bluuebunny/crossref_metadata_2025_split huggingface dataset:
The early pattern of human corpus callosum development: A transvaginal 3D neurosonographic study
Authors: Birnbaum Roee , Barzilay Ran , Brusilov Michael , Wolman Igal , Malinger Gustavo 
Published: May 2020

AbstractObjectiveTo provide an in‐vivo description of early corpus callosum (CC) development.MethodsWe reviewed 3D US volumes acquired transvaginally (TVUS) through the anterior fontanelle, between 14 to 17 weeks. The following landmarks were recognized: tela‐choroidea (TC), foramina of Moro, early CC and the evolving cavum septi pellucidi. The following measurements were taken: total, anterior and posterior sections, and height of the CC (referenced to the anterior TC border). All measurements were correlated to both the gestational age and the transverse cerebellar diameter (TCD).ResultsEighty nine volumes were included in the study (mean 15.1 weeks ± 0.84, TCD range, 13.1‐18.4 mm) with high inter and intra observer correlation of the measurements. We found high correlation between CC length and height, and TCD. The anterior segment of the CC appear earlier than the posterior one, and growth continues bi‐directionally. Initially, the posterior elongation is significantly larger than the anterior one. Association of all CC measurements with TCD remained significant when co‐varying for maternal age and fetal sex.Conclusionsimaging the fetal CC is feasible from 14 weeks by TVUS, by following the suggested insonation approach. The early CC develops bi‐directionally, and the posterior elongation is more significant than the anterior one.
DrawAlignR: An Interactive Tool for Across Run Chromatogram Alignment Visualization
Authors: Gupta Shubham , Sing Justin , Mahmoodi Arshia , Röst Hannes 
Published: May 2020

AbstractMulti‐run alignment is widely used in proteomics to establish analyte correspondence across runs. Generally alignment algorithms return a cumulative score, which may not be easily interpretable for each peptide. Here a novel and interactive tool for cross‐run chromatogram alignment visualization (DrawAlignR) of data‐independent acquisition (DIA) data is presented. Furthermore, a novel C++ based implementation of raw chromatogram alignment which is 35 times faster than the previously published algorithm is developed. This not only enables users to plot alignment interactively by DrawAlignR, but also allows other software platforms to use the algorithm. DrawAlignR is an open‐source web application using R Shiny that can be hosted using the source‐code available at https://github.com/Roestlab/DrawAlignR
Structure dynamics reveal key residues essential for the sense of 1‐dodecanol by Cydia pomonella pheromone binding protein 2 (CpomPBP2)
Authors: Tian Zhen , Li Yue , Zhou Tong , Ye Xuan , Li Ruichi , Liu Jiyuan 
Published: May 2020

AbstractBACKGROUNDCydia pomonella, a worldwide quarantine fruit pest, causes great damage to fruit production every year. Sex pheromone‐mediated control of C. pomonella has been widely used. As an indispensable ingredient of commercial sex attractants, 1‐dodecanol (Dod) works to synergize the effect of codlemone in attracting male moths of C. pomonella. The interactions between Dod and its transporter protein, C. pomonella pheromone‐binding protein 2 (CpomPBP2), provide inspiration for chemical optimizations to improve the synergistic effects of Dod.RESULTSIn this research, molecular simulations and biological verifications were used in combination to uncover key residues in CpomPBP2 essential for sensing Dod. After performing 150 ns molecular dynamics (MD) simulations, the C1–C12 chain of Dod was found to be locked by the van der Waals energy contributed by the hydrophobic residues Phe12, Leu68, and Ile113, whereas the ‐OH part of Dod was anchored by the H‐bond derived from Glu98 and the salt‐bridge derived from Arg109. Because of the importance of these two electrostatic interactions, Glu98 and Arg109 were further verified as key residues in determining the binding affinity between Dod and CpomPBP2. In addition, interactions unfavorable to the binding of Dod were described.CONCLUSIONThe research detailed the discovery of key residues involved in CpomPBP2–Dod interactions. Our results provide guidance and caution for the prospective discovery, optimization, and design of novel chemicals with a similar or stronger synergistic effect to codlemone in controlling C. pomonella.
Ankothrips, the most ancient extant thrips genus (Thysanoptera, Melanthripidae)
Authors: Nel Patricia , Schubnel Thomas , Perrichot Vincent , Nel André 
Published: May 2020

