bluuebunny/crossref_metadata_2025_split huggingface dataset:
A radial histogenetic model of the mouse pallial amygdala
Authors: Garcia-Calero Elena , Martínez-de-la-Torre Margaret , Puelles Luis 
Published: June 2020

AbstractConventional anatomic models of the rodent (mammalian) amygdala are based on section planes oblique to its intrinsic radial glial organization. As a result, we still lack a model of amygdalar histogenesis in terms of radial units (progenitor domains and related radial migration and layering patterns). A radial model of the mouse pallial amygdala is first offered here, based on three logical steps: (1) analysis of amygdalar radial structure in variously discriminative genoarchitectonic material, using an optimal ad hoc section plane; (2) testing preliminary models with experiments labelling at the brain surface single packets of radial glia processes, to be followed into the ventricular surface across intervening predicted elements; (3) selection of 81 differential amygdalar gene markers and checking planar and radial aspects of their distribution across the model elements. This approach shows that subtle changes to the conventional schema of the amygdala allow a radial histogenetic model to be recognized, which is consistent with molecularly coded differential identities of its units and strata. It is expected that this model will help both causal studies of amygdalar developmental patterning and comparative evolutionary studies. It also may have potential impact on hodological and functional studies.
Snow-mediated plasticity does not prevent camouflage mismatch
Authors: Kumar Alexander V. , Zimova Marketa , Sparks James R. , Mills L. Scott 
Published: June 2020

AbstractGlobal reduction in snow cover duration is one of the most consistent and widespread climate change outcomes. Declining snow duration has severe negative consequences for diverse taxa including seasonally color molting species, which rely on snow for camouflage. However, phenotypic plasticity may facilitate adaptation to reduced snow duration. Plastic responses could occur in the color molt phenology or through behavior that minimizes coat color mismatch or its consequences. We quantified molt phenology of 200 wild snowshoe hares (Lepus americanus), and measured microhabitat choice and local snow cover. Similar to other studies, we found that hares did not show behavioral plasticity to minimize coat color mismatch via background matching; instead they preferred colder, snow free areas regardless of their coat color. Furthermore, hares did not behaviorally mitigate the negative consequences of mismatch by choosing resting sites with denser vegetation cover when mismatched. Importantly, we demonstrated plasticity in the initiation and the rate of the molt and established the direct effect of snow on molt phenology; greater snow cover was associated with whiter hares and this association was not due to whiter hares preferring snowier areas. However, despite the observed snow-mediated plasticity in molt phenology, camouflage mismatch with white hares on brown snowless ground persisted and was more frequent during early snowmelt. Thus, we find no evidence that phenotypic plasticity in snowshoe hares is sufficient to facilitate adaptive rescue to camouflage mismatch under climate change.
Soil Carbon Stocks Vary Across Geomorphic Settings in Australian Temperate Tidal Marsh Ecosystems
Authors: Gorham Connor , Lavery Paul , Kelleway Jeffrey J. , Salinas Cristian , Serrano Oscar 
Published: June 2020

AbstractTidal marshes rank among the ecosystems with the highest capacity to sequester and store organic carbon (Corg) on earth. To inform conservation of coastal vegetated ecosystems for climate change mitigation, this study investigated the factors driving variability in carbon storage. We estimated soil Corg stocks in tidal marshes across temperate Western Australia and assessed differences among geomorphic settings (marine and fluvial deltas, and mid-estuary) and vegetation type (Sarcocornia quinqueflora and Juncus kraussii) linked to soil biogeochemistry. Soil Corg stocks within fluvial and mid-estuary settings were significantly higher (209 ± 14 and 211 ± 20 Mg Corg ha−1, respectively; 1-m-thick soils) than in marine counterparts (156 ± 12 Mg Corg ha−1), which can be partially explained by higher preservation of soil Corg in fluvial and mid-estuary settings rich in fine-grained (< 0.063 mm) sediments (49 ± 3% and 47 ± 4%, respectively) compared to marine settings (23 ± 4%). Soil Corg stocks were not significantly different between S. quinqueflora and J. kraussii marshes (185 ± 13 and 202 ± 13 Mg Corg ha−1, respectively). The higher contribution of tidal marsh plus supratidal vegetation in fluvial (80%) and intermediate (76%) compared to marine (57%) settings further explains differences in soil Corg stocks. The estimated soil Corg stocks in temperate Western Australia’s tidal marshes (57 Tg Corg within ~ 3000 km2 extent) correspond to about 2% of worldwide tidal marsh soil Corg stocks. The results obtained identify global drivers of soil Corg storage in tidal marshes and can be used to target hot spots for climate change mitigation based on tidal marsh conservation.
The need for disruptive innovation in acute kidney injury
Authors: Doi Kent 
Published: June 2020

