bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wetland restoration by natural succession in abandoned pastures with a degraded soil seed bank
Authors: Morimoto Junko , Shibata Masatoshi , Shida Yuichiro , Nakamura Futoshi 
Published: May 2017

AbstractNatural restoration of historical wetland plant communities in fallow fields with a degraded seed bank has been assumed to be possible only if source populations of the target species are present adjacent to the abandoned fields and a high density of suitable microsites is available. However, few studies have monitored both factors simultaneously and verified this assumption. We hypothesized that plant communities that are similar to historical wetlands, including back marshes, back swamps, and bogs, will reestablish in abandoned pasturelands in cases when (1) gaps for new recruitment emerge, followed by the decline of pastures; and (2) seeds with longevity are supplied from the surrounding remnant plant communities of wetlands. We conducted a survey of vegetation and microsites in pastures, abandoned pastures, and reference wetlands followed by structural equation modeling to verify our hypothesis for the natural restoration of Phragmites australis–Phalaris arundinacea and Alnus japonica–Spiraea salicifolia communities. These communities represent historical back marshes and back swamps along a river. However, our hypothesis was not verified for the natural restoration of Vaccinium oxycoccos–Sphagnum spp. communities, which represent plant communities in historical bogs grown on acidic peat that are maintained by rainfall and fog. Our findings partly support our hypothesis that decline in pastures creates gaps and that cumulative seed dispersal from nearby remnant wetlands allows the original wetland plant communities to regenerate. Further case studies are needed to determine how the natural restoration of bog plant communities occurs.
Hiring and Separation Rates Before and after the Arab Spring in the Tunisian Labour Market
Authors: Heshmati Almas , Haouas Ilham , Sohag Kazi , Shahbaz Muhammad 
Published: May 2017

AbstractWe seek to explore the hiring and separation rates in Tunisia before and after the Arab Spring based on quarterly business level data for 503 firms over the span of January 2007 to December 2012. Furthermore, we examine whether employers are willing to dismiss older workers to trigger an effective increase in mobility that will open new opportunities for the youth community. We build our analysis upon six main empirical models to study employment decisions reflected by major indicators such as the number of hiring, number of separations, total employment effects, male‐female ratio, age cohorts, labour mobility and net employment. The results show that the Arab Spring has created structural unemployment trends. In addition, we note that the 2008 global turmoil has fostered the firing level of employment. Our conclusions also indicate that the response of Tunisia's government to high unemployment rates caused by the financial meltdown in 2008 and the events in 2011 was not sufficient to remove the attached lingering effects that still distress the country's labour market. In addition, our findings emphasize the significant challenges faced by Tunisian youth that could be mitigated by efficient policy actions to incentivize training and development geared towards the private sector.
Influence of an intentionally induced posterior lens capsule rupture on the real‐time intraocular pressure during phacoemulsification in canine ex vivo eyes
Authors: Kang Seonmi , Park Sangwan , Park Eunjin , Lim Jaegook , Seo Kangmoon 
Published: May 2017

AbstractObjectiveTo evaluate the changes in the intraocular pressure (IOP) following an intentionally induced posterior lens capsule rupture (PLCR) during phacoemulsification in enucleated canine eyes. Furthermore, to compare the IOPs between different stages of phacoemulsification for two different bottle heights (BH).ProceduresCoaxial phacoemulsification was performed using a venturi‐based machine at a 60 or 90 cm BH. A pressure transducer, inserted into the anterior chamber through the peripheral cornea, monitored real‐time IOP. For one half of the lens, the sculpt‐segment removal (SS) was followed by irrigation/aspiration (IA). The PLCR was intentionally created, and the SS and IA were repeated on the residual lens fragments.ResultsFor the 60 cm BH, the mean IOP following the PLCR was significantly higher than before the PLCR during SS (28.30 ± 12.56 and 38.71 ± 9.43 mmHg before and after PLCR, respectively) and IA (42.76 ± 12.46 and 47.88 ± 7.10 mmHg before and after PLCR, respectively) stages (P < 0.001). For the 90 cm BH, the mean IOP following the PLCR was also significantly higher than before the PLCR during SS (33.39 ± 11.09 and 58.17 ± 6.89 mmHg before and after PLCR, respectively) and IA (62.39 ± 12.46 and 72.04 ± 8.59 mmHg before and after PLCR, respectively) stages (P < 0.001).ConclusionsThe occurrence of a PLCR led to an increase in IOP during both the SS and IA stages. The elevated IOP after the PLCR might be one of the most important factors for ocular tissue damage, as it reduces ocular perfusion. Additionally, the BH should be reduced following PLCR to prevent complications stemming from the raised IOP.
Second flip in the Hassett–Keel program: existence of good moduli spaces
Authors: Alper Jarod , Fedorchuk Maksym , Smyth David Ishii 
Published: May 2017

