bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-Compassion, Emotion Regulation, and Female Sexual Pain: A Comparative Exploratory Analysis
Authors: Vasconcelos Priscila , Oliveira Cátia , Nobre Pedro 
Published: December 2019

AbstractIntroductionSexual pain is a multideterminate phenomenon, resulting from the interplay between biopsychosocial dimensions. Research suggests that self-compassion plays a protective role on mental health through the enablement of adaptive emotion regulation strategies and that they both contribute to ease chronic pain experience. However, little is known about the role played by self-compassion and emotion regulation on female sexual pain.AimThe study aims to identify differences between women with self-reported sexual pain, women with other self-reported sexual dysfunctions, and women without sexual complaints regarding self-compassion and emotion regulation.MethodsA total of 220 women (Mage = 27.73 years, SD = 8.46) were divided into 3 groups based on their clinical condition – 53 women with self-reported sexual pain, 30 women with other self-reported sexual dysfunctions, and 137 women without sexual complaints – completed measures of sexual functioning (Female Sexual Function Index), self-compassion (Self-Compassion Scale), and difficulties in emotion regulation (Difficulties in Emotion Regulation Scale). Multivariate analyses of variance (MANOVAs) with post hoc analyses were performed.Main Outcome MeasureThe main outcome measures were self-compassion, measured on a 5-point Likert scale using 26-item questionnaire, and difficulties in emotion regulation, assessed on a 5-point Likert scale using a 36-item questionnaire.ResultsFindings indicated that women with self-reported sexual dysfunction and particularly women with self-reported sexual pain report lower self-compassion (P values ranging between .001 and .044) and more difficulties in emotion regulation (P values ranging between .003 and .023) than women without sexual problems.Clinical ImplicationsFindings highlight the association between lower levels of self-compassion and more difficulties in emotion regulation with self-reported sexual complaints, particularly with genito-pelvic pain–related sexual complaints.Strength & LimitationsThis is the first study to address differences between groups with different self-reported sexual dysfunctions regarding self-compassion and emotion regulation. Findings suggest that women with self-reported sexual dysfunction, particularly female sexual pain, report decreased levels of self-compassion and emotion regulation. The absence of equity on sample dimension and the correlational nature of the study are limitations to be considered.ConclusionResults indicated that self-compassion and emotion regulation are associated with sexual complaints, and particularly genito-pelvic pain complaints, suggesting the importance of conducting further investigation to address their potential positive outcomes in clinical intervention.
The Value of Long‐Term (40 years) Airborne Gamma Radiation SWE Record for Evaluating Three Observation‐Based Gridded SWE Data Sets by Seasonal Snow and Land Cover Classifications
Authors: Cho Eunsang , Jacobs Jennifer M. , Vuyovich Carrie M. 
Published: December 2019

AbstractObservation‐based long‐term gridded snow water equivalent (SWE) products are important assets for hydrological and climate research. However, an evaluation of the currently available SWE products has been limited due to the lack of independent SWE data that extend over a large range of environmental conditions. In this study, three daily long‐term SWE products (Special Sensor Microwave Imager and Sounder [SSMI/S] SWE, GlobSnow‐2 SWE, and University of Arizona [UA] SWE) were evaluated by seasonal snow cover and land cover classifications over the conterminous United States from 1982 to 2017, using the historical airborne gamma radiation SWE observations (20,738 measurements). We found that there are similar patterns in SSMI/S and GlobSnow‐2 SWE when compared against the gamma SWE. However, GlobSnow‐2 SWE had better agreement with gamma SWE than SSMI/S SWE in some forested‐type classes and maritime and prairie snow classes. As compared to SSMI/S and GlobSnow‐2 SWE, UA SWE has much better agreement with gamma SWE in all land cover types and snow classes. Tree cover and topographic heterogeneity affect the agreement between the gamma and gridded SWE and accuracy of gamma SWE itself with the largest differences typically occurring when the percent tree cover was 80% or higher, the terrain slope was steeper than 2.5°, and the elevation range exceeded 100 m. The results demonstrate the reliability of the UA SWE products and the benefits of the gamma radiation approach to measure SWE, especially in forested regions.
Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning
Authors: Wang Ying Da , Armstrong Ryan T. , Mostaghimi Peyman 
Published: December 2019