AbstractAcute kidney injury (AKI) is a threatening medical condition associated with poor outcomes at different settings. The development of standardized diagnostic criteria and new biomarkers addressed significant clinical impacts of AKI and the need for an early AKI detection, respectively. There have been some breakthroughs in understanding the pathogenesis of AKI through basic research; however, treatments against AKI aside from renal replacement therapy (RRT) have not shown adequate successful results. Biomarkers that could identify good responders to certain treatment are expected to facilitate translation of basic research findings. Most patients with severe AKI treated with RRT died due to multiple-organ failure, not renal dysfunction. Hence, it is essential to identify other organ dysfunctions induced by AKI as organ crosstalk. Also, a multidisciplinary approach of critical care nephrology is needed to evaluate a complex organ crosstalk in AKI. For disruptive innovation for AKI, we further explore these new aspects of AKI, which previously were considered outside the scope of nephrology.
On conformal submersions with geodesic or minimal fibers
Authors: Zawadzki Tomasz 
Published: June 2020

AbstractWe prove that every conformal submersion from a round sphere onto an Einstein manifold with fibers being geodesics is—up to an isometry—the Hopf fibration composed with a conformal diffeomorphism of the complex projective space of appropriate dimension. We also show that there are no conformal submersions with minimal fibers between manifolds satisfying certain curvature assumptions.
Interdisciplinarity in medical education research: myth and reality
Authors: Albert Mathieu , Rowland Paula , Friesen Farah , Laberge Suzanne 
Published: June 2020

AbstractThe medical education (Med Ed) research community characterises itself as drawing on the insights, methods, and knowledge from multiple disciplines and research domains (e.g. Sociology, Anthropology, Education, Humanities, Psychology). This common view of Med Ed research is echoed and reinforced by the narrative used by leading Med Ed departments and research centres to describe their activities as “interdisciplinary.” Bibliometrics offers an effective method of investigating scholarly communication to determine what knowledge is valued, recognized, and utilized. By empirically examining whether knowledge production in Med Ed research draws from multiple disciplines and research areas, or whether it primarily draws on the knowledge generated internally within the field of Med Ed, this article explores whether the characterisation of Med Ed research as interdisciplinary is substantiated. A citation analysis of 1412 references from research articles published in 2017 in the top five Med Ed journals was undertaken. A typology of six knowledge clusters was inductively developed. Findings show that the field of Med Ed research draws predominantly from two knowledge clusters: the Applied Health Research cluster (made of clinical and health services research), which represents 41% of the references, and the Med Ed research cluster, which represents 40% of the references. These two clusters cover 81% of all references in our sample, leaving 19% distributed among the other knowledge clusters (i.e., Education, disciplinary, interdisciplinary and topic centered research). The quasi-hegemonic position held by the Applied Health and Med Ed research clusters confines the other sources of knowledge to a peripheral role within the Med Ed research field. Our findings suggest that the assumption that Med Ed research is an interdisciplinary field is not convincingly supported by empirical data and that the knowledge entering Med Ed comes mostly from the health research domain.
Thalassoglobus polymorphus sp. nov., a novel Planctomycete isolated close to a public beach of Mallorca Island
Authors: Rivas-Marin Elena , Wiegand Sandra , Kallscheuer Nicolai , Jogler Mareike , Peeters Stijn H. , Heuer Anja , Jetten Mike S. M. , Boedeker Christian , Rohde Manfred , Devos Damien P. , Jogler Christian 
Published: June 2020

