bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrating the Rabinowitz rarity framework with a National Plant Inventory in South Korea
Authors: Choe Hyeyeong , Thorne James H. , Hijmans Robert , Seo Changwan 
Published: January 2019

AbstractIncreasingly large presence‐only survey datasets are becoming available for use in conservation assessments. Potentially, these records could be used to determine spatial patterns of plant species rarity and endemism. We test the integration of a large South Korean species record database with Rabinowitz rarity classes. Rabinowitz proposed seven classes of species rarity using three variables: geographic range, habitat specificity, and local population size. We estimated the range size and local abundance of 2,215 plant species from species occurrence records and habitat specificity as the number of landcover types each species’ records were found in. We classified each species into a rarity class or as common, compared species composition by class to national lists, and mapped the spatial pattern of species richness for each rarity class. Species were classed to narrow or wide geographic ranges using 315 km, the average from a range size index of all species (Dmax), based on maximum distance between observations. There were four classes each within the narrow and wide range groups, sorted using cutoffs of local abundance and habitat specificity. Nationally listed endangered species only appeared in the narrow‐range classes, while nationally listed endemic species appeared in almost all classes. Species richness in most rarity classes was high in northeastern South Korea especially for species with narrow ranges. Policy implications. Large presence‐only surveys may be able to estimate some classes of rarity better than others, but modification to include estimates of local abundance and habitat types, could greatly increase their utility. Application of the Rabinowitz rarity framework to such surveys can extend their utility beyond species distribution models and can identify areas that need further surveys and for conservation priority. Future studies should be aware of the subjectivity of the rarity classification and that regional scale implementations of the framework may differ.
Integrative taxonomy refutes a species hypothesis: The asymmetric hybrid origin of Arsapnia arapahoe (Plecoptera, Capniidae)
Authors: Young Michael K. , Smith Rebecca J. , Pilgrim Kristine L. , Fairchild Matthew P. , Schwartz Michael K. 
Published: January 2019

AbstractMolecular tools are commonly directed at refining taxonomies and the species that constitute their fundamental units. This has been especially insightful for groups for which species hypotheses are ambiguous and have largely been based on morphological differences between certain life stages or sexes, and has added importance when taxa are a focus of conservation efforts. Here, we examine the taxonomic status of Arsapnia arapahoe, a winter stonefly in the family Capniidae that is a species of conservation concern because of its limited abundance and restricted range in northern Colorado, USA. Phylogenetic analyses of sequences of mitochondrial and nuclear genes of this and other capniid stoneflies from this region and elsewhere in western North America indicated extensive haplotype sharing, limited genetic differences, and a lack of reciprocal monophyly between A. arapahoe and the sympatric A. decepta, despite distinctive and consistent morphological differences in the sexual apparatus of males of both species. Analyses of autosomal and sex‐linked single nucleotide polymorphisms detected using genotyping by sequencing indicated that all individuals of A. arapahoe consisted of F1 hybrids between female A. decepta and males of another sympatric stonefly, Capnia gracilaria. Rather than constitute a self‐sustaining evolutionary lineage, A. arapahoe appears to represent the product of nonintrogressive hybridization in the limited area of syntopy between two widely distributed taxa. This offers a cautionary tale for taxonomists and conservation biologists working on the less‐studied components of the global fauna.
Univariate Community Assembly Analysis (UniCAA): Combining hierarchical models with null models to test the influence of spatially restricted dispersal, environmental filtering, and stochasticity on community assembly
Authors: Sydenham Markus A. K. , Moe Stein R. , Steinert Mari , Eldegard Katrine 
Published: January 2019