We prove a general criterion for an algebraic stack to admit a good moduli space. This result may be considered as a generalization of the Keel–Mori theorem, which guarantees the existence of a coarse moduli space for a separated Deligne–Mumford stack. We apply this result to prove that the moduli stacks $\overline{{\mathcal{M}}}_{g,n}(\unicode[STIX]{x1D6FC})$ parameterizing $\unicode[STIX]{x1D6FC}$-stable curves introduced in [J. Alper et al., Second flip in the Hassett–Keel program: a local description, Compositio Math. 153 (2017), 1547–1583] admit good moduli spaces.
Models in Translational Oncology: A Public Resource Database for Preclinical Cancer Research
Authors: Galuschka Claudia , Proynova Rumyana , Roth Benjamin , Augustin Hellmut G. , Müller-Decker Karin 
Published: May 2017

Abstract
The devastating diseases of human cancer are mimicked in basic and translational cancer research by a steadily increasing number of tumor models, a situation requiring a platform with standardized reports to share model data. Models in Translational Oncology (MiTO) database was developed as a unique Web platform aiming for a comprehensive overview of preclinical models covering genetically engineered organisms, models of transplantation, chemical/physical induction, or spontaneous development, reviewed here. MiTO serves data entry for metastasis profiles and interventions. Moreover, cell lines and animal lines including tool strains can be recorded. Hyperlinks for connection with other databases and file uploads as supplementary information are supported. Several communication tools are offered to facilitate exchange of information. Notably, intellectual property can be protected prior to publication by inventor-defined accessibility of any given model. Data recall is via a highly configurable keyword search. Genome editing is expected to result in changes of the spectrum of model organisms, a reason to open MiTO for species-independent data. Registered users may deposit own model fact sheets (FS). MiTO experts check them for plausibility. Independently, manually curated FS are provided to principle investigators for revision and publication. Importantly, noneditable versions of reviewed FS can be cited in peer-reviewed journals. Cancer Res; 77(10); 2557–63. ©2017 AACR.
Refining Spirit Hermeneutics
Authors: Keener Craig S. 
Published: May 2017

In this article Craig S. Keener participates in the roundtable dialogue on his book: Spirit Hermeneutics: Reading Scripture in the Light of Pentecost. After responding individually to the reviews of L. William Oliverio, Jr., Kevin L. Spawn, Hannah R.K. Mather, Ben Aker, Jacqueline N. Grey, and Kenneth J. Archer, Keener responds more fully to some key issues in the reviews and articulates elements of his hermeneutical theory that complement the arguments in his book, including discussions on conventional hermeneutics, the role of subjectivity/objectivity in interpretation, and the relationship between pentecostal hermeneutics and evangelical hermeneutics.
A New High-Resolution Sea Surface Temperature Blended Analysis
Authors: Harris Andy , Mittaz Jonathan , Sapper John , Wick Gary , Zhu Xiaofang , Dash Prasanjit , Koner Prabhat 
Published: May 2017