AbstractAccess to axenic cultures is crucial to extend the knowledge of the biology, lifestyle or metabolic capabilities of bacteria from different phyla. The phylum Planctomycetes is an excellent example since its members display an unusual cell biology and complex lifestyles. As a contribution to the current collection of axenic planctomycete cultures, here we describe strain Mal48T isolated from phytoplankton material sampled at the coast of S’Arenal close to Palma de Mallorca (Spain). The isolated strain shows optimal growth at pH 7.0–7.5 and 30 °C and exhibits typical features of Planctomycetes. Cells of the strain are spherical to pear-shaped, divide by polar budding with daughter cells showing the same shape as the mother cell, tend to aggregate, display a stalk and produce matrix or fimbriae. Strain Mal48T showed 95.8% 16S rRNA gene sequence similarity with the recently described Thalassoglobus neptunius KOR42T. The genome sequence of the novel isolate has a size of 6,357,355 bp with a G+C content of 50.3%. A total of 4874 protein-coding genes, 41 tRNA genes and 2 copies of the 16S rRNA gene are encoded in the genome. Based on phylogenetic, morphological and physiological analyses, we conclude that strain Mal48T (= DSM 100737T = LMG 29019T) should be classified as the type strain of a new species in the genus Thalassoglobus, for which the name Thalassoglobus polymorphus sp. nov. is proposed.
Online trajectory planning and control of a MAV payload system in dynamic environments
Authors: Potdar Nikhil D. , de Croon Guido C. H. E. , Alonso-Mora Javier 
Published: June 2020

AbstractMicro Aerial Vehicles (MAVs) can be used for aerial transportation in remote and urban spaces where portability can be exploited to reach previously inaccessible and inhospitable spaces. Current approaches for path planning of MAV swung payload system either compute conservative minimal-swing trajectories or pre-generate agile collision-free trajectories. However, these approaches have failed to address the prospect of online re-planning in uncertain and dynamic environments, which is a prerequisite for real-world deployability. This paper describes an online method for agile and closed-loop local trajectory planning and control that relies on Non-Linear Model Predictive Control and that addresses the mentioned limitations of contemporary approaches. We integrate the controller in a full system framework, and demonstrate the algorithm’s effectiveness in simulation and in experimental studies. Results show the scalability and adaptability of our method to various dynamic setups with repeatable performance over several complex tasks that include flying through a narrow opening and avoiding moving humans.
Identical Quantum Particles as Distinguishable Objects
Authors: Dieks Dennis , Lubberdink Andrea 
Published: June 2020

AbstractAccording to classical physics particles are basic building blocks of the world. These classical particles are distinguishable objects, individuated by unique combinations of physical properties. By contrast, in quantum mechanics the received view is that particles of the same kind (“identical particles”) are physically indistinguishable from each other and lack identity. This doctrine rests on the quantum mechanical (anti)symmetrization postulates together with the “factorist” assumption that each single particle is represented in exactly one factor space of the tensor product Hilbert space of a many-particle system. Even though standard in theoretical physics and the philosophy of physics, the assumption of factorism and the ensuing indistinguishability of particles are problematic. Particle indistinguishability is irreconcilable with the everyday meaning of “particle”, and also with how this term is used in the practice of physics. Moreover, it is a consequence of the standard view that identical quantum particles remain indistinguishable even in the classical limit, which makes a smooth transition to the classical particle concept impossible. Lubberdink (1998; 2009) and Dieks and Lubberdink (2011) have proposed an alternative conception of quantum particles that does not rely on factorism and avoids these difficulties. We further explain and discuss this alternative framework here. One of its key consequences is that particles in quantum theory are not fundamental but emergent; another that once they have emerged, quantum particles are always physically distinguishable and thus possess a physically grounded identity.
Non-destructive Testing of Metal-Polymer Laminates with a Digital Holographic Vibrometer
Authors: Nowak-Grzebyta Jagoda , Meijer Frans , Bula Karol , Stachowska Ewa 
Published: June 2020

