean delivery, clinical neonatal hypoglycemia, and premature delivery (before 37 weeks’ gestation) — was assessed using univariate and multivariate analyses. Overall, 13,527 women were eligible for the study; 11,915 were uncomplicated singleton pregnancies; 1379 of these had GDM; 194 were twin pregnancies, and 39 of these had GDM. Univariate analyses showed that twin pregnancies were associated with a higher risk of all perinatal outcomes except macrosomia. In the multivariate analyses, twin pregnancy was a much higher predictor of cesarean delivery (OR 8.40, 95% CI [6.25, 11.49], p < .0001) and preterm birth (OR 58.82, 95% CI [31.25, 125], p < .0001) compared to GDM but GDM was a higher predictor of neonatal hypoglycemia (OR 4.87, 95% CI [3.74, 6.29], p < .0001). Twin pregnancy is more strongly associated with all adverse perinatal outcomes except macrosomia. GDM does not increase risk of adverse perinatal outcomes except for neonatal hypoglycemia.
Social Competence in Parents Increases Children’s Educational Attainment: Replicable Genetically-Mediated Effects of Parenting Revealed by Non-Transmitted DNA
Authors: Bates Timothy C. , Maher Brion S. , Colodro-Conde Lucía , Medland Sarah E. , McAloney Kerrie , Wright Margaret J. , Hansell Narelle K. , Okbay Aysu , Kendler Kenneth S. , Martin Nicholas G. , Gillespie Nathan A.
Published: January 2019

We recently reported an association of offspring educational attainment with polygenic risk scores (PRS) computed on parent’s non-transmitted alleles for educational attainment using the second GWAS meta-analysis article on educational attainment published by the Social Science Genetic Association Consortium. Here we test the replication of these findings using a more powerful PRS from the third GWAS meta-analysis article by the Consortium. Each of the key findings of our previous paper is replicated using this improved PRS (N = 2335 adolescent twins and their genotyped parents). The association of children’s attainment with their own PRS increased substantially with the standardized effect size, moving from β = 0.134, 95% CI = 0.079, 0.188 for EA2, to β = 0.223, 95% CI = 0.169, 0.278, p < .001, for EA3. Parent’s PRS again predicted the socioeconomic status (SES) they provided to their offspring and increased from β = 0.201, 95% CI = 0.147, 0.256 to β = 0.286, 95% CI = 0.239, 0.333. Importantly, the PRS for alleles not transmitted to their offspring — therefore acting via the parenting environment — was increased in effect size from β = 0.058, 95% CI = 0.003, 0.114 to β = 0.067, 95% CI = 0.012, 0.122, p = .016. As previously found, this non-transmitted genetic effect was fully accounted for by parental SES. The findings reinforce the conclusion that genetic effects of parenting are substantial, explain approximately one-third the magnitude of an individual’s own genetic inheritance and are mediated by parental socioeconomic competence.
A Mantle Plume Origin for the Scandinavian Dyke Complex: A “Piercing Point” for 615 Ma Plate Reconstruction of Baltica?
Authors: Tegner Christian , Andersen Torgeir B. , Kjøll Hans Jørgen , Brown Eric L. , Hagen‐Peter Graham , Corfu Fernando , Planke Sverre , Torsvik Trond H.
Published: January 2019

The origin of Large Igneous Provinces (LIPs) associated with continental breakup and the reconstruction of continents older than ca. 320 million years (pre‐Pangea) are contentious research problems. Here we study the petrology of a 615–590 Ma dolerite dyke complex that intruded rift basins of the magma‐rich margin of Baltica and now is exposed in the Scandinavian Caledonides. These dykes are part of the Central Iapetus Magmatic Province (CIMP), a LIP emplaced in Baltica and Laurentia during opening of the Caledonian Wilson Cycle. The >1,000‐km‐long dyke complex displays lateral geochemical zonation from enriched to depleted basaltic compositions from south to north. Geochemical modelling of major and trace elements shows these compositions are best explained by melting hot mantle 75–250 °C above ambient mantle. Although the trace element modelling solutions are nonunique, the best explanation involves melting a laterally zoned mantle plume with enriched and depleted peridotite lithologies, similar to present‐day Iceland and to the North Atlantic Igneous Province. The origin of CIMP appears to have involved several mantle plumes. This is best explained if rifting and breakup magmatism coincided with plume generation zones at the margins of a Large Low Shear‐wave Velocity Province (LLSVP) at the core mantle boundary. If the LLSVPs are quasi‐stationary back in time as suggested in recent geodynamic models, the CIMP provides a guide for reconstructing the paleogeography of Baltica and Laurentia 615 million years ago to the LLSVP now positioned under the Pacific Ocean. Our results provide a stimulus for using LIPs as piercing points for plate reconstructions.
Spatiotemporal Characterization of Smectite‐to‐Illite Diagenesis in the Nankai Trough Accretionary Prism Revealed by Samples From 3 km Below Seafloor
Authors: Hüpers A. , Grathoff G. , Warr L. N. , Wemmer K. , Spinelli G. , Underwood M. B.
Published: January 2019

