bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phenology of brown marmorated stink bug described using female reproductive development
Authors: Nielsen Anne L. , Fleischer Shelby , Hamilton George C. , Hancock Tori , Krawczyk Gregorz , Lee Jana C. , Ogburn Emily , Pote John M. , Raudenbush Amy , Rucker Ann , Saunders Michael , Skillman Victoria P. , Sullivan Jeanne , Timer Jody , Walgenbach James , Wiman Nik G. , Leskey Tracy C. 
Published: July 2017

AbstractTemperature‐based degree‐day models describe insect seasonality and to predict key phenological events. We expand on the use of a temperature‐based process defining timing of reproduction through the incorporation of female reproductive physiology for the invasive pentatomid species Halyomorpha halys, the brown marmorated stink bug. A five‐stage ranking system based on ovary development was able to distinguish between the reproductive statuses of field‐collected females. Application of this ranking method described aspects of H. halys’ seasonality, overwintering biology, and phenology across geographic locations. Female H. halys were collected in the US from NJ, WV, NC, OR, and two sites in PA in 2006–2008 (Allentown, PA only) and 2012–2014. Results identify that H. halys enters reproductive diapause in temperate locations in the fall and that a delay occurs in developmental maturity after diapause termination in the spring. Modification of the Snyder method to identify biofix determined 12.7‐hr photoperiod as the best fit to define initiation of reproduction in the spring. Applying the biofix, we demonstrated significant differences between locations for the rate at which the overwintering generation transition into reproductive status and the factors contributing to this difference require further study. For example, after including abiotic variables influencing development such as temperature and photoperiod (critical diapause cue), reproduction occurred earlier in OR and for an extended period in NJ. This data describe a method to investigate insect seasonality by incorporating physiological development across multiple regions that can clarify phenology for insects with overlapping generations.
Dynamic‐landscape metapopulation models predict complex response of wildlife populations to climate and landscape change
Authors: Bonnot Thomas W. , Thompson Frank R. , Millspaugh Joshua J. 
Published: July 2017

AbstractThe increasing need to predict how climate change will impact wildlife species has exposed limitations in how well current approaches model important biological processes at scales at which those processes interact with climate. We used a comprehensive approach that combined recent advances in landscape and population modeling into dynamic‐landscape metapopulation models (DLMPs) to predict responses of two declining songbird species in the central hardwoods region of the United States to changes in forest conditions from climate change. We modeled wood thrush (Hylocichla mustelina) and prairie warbler (Setophaga discolor) population dynamics and distribution throughout the central hardwoods based on estimates of habitat and demographics derived from landscapes projected through 2100 under a current climate scenario and two future climate change scenarios. Climate change, natural forest succession, and forest management interacted to change forest structure and composition over time, variably affecting the distribution and amount of habitat of the two birds. The resulting changes in habitat and metapopulation processes produced contrasting predictions for future populations. Wood thrush, a forest generalist, showed little response to climate‐driven forest change but declined by >25% due to reduced productivity associated with existing forest fragmentation across much of the region. Prairie warblers initially declined due to loss of habitat resulting from current land management; however, after 2050 cumulative effects of climate change on forest structure created enough habitat in source landscapes to restore population growth. These species‐specific responses were the result of interactions among climate, landscape, and population processes. We suggest relationships between climate change, succession, and land management are species specific and important determinants of future wildlife populations and that DLMPs are a comprehensive approach that can capture such processes to generate more realistic predictions of populations under climate change.
Cophylogenetic signal is detectable in pollination interactions across ecological scales
Authors: Hutchinson Matthew C. , Cagua Edgar Fernando , Stouffer Daniel B. 
Published: July 2017