AbstractTwo fossil representatives of the extant genus Ankothrips are described from French amber, namely, the Late Cretaceous Ankothrips dupeae sp. nov., from Vendean amber, and the earliest Eocene Ankothrips deploegi sp. nov., from Oise amber. We discuss the differences between the middle Eocene Baltic amber genus Archankothrips and Ankothrips, concluding that the two genera are extremely similar with only one significant difference in male specimens. The disjunctive distribution of the extant species along with the presence of one Late Cretaceous species strongly suggest an Early Cretaceous origin for Ankothrips. The genus is therefore very ancient and has had a remarkable morphological stability for the last 94 million years. This situation is unique among the Cretaceous thrips, and rare among insects (only c. 3% of the genera in the well‐documented mid‐Cretaceous Burmese amber are still extant). We propose some hypotheses that could explain the stability of Ankothrips through time.
Eigenfrequency constrained topology optimization of finite strain hyperelastic structures
Authors: Dalklint Anna , Wallin Mathias , Tortorelli Daniel A. 
Published: May 2020

AbstractThis paper incorporates hyperelastic materials, nonlinear kinematics, and preloads in eigenfrequency constrained density–based topology optimization. The formulation allows for initial finite deformations and subsequent small harmonic oscillations. The optimization problem is solved by the method of moving asymptotes, and the gradients are calculated using the adjoint method. Both simple and degenerate eigenfrequencies are considered in the sensitivity analysis. A well-posed topology optimization problem is formulated by filtering the volume fraction field. Numerical issues associated with excessive distortion and spurious eigenmodes in void regions are reduced by removing low volume fraction elements. The optimization objective is to maximize stiffness subject to a lower bound on the fundamental eigenfrequency. Numerical examples show that the eigenfrequencies drastically change with the load magnitude, and that the optimization is able to produce designs with the desired fundamental eigenfrequency.
A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems
Authors: Yi Jin , Shen Yichi , Shoemaker Christine A. 
Published: May 2020

AbstractThis paper presents a multi-fidelity RBF (radial basis function) surrogate-based optimization framework (MRSO) for computationally expensive multi-modal optimization problems when multi-fidelity (high-fidelity (HF) and low-fidelity (LF)) models are available. The HF model is expensive and accurate while the LF model is cheaper to compute but less accurate. To exploit the correlation between the LF and HF models and improve algorithm efficiency, in MRSO, we first apply the DYCORS (dynamic coordinate search algorithm using response surface) algorithm to search on the LF model and then employ a potential area detection procedure to identify the promising points from the LF model. The promising points serve as the initial start points when we further search for the optimal solution based on the HF model. The performance of MRSO is compared with 6 other surrogate-based optimization methods (4 are using a single-fidelity surrogate and the rest 2 are using multi-fidelity surrogates). The comparisons are conducted on a multi-fidelity optimization test suite containing 10 problems with 10 and 30 dimensions. Besides the benchmark functions, we also apply the proposed algorithm to a practical and computationally expensive capacity planning problem in manufacturing systems which involves discrete event simulations. The experimental results demonstrate that MRSO outperforms all the compared methods.
Autoantibodies against cytokines: phenocopies of primary immunodeficiencies?
Authors: Ku Chen-Lung , Chi Chih-Yu , von Bernuth Horst , Doffinger Rainer 
Published: May 2020

