bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic signatures of honey bee association in an acetic acid symbiont
Authors: Smith Eric A. , Newton Irene L. G. 
Published: July 2018

AbstractHoney bee queens are central to the success and productivity of their colonies; queens are the only reproductive members of the colony, and therefore queen longevity and fecundity can directly impact overall colony health. Recent declines in the health of the honey bee have startled researchers and lay people alike as honey bees are agriculture’s most important pollinator. Honey bees are important pollinators of many major crops and add billions of dollars annually to the US economy through their services. One factor that may influence queen and colony health is the microbial community. Although honey bee worker guts have a characteristic community of bee-specific microbes, the honey bee queen digestive tracts are colonized by a few bacteria, notably an acetic acid bacterium not seen in worker guts: Bombella apis. This bacterium is related to flower-associated microbes such as Saccharibacter floricola and other species in the genus Saccharibacter, and initial phylogenetic analyses placed it as sister to these environmental bacteria. We used comparative genomics of multiple honey bee-associated strains and the nectar-associated Saccharibacter to identify genomic changes associated with the ecological transition to bee association. We identified several genomic differences in the honey bee-associated strains, including a complete CRISPR/Cas system. Many of the changes we note here are predicted to confer upon them the ability to survive in royal jelly and defend themselves against mobile elements, including phages. Our results are a first step towards identifying potential benefits provided by the honey bee queen microbiota to the colony’s matriarch.
Selective Permeability of Carboxysome Shell Pores to Anionic Molecules
Authors: Mahinthichaichan Paween , Morris Dylan M. , Wang Yi , Jensen Grant J. , Tajkhorshid Emad 
Published: July 2018

AbstractCarboxysomes are closed polyhedral cellular microcompartments that increase the efficiency of carbon fixation in autotrophic bacteria. Carboxysome shells consist of small proteins that form hexameric units with semi-permeable central pores containing binding sites for anions. This feature is thought to selectively allow access to RuBisCO enzymes inside the carboxysome by(the dominant form of CO2in the aqueous solution at pH 7.4) but not O2, which leads to a non-productive reaction. To test this hypothesis, here we use molecular dynamics simulations to characterize the energetics and permeability of CO2, O2, andthrough the central pores of two different shell proteins, namely, CsoS1A of α–carboxysome and CcmK4 of β-carboxysome shells. We find that the central pores are in fact selectively permeable to anions such as, as predicted by the model.
Heterogeneous effects of rural-urban migration on agricultural productivity
Authors: Shi Xinjie 
Published: July 2018

Purpose
The purpose of this paper is to examine the impacts of rural–urban migration on agricultural (labor) productivity in China.

Design/methodology/approach
This paper closely follows the framework of Rozelle et al. (1999), Taylor et al. (2003) and Atamanov and Van den Berg (2012)—new economics of labor migration—to demonstrate the heterogeneous effects of migration on agricultural productivity, using simultaneous equations extended by an interaction term of off-farm income and household wealth.

Findings
The results empirically verify two key theoretical predictions: the loss of labor available for agricultural activities decreases rice yield per worker per day, and the off-farm income that may relax liquidity constraints has a positive offsetting effect, which becomes weaker with increasing household wealth. The final calculation based on these two contradictory influences indicates that the lost-labor effect dominates across all levels of household wealth, resulting in a negative net impact of rural–urban migration on agricultural productivity. The key results are shown to hold for land productivity as well.

Originality/value
To the best of the author’s knowledge, it is the first paper to examine the impacts of rural–urban migration on labor productivity and the heterogeneity across households with different levels of wealth. A major policy issue facing national leaders is whether the massive and ongoing outflow of labor will be a threat to China’s rural development and its food security in the future. This paper provides insightful ideas in a different way.
Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm
Authors: Behzadafshar Katayoun , Mohebbi Fahimeh , Soltani Tehrani Mehran , Hasanipanah Mahdi , Tabrizi Omid 
Published: July 2018

Purpose
The purpose of this paper is to propose three imperialist competitive algorithm (ICA)-based models for predicting the blast-induced ground vibrations in Shur River dam region, Iran.