AbstractThat evolutionary history can influence the way that species interact is a basic tenet of evolutionary ecology. However, when the role of evolution in determining ecological interactions is investigated, focus typically centers on just one side of the interaction. A cophylogenetic signal, the congruence of evolutionary history across both sides of an ecological interaction, extends these previous explorations and provides a more complete picture of how evolutionary patterns influence the way species interact. To date, cophylogenetic signal has most typically been studied in interactions that occur between fine taxonomic clades that show high intimacy. In this study, we took an alternative approach and made an exhaustive assessment of cophylogeny in pollination interactions. To do so, we assessed the strength of cophylogenetic signal at four distinct scales of pollination interaction: (1) across plant–pollinator associations globally, (2) in local pollination communities, (3) within the modular structure of those communities, and (4) in individual modules. We did so using a globally distributed dataset comprised of 54 pollination networks, over 4000 species, and over 12,000 interactions. Within these data, we detected cophylogenetic signal at all four scales. Cophylogenetic signal was found at the level of plant–pollinator interactions on a global scale and in the majority of pollination communities. At the scale defined by the modular structure within those communities, however, we observed a much weaker cophylogenetic signal. Cophylogenetic signal was detectable in a significant proportion of individual modules and most typically when within‐module phylogenetic diversity was low. In sum, the detection of cophylogenetic signal in pollination interactions across scales provides a new dimension to the story of how past evolution shapes extant pollinator–angiosperm interactions.
Density dependence governs when population responses to multiple stressors are magnified or mitigated
Authors: Hodgson Emma E. , Essington Timothy E. , Halpern Benjamin S. 
Published: July 2017

AbstractPopulation endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population‐level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.
Caught Between Personal and Collective Values: Biodiversity conservation in European decision‐making
Authors: Primmer Eeva , Termansen Mette , Bredin Yennie , Blicharska Malgorzata , García‐Llorente Marina , Berry Pam , Jääskeläinen Tiina , Bela Györgyi , Fabok Veronika , Geamana Nicoleta , Harrison Paula A. , Haslett John R. , Cosor Georgia Lavinia , Andersen Anne H.K. 
Published: July 2017

AbstractIndividual decision‐makers at different governance levels operate in social contexts, which means that they sometimes need to compromise their personal values. Yet, this dissonance is rarely the direct target of empirical analyses of environmental decision‐making. We undertake a Q‐analysis of decision‐makers' personal perspectives and the perspectives they perceive to dominate in their decision‐making contexts. Our empirical analysis addresses biodiversity conservation, which has traditionally been justified with intrinsic value‐ and science‐based arguments. The arguments have recently been broadened with the concept of ecosystem services, highlighting human benefits and values. This evolving context is interesting because of the new rise of anthropocentric values, which can lead to decision‐makers experiencing dissonance. Our analysis of interviews with 43 biodiversity conservation decision‐makers from nine European countries reveals four personally held perspectives that highlight different, yet partly overlapping, values – intrinsic, human benefit, conservation and connection – as well as three perspectives perceived to dominate in decision‐making – utilitarian, insurance and knowledge values. The comparison of personally held and perceived dominant perspectives points to one major conflict: those decision‐makers who personally associate with intrinsic values and perceive utilitarian values to dominate in decision‐making experience dissonance. By contrast, personally held human benefit values are accommodated well in decision‐making contexts and decision‐makers who perceive insurance values to dominate experience the least conflict with personally held values. These findings demonstrate the potential of arguments stressing long‐term benefits for easing tension and conflicts in conservation decision‐making, and the usefulness of empirically testing of the coincidence of individual and social values. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment
Cost‐effectiveness of left ventricular assist devices for patients with end‐stage heart failure: analysis of the French hospital discharge database
Authors: Tadmouri Abir , Blomkvist Josefin , Landais Cécile , Seymour Jerome , Azmoun Alexandre 
Published: July 2017