AbstractSimulation of flow directly at the pore scale depends on high‐quality digital rock images but is constrained by detector hardware. A trade‐off between the image field of view (FOV) and image resolution is made. This can be compensated for with superresolution (SR) techniques that take a wide FOV, low‐resolution (LR) image, and superresolve a high resolution (HR). The Enhanced Deep Super Resolution Generative Adversarial Network (EDSRGAN) is trained on the DeepRock‐SR, a diverse compilation of raw and processed micro‐computed tomography (
CT) images in 2D and 3D. The 2D and 3D trained networks show comparable performance of 50% to 70% reduction in relative error over bicubic interpolation with minimal computational cost during usage. Texture regeneration with EDSRGAN shows superior visual similarity versus Super Resolution Convolutional Neural Network (SRCNN) and other methods. Difference maps show SRCNN recovers large‐scale edge features while EDSRGAN regenerates perceptually indistinguishable high‐frequency texture. Physical accuracy is measured by permeability and phase topology on consistently segmented images, showing EDSRGAN results achieving the closest match. Performance is generalized with augmentation, showing high adaptability to noise and blur. HR images are fed into the network, generating HR‐SR images to extrapolate network performance to subresolution features present in the HR images themselves. Underresolution features are regenerated despite operating outside of trained specifications. Comparison with scanning electron microscopy (SEM) images shows details are consistent with the underlying geometry. Images that are normally constrained by the mineralogy of the rock, by fast transient imaging, or by the energy of the source can be superresolved accurately for further analysis.
First experimental evaluation of the alpha efficiency in coarse-grained quartz for ESR dating purposes: implications for dose rate evaluation
Authors: Bartz Melanie , Arnold Lee J. , Spooner Nigel A. , Demuro Martina , Campaña Isidoro , Rixhon Gilles , Brückner Helmut , Duval Mathieu 
Published: December 2019

AbstractWe present the first experimental evaluation of the alpha efficiency value for electron spin resonance (ESR) dating of coarse quartz grains, which is used for the evaluation of the internal and external alpha dose rate components. Based on our results, we recommend the use of an a-value of 0.07 ± 0.01 (1σ) for both the Al and Ti centres. Although we acknowledge that quartz ESR alpha efficiency may be sample dependent, and could also be impacted by other sources of uncertainty, this potential variability is presently impossible to evaluate given the absence of other experimental a-values available in the ESR dating literature. Measured radioactivity of quartz grains from the Moulouya catchment (NE Morocco) provides an internal dose rate in the range of 50–70 µGy/a when using an a-value of 0.07. The use of this empirically derived a-value for the evaluation of the internal and external alpha dose rate has a limited overall impact on the final ESR age results: they change by <2% and <3%, respectively, in comparison with those obtained with an assumed a-value. However, the large variability observed among the broader sample dataset for quartz internal radioactivity and hydrofluoric acid (HF) etching rates underscores the potential importance of undertaking experimental evaluations of alpha dose rate parameters for each dated sample.
Silicon and salicylic acid confer high-pH stress tolerance in tomato seedlings
Authors: Khan Adil , Kamran Muhammad , Imran Muhammad , Al-Harrasi Ahmed , Al-Rawahi Ahmed , Al-Amri Issa , Lee In-Jung , Khan Abdul Latif 
Published: December 2019

AbstractAlkalinity is a known threat to crop plant growth and production, yet the role of exogenous silicon (Si) and salicylic acid (SA) application has been largely unexplored. Here, we sought to understand the beneficial impacts of Si and SA on tomato seedlings during high-pH (9.0) stress. Results showed that Si- and SA-treated plants displayed higher biomass, chlorophyll contents, relative leaf water and better root system than none-treated plants under alkaline conditions. Both Si and SA counteracted the alkaline stress-induced oxidative damage by lowering the accumulation of reactive oxygen species and lipid peroxidation. The major antioxidant defence enzyme activities were largely stimulated by Si and SA, and these treatments caused significantly increased K+ and lowered Na+ concentrations in shoot and root under stress. Moreover, Si and SA treatments modulated endogenous SA levels and dramatically decreased abscisic acid levels in both shoot and root. Additionally, key genes involved in Si uptake, SA biosynthesis, the antioxidant defence system and rhizosphere acidification were up-regulated in Si and SA treatments under alkaline conditions. These results demonstrate that Si and SA play critical roles in improving alkaline stress tolerance in tomato seedlings, by modifying the endogenous Na+ and K+ contents, regulating oxidative damage and key genes and modulating endogenous hormone levels. These findings will help to broaden our understanding regarding the physiological and molecular mechanisms associated with the alkaline soil tolerance in plants.
Leveraging drought risk reduction for sustainable food, soil and climate via soil organic carbon sequestration
Authors: Iizumi Toshichika , Wagai Rota 
Published: December 2019