Design/methodology/approach
For this aim, 76 data sets were used to establish the ICA-linear, ICA-power and ICA-quadratic models. For comparison aims, artificial neural network and empirical models were also developed. Burden to spacing ratio, distance between shot points and installed seismograph, stemming, powder factor and max charge per delay were used as the models’ input, and the peak particle velocity (PPV) parameter was used as the models’ output.

Findings
After modeling, the various statistical evaluation criteria such as coefficient of determination (R2) were applied to choose the most precise model in predicting the PPV. The results indicate the ICA-based models proposed in the present study were more acceptable and reliable than the artificial neural network and empirical models. Moreover, ICA linear model with the R2 of 0.939 was the most precise model for predicting the PPV in the present study.

Originality/value
In the present paper, the authors have proposed three novel prediction methods based on ICA to predict the PPV. In the next step, we compared the performance of the proposed ICA-based models with the artificial neural network and empirical models. The results indicated that the ICA-based models proposed in the present paper were superior in terms of high accuracy and have the capacity to generalize.
On linear wine score aggregators and the preservation of group preferences
Authors: Kwong Lester M.K. , Sun Ling 
Published: July 2018

Purpose
This paper aims to identify the potential conflicts that arise between the actual and the revealed preference of a panel of wine judges when the panel’s evaluation is derived by a linear aggregation of individual scores.

Design/methodology/approach
A standard axiomatic social choice theoretical model is used to derive and examine the findings.

Findings
The findings show that even with the application of a simple majority rule over the pairwise ranking of wines, preferences may be misrepresented by the ordinal ranking of the wine score aggregation.

Originality/value
A number of wine competitions and reviews, to date, use some form of linear aggregation to represent group preferences. Furthermore, tests surrounding wine judge performance are largely dependent on some underlying true measures usually derived from a linear aggregation. The results imply that care should be taken in these regards.
Core tensions in luxury wine marketing: the case of Burgundian wineries
Authors: Thach Liz , Charters Steve , Cogan-Marie Laurence 
Published: July 2018

Purpose
The purpose of this research study is to identify differentiation factors Burgundian wineries use to distinguish their brand, and to determine whether these methods align or conflict with luxury marketing differentiation attributes.

Design/methodology/approach
A qualitative methodology of 23 in-depth interviews with various sized wineries, as well as Burgundy market experts, was used. In addition, document analysis of websites and marketing materials was carried out along with a comprehensive review of the luxury marketing literature.

Findings
Results show that Burgundian wineries have adopted some, but not all, of the luxury marketing differentiation attributes. Furthermore, there are a series of core tensions in the industry, including disagreement on using luxury marketing strategies. These findings contribute to the theory base in luxury wine marketing by illustrating how general luxury marketing attributes are used for wine brand differentiation.

Originality/value
This research is the first of its kind to investigate luxury marketing differentiation practices of Burgundy wineries. The results are relevant for new wineries in Burgundy, as well as those in different regions of the world who desire to emulate, and perhaps come close to achieving, some of the luxury price points that certain Burgundy wine producers achieve. The information is also useful to assist related industries, such as food and spirits, which struggle in implementing luxury marketing strategies.
Solder joint inspection using eigensolder features
Authors: Wu Hao , Xu Xiangrong 
Published: July 2018