AbstractThe National Oceanic and Atmospheric Administration’s (NOAA) office of National Environmental Satellite, Data, and Information Service (NESDIS) now generates a daily 0.05° (∼5 km) global high-resolution satellite-based sea surface temperature (SST) analyses on an operational basis. The new analysis combines SST data from U.S., Japanese, and European geostationary infrared imagers, and low-Earth-orbiting infrared (United States and Europe) SST data, into a single high-resolution 5-km product. An earlier version produced a 0.1° (∼11 km) resolution, a resolution chosen to approximate the Nyquist sampling criterion for the midlatitude Rossby radius (∼20 km), in order to preserve mesoscale oceanographic features such as eddies and frontal meanders. Comparison between the two analyses illustrates that the higher-resolution grid spacing has more success in this regard. The analysis employs a rigorous multiscale optimum interpolation (OI) methodology that approximates the Kalman filter, together with a data-adaptive correlation length scale, to ensure a good balance between detail preservation and noise reduction. The product accuracy verified against globally distributed buoys is ∼0.02 K, with a robust standard deviation of ∼0.25 K. The new analysis has proven a significant success even when compared to other products that purport to have a similar resolution. This analysis forms the basis for other operational environmental products such as coral reef bleaching risk and ocean heat content for tropical cyclone prediction. Forthcoming enhancements include the incorporation of microwave SST products from low-Earth-orbiting platforms [e.g., Global Change Observation Mission for Water-1 (GCOM-W1)] in order to improve the resolution of SST features in areas of persistent cloud and correct for diurnal effects via a turbulence model of upper-ocean heating.
Simulating the Effects of Anthropogenic Aerosols on Terrestrial Aridity Using an Aerosol–Climate Coupled Model
Authors: Zhao Shuyun , Zhang Hua , Wang Zhili , Jing Xianwen 
Published: May 2017

Abstract
The comprehensive effects of anthropogenic aerosols (sulfate, black carbon, and organic carbon) on terrestrial aridity were simulated using an aerosol–climate coupled model system. The results showed that the increase in total anthropogenic aerosols in the atmosphere from 1850 to 2010 had caused global land annual mean precipitation to decrease by about 0.19 (0.18, 0.21) mm day−1, where the uncertainty range of the change (minimum, maximum) is given in parentheses following the mean change, and reference evapotranspiration ET0 (representing evapotranspiration ability) to decrease by about 0.33 (0.31, 0.35) mm day−1. The increase in anthropogenic aerosols in the atmosphere from 1850 to 2010 had caused land annual mean terrestrial aridity to decrease by about 3.0% (2.7%, 3.6%). The areal extent of global total arid and semiarid areas had reduced due to the increase in total anthropogenic aerosols in the atmosphere from preindustrial times. However, it was found that the increase in anthropogenic aerosols in the atmosphere had enhanced the terrestrial aridity and thus resulted in an expansion of arid and semiarid areas over East and South Asia. The projected decrease in anthropogenic aerosols in the atmosphere from 2010 to 2100 will increase global land annual mean precipitation by about 0.15 (0.13, 0.16) mm day−1 and ET0 by about 0.26 (0.25, 0.28) mm day−1, thereby producing a net increase in terrestrial aridity of about 2.8% (2.1%, 3.6%) and an expansion of global total arid and semiarid areas.
Comparison of the Analyses and Forecasts of a Tornadic Supercell Storm from Assimilating Phased-Array Radar and WSR-88D Observations
Authors: Supinie Timothy A. , Yussouf Nusrat , Jung Youngsun , Xue Ming , Cheng Jing , Wang Shizhang 
Published: May 2017

Abstract
NOAA’s National Severe Storms Laboratory is actively developing phased-array radar (PAR) technology, a potential next-generation weather radar, to replace the current operational WSR-88D radars. One unique feature of PAR is its rapid scanning capability, which is at least 4–5 times faster than the scanning rate of WSR-88D. To explore the impact of such high-frequency PAR observations compared with traditional WSR-88D on severe weather forecasting, several storm-scale data assimilation and forecast experiments are conducted. Reflectivity and radial velocity observations from the 22 May 2011 Ada, Oklahoma, tornadic supercell storm are assimilated over a 45-min period using observations from the experimental PAR located in Norman, Oklahoma, and the operational WSR-88D radar at Oklahoma City, Oklahoma. The radar observations are assimilated into the ARPS model within a heterogeneous mesoscale environment and 1-h ensemble forecasts are generated from analyses every 15 min. With a 30-min assimilation period, the PAR experiment is able to analyze more realistic storm structures, resulting in higher skill scores and higher probabilities of low-level vorticity that align better with the locations of radar-derived rotation compared with the WSR-88D experiment. Assimilation of PAR observations for a longer 45-min time period generates similar forecasts compared to assimilating WSR-88D observations, indicating that the advantage of rapid-scan PAR is more noticeable over a shorter 30-min assimilation period. An additional experiment reveals that the improved accuracy from the PAR experiment over a shorter assimilation period is mainly due to its high-temporal-frequency sampling capability. These results highlight the benefit of PAR’s rapid-scan capability in storm-scale modeling that can potentially extend severe weather warning lead times.
Changes in the albumin glycation site, plasma pentosidine and esRAGE concentrations before and after intensive diabetic treatment in patients with abnormally high glycated albumin levels
Authors: Miyamoto Hiroyasu , Kohzuma Takuji , Ohnishi Akihiro 
Published: May 2017