AbstractDrought is a major risk in global agriculture. Building-up soil organic carbon (SOC) enhances soil fertility and efficient use of rainwater, which can increase drought tolerance in food production. SOC management demonstrates its benefit at various locations and is a promising means to achieve food security and climate mitigation at once. However, no global assessment of its potential and co-benefits gained from SOC enhancement has been presented. Here we evaluated the extent to which SOC build-up could reduce agricultural drought risk. Using statistical analysis of spatially-explicit global crop and soil datasets, we find that relatively small enhancement in topsoil (0–30 cm) organic carbon content (OCtop) could increase drought tolerance of the food production systems operating over 70% of the global harvested area (particularly drylands). By closing the gap between current and upper limit of tolerance levels through SOC addition of 4.87 GtC at the global scale, farmer’s economic output in drought years would increase by ~16%. This level of SOC increase has co-benefit of reducing global decadal mean temperature warming by 0.011 °C. Our findings highlight that progress towards multiple development goals can be leveraged by SOC enhancement in carbon (C)-poor soils in drier regions around the world.
Sexual practices have a significant impact on the vaginal microbiota of women who have sex with women
Authors: Plummer Erica L. , Vodstrcil Lenka A. , Fairley Christopher K. , Tabrizi Sepehr N. , Garland Suzanne M. , Law Matthew G. , Hocking Jane S. , Fethers Katherine A. , Bulach Dieter M. , Murray Gerald L. , Bradshaw Catriona S. 
Published: December 2019

AbstractWomen-who-have-sex-with-women (WSW) are at increased risk of bacterial vaginosis (BV). We investigated the impact of practices and past BV on the vaginal microbiota within a two-year longitudinal cohort of Australian WSW. Self-collected vaginal swabs were used to characterise the vaginal microbiota using 16S-rRNA gene sequencing. Hierarchical clustering defined community state types (CSTs). Bacterial diversity was calculated using the Shannon diversity index and instability of the vaginal microbiota was assessed by change of CST and Bray-Curtis dissimilarity. Sex with a new partner increased the bacterial diversity (adjusted-coefficient = 0.41, 95%CI: 0.21,0.60, p < 0.001) and instability of the vaginal microbiota, in terms of both change of CST (adjusted-odds-ratio = 2.65, 95%CI: 1.34,5.22, p = 0.005) and increased Bray-Curtis dissimilarity (adjusted-coefficient = 0.21, 95%CI: 0.11,0.31, p < 0.001). Women reporting sex with a new partner were more likely than women reporting no new partner to have a vaginal microbiota characterised by Gardnerella vaginalis (adjusted-relative-risk-ratio[aRRR] = 3.45, 95%CI: 1.42,8.41, p = 0.006) or anaerobic BV-associated bacteria (aRRR = 3.62, 95%CI: 1.43,9.14, p = 0.007) relative to a Lactobacillus crispatus dominated microbiota. Sex with a new partner altered the vaginal microbiota of WSW by increasing the diversity and abundance of BV-associated bacteria. These findings highlight the influence of practices on the development of a non-optimal vaginal microbiota and provide microbiological support for the sexual exchange of bacteria between women.
Explanation of Fitts’ law in Reaching Movement based on Human Arm Dynamics
Authors: Takeda Misaki , Sato Takanori , Saito Hisashi , Iwasaki Hiroshi , Nambu Isao , Wada Yasuhiro 
Published: December 2019