AbstractThis paper presents the use of a digital holographic vibrometer to investigate metal-polymer laminates by non-destructive testing. A polymer strip was glued to a metal one of the same size. Connection defects could be detected by a local change of the vibration amplitude, even when hidden from view for the observer. The amplitudes of the oscillations excited in the samples were up to 40 nm. This method proved to be non-destructive, allowing the samples to be (re)used after testing, or being studied with other test methods.
Novel alternatively-spliced exons of the VRK2 gene in mouse brain and microglial cells
Authors: Almarzooq Salsabil , Kwon Jaedeok , Willis Ashleigh , Craig John , Morris Brian J. 
Published: June 2020

AbstractCommon sequence variations in the VRK2 gene contribute to genetic risk for various psychiatric diseases including schizophrenia and major depressive disorder. Despite the clear importance of studying the regulation and function of VRK2 for understanding the causes of these diseases, the organisation and expression of the gene remain poorly characterised. Using reverse-transcriptase-PCR, we have amplifed exons of Vrk2 mRNA from regions of mouse brain, and from different cell classes comprising neurones, astrocytes and microglial cells. We find that Vrk2 mRNA is expressed in all cell types, and that the splicing of the mouse Vrk2 gene is much more complex than previously appreciated. In addition to the predicted alternative splicing (absence/presence) of the penultimate 3 prime exon, we also detected a variety of 5 prime structures, including two novel exons spanning the first characterised exon (exon 1), which we term exons 1a and 1b. While expressed in neurones and astrocytes, exon 1b was not expressed in microglial cells. Expression of transcripts containing exon 1a in microglia was increased by immune stimulation. An additional truncated transcript lacking 7 central exons was also identified. As with the human gene, the results confirm complex patterns of alternative splicing which are likely to be relevant for understanding the physiological and pathological function of the gene in the CNS.
Occupational Closure and Wage Inequality: How Occupational Closure Effects Vary Between Workers
Authors: Giesecke Johannes , Groß Martin , Stuth Stefan 
Published: June 2020

AbstractOccupational closure continuously establishes, contests, or reinforces institutional boundaries around occupations. Occupational closure thereby interferes with wage-setting processes in the labor market. Recent research shows a substantial impact of occupational closure on wage determination processes in Germany. However, research on occupational closure is based on the assumption that all incumbents of an occupation benefit in the same way. We challenge this assumption by showing that occupational closure works differently for different workers. Using the 2006 sample of the German Structure of Earnings Survey, we distinguish nine worker profiles (three educational groups crossed with three career stages). For each of these profiles we investigate the effects of five closure sources (credentialism, standardization, licensure, representation by occupational associations, and unionization) on the expected mean wages of occupations, employing a two-step multilevel regression model. Our results show that occupational closure does indeed differ between workers. We can show that closure plays out differently throughout employees’ careers. For example, representation through occupational associations pays off the most as employees’ careers advance. Closure sources are unequally distributed across occupations and benefit employees with tertiary degrees more than employees with vocational qualifications. Credentialism also yields the largest advantages for workers with tertiary degrees regarding wage rents. However, our analyses also point to complex interactions between credentialism and standardization, demanding further research, to investigate the interplay between individual worker characteristics and the various sources of occupational closure.
Interior-point algorithm for sufficient LCPs based on the technique of algebraically equivalent transformation
Authors: Darvay Zsolt , Illés Tibor , Majoros Csilla 
Published: June 2020