The up‐dip limit of seismogenesis in subduction zone forearcs depends on the lithological composition of the incoming sediment and its subsequent modification during compaction and diagenesis. Here we present results of a multimethodological approach to characterize the smectite‐to‐illite diagenesis in the accretionary prism of the Nankai Trough subduction zone offshore SW Japan. Our X‐ray diffraction analysis, scanning electron microscopy, and transmission electron microscopy clay mineralogical analysis reveal that advanced states of smectite‐to‐illlite diagenesis occur in samples recovered from down to 3 km subseafloor at Integrated Ocean Drilling Program Site C0002, which sampled the inner accretionary prism. Our temperature‐ and time‐dependent reaction kinetics models require elevated temperatures in the prism to explain the illitization, which is consistent with revised thermal models based on recent plate reconstructions. Biostratigraphic data suggest that the inner prism sediment was deposited during a period of slow or inactive subduction and buried in the accretionary prism after the Philippine Sea plate resumed subduction. Rapid burial in the past 6 Ma led to the formation of two authigenic smectite‐illite phases consistent with a broad 1–9.3 Ma age determined by K‐Ar dating. The low K+ smectite‐illite reflects the long‐term burial history, whereas the K+‐rich smectite‐illite was inherited from the younger accretion event. Our study predicts the illitization of smectite approaches completion at ~5 km below the seafloor in the hanging wall of the plate boundary and the megasplay fault zone, respectively, which coincides with the proposed seaward extent of coseismic slip in the 1944 Mw = 8.1 Tonankai earthquake along those faults.
Evaluating the Response of Summertime Surface Sulfate to Hydroclimate Variations in the Continental United States: Role of Meteorological Inputs in the GEOS‐Chem Model
Authors: Xie Yuanyu , Wang Yuxuan , Dong Wenhao , Wright Jonathon S. , Shen Lu , Zhao Zijian
Published: January 2019

Understanding the response of sulfate to climate change is crucial given tight couplings between sulfate and the hydrological cycle. As the sources and sinks of sulfate are sensitive to cloud and precipitation processes, the accuracy of model simulations depends on the accuracy of these meteorological inputs. In this study, we evaluate the GEOS‐Chem model in simulating summertime surface sulfate concentrations in the continental United States across different levels of dryness and compare the model performance based on two sets of meteorological fields: Modern Era Retrospective Analysis for Research and Applications (MERRA) and MERRA‐2. Both simulations fail to reproduce observed increases in sulfate during drought, as indicated by negative correlation slopes between surface sulfate concentrations and the standardized precipitation evapotranspiration index (SPEI). This deficiency can be largely attributed to too large a decrease in clouds and hence aqueous phase sulfate production as conditions shift from wet to dry. MERRA‐2‐driven GEOS‐Chem (M2GC) shows improvements in cloud and precipitation fields relative to the MERRA‐driven GEOS‐Chem, hence eliminating approximately half of the bias in the simulated sulfate‐SPEI slope. However, M2GC still underestimates boundary layer cloud fraction, overestimates liquid water content, and overestimates the rates of the decrease in both quantities as conditions become drier. Explicitly correcting these cloud biases in M2GC results in a 60–80% reduction of the bias in the simulated sulfate‐SPEI slope. The strong sensitivity of simulated sulfate to prescribed cloud fields suggests the need for more comprehensive assessment of cloud inputs for sulfate simulations under current and future climate change scenarios.
Structural Evolution During Cyclic Glacier Surges: 1. Structural Glaciology of Trapridge Glacier, Yukon, Canada
Authors: Hambrey Michael J. , Clarke Garry K. C.
Published: January 2019