AbstractWhy does Fitts’ law fit various human behavioural data well even though it is not a model based on human physical dynamics? To clarify this, we derived the relationships among the factors applied in Fitts’ law—movement duration and spatial endpoint error—based on a multi-joint forward- and inverse-dynamics models in the presence of signal-dependent noise. As a result, the relationship between them was modelled as an inverse proportion. To validate whether the endpoint error calculated by the model can represent the endpoint error of actual movements, we conducted a behavioural experiment in which centre-out reaching movements were performed under temporal constraints in four directions using the shoulder and elbow joints. The result showed that the distributions of model endpoint error closely expressed the observed endpoint error distributions. Furthermore, the model was found to be nearly consistent with Fitts’ law. Further analysis revealed that the coefficients of Fitts’ law could be expressed by arm dynamics and signal-dependent noise parameters. Consequently, our answer to the question above is: Fitts’ law for reaching movements can be expressed based on human arm dynamics; thus, Fitts’ law closely fits human’s behavioural data under various conditions.
Gamma Knife radiosurgery for cerebral cavernous malformation
Authors: Lee Cheng-Chia , Wang Wei-Hsin , Yang Huai-Che , Lin Chung-Jung , Wu Hsiu-Mei , Lin Yen-Yu , Hu Yong-Sin , Chen Ching-Jen , Chen Yu-Wei , Chou Chien-Chen , Liu Yo-Tsen , Chung Wen-Yuh , Shiau Cheng-Ying , Guo Wan-Yuo , Hung-Chi Pan David , Hsu Sanford P. C. 
Published: December 2019

AbstractThis is a retrospective study examining the efficacy and safety of Gamma Knife radiosurgery (GKS) in treating patients with cerebral cavernous malformations (CCMs). Between 1993 and 2018, 261 patients with 331 symptomatic CCMs were treated by GKS. The median age was 39.9 years and females were predominant (54%). The median volume of CCMs was 3.1 mL. The median margin dose was 11.9 Gy treat to a median isodose level of 59%. Median clinical and imaging follow-up times were 69 and 61 months, respectively. After the initial hemorrhage that led to CCM diagnosis, 136 hemorrhages occurred in the period prior to GKS (annual incidence = 23.6%). After GKS, 15 symptomatic hemorrhages occurred within the first 2 years of follow-up (annual incidence = 3.22%), and 37 symptomatic hemorrhages occurred after the first 2 years of follow-up (annual incidence = 3.16%). Symptomatic radiation-induced complication was encountered in 8 patients (3.1%). Mortality related to GKS occurred in 1 patient (0.4%). In conclusion, GKS decreased the risk of hemorrhage in CCM patients presenting with symptomatic hemorrhage. GKS is a viable alternative treatment option for patients with surgically-inaccessible CCMs or significant medical comorbidities.
Adaptive amino acid substitutions enable transmission of an H9N2 avian influenza virus in guinea pigs
Authors: Lina Liu , Saijuan Chen , Chengyu Wang , Yuefeng Lu , Shishan Dong , Ligong Chen , Kangkang Guo , Zhendong Guo , Jiakai Li , Jianhui Zhang , Qingping Luo , Wenting Zhang , Yu Shang , Honglin Wang , Tengfei Zhang , Guoyuan Wen , Jiping Zhu , Chunmao Zhang , Meilin Jin , Yuwei Gao , Huabin Shao , Zongzheng Zhao 
Published: December 2019