AbstractWe present a short-step interior-point algorithm (IPA) for sufficient linear complementarity problems (LCPs) based on a new search direction. An algebraic equivalent transformation (AET) is used on the centrality equation of the central path system and Newton’s method is applied on this modified system. This technique was offered by Zsolt Darvay for linear optimization in 2002. Darvay first used the square root function as AET and in 2012 Darvay et al. applied this technique with an other transformation formed by the difference of the identity map and the square root function. We apply the AET technique with the new function to transform the central path equation of the sufficient LCPs. This technique leads to new search directions for the problem. We introduce an IPA with full Newton steps and prove that the iteration bound of the algorithm coincides with the best known one for sufficient LCPs. We present some numerical results to illustrate performance of the proposed IPA on two significantly different sets of test problems and compare it, with related, quite similar variants of IPAs.
Fast identification method for express end sorting label code based on convolutional recurrent neural network
Authors: Du Haiyan , Wu Chunxue , Wu Yan , Han Ren , Lin Xiao , Zhang Sheng 
Published: June 2020

AbstractIn the automatic sorting process of express, the express end sorting label code is used to indicate that the express is dispatched to a specific address by a specific courier. Since there are many areas on the express bill containing digital information, some areas may be improperly photographed, etc. The difficulty in positioning and recognizing the express end sorting label code region is increased. To solve this problem, this paper proposes an express end sorting label code recognition method with convolutional recurrent neural network for the code specification, which has certain versatility. In order to improve the overall code recognition speed, this paper optimizes the traditional digital recognition method, removes the original segmentation operation of the character and recognizes the code as sequence recognition. Firstly, the coding region is located, and then, the express end sorting label code is recognized by the convolutional recurrent neural network. In order to test the experimental performance, this paper tests on Free-Type dataset and SUN-synthesized dataset. The experimental results show that the proposed method improves the recognition accuracy and processing speed of the express end sorting label code.
Lessons Learned from Faecal Microbiota Transplantation in Cirrhosis
Authors: Hatton Grace B. , Ran Shaolu , Tranah Thomas H. , Shawcross Debbie L. 
Published: June 2020

AbstractPurpose of ReviewWe examine recent developments in the treatment of cirrhosis by gut microbiome manipulation specifically focusing on the phase 1 safety and feasibility trials of faecal microbiota transplantation (FMT). We interrogate the published data so far on its feasibility, safety and efficacy.Recent FindingsA large number of trials have demonstrated the efficacy of FMT in treating recurrentClostridium difficileinfection which is now considered standard of care. In cirrhosis, FMT is still being evaluated and there are a number of clinical trials underway. There are two phase 1 pilot safety studies that have been published with promising findings. However, the importance of rigorously testing donor stool for the presence of multi-drug resistant species has been highlighted and lessons have been learned.SummaryFor those patients with cirrhosis, replacing an unhealthy gut microbiome with a healthy one offers a promising antibiotic-free treatment that may reduce bacterial translocation and endotoxemia.
Initial droplet conditions in numerical spray painting by electrostatic rotary bell sprayers
Authors: Guettler Nico , Knee Philipp , Ye Qiaoyan , Tiedje Oliver 
Published: June 2020

AbstractIn computational fluid dynamics, the modeling of paint application processes by electrostatic rotary bell sprayer is mostly performed using an Euler–Lagrange approach. The initial conditions of the discrete phase—position, velocity, size, and charge—have an essential influence on the resulting film thickness distribution and the total charge transferred to the object. Typically, so-called injection models are used to specify these initial conditions, whereby the determination of the injection model coefficients is crucial. In this paper, a framework is proposed that combines experimental input data, an injection model, and a metamodel-based optimization. The painting tests for the generation of input and validation data were carried out in a technical center in the industrial standard. The simulations were performed using ANSYSFluent. Initial droplet conditions could efficiently be determined via the framework so that the painting-specific objectives were achieved with reasonable accuracy. In addition to the framework, a turbulence study of the strongly swirled shaping air of this atomizer was carried out, whereby a substantial underestimation of the axial air velocity was found in the turbulence models being investigated. The initial droplet conditions were also used in this study to draw conclusions about the accuracy of the airflow simulation. The proposed framework can be adapted to other solvers and efficiently finds injection model coefficients for other paint applicators.