AbstractIdentifying the influence of stochastic processes and of deterministic processes, such as dispersal of individuals of different species and trait‐based environmental filtering, has long been a challenge in studies of community assembly. Here, we present the Univariate Community Assembly Analysis (UniCAA) and test its ability to address three hypotheses: species occurrences within communities are (a) limited by spatially restricted dispersal; (b) environmentally filtered; or (c) the outcome of stochasticity—so that as community size decreases—species that are common outside a local community have a disproportionately higher probability of occurrence than rare species. The comparison with a null model allows assessing if the influence of each of the three processes differs from what one would expect under a purely stochastic distribution of species. We tested the framework by simulating “empirical” metacommunities under 15 scenarios that differed with respect to the strengths of spatially restricted dispersal (restricted vs. not restricted); habitat isolation (low, intermediate, and high immigration rates); and environmental filtering (strong, intermediate, and no filtering). Through these tests, we found that UniCAA rarely produced false positives for the influence of the three processes, yielding a type‐I error rate ≤5%. The type‐II error rate, that is, production of false negatives, was also acceptable and within the typical cutoff (20%). We demonstrate that the UniCAA provides a flexible framework for retrieving the processes behind community assembly and propose avenues for future developments of the framework.
Performance of surface ionic conduction single chamber fuel cell prepared by the sol gel method
Authors: Tsutsui Naoji , Nagata Akiyoshi 
Published: January 2019

AbstractThe performance of surface ionic conduction single chamber fuel cell (SIC‐SCFC) prepared by the sol gel method was studied on electric characteristics due to the differences of the operating temperature and humidity, the electrode distance and electrolyte film depth, and multiple cells with the series and parallel connections. The SIC–SCFC was arranged the both anode of Pt and cathode of Au on the boehmite electrolyte. The open circuit voltage (OCV) of single cell achieved a maximum of 530mV in the dry gas mixtures of O2/H2=50% in room temperature operation, and but it became decrease as over 60%. The OCV was maintained the constant value between operating temperatures of 30°C to 80°C, and but it was decreased sharply at over 90°C because a humidity on the cell became lower as increasing operating temperature. Then, the cell property was improved to 120°C by adding to the humidity of 70% using a humidifier. The electrode distance and the electrolyte film depth of SIC‐SCFC found to be contributed to the reductions of the cell resistance and the surface roughness on the electrode, respectively. Moreover, the power property of SIC‐SCFC was significantly improved by cell stacks comprised of the series or parallel connection of a cell.
Experimental design and measurement uncertainty in ligand binding studies by affinity capillary electrophoresis
Authors: Stein Matthias , Haselberg Rob , Mozafari‐Torshizi Mona , Wätzig Hermann 
Published: January 2019

AbstractIn all life sciences ligand binding assays (LBAs) play a crucial role. Unfortunately these are very error prone. One part of this uncertainty results from the unavoidable random measurement uncertainty, another part can be attributed to the experimental design. To investigate the latter, uncertainty propagation was evaluated as a function of the given experimental design. A design space including the normalized maximum response range (nMRR), the data point position (DPP), the data point range (DPR) and the number of data points (NoDP) was defined. Based on ten measured ms ACE source data sets 20 specific parameter sets were selected by Design of Experiments. Monte Carlo simulations using 100 000 repeats for every parameter set were employed. The resulting measurement uncertainty propagation factors (measurement uncertainty multiplier: MUM) were used to describe the whole design space by polynomial regression. The resulting 5‐dimensional response surface was investigated to evaluate the design parameter's influence and to find the minimal uncertainty propagation. It could be shown, that the nMRR is of highest importance, followed by DPP and DPR. Interestingly, the NoDP is less relevant. However, the interactions of the four parameters need to be carefully considered during design optimization. Using at least five data points which cover over 40% of the upper part of the binding hyperbola (DPP > 0.57) the MUM will be minimized (MUM approximately 1.5) when the nMRR is appropriate. It is possible to reduce the measurement uncertainty propagation more than one order of magnitude.
Losers and prospectors in the short‐term options market
Authors: Chatrath Arjun , Christie‐David Rohan A. , Miao Hong , Ramchander Sanjay 
Published: January 2019

AbstractIntraday data for weekly options are investigated for behavioral biases implied in prospect theory (PT) and cumulative prospect theory (CPT). The results generally support both theories, with losers (winners) observed to be relatively risk‐seeking (averse). On aggregate, losers (winners) overprice (underprice) their contracts and overweight (underweight) the probability of winning. Additionally, the volatility smirk observed in equity options is dampened by PT/CPT biases. The price distortions are time sensitive, especially for losing traders. Losers hold out by transacting later in the day and closer to expiration than their baseline counterparts. This betting‐time effect is absent among winners.
Direct conversion of adult human skin fibroblasts into functional Schwann cells that achieve robust recovery of the severed peripheral nerve in rats
Authors: Kitada Masaaki , Murakami Toru , Wakao Shohei , Li Gen , Dezawa Mari 
Published: January 2019