AbstractAnti-cytokine autoantibodies may cause immunodeficiency and have been recently recognized as ‘autoimmune phenocopies of primary immunodeficiencies’ and are found in particular, but not exclusively in adult patients. By blocking the cytokine’s biological function, patients with anti-cytokine autoantibodies may present with a similar clinical phenotype as the related inborn genetic disorders. So far, autoantibodies to interferon (IFN)-γ, GM-CSF, to a group of TH-17 cytokines and to IL-6 have been found to be causative or closely associated with susceptibility to infection. This review compares infectious diseases associated with anti-cytokine autoantibodies with primary immunodeficiencies affecting similar cytokines or related pathways.
Leaf area and pubescence drive sedimentation on leaf surfaces during flooding
Authors: Kretz Lena , Seele Carolin , van der Plas Fons , Weigelt Alexandra , Wirth Christian 
Published: May 2020

AbstractWorldwide, stream water is increasingly loaded with sediments and nutrients, due to processes such as accelerated soil erosion and overfertilization caused by agricultural intensification. This leads to increases in eutrophication and silting up of bottom sediments. Floodplains can play an important role in mitigating these problems, by removing sediment from rivers via water filtration and retention. Fine sediment is accumulated on the soil in between plants as well as on plant surfaces. However, it is still poorly understood how plant species facilitate leaf surface sedimentation via their leaf traits. In a flume experiment, we investigated to what extent the leaf traits (area, length, perimeter, pinnation, pubescence, surface roughness, flexibility and wettability) influence leaf surface sedimentation. We exposed leaves of 30 plant species to an artificial flood, and measured the fine sediment load the leaves captured after 24 h. Our results show that leaf traits overall explain 65% of the variation of fine sedimentation on leaves. Especially adaxial pubescence and leaf area strongly drove sedimentation. Hairy leaves accumulate more sediment per leaf area, presumably, because hairs create a buffer zone of reduced flow velocity which enhances sedimentation between the hairs. Additionally, for leaves with no or few hairs, sedimentation decreased with increasing leaf area, because most likely the more turbulent boundary layer of larger leaves allows less sediment to settle. Our results provide a first understanding of how plants can be selected based on their leaf traits for maximizing the sediment retention on floodplains, thereby providing a key ecosystem service.
Anxiety, depression and psychosocial needs are the most frequent concerns reported by patients: preliminary results of a comparative explorative analysis of two hospital-based palliative care teams in Germany and Japan
Authors: van Oorschot Birgitt , Ishii Koji , Kusomoto Yuko , Overbeck Lea , Zetzl Theresa , Roch Carmen , Mettenleiter Andreas , Ozawa Hiroko , Flentje Michael 
Published: May 2020

AbstractIn the partnership between the medical departments of Würzburg University, Germany, and Nagasaki University, Japan, palliative care is a relevant topic. The aim of the study was to perform a comparative analysis of the hospital-based palliative care teams in Würzburg (PCT-W) and Nagasaki (PCT-N). Survey of staff composition and retrospective analysis of PCT patient charts in both PCTs were conducted. Patients self-assessed their symptoms in PCT-W and in Radiation Oncology Würzburg (RO-W). The (negative) quality indicator ‘percentage of deceased hospitalised patients with PCT contact for less than 3 days before death’ (Earle in Int J Qual Health Care 17(6):505–509, 2005) was analysed. Both PCTs follow a multidisciplinary team approach. PCT-N saw 410 cancer patients versus 853 patients for PCT-W (22.8% non-cancer patients). The Eastern Cooperative Oncology Group Performance Status at first contact with PCT-N was 3 or 4 in 39.3% of patients versus 79.0% for PCT-W. PCT-N was engaged in co-management longer than PCT-W (mean 20.7 days, range 1–102 versus mean 4.9 days, range 1–48). The most frequent patient-reported psychological symptom was anxiety (family anxiety: 98.3% PCT-W and 88.7% RO-W, anxiety 97.9% PCT-W and 85.9% RO-W), followed by depression (98.2% PCT-W and 80.3% RO-W). In 14 of the 148 deceased patients, PCT-N contact was initiated less than 3 days before death (9.4%) versus 121 of the 729 deceased PCT-W patients (16.6%). Psychological needs are highly relevant in both Germany and Japan, with more than 85% anxiety and depression in patients in the Japanese IPOS validation study (Sakurai in Jpn J Clin Oncol 49(3):257–262, 2019). This should be taken into account when implementing PCTs.
A Comparison of the ASEBA Adult Self Report (ASR) and the Brief Problem Monitor (BPM/18-59)
Authors: de Vries Lianne P. , van de Weijer Margot P. , Ligthart Lannie , Willemsen Gonneke , Dolan Conor V. , Boomsma Dorret I. , Baselmans Bart M. L. , Bartels Meike 
Published: May 2020