Background We have reported that the blood glucose normalization treatment reduced the albumin glycation sites and the intensity of albumin AGE fluorescence in patients with abnormally high glycated albumin levels. To clarify the relationship between glycaemic control status and levels of glycated proteins and related markers, we studied the change of the markers of the DM patients with and without fatty liver, liver cirrhosis and dialysis before and after the intensive diabetic treatment. Methods Eight diabetic patients with abnormally high glycated albumin levels (no complications: 2, fatty liver: 3, liver cirrhosis: 2, dialysis: 1) were recruited. In the hypoglycaemic treatment for these patients, the HbA1c, glycated albumin, albumin AGE fluorescence, pentosidine, endogenous secretory receptors for AGE (esRAGE) and glycation sites of albumin were determined. Results Glycated albumin and HbA1c levels dropped after the treatment. Albumin glycation sites decreased in almost the same pattern, irrespective of the type of complications. The fluorescence intensity and pentosidine concentrations decreased significantly. However, post-treatment pentosidine concentrations were higher than the reference interval in all cases. Average esRAGE concentrations did not change and were lower than the reference interval. Conclusions Hypoglycaemic treatment reduced the glycated albumin levels, glycation sites of albumin and AGE concentrations but not esRAGE concentrations in diabetic patients with or without fatty liver, liver cirrhosis, and dialysis. Checking and maintaining low glycated albumin levels would prevent the formation of AGE and may be useful to prevent the onset or progression of diabetes complications.
Mind the gap: shortcomings of the osmotic gap and a possible solution
Authors: Wilgen Urs , Pretorius Carel J , Ungerer Jacobus PJ 
Published: May 2017

Background Measured (MO) and calculated osmotic concentrations (CO) and the osmotic gap (OG) are commonly used in the investigation of electrolyte and volume disturbances as well as in cases of suspected volatile ingestion. Methods We compared 38 published formulae for CO with MO on a large data-set ( n = 9466) and adjusted the CO with the result of a Passing-Bablok regression procedure. Validation of this adjustment was performed with a separate data-set ( n = 2082). Results All but one of the CO formulae underestimate MO due to a proportional bias (slope 0.67 to 0.95) and the OG limits were therefore not applicable throughout the observed range. Using Passing-Bablok regression to adjust the CO: CO#3 = (2 × Na+urea+glucose−14.54)/0.93. After adjustment, the mean OG was 0.3 mmol/L with a SD of 5.1 mmol/L across the measurement interval. The distribution of the OG could be fully explained by the analytical imprecision of the measured components. Conclusions Simple adjustment of the CO for the proportional underestimation of MO allows OG reference limits of approximately −10 to +10 mmol/L to be used, even in the upper ranges of CO in patients with suspected volatile ingestion.
Bayes-based Non-Bayesian Inference on Finite Populations from Non-representative Samples: A Unified Approach*Based on S. N. Roy Memorial Lecture in the symposium.
Authors: Pfeffermann Danny 
Published: May 2017