AbstractDirect conversion is considered a promising approach to obtain tissue‐specific cells for cell therapies; however, this strategy depends on exogenous gene expression that may cause undesired adverse effects such as tumorigenesis. By optimizing the Schwann cell induction system, which was originally developed for trans‐differentiation of bone marrow mesenchymal stem cells into Schwann cells, we established a system to directly convert adult human skin fibroblasts into cells comparable to authentic human Schwann cells without gene introduction. Serial treatments with beta‐mercaptoethanol, retinoic acid, and finally a cocktail of basic fibroblast growth factor, forskolin, platelet‐derived growth factor‐AA, and heregulin‐β1 (EGF domain) converted fibroblasts into cells expressing authentic Schwann cell markers at an efficiency of approximately 75%. Genome‐wide gene expression analysis suggested the conversion of fibroblasts into the Schwann cell‐lineage. Transplantation of induced Schwann cells into severed peripheral nerve of rats facilitated axonal regeneration and robust functional recovery in sciatic function index comparable to those of authentic human Schwann cells. The contributions of induced Schwann cells to myelination of regenerated axons and re‐formation of neuromuscular junctions were also demonstrated. Our data clearly demonstrated that cells comparable to functional Schwann cells feasible for the treatment of neural disease can be induced from adult human skin fibroblasts without gene introduction. This direct conversion system will be beneficial for clinical applications to peripheral and central nervous system injuries and demyelinating diseases.
ErbB receptor signaling directly controls oligodendrocyte progenitor cell transformation and spontaneous remyelination after spinal cord injury
Authors: Bartus Katalin , Burnside Emily R. , Galino Jorge , James Nicholas D. , Bennett David L. H. , Bradbury Elizabeth J. 
Published: January 2019

AbstractWe recently discovered a novel role for neuregulin‐1 (Nrg1) signaling in mediating spontaneous regenerative processes and functional repair after spinal cord injury (SCI). We revealed that Nrg1 is the molecular signal responsible for spontaneous functional remyelination of dorsal column axons by peripheral nervous system (PNS)‐like Schwann cells after SCI. Here, we investigate whether Nrg1/ErbB signaling controls the unusual transformation of centrally derived progenitor cells into these functional myelinating Schwann cells after SCI using a fate‐mapping/lineage tracing approach. Specific ablation of Nrg1‐ErbB receptors in central platelet‐derived growth factor receptor alpha (PDGFRα)‐derived lineage cells (using PDGFRαCreERT2/Tomato‐red reporter mice crossed with ErbB3fl/fl/ErbB4fl/fl mice) led to a dramatic reduction in P0‐positive remyelination in the dorsal columns following spinal contusion injury. Central myelination, assessed by Olig2 and proteolipid protein expression, was unchanged. Loss of ErbB signaling in PDGFRα lineage cells also significantly impacted the degree of spontaneous locomotor recovery after SCI, particularly in tests dependent on proprioception. These data have important implications, namely (a) cells from the PDGFRα‐expressing progenitor lineage (which are presumably oligodendrocyte progenitor cells, OPCs) can differentiate into remyelinating PNS‐like Schwann cells after traumatic SCI, (b) this process is controlled by ErbB tyrosine kinase signaling, and (c) this endogenous repair mechanism has significant consequences for functional recovery after SCI. Thus, ErbB tyrosine kinase receptor signaling directly controls the transformation of OPCs from the PDGFRα‐expressing lineage into PNS‐like functional remyelinating Schwann cells after SCI.
The cancer‐related transcription factor RUNX2 modulates expression and secretion of the matricellular protein osteopontin in osteosarcoma cells to promote adhesion to endothelial pulmonary cells and lung metastasis
Authors: Villanueva Francisco , Araya Hector , Briceño Pedro , Varela Nelson , Stevenson Andres , Jerez Sofia , Tempio Fabian , Chnaiderman Jonas , Perez Carola , Villarroel Milena , Concha Emma , Khani Farzaneh , Thaler Roman , Salazar‐Onfray Flavio , Stein Gary S , van Wijnen Andre J. , Galindo Mario 
Published: January 2019