Interpreting the relationships among the internal processes of glaciers and their mesoscale structural products has been a long‐standing challenge for glaciologists. Trapridge Glacier is a small polythermal surge‐type valley glacier that has been studied for 40 years. It offers an opportunity to investigate the structural evolution of a glacier through a series of surges and to apply novel modeling approaches to gain physical insight as to how different structures are formed. Following the glacier's most recent slow surge, the structural attributes were documented, with emphasis on their three‐dimensional geometry and sequential development: ice stratification (S0), longitudinal foliation (S1), and associated medial moraine, folding of stratification (F1), transverse foliation (S2), thrusts (S3), and recumbent folds (F3), fractures (surface crevassing and crevasse traces; S4). Efforts to represent these structures using models of glacier flow dynamics remain at an early stage but provide informative tests of model skill and of current understanding of the processes that control structure generation. Using field interpretations as a guide to the relevant processes of formation, structures on Trapridge Glacier are compared with computer‐simulated structures for the same glacier. Modeling achieved the greatest success in simulating moraine patterns, ice stratification, longitudinal foliation, and the downglacier decrease in the density of surface crevasse traces. The least successful effort was to simulate the orientation of crevasse traces.
The Modeling of the North Equatorial Countercurrent in the Community Earth System Model and its Oceanic Component
Authors: Sun Zhikuo , Liu Hailong , Lin Pengfei , Tseng Yu‐heng , Small Justin , Bryan Frank
Published: January 2019

The North Equatorial Countercurrent (NECC) simulated by a coupled ocean‐atmosphere model and its oceanic component have been investigated and compared against oceanographic observations. Coupled model simulations using the Community Earth System Model version 2 are compared against ocean‐ice simulations forced by the second phase of the Coordinated Ocean‐ice Reference Experiments (CORE) data set. The modeled circulation biases behave differently to the west of and to the east of 120°W: the CORE‐forced ocean model largely underestimates the NECC transport to the west and the coupled model underestimates it to the east. Further analysis suggests that the surface wind stress and its curl is the most important forcing term for correctly simulating the NECC in both models. West of 120°W, the NECC biases in the ocean model are attributed to the southward movement of the maximum easterly trade winds in the Northern Hemisphere and the associated wind stress curl (WSC) pattern; east of 120°W, the NECC biases in the coupled model are attributed to the weak northward cross‐equatorial winds and southwestward gap winds, which lead to a weak WSC gradient at the latitude of NECC. Further analysis confirms that the WSC biases comes mainly from the zonal wind bias, which may in turn relate to the protocol of CORE‐II of adjusting reanalysis winds toward satellite data, which include the relative wind effect.
Paleobiological Traits That Determined Scleractinian Coral Survival and Proliferation During the Late Paleocene and Early Eocene Hyperthermals
Authors: Weiss Anna M. , Martindale Rowan C.
Published: January 2019

Coral reefs are particularly sensitive to environmental disturbances, such as rapid shifts in temperature or carbonate saturation. Work on modern reefs has suggested that some corals will fare better than others in times of stress and that their life history traits might correlate with species survival. These same traits can be applied to fossil taxa to assess whether life history traits correspond with coral survival through past intervals of stress similar to future climate predictions. This study aims to identify whether ecological selection (based on physiology, behavior, habitat, etc.) plays a role in the long‐term survival of corals during the late Paleocene and early Eocene. The late Paleocene‐early Eocene interval is associated with multiple hyperthermal events that correspond to rises in atmospheric pCO2 and sea surface temperature, ocean acidification, and increases in weathering and turbidity. Coral reefs are rare during the late Paleocene and early Eocene, but despite the lack of reef habitat, corals do not experience an extinction at the generic level and there is little extinction at the species level. In fact, generic and species richness increases throughout the late Paleocene and early Eocene. We show that corals with certain traits (coloniality, carnivorous, or suspension feeding diet, hermaphroditic brooding reproduction, living in clastic settings) are more likely to survive climate change in the early Eocene. These findings have important implications for modern coral ecology and allow us to make more nuanced predictions about which taxa will have higher extinction risk in present‐day climate change.
Competing Temperature and Atmospheric Circulation Effects on Southwest Madagascan Rainfall During the Last Deglaciation
Authors: Scroxton Nick , Burns Stephen J. , McGee David , Hardt Ben , Godfrey Laurie R. , Ranivoharimanana Lovasoa , Faina Peterson
Published: January 2019