AbstractAimsAlthough left ventricular assist devices (LVADs) are currently approved for coverage and reimbursement in France, no French cost‐effectiveness (CE) data are available to support this decision. This study aimed at estimating the CE of LVAD compared with medical management in the French health system.Methods and resultsIndividual patient data from the ‘French hospital discharge database’ (Medicalization of information systems program) were analysed using Kaplan–Meier method. Outcomes were time to death, time to heart transplantation (HTx), and time to death after HTx. A micro‐costing method was used to calculate the monthly costs extracted from the Program for the Medicalization of Information Systems. A multistate Markov monthly cycle model was developed to assess CE. The analysis over a lifetime horizon was performed from the perspective of the French healthcare payer; discount rates were 4%. Probabilistic and deterministic sensitivity analyses were performed. Outcomes were quality‐adjusted life years (QALYs) and incremental CE ratio (ICER). Mean QALY for an LVAD patient was 1.5 at a lifetime cost of €190 739, delivering a probabilistic ICER of €125 580/QALY [95% confidence interval: 105 587 to 150 314]. The sensitivity analysis showed that the ICER was mainly sensitive to two factors: (i) the high acquisition cost of the device and (ii) the device performance in terms of patient survival.ConclusionsOur economic evaluation showed that the use of LVAD in patients with end‐stage heart failure yields greater benefit in terms of survival than medical management at an extra lifetime cost exceeding the €100 000/QALY. Technological advances and device costs reduction shall hence lead to an improvement in overall CE.
In vivo placental MRI shape and textural features predict fetal growth restriction and postnatal outcome
Authors: Dahdouh Sonia , Andescavage Nickie , Yewale Sayali , Yarish Alexa , Lanham Diane , Bulas Dorothy , du Plessis Adre J , Limperopoulos Catherine 
Published: July 2017

PurposeTo investigate the ability of three‐dimensional (3D) MRI placental shape and textural features to predict fetal growth restriction (FGR) and birth weight (BW) for both healthy and FGR fetuses.Materials and MethodsWe recruited two groups of pregnant volunteers between 18 and 39 weeks of gestation; 46 healthy subjects and 34 FGR. Both groups underwent fetal MR imaging on a 1.5 Tesla GE scanner using an eight‐channel receiver coil. We acquired T2‐weighted images on either the coronal or the axial plane to obtain MR volumes with a slice thickness of either 4 or 8 mm covering the full placenta. Placental shape features (volume, thickness, elongation) were combined with textural features; first order textural features (mean, variance, kurtosis, and skewness of placental gray levels), as well as, textural features computed on the gray level co‐occurrence and run‐length matrices characterizing placental homogeneity, symmetry, and coarseness. The features were used in two machine learning frameworks to predict FGR and BW.ResultsThe proposed machine‐learning based method using shape and textural features identified FGR pregnancies with 86% accuracy, 77% precision and 86% recall. BW estimations were 0.3 ± 13.4% (mean percentage error ± standard error) for healthy fetuses and ‐2.6 ± 15.9% for FGR.ConclusionThe proposed FGR identification and BW estimation methods using in utero placental shape and textural features computed on 3D MR images demonstrated high accuracy in our healthy and high‐risk cohorts. Future studies to assess the evolution of each feature with regard to placental development are currently underway.Level of Evidence: 2Technical Efficacy: Stage 2J. Magn. Reson. Imaging 2018;47:449–458.
Effects of eddy currents on selective spectral editing experiments at 3T
Authors: Oeltzschner Georg , Snoussi Karim , Puts Nicolaas A. , Mikkelsen Mark , Harris Ashley D. , Pradhan Subechhya , Tsapkini Kyrana , Schär Michael , Barker Peter B. , Edden Richard A.E. 
Published: July 2017