AbstractThe adult self report (ASR) is a well-validated instrument with multiple scales relating to adult psychopathology. Recently, an 18-item version has been introduced, the brief problem monitor (BPM) to measure Internalizing behavior (INT), Externalizing behavior (EXT), and attention problems (ATT). The present study compared the BPM and ASR and investigated how well the BPM can serve as a supplement or an alternative for the ASR for specific clinical and scientific purposes. In a large sample of adult twins (N = 9.835) from the Netherlands Twin Register (NTR), we compared the internal consistency, clinical classification concordance, means, and variances of the ASR and BPM. Using the classical twin design, we investigated the genetic covariance structure. For external validation, the associations between subjective well-being and different subscales of the ASR and BPM were compared. The internal consistency of the BPM scales (around α = 0.75) was somewhat lower than the ASR (α ~ 0.85). The BPM Externalizing scale showed the lowest internal consistency (α = 0.63). ASR and BPM scores showed good clinical classification concordance (0.61–0.80) and high correlations (r > 0.88). A small reversed sex difference in the BPM Externalizing scale appeared (women > men). Genetic (0.34–0.54) and environmental components (0.46–0.66) explained the variance to a similar extent for the ASR and BPM. The phenotypic and genetic associations with well-being were comparable. In situations where sum scores are sufficient, the BPM performs as well as the longer ASR. Depending on the situation and goal, it is worth considering the BPM as an alternative for the ASR to reduce the participant burden.
Effect of wind speed on the level of particulate matter PM10 concentration in atmospheric air during winter season in vicinity of large combustion plant
Authors: Cichowicz Robert , Wielgosiński Grzegorz , Fetter Wojciech 
Published: May 2020

AbstractThe concentrations of suspended particulate matter PM10 in two-month winter period, i.e. December–January in years 2009–2015, were analyzed in relation to the values of wind speed in that time. It was possible to analyze results of air pollution measurements performed in the measuring station from the perspective of their higher levels in winter seasons (so-called smog episodes). Results from 3 stations of the Regional Inspectorate for Environmental Protection in Poznań (WIOŚ Poznań) served for better presentation of smog episodes in the region (black smog) and aimed at verification of correctness of the measurements of pollution immission in the monitoring station in Piotrkowice which is situated in vicinity of large combustion plant. The analysis confirmed that with low speeds of wind higher values of particulate matter PM10 were observed. The results of the analysis also show the displacement of pollutants according to the current wind direction or their local persistence for a longer time over one area.
Taste, traits, and tendencies
Authors: Dinges Alexander , Zakkou Julia 
Published: May 2020