PurposeThe authors propose a solder joint recognition method based on eigenspace technology.Design/methodology/approachThe original solder joint image is transformed into a small set of feature subspace called “eigensolder”, which is the eigenvector of the training set and can represent a solder joint well. Then, the eigensolder feature is extracted by projecting the new solder joint image into the subspace, and the Euclidean distance measure is used to classify the solder joint.FindingsThe experimental results show that the proposed method is superior to the traditional classification method in solder joint recognition, and it can achieve 96.43 per cent recognition rate using only 15 eigenvalue images. It is suitable for the classification with small samples.Originality/valueTraditional classification method like neural network and statistical method cost long time. Here, Eigensolder method is used to extract feature. Eigensolder method is more efficient, as it uses the principal component analysis method to reduce the feature dimension of input image and only measure the distance to classify.
An automated cross‐validation method to assess seismic time‐to‐depth conversion accuracy: a case study on the Cooper and Eromanga basins, Australia
Authors: Kulikowski David , Hochwald Catherine , Amrouch Khalid 
Published: July 2018

ABSTRACTSelecting a seismic time‐to‐depth conversion method can be a subjective choice that is made by geophysicists, and is particularly difficult if the accuracy of these methods is unknown. This study presents an automated statistical approach for assessing seismic time‐to‐depth conversion accuracy by integrating the cross‐validation method with four commonly used seismic time‐to‐depth conversion methods. To showcase this automated approach, we use a regional dataset from the Cooper and Eromanga basins, Australia, consisting of 13 three‐dimensional (3D) seismic surveys, 73 two‐way‐time surface grids and 729 wells. Approximately 10,000 error values (predicted depth vs. measured well depth) and associated variables were calculated. The average velocity method was the most accurate overall (7.6 m mean error); however, the most accurate method and the expected error changed by several metres depending on the combination and value of the most significant variables. Cluster analysis tested the significance of the associated variables to find that the seismic survey location (potentially related to local geology (i.e. sedimentology, structural geology, cementation, pore pressure, etc.), processing workflow, or seismic vintage), formation (potentially associated with reduced signal‐to‐noise with increasing depth or the changes in lithology), distance to the nearest well control, and the spatial location of the predicted well relative to the existing well data envelope had the largest impact on accuracy. Importantly, the effect of these significant variables on accuracy were found to be more important than choosing between the four methods, highlighting the importance of better understanding seismic time‐to‐depth conversions, which can be achieved by applying this automated cross‐validation method.
Visit, consume and quit: Patch quality affects the three stages of foraging
Authors: Mella Valentina S. A. , Possell Malcolm , Troxell‐Smith Sandra M. , McArthur Clare 
Published: July 2018

Abstract

Foraging is a three‐stage process during which animals visit patches, consume food and quit. Foraging theory exploring relative patch quality has mostly focused on patch use and quitting decisions, ignoring the first crucial step for any forager: finding food. Yet, the decision to visit a patch is just as important as the decision to quit, as quitting theories can only be used if animals visit patches in the first place. Therefore, to better understand the foraging process and predict its outcomes, it is necessary to explore its three stages together.

We used the common brushtail possum (Trichosurus vulpecula) as a model to investigate foraging decisions in response to food varying in quality. In particular, we tested whether patch nutritional quality affected the following: (1) patch visits; (2) behaviours at the patch during a foraging visit; and (3) patch quitting decisions (quantified using giving up density—GUD). Free‐ranging possums were presented with diets varying in nitrogen content and concomitantly volatile organic compound (VOC) composition at feeding stations in the wild.

We found that possums were able to distinguish between different quality foods from afar, despite the location of the diets changed daily. Possums used VOC (i.e. odour cues) emitted by the diets to find and select patches from a distance. High‐quality diets with higher protein and lower fibre were visited more often and for longer. Possums spent more time foraging on diets high in nutritional content, resulting in lower GUDs.