The global paleomonsoon concept predicts an antiphase response of monsoon rainfall in the Northern and Southern Hemispheres at timescales where there is asymmetric solar forcing and/or asymmetric hemispheric temperature changes. However, as different monsoon systems have different sensitivities to local, regional, and global forcing, rainfall response may vary regionally, particularly during large global climatic changes such as the last deglaciation where warming occurred in both hemispheres. Despite its role as a key Southern Hemisphere counterpart to the Arabian and Indian summer monsoons, the behavior of the summer monsoon in the Southern Hemisphere of the Indian Ocean during the last deglaciation is unknown. Therefore, we present a new high‐resolution, precisely dated, and replicated speleothem stable isotope record from Tsimanampesotse National Park in southwest Madagascar that covers the last deglaciation. We show that speleothem growth phases respond largely to movements of the Southern Hemisphere summer Hadley circulation (summer extent of the tropical rainbelt/mean Intertropical Convergence Zone location), with some contribution from sea surface temperature changes at key times, such as during the Bølling‐Allerød. In contrast, speleothem δ18Ο responds primarily to sea surface temperature, in particular the location of the deep atmospheric convection isotherm, while summer Hadley circulation changes take a secondary role. Separating the varying influences of temperature and atmospheric circulation in controlling southwest Madagascan rainfall is critical to understanding rainfall variability in both the past and the future.
A single dose of fluoxetine reduces neural limbic responses to anger in depressed adolescents
Authors: Capitão Liliana P. , Chapman Robert , Murphy Susannah E. , Harvey Christopher-James , James Anthony , Cowen Philip J. , Harmer Catherine J.
Published: January 2019

Depression in adolescence is frequently characterised by symptoms of irritability. Fluoxetine is the antidepressant with the most favourable benefit:risk ratio profile to treat adolescent depression, but the neural mechanisms underlying antidepressant drugs in the young brain are still poorly understood. Previous studies have characterised the neural effects of long-term fluoxetine treatment in depressed adolescents, but these are limited by concurrent mood changes and a lack of placebo control. There is also recent evidence suggesting that fluoxetine reduces the processing of anger in young healthy volunteers, which is consistent with its effect for the treatment of irritability in this age group, but this remains to be investigated in depressed adolescents. Here we assessed the effects of a single, first dose of 10 mg fluoxetine vs. placebo on neural response to anger cues using fMRI in a sample of adolescents with Major Depressive Disorder (MDD) who had been recently prescribed fluoxetine. As predicted, adolescents receiving fluoxetine showed reduced activity in response to angry facial expressions in the amygdala-hippocampal region relative to placebo. Activity in the dorsal anterior cingulate cortex (dACC) was also increased. No changes in symptoms were observed. These results demonstrate, for the first time in depressed adolescents, that fluoxetine has immediate neural effects on core components of the cortico-limbic circuitry prior to clinical changes in mood. The effect on anger is consistent with our previous work and could represent a key mechanism through which fluoxetine may act to alleviate irritability symptoms in adolescent depression.
Psychiatric disorders in children with 16p11.2 deletion and duplication
Authors: Niarchou Maria , Chawner Samuel J. R. A. , Doherty Joanne L. , Maillard Anne M. , Jacquemont Sébastien , Chung Wendy K. , Green-Snyder LeeAnne , Bernier Raphael A. , Goin-Kochel Robin P. , Hanson Ellen , Linden David E. J. , Linden Stefanie C. , Raymond F. Lucy , Skuse David , Hall Jeremy , Owen Michael J. , Bree Marianne B. M. van den
Published: January 2019