AbstractH9N2 is the most prevalent low pathogenic avian influenza virus (LPAIV) in domestic poultry in the world. Two distinct H9N2 poultry lineages, G1-like (A/quail/Hong Kong/G1/97) and Y280-like (A/Duck/Hong Kong/Y280/1997) viruses, are usually associated with binding affinity for both α 2,3 and α 2,6 sialic acid receptors (avian and human receptors), raising concern whether these viruses possess pandemic potential. To explore the impact of mouse adaptation on the transmissibility of a Y280-like virus A/Chicken/Hubei/214/2017(H9N2) (abbreviated as WT), we performed serial lung-to-lung passages of the WT virus in mice. The mouse-adapted variant (MA) exhibited enhanced pathogenicity and advantaged transmissibility after passaging in mice. Sequence analysis of the complete genomes of the MA virus revealed a total of 16 amino acid substitutions. These mutations distributed across 7 segments including PB2, PB1, PA, NP, HA, NA and NS1 genes. Furthermore, we generated a panel of recombinant or mutant H9N2 viruses using reverse genetics technology and confirmed that the PB2 gene governing the increased pathogenicity and transmissibility. The combinations of 340 K and 588 V in PB2 were important in determining the altered features. Our findings elucidate the specific mutations in PB2 contribute to the phenotype differences and emphasize the importance of monitoring the identified amino acid substitutions due to their potential threat to human health.
Multivariate Classification of Prunus dulcis Varieties using Leaves of Nursery Plants and Near-Infrared Spectroscopy
Authors: Borraz-Martínez Sergio , Simó Joan , Gras Anna , Mestre Mariàngela , Boqué Ricard 
Published: December 2019

AbstractThe emergence of new almond tree (Prunus dulcis) varieties with agricultural interest is forcing the nursery plant industry to establish quality systems to keep varietal purity in the production stage. The aim of this study is to assess the capability of near-infrared spectroscopy (NIRS) to classify different Prunus dulcis varieties as an alternative to more expensive methods. Fresh and dried-powdered leaves of six different varieties of almond trees of commercial interest (Avijor, Guara, Isabelona, Marta, Pentacebas and Soleta) were used. The most important variables to discriminate between these varieties were studied through of three scientifically accepted indicators (Variable importance in projection¸ selectivity ratio and vector of the regression coefficients). The results showed that the 7000 to 4000 cm−1 range contains the most useful variables, which allowed to decrease the complexity of the data set. Concerning to the classification models, a high percentage of correct classifications (90–100%) was obtained, where dried-powdered leaves showed better results than fresh leaves. However, the classification rate of both kinds of leaves evidences the capacity of the near-infrared spectroscopy to discriminate Prunus dulcis varieties. We demonstrate with these results the capability of the NIRS technology as a quality control tool in nursery plant industry.
Predictive Modelling of Lung Function using Emphysematous Density Distribution
Authors: Lor Kuo-Lung , Liu Cheng-Pei , Chang Yeun-Chung , Yu Chong-Jen , Wang Cheng-Yi , Chung Ming-Jui , Lin Fan-Ya , Chen Chung-Ming 
Published: December 2019

AbstractTarget lung tissue selection remains a challenging task to perform for treating severe emphysema with lung volume reduction (LVR). In order to target the treatment candidate, the percentage of low attenuation volume (LAV%) representing the proportion of emphysema volume to whole lung volume is measured using computed tomography (CT) images. Although LAV% have shown to have a correlation with lung function in patients with chronic obstructive pulmonary disease (COPD), similar measurements of LAV% in whole lung or lobes may have large variations in lung function due to emphysema heterogeneity. The functional information of regional emphysema destruction is required for supporting the choice of optimal target. The purpose of this study is to develop an emphysema heterogeneity descriptor for the three-dimensional emphysematous bullae according to the size variations of emphysematous density (ED) and their spatial distribution. The second purpose is to derive a predictive model of airflow limitation based on the regional emphysema heterogeneity. Deriving the bullous representation and grouping them into four scales in the upper and lower lobes, a predictive model is computed using the linear model fitting to estimate the severity of lung function. A total of 99 subjects, 87 patients with mild to very severe COPD (Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage I~IV) and 12 control participants with normal lung functions (forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) > 0.7) were evaluated. The final model was trained with stratified cross-validation on randomly selected 75% of the dataset (n = 76) and tested on the remaining dataset (n = 23). The dispersed cases of LAV% inconsistent with their lung function outcome were evaluated, and the correlation study suggests that comparing to LAV of larger bullae, the widely spread smaller bullae with equivalent LAV has a larger impact on lung function. The testing dataset has the correlation of r = −0.76 (p < 0.01) between the whole lung LAV% and FEV1/FVC, whereas using two ED % of scales and location-dependent variables to predict the emphysema-associated FEV1/FVC, the results shows their correlation of 0.82 (p < 0.001) with clinical FEV1/FVC.