Our study provides important quantitative evidence that foraging efficiency plays out during all the three stages of the foraging process (i.e. visit, consume and quit), and demonstrates the significance of considering all these stages together in future studies and foraging models. Sensory cues such as food odours play a critical role in helping foragers, including mammalian herbivores, find high‐quality food. This allows foragers to make quick, accurate and important decisions about food patches well before patch quitting decisions come into play.
Increased salt sensitivity in offspring of pregnancies complicated by experimental preeclampsia
Authors: Yeung Kristen R. , Sunderland Neroli , Lind Joanne M. , Heffernan Scott , Pears Suzanne , Xu Bei , Hennessy Annemarie , Makris Angela 
Published: July 2018

SummaryPreeclampsia is a hypertensive disorder of pregnancy known to increase the risk of cardiovascular disease in mothers and offspring. Offspring exposed to a suboptimal intrauterine environment may experience altered fetal programming and subsequent long‐term cardiovascular changes. This study investigated changes in the vascular response in offspring from experimental preeclampsia (EPE) induced by uterine artery ligation, in the absence of fetal growth restriction, compared to normal baboon pregnancies (controls), following a high salt diet challenge. After 1 week of standard diet (containing <1% salt), animals were fed a high salt diet (6%) for 2 weeks. Systolic and diastolic blood pressure (SBP, DBP), aldosterone, renin and creatinine clearance were evaluated in EPE (n = 6, 50% male) and control (n = 6, 50% male) offspring. A repeated measures analysis was performed, and P < 0.05 was considered significant. At baseline, there were no differences between the groups in any parameter (EPE, mean age and weight 3.2 ± 1.2 years, 6.8 ± 1.0 kg, respectively; Control, 2.9 ± 0.8 years, 7.1 ± 1.5 kg). After salt loading the EPE group had significantly higher SBP (92 ± 5 mm Hg) compared to the control group (83 ± 4 mm Hg, P = 0.03). Aldosterone concentration was higher in the EPE group despite the same salt excretion and no difference in renal function. Salt sensitivity may differ in offspring from hypertensive pregnancies due to fetal programming. This could have long‐term consequences for cardiovascular health of EPE offspring and further research is required to determine the exact pathological mechanisms.
Mechanical complications of central venous catheter insertions: A retrospective multicenter study of incidence and risks
Authors: Björkander Malin , Bentzer Peter , Schött Ulf , Broman Marcus E. , Kander Thomas 
Published: July 2018

BackgroundIncidence and risk factors for complications after insertion of central venous catheters have previously been reported for smaller cohorts. The aim of this observational multicenter study was to study risk factors for mechanical complications in a large, recently collected cohort of patients.MethodsRecords of central venous catheter insertions from 8 hospitals in southern Sweden from 2013 to 2016 were collected from the regional chart system. Data on blood coagulation tests, use of ultrasonography, central venous catheter location, bore size, number of needle passes, arterial puncture, the chronological order of the central venous catheter insertion, and mechanical complications were extracted. Only one insertion/patient was included using worst‐case selection criteria. Predefined primary outcome was mechanical complications defined as bleeding, pneumothorax, nerve injury, or malignant arrhythmia. Severe mechanical complications were defined as bleeding requiring intervention or transfusion, pneumothorax, persistent nerve injury, or non‐self‐limiting arrhythmias.ResultsWe included 10 949 insertions and identified 118 (1.1%) incidents of mechanical complication, of which 85 (0.8%) were bleedings, 21 (0.2%) were pneumothoraces, 7 (0.06%) were transient nerve injuries, and 5 (0.05%) were self‐limiting arrhythmias. Severe mechanical complications occurred in 23 (0.2%) cases.ConclusionsIn this retrospective, multicenter observational study on 10 949 central venous catheter insertions, mechanical complications were rare. Preprocedural coagulopathy, number of needle passes, and arterial puncture were associated with grade 2‐4 bleeding. Subclavian vein insertions, arterial puncture, and chronological order of the central venous catheter insertion were associated with pneumothorax.
Refining the psychiatric syndrome of anti‐N‐methyl‐d‐aspartate receptor encephalitis
Authors: Warren N. , Siskind D. , O'Gorman C. 
Published: July 2018