Deletion and duplication of 16p11.2 (BP4–BP5) have been associated with an increased risk of intellectual disability and psychiatric disorder. This is the first study to compare the frequency of a broad spectrum of psychiatric disorders in children with 16p11.2 deletion and duplication. We aimed to evaluate (1) the nature and prevalence of psychopathology associated with copy number variation (CNV) in children with 16p11.2 by comparing deletion and duplication carriers with family controls; (2) whether deletion and duplication carriers differ in frequency of psychopathology. 217 deletion carriers, 77 deletion family controls, 114 duplication carriers, and 32 duplication family controls participated in the study. Measures included standardized research diagnostic instruments. Deletion carriers had a higher frequency of any psychiatric disorder (OR = 8.9, p < 0.001), attention deficit hyperactivity disorder (ADHD) (OR = 4.0, p = 0.01), and autism spectrum disorder (ASD) (OR = 39.9, p = 0.01) than controls. Duplication carriers had a higher frequency of any psychiatric diagnosis (OR = 5.3, p = 0.01) and ADHD (OR = 7.0, p = 0.02) than controls. The prevalence of ASD in child carriers of deletions and duplications was similar (22% versus 26%). Comparison of the two CNV groups indicated a higher frequency of ADHD in children with the duplication than deletion (OR = 2.7, p = 0.04) as well as a higher frequency of overall psychiatric disorders (OR = 2.8, p = 0.02) and psychotic symptoms (OR = 4.7, p = 0.02). However, no differences between deletion and duplications carriers in the prevalence of ASD were found. Both deletion and duplication are associated with an increased risk of psychiatric disorder, supporting the importance of early recognition, diagnosis, and intervention in these groups.
Can targeted metabolomics predict depression recovery? Results from the CO-MED trial
Authors: Czysz Andrew H. , South Charles , Gadad Bharathi S. , Arning Erland , Soyombo Abigail , Bottiglieri Teodoro , Trivedi Madhukar H.
Published: January 2019

Metabolomics is a developing and promising tool for exploring molecular pathways underlying symptoms of depression and predicting depression recovery. The AbsoluteIDQ™ p180 kit was used to investigate whether plasma metabolites (sphingomyelins, lysophosphatidylcholines, phosphatidylcholines, and acylcarnitines) from a subset of participants in the Combining Medications to Enhance Depression Outcomes (CO-MED) trial could act as predictors or biologic correlates of depression recovery. Participants in this trial were assigned to one of three pharmacological treatment arms: escitalopram monotherapy, bupropion-escitalopram combination, or venlafaxine-mirtazapine combination. Plasma was collected at baseline in 159 participants and again 12 weeks later at study exit in 83 of these participants. Metabolite concentrations were measured and combined with clinical and sociodemographic variables using the hierarchical lasso to simultaneously model whether specific metabolites are particularly informative of depressive recovery. Increased baseline concentrations of phosphatidylcholine C38:1 showed poorer outcome based on change in the Quick Inventory of Depressive Symptoms (QIDS). In contrast, an increased ratio of hydroxylated sphingomyelins relative to non-hydroxylated sphingomyelins at baseline and a change from baseline to exit suggested a better reduction of symptoms as measured by QIDS score. All metabolite-based models performed superior to models only using clinical and sociodemographic variables, suggesting that metabolomics may be a valuable tool for predicting antidepressant outcomes.
Cell type-specific gene expression patterns associated with posttraumatic stress disorder in World Trade Center responders
Authors: Kuan Pei-Fen , Yang Xiaohua , Clouston Sean , Ren Xu , Kotov Roman , Waszczuk Monika , Singh Prashant K. , Glenn Sean T. , Gomez Eduardo Cortes , Wang Jianmin , Bromet Evelyn , Luft Benjamin J.
Published: January 2019

Posttraumatic stress disorder (PTSD), a chronic disorder resulting from severe trauma, has been linked to immunologic dysregulation. Gene expression profiling has emerged as a promising tool for understanding the pathophysiology of PTSD. However, to date, all but one gene expression study was based on whole blood or unsorted peripheral blood mononuclear cell (PBMC), a complex tissue consisting of several populations of cells. The objective of this study was to utilize RNA sequencing to simultaneously profile the gene expression of four immune cell subpopulations (CD4T, CD8T, B cells, and monocytes) in 39 World Trade Center responders (20 with and 19 without PTSD) to determine which immune subsets play a role in the transcriptomic changes found in whole blood. Transcriptome-wide analyses identified cell-specific and shared differentially expressed genes across the four cell types.FKBP5 and PI4KAP1genes were consistently upregulated across all cell types. Notably,RESTandSEPT4, genes linked to neurodegeneration, were among the top differentially expressed genes in monocytes. Pathway analyses identified differentially expressed gene sets involved in mast cell activation and regulation in CD4T, interferon-beta production in CD8T, and neutrophil-related gene sets in monocytes. These findings suggest that gene expression indicative of immune dysregulation is common across several immune cell populations in PTSD. Furthermore, given notable differences between cell subpopulations in gene expression associated with PTSD, the results also indicate that it may be valuable to analyze different cell populations separately. Monocytes may constitute a key cell type to target in research on gene expression profile of PTSD.