Classical inference on finite populations is based on probability samples drawn from the target population with predefined selection probabilities. The target population parameters are either descriptive statistics such as totals or proportions, or parameters of statistical models assumed to hold for the population values. Familiar examples of estimation of models include the estimation of income elasticities from household surveys, comparisons of pupils’ achievements from educational surveys, and the study of causal relationships between risk factors and disease prevalence from health surveys. Models are also routinely used to account for measurement errors and for small area estimation with small samples in at least some of the areas. In practice, the samples selected are often not representative of the finite populations from which they are taken. This is so because the sample selection probabilities might be correlated with the model target values, known as informative sampling, or that observations are missing because of not missing at random (NMAR) nonresponse. Sometimes, the samples are subject to mode effects resulting from the use of different answering methods for different sample units, and in more extreme cases, the samples are drawn from sub-populations such as in web-based surveys or in observational studies. The focus of this article is to discuss and illustrate how all these diverse scenarios can be handled in a unified manner by use of Bayes theorem. The use of Bayes theorem allows relating the model holding for the observed data with the model holding for the missing data and the model operating in the target population. I discuss different estimation procedures and review articles that illustrate their performance.
Recommendations to reduce inequalities for LGBT people facing advanced illness: ACCESSCare national qualitative interview study
Authors: Bristowe Katherine , Hodson Matthew , Wee Bee , Almack Kathryn , Johnson Katherine , Daveson Barbara A , Koffman Jonathan , McEnhill Linda , Harding Richard 
Published: May 2017

Background: Lesbian, gay, bisexual and/or trans (LGBT) people have higher risk of certain life-limiting illnesses and unmet needs in advanced illness and bereavement. ACCESSCare is the first national study to examine in depth the experiences of LGBT people facing advanced illness. Aim: To explore health-care experiences of LGBT people facing advanced illness to elicit views regarding sharing identity (sexual orientation/gender history), accessing services, discrimination/exclusion and best-practice examples. Design: Semi-structured in-depth qualitative interviews analysed using thematic analysis. Setting/participants: In total, 40 LGBT people from across the United Kingdom facing advanced illness: cancer ( n = 21), non-cancer ( n = 16) and both a cancer and a non-cancer conditions ( n = 3). Results: In total, five main themes emerged: (1) person-centred care needs that may require additional/different consideration for LGBT people (including different social support structures and additional legal concerns), (2) service level or interactional (created in the consultation) barriers/stressors (including heteronormative assumptions and homophobic/transphobic behaviours), (3) invisible barriers/stressors (including the historical context of pathology/criminalisation, fears and experiences of discrimination) and (4) service level or interactional facilitators (including acknowledging and including partners in critical discussions). These all shape (5) individuals’ preferences for disclosing identity. Prior experiences of discrimination or violence, in response to disclosure, were carried into future care interactions and heightened with the frailty of advanced illness. Conclusion: Despite recent legislative change, experiences of discrimination and exclusion in health care persist for LGBT people. Ten recommendations, for health-care professionals and services/institutions, are made from the data. These are simple, low cost and offer potential gains in access to, and outcomes of, care for LGBT people.
Quantitative assessment of brain glucose metabolic rates using in vivo deuterium magnetic resonance spectroscopy
Authors: Lu Ming , Zhu Xiao-Hong , Zhang Yi , Mateescu Gheorghe , Chen Wei 
Published: May 2017

Quantitative assessment of cerebral glucose consumption rate (CMRglc) and tricarboxylic acid cycle flux (VTCA) is crucial for understanding neuroenergetics under physiopathological conditions. In this study, we report a novel in vivo Deuterium (2H) MRS (DMRS) approach for simultaneously measuring and quantifying CMRglc and VTCA in rat brains at 16.4 Tesla. Following a brief infusion of deuterated glucose, dynamic changes of isotope-labeled glucose, glutamate/glutamine (Glx) and water contents in the brain can be robustly monitored from their well-resolved 2H resonances. Dynamic DMRS glucose and Glx data were employed to determine CMRglc and VTCA concurrently. To test the sensitivity of this method in response to altered glucose metabolism, two brain conditions with different anesthetics were investigated. Increased CMRglc (0.46 vs. 0.28 µmol/g/min) and VTCA (0.96 vs. 0.6 µmol/g/min) were found in rats under morphine as compared to deeper anesthesia using 2% isoflurane. This study demonstrates the feasibility and new utility of the in vivo DMRS approach to assess cerebral glucose metabolic rates at high/ultrahigh field. It provides an alternative MRS tool for in vivo study of metabolic coupling relationship between aerobic and anaerobic glucose metabolisms in brain under physiopathological states.