AbstractMany experiential properties are naturally understood as dispositions such that e.g. a cake tastes good to you iff you are disposed to get gustatory pleasure when you eat it. Such dispositional analyses, however, face a challenge. It has been widely observed that one cannot properly assert “The cake tastes good to me” unless one has tried it. This acquaintance requirement is puzzling on the dispositional account because it should be possible to be disposed to like the cake even if this disposition has never been manifested. We argue that familiar response strategies on behalf of the dispositionalist fail. These include appeals to conversational implicatures, expressivism, semantic presuppositions and norms of assertion. Against this background, we propose a new analysis in terms of what we call tendencies, where a tendency is a disposition that has been manifested. The acquaintance requirement comes out as an entailment. We point out a hitherto unnoticed parallel to sentences ascribing character traits such as “Hannah is brave,” and extend our tendency-based analysis to this domain.
How to generalize from a hierarchical model?
Authors: Pachali Max J. , Kurz Peter , Otter Thomas 
Published: May 2020

AbstractModels of consumer heterogeneity play a pivotal role in marketing and economics, specifically in random coefficient or mixed logit models for aggregate or individual data and in hierarchical Bayesian models of heterogeneity. In applications, the inferential target often pertains to a population beyond the sample of consumers providing the data. For example, optimal prices inferred from the model are expected to be optimal in the population and not just optimal in the observed, finite sample. The population model, random coefficients distribution, or heterogeneity distribution is the natural and correct basis for generalizations from the observed sample to the market. However, in many if not most applications standard heterogeneity models such as the multivariate normal, or its finite mixture generalization lack economic rationality because they support regions of the parameter space that contradict basic economic arguments. For example, such population distributions support positive price coefficients or preferences against fuel-efficiency in cars. Likely as a consequence, it is common practice in applied research to rely on the collection of individual level mean estimates of consumers as a representation of population preferences that often substantially reduce the support for parameters in violation of economic expectations. To overcome the choice between relying on a mis-specified heterogeneity distribution and the collection of individual level means that fail to measure heterogeneity consistently, we develop an approach that facilitates the formulation of more economically faithful heterogeneity distributions based on prior constraints. In the common situation where the heterogeneity distribution comprises both constrained and unconstrained coefficients (e.g., brand and price coefficients), the choice of subjective prior parameters is an unresolved challenge. As a solution to this problem, we propose a marginal-conditional decomposition that avoids the conflict between wanting to be more informative about constrained parameters and only weakly informative about unconstrained parameters. We show how to efficiently sample from the implied posterior and illustrate the merits of our prior as well as the drawbacks of relying on means of individual level preferences for decision-making in two illustrative case studies.
Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons
Authors: Jylhä Henrietta , Hamari Juho 
Published: May 2020

AbstractGraphical user interfaces are widely common and present in everyday human–computer interaction, dominantly in computers and smartphones. Today, various actions are performed via graphical user interface elements, e.g., windows, menus and icons. An attractive user interface that adapts to user needs and preferences is progressively important as it often allows personalized information processing that facilitates interaction. However, practitioners and scholars have lacked an instrument for measuring user perception of aesthetics within graphical user interface elements to aid in creating successful graphical assets. Therefore, we studied dimensionality of ratings of different perceived aesthetic qualities in GUI elements as the foundation for the measurement instrument. First, we devised a semantic differential scale of 22 adjective pairs by combining prior scattered measures. We then conducted a vignette experiment with random participant (n = 569) assignment to evaluate 4 icons from a total of pre-selected 68 game app icons across 4 categories (concrete, abstract, character and text) using the semantic scales. This resulted in a total of 2276 individual icon evaluations. Through exploratory factor analyses, the observations converged into 5 dimensions of perceived visual quality: Excellence/Inferiority, Graciousness/Harshness, Idleness/Liveliness, Normalness/Bizarreness and Complexity/Simplicity. We then proceeded to conduct confirmatory factor analyses to test the model fit of the 5-factor model with all 22 adjective pairs as well as with an adjusted version of 15 adjective pairs. Overall, this study developed, validated, and consequently presents a measurement instrument for perceptions of visual qualities of graphical user interfaces and/or singular interface elements (VISQUAL) that can be used in multiple ways in several contexts related to visual human-computer interaction, interfaces and their adaption.