PurposeTo investigate frequency‐offset effects in edited magnetic resonance spectroscopy (MRS) experiments arising from B0 eddy currents.Materials and MethodsMacromolecule‐suppressed (MM‐suppressed) γ‐aminobutyric acid (GABA)‐edited experiments were performed at 3T. Saturation‐offset series of MEGA‐PRESS experiments were performed in phantoms, in order to investigate different aspects of the relationship between the effective editing frequencies and eddy currents associated with gradient pulses in the sequence. Difference integrals were quantified for each series, and the offset dependence of the integrals was analyzed to quantify the difference in frequency (Δf) between the actual vs. nominal expected saturation frequency.ResultsSaturation‐offset N‐acetyl‐aspartate‐phantom experiments show that Δf varied with voxel orientation, ranging from 10.4 Hz (unrotated) to 6.4 Hz (45° rotation about the caudal–cranial axis) and 0.4 Hz (45° rotation about left–right axis), indicating that gradient‐related B0 eddy currents vary with crusher‐gradient orientation. Fixing the crusher‐gradient coordinate‐frame substantially reduced the orientation dependence of Δf (to ∼2 Hz). Water‐suppression crusher gradients also introduced a frequency offset, with Δf = 0.6 Hz (“excitation” water suppression), compared to 10.2 Hz (no water suppression). In vivo spectra showed a negative edited “GABA” signal, suggesting Δf on the order of 10 Hz; with fixed crusher‐gradient coordinate‐frame, the expected positive edited “GABA” signal was observed.ConclusionEddy currents associated with pulsed field gradients may have a considerable impact on highly frequency‐selective spectral‐editing experiments, such as MM‐suppressed GABA editing at 3T. Careful selection of crusher gradient orientation may ameliorate these effects.Level of Evidence: 2Technical Efficacy: Stage 1J. Magn. Reson. Imaging 2018;47:673–681.
Polymorphisms of miR‐146a, miR‐149, miR‐196a2, and miR‐499 are associated with osteoporotic vertebral compression fractures in Korean postmenopausal women
Authors: Ahn Tae‐Keun , Kim Jung‐Oh , Kumar Hemant , Choi Hyemi , Jo Min‐Jae , Sohn Seil , Ropper Alexander E. , Kim Nam‐Keun , Han In‐Bo 
Published: July 2017

ABSTRACTGenetic factors have been shown to be a small but significant predictor for osteoporosis and osteoporotic fracture risk. We performed a case–control association study to determine the association between miR‐146a, miR‐149, miR‐196a2, and miR‐499 polymorphisms and osteoporotic vertebral compression fracture (OVCF) susceptibility. In total, 286 unrelated postmenopausal Korean women (57 with OVCFs, 55 with non‐OVCFs, and 174 healthy controls) were recruited. All subjects underwent dual energy X‐ray absorptiometry to determine BMD at the lumbar spine and femoral neck. We focused on four single nucleotide polymorphisms (SNPs) of pre‐miRNA sequences including miR‐146aC>G (rs2910164), miR‐149T>C (rs2292832), miR‐196a2T>C (rs11614913), and miR‐499A>G (rs3746444). Genotype frequencies of these four SNPs were determined using polymerase chain reaction‐restriction fragment length polymorphism analysis. The TT genotype of miR‐149aT>C was less frequent in subjects with OVCFs, suggesting a protective effect against OVCF risk (Odds ratio [OR], 0.435; 95% confidence interval [CI], 0.22–0.85, p = 0.014), whereas the miR‐146aCG/ miR‐196a2TC combined genotype was more frequent in OVCF patients (OR, 5.163; 95%CI, 1.057–25.21, p = 0.043), suggesting an increase in OVCF risk. Additionally, combinations of miR‐146a, ‐149, ‐196a2, and ‐449 showed a significant association with increased prevalence of OVCFs in postmenopausal women. In particular, the miR‐146aG/‐149T/‐196a2C/‐449G allele combination was significantly associated with an increased risk of OVCF (OR, 35.01; 95% CI, 1.919–638.6, p = 0.001). Our findings suggest that the TT genotype of miR‐149aT>C may contribute to decreased susceptibility to OVCF in Korean postmenopausal women. Conversely, the miR‐146aCG/ miR‐196a2TC combined genotype and the miR‐146aG/‐149T/‐196a2C/‐449G allele combination may contribute to increased susceptibility to OVCF. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:244–253, 2018.
Metabolomic analysis reveals the composition differences in 13 Chinese tea cultivars of different manufacturing suitabilities
Authors: Li Pengliang , Dai Weidong , Lu Meiling , Xie Dongchao , Tan Junfeng , Yang Chen , Zhu Yin , Lv Haipeng , Peng Qunhua , Zhang Yue , Guo Li , Ni Dejiang , Lin Zhi 
Published: July 2017