ObjectiveTo review the psychiatric symptoms of anti‐N‐methyl‐d‐aspartate (NMDA) receptor encephalitis, in an attempt to differentiate the presentation from a primary psychiatric disorder.MethodA systematic literature review of PubMed and EMBASE of all published cases of anti‐NMDA receptor encephalitis was performed from inception to January 2018.ResultsThere were 706 cases of anti‐NMDA receptor encephalitis identified. Cases were typically young (mean age 22.6 years, SD 14.8), female (F : M ratio 3.5 : 1) and presented with significant behavioural disturbance. Reported behaviour was most commonly severe agitation and aggression, abnormal speech, and catatonia. Psychosis occurred in 45.8% of cases. Investigation results were inconsistent (MRI abnormal in 35.6%, EEG abnormal in 83.0%) and non‐specific. Psychiatric treatment often required multiple psychotropics, and there may be increased risk of significant side‐effects such as neuroleptic malignant syndrome. Prognosis was usually good; however, cognitive and behavioral symptoms remained prominent during recovery, and psychiatrist involvement was required in this period.ConclusionThe presentation of anti‐NMDA receptor encephalitis is variable. However, there are often psychiatric features which are atypical to a primary psychiatric illness, such as severe agitation, speech abnormalities, and catatonia, which may help early identification.
Brief Report: Pregnancy intention and opioid use disorder treatment retention in the MOTHER study
Authors: Martin Caitlin E. , Terplan Mishka , O'Grady Kevin E. , Jones Hendrée E. 
Published: July 2018

Background and ObjectivesOpioid use disorder (OUD) during pregnancy challenges public health. This study examines how pregnancy intention affects OUD treatment.MethodsThe primary exposure and outcome were pregnancy intention and treatment duration among MOTHER (Maternal Opioid Treatment: Human Experimental Research) participants (N = 175).ResultsTreatment durations were longer (21.3 vs. 16.3 weeks; p = .01) among intended (n = 29) compared to unintended (n = 146) pregnancy participants, but this was not significant in adjusted analyses.Discussion and ConclusionsUnintended pregnancies intersect with OUD and may modify one's treatment outcomes.Scientific SignificanceOUD treatment may be a setting to help women implement informed family planning choices. (Am J Addict 2018;27:372–374)
A systematic review: Candidate gene and environment interaction on alcohol use and misuse among adolescents and young adults
Authors: Kim Jueun , Park Aesoon 
Published: July 2018

Background and ObjectivesYouth drinking is a pervasive public health concern with serious negative developmental implications. Candidate gene and environment interaction studies (cGxE) show that environmental effects on drinking behaviors may differ by individuals’ genotypes. Yet little is known about whether genetic and environmental effects on drinking behaviors are developmentally specific.MethodsThis systematic review evaluated 42 cGxE studies of drinking in adolescence and young adulthood.ResultsAlthough there are mixed findings, studies of cGxE effects involving DRD4, 5‐HTTLPR, DRD2, and OPRM1 genotypes showed relatively consistent patterns. The effects of under‐controlled environments (eg, low levels of parental monitoring) on early and middle adolescent drinking appeared to differ across DRD2 or OPRM1 genotypes. Effects of alcohol‐facilitating environments (eg, heavy drinking peers) on late adolescent and young adult drinking appeared to differ across DRD4 or OPRM1 genotypes. Interactions between 5‐HTTLPR genotype with stressful environments (eg, negative life events) were found throughout adolescence and young adulthood, although there were some inconsistencies regarding the risk‐conferring allele. There was limited evidence for other cGxE effects due to the small number of studies.Conclusions and Scientific SignificanceThis review suggests that GxE findings may advance our knowledge regarding which developmentally specific conditions result in the expression of candidate genes that influence youth alcohol use and misuse. However, since a significant number of studies had small sample sizes and most studies had small effect sizes, findings need replication across independent studies with large samples. (Am J Addict 2018;27:345–363)