AbstractOsteosarcomas are bone tumors that frequently metastasize to the lung. Aberrant expression of the transcription factor, runt‐related transcription factor 2 (RUNX2), is a key pathological feature in osteosarcoma and associated with loss of p53 and miR‐34 expression. Elevated RUNX2 may transcriptionally activate genes mediating tumor progression and metastasis, including the RUNX2 target gene osteopontin (OPN/SPP1). This gene encodes a secreted matricellular protein produced by osteoblasts to regulate bone matrix remodeling and tissue calcification. Here we investigated whether and how the RUNX2/OPN axis regulates lung metastasis of osteosarcoma. Importantly, RUNX2 depletion attenuates lung metastasis of osteosarcoma cells in vivo. Using next‐generation RNA‐sequencing, protein‐based assays, as well as the loss‐ and gain‐of‐function approaches in selected osteosarcoma cell lines, we show that osteopontin messenger RNA levels closely correlate with RUNX2 expression and that RUNX2 controls the levels of secreted osteopontin. Elevated osteopontin levels promote heterotypic cell–cell adhesion of osteosarcoma cells to human pulmonary microvascular endothelial cells, but not in the presence of neutralizing antibodies. Collectively, these findings indicate that the RUNX2/OPN axis regulates the ability of osteosarcoma cells to attach to pulmonary endothelial cells as a key step in metastasis of osteosarcoma cells to the lung.
Dietary natural products as emerging lipoprotein(a)‐lowering agents
Authors: Momtazi‐Borojeni Amir Abbas , Katsiki Niki , Pirro Matteo , Banach Maciej , Rasadi Khalid Al , Sahebkar Amirhossein 
Published: January 2019

AbstractElevated plasma lipoprotein(a) (Lp(a)) levels are associated with an increased risk of cardiovascular disease (CVD). Hitherto, niacin has been the drug of choice to reduce elevated Lp(a) levels in hyperlipidemic patients but its efficacy in reducing CVD outcomes has been seriously questioned by recent clinical trials. Additional drugs may reduce to some extent plasma Lp(a) levels but the lack of a specific therapeutic indication for Lp(a)‐lowering limits profoundly reduce their use. An attractive therapeutic option is natural products. In several preclinical and clinical studies as well as meta‐analyses, natural products, including l‐carnitine, coenzyme Q
10, and xuezhikang were shown to significantly decrease Lp(a) levels in patients with Lp(a) hyperlipoproteinemia. Other natural products, such as pectin, Ginkgo biloba, flaxseed, red wine, resveratrol and curcuminoids can also reduce elevated Lp(a) concentrations but to a lesser degree. In conclusion, aforementioned natural products may represent promising therapeutic agents for Lp(a) lowering.
Assessment of anoxic volume ratio based on hydrolysis kinetics for effective nitrogen removal: model evaluation
Authors: Insel Guclu , Sözen Seval , Yucel Ayse Begum , Gökçekuş Hüseyin , Orhon Derin 
Published: January 2019

AbstractBACKGROUNDThe study aimed to set forth a model simulation approach for an accurate calculation of denitrification potential (NDP) and selection of appropriate anoxic volume (VD) in biological nitrogen removal. Simulations utilized the characteristics of a typical sewage and the model coefficients associated with a model structure that included all relevant microbial processes. They were carried out first for a fully anoxic reactor sustained with excess nitrogen and then for a pre‐denitrification system operated with different anoxic volume ratios (VD/VT) of 0.1–0.4 when the influent nitrogen (TKN) level was set as 57 and 85 mg N L−1.RESULTSWithout nitrate limitation, generated NDP could reach 37 mg N L−1 for VD/VT = 0.1 and gradually escalated to 56, 75 and 86 mg N L−1 when VD/VT was raised to 0.4. Results for the pre‐denitrification system showed the effect of nitrate limitation on both substrate removal and NDP levels: At VD/VT = 0.4, NDP associated with TKN = 85 mg N L−1 was approximately 60 mg N L−1, while it remained basically around 40 mg N L−1 with TKN = 57 mg N L−1. Simulation also indicated that the hydrolysis kinetics significantly affected NDP generation.CONCLUSIONSimulation results revealed that stoichiometric estimations always underestimated NDP, recommending unnecessarily high anoxic volumes, where the oxidized nitrogen was consumed within the 20–25% portion of the provided volume. The remaining volume fraction was then totally wasted since it was forced to operate under anaerobic conditions, with practically no useful microbial activity and negligible substrate utilization. © 2019 Society of Chemical Industry
State of the art: Evaluation and prognostication of myocarditis using cardiac MRI
Authors: Gannon Michael P. , Schaub Ebe , Grines Cindy L. , Saba Shahryar G. 
Published: January 2019