AbstractBACKGROUNDGreen tea and black tea are manufactured using appropriate tea cultivars in China. However, the metabolite differences relating to the manufacturing suitability of tea cultivars are unclear. In the present study, we performed a non‐targeted metabolomic analysis on 13 Chinese tea cultivars using ultra‐high performance liquid chromatography coupled with quadrupole‐time‐of‐flight mass spectrometry to investigate comprehensively the metabolite differences between cultivars suitable for manufacturing green tea (GT cultivars) and cultivars suitable for manufacturing both green tea and black tea (G&BT cultivars).RESULTSMultivariate statistical analysis and cluster analysis divided the 13 cultivars into two groups, namely GT cultivars and G&BT cultivars, which correlated with their manufacturing suitability. The GT cultivars contained higher levels of flavonoid glycosides, whereas the G&BT cultivars contained higher levels of catechins, dimeric catechins, phenolic acids and alkaloids.CONCLUSIONMetabolic pathway analysis revealed that the flavonoid pathway inclined toward the synthesis of flavonoid glycosides in GT cultivars, whereas it inclined toward the synthesis of catechins and phenolic acids in G&BT cultivars. The results of the present study will be helpful for discriminating the manufacturing suitability of tea cultivars and investigating their breeding. © 2017 Society of Chemical Industry
An enhanced bubble size sensor for long‐term ebullition studies
Authors: Delwiche Kyle , Hemond Harold F. 
Published: July 2017

AbstractMethane ebullition from freshwater sediments is a significant source of greenhouse gas to the atmosphere. Methane bubble size determines the fraction of methane that dissolves into the water column instead of entering the atmosphere, but current methods to measure bubble sizes in situ are limited. Previously, we reported the design for a novel optical bubble size sensor capable of measuring methane bubble sizes in situ. Here, we report sensor enhancements to allow for continuous long‐term sensor deployment, uninterrupted data collection under high ebullition flux, and improved bubble volume measurement accuracy. The enhanced design includes a data and power cable running from the sensor to a custom data buoy housing batteries and an SD memory card. Batteries and SD cards are replaced every 2–4 weeks through the data buoy, allowing for continuous, undisturbed sensor deployment. In addition, sensor parameters have been tuned to reduce error from particle intrusion and fluctuations in raw signals that were observed during transit of some bubbles through the sensor. Field data show that on average the sensor measures cumulative bubble volumes equaling approximately 86% of collected gas volumes. We discuss potential mechanisms of remaining error, some of which may be due to zooplankton intrusion, and suggest directions for future sensor enhancements.
FDG PET, dopamine transporter SPECT, and olfaction: Combining biomarkers in REM sleep behavior disorder
Authors: Meles Sanne K. , Vadasz David , Renken Remco J. , Sittig‐Wiegand Elisabeth , Mayer Geert , Depboylu Candan , Reetz Kathrin , Overeem Sebastiaan , Pijpers Angelique , Reesink Fransje E. , van Laar Teus , Heinen Lisette , Teune Laura K. , Höffken Helmut , Luster Marcus , Kesper Karl , Adriaanse Sofie M. , Booij Jan , Leenders Klaus L. , Oertel Wolfgang H. 
Published: July 2017

ABSTRACTBackgroundIdiopathic REM sleep behavior disorder is a prodromal stage of Parkinson's disease and dementia with Lewy bodies. Hyposmia, reduced dopamine transporter binding, and expression of the brain metabolic PD‐related pattern were each associated with increased risk of conversion to PD. The objective of this study was to study the relationship between the PD‐related pattern, dopamine transporter binding, and olfaction in idiopathic REM sleep behavior disorder.MethodsIn this cross‐sectional study, 21 idiopathic REM sleep behavior disorder subjects underwent 18F‐fluorodeoxyglucose PET, dopamine transporter imaging, and olfactory testing. For reference, we included 18F‐fluorodeoxyglucose PET data of 19 controls, 20 PD patients, and 22 patients with dementia with Lewy bodies. PD‐related pattern expression z‐scores were computed from all PET scans.ResultsPD‐related pattern expression was higher in idiopathic REM sleep behavior disorder subjects compared with controls (P = 0.048), but lower compared with PD (P = 0.001) and dementia with Lewy bodies (P < 0.0001). PD‐related pattern expression was higher in idiopathic REM sleep behavior disorder subjects with hyposmia and in subjects with an abnormal dopamine transporter scan (P < 0.05, uncorrected).ConclusionPD‐related pattern expression, dopamine transporter binding, and olfaction may provide complementary information for predicting phenoconversion. © 2017 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.