Myocarditis encompasses both primary and secondary processes causing inflammation of the myocardium. Viral infections are a common secondary cause of myocarditis with important clinical relevance. Viral myocarditis has a varied clinical presentation, potentially resulting in significant morbidity and mortality. Acutely, systolic dysfunction and sudden cardiac death may ensue; chronically, myocarditis may result in a dilated cardiomyopathy requiring heart transplantation. Myocarditis is thought to be one of the most common causes of myocardial infarction with nonobstructive coronary arteries (MINOCA), with important consequences for cardiovascular outcomes. Patients with myocarditis are currently underdiagnosed. Cardiac MRI has evolved as the noninvasive test of choice, with cardiac MRI‐specific diagnostic requirements defined in the Lake Louise Criteria (LLC). Detecting the presence of tissue edema, hyperemia, and necrosis in both acute and chronic stages form the foundation of the LLC. Cardiac MR for chronic myocarditis (greater than 8 weeks from symptom onset) has decreased sensitivity for diagnosis. Emerging sequences such as T1 and T2 parametric maps provide tissue characterization regarding inflammation without reliance on reference tissue, overcoming limitations of the LLC. Beyond diagnostic criteria, these imaging techniques have proven useful in further characterizing the diseased tissue, prognostication, and clinical decision‐making. This review describes the utility and evolving use of cardiac MRI in clinical practice.Level of Evidence: 1Technical Efficacy Stage: 5J. Magn. Reson. Imaging 2018;47:1061–1071.
MRI in autosomal dominant polycystic kidney disease
Authors: Zhang Weiguo , Blumenfeld Jon D. , Prince Martin R. 
Published: January 2019

Magnetic resonance imaging (MRI) is increasingly used in autosomal dominant polycystic kidney disease (ADPKD) for diagnosis, classification, assessment of disease progression and treatment response, and for identifying complications. Herein we review the role of MRI in the management of patients with ADPKD. We show how MRI‐derived total kidney volume is a biomarker for assessing ADPKD severity and predicting decline in renal function. We also demonstrate the MR appearances of common complications.Level of Evidence: 3Technical Efficacy Stage: 5J. Magn. Reson. Imaging 2019;50:41–51.
Finance pathways for young innovative small‐ and medium‐size enterprises: A demand‐side examination of finance gaps and policy implications for the post‐global financial crisis finance escalator
Authors: Owen Robyn , Deakins David , Savic Maja 
Published: January 2019

AbstractThe paper addresses the persistent finance gaps facing young, innovative SMEs, by examining the financing pathways of 40 UK businesses in a post global financial crisis (GFC) environment. Using a unique combination of finance escalator and resource‐based view theories four propositions are tested by examining: (i) early and growth stage development; (ii) innovation R&D investment horizons; (iii) the management resource base; (iv) finance gaps and their implications. The paper finds that successful financing strategies are emerging, using a mix of bootstrapping, collaboration and new emerging post‐GFC finance escalator funding, which is heavily reliant on government interventions. It also pinpoints remaining finance gaps and the need for more cohesive financing and support policy to address these.
Financing social enterprises and the demand for social investment
Authors: Lyon Fergus , Owen Robyn 
Published: January 2019

AbstractSocial investors are supplying increasing amounts of finance to enterprises combining social and commercial objectives although these social enterprises are still more likely to seek bank finance, suggesting that social investors should focus on market gaps which are more likely to occur for smaller, younger social enterprises that lack track record and collateral. Social enterprises offer innovative ways of combining social and commercial objectives and are only slightly less likely to seek repayable finance than other small and medium‐sized enterprises (SMEs), with younger social enterprises being more growth oriented and also more discouraged from borrowing. Where social enterprise borrowing takes place, it is almost three times more likely to be from commercial banks, rather than specialist social investment lenders that are more likely to invest without requiring collateral. Social investment lenders should therefore focus their offer on finance gaps left by banks, notably in earlier stage social enterprise development, rather than compete for existing commercial bank market share.