bluuebunny/crossref_metadata_2025_split huggingface dataset:
High Concentrations of Very Long Chain Leaf Wax Alkanes of Thrips Susceptible Pepper Accessions (Capsicum spp)
Authors: Macel Mirka , Visschers Isabella G. S. , Peters Janny L. , van Dam Nicole M. , de Graaf Rob M. 
Published: October 2020

AbstractThe cuticular wax layer can be important for plant resistance to insects. Thrips (Frankliniella occidentalis) damage was assessed on 11 pepper accessions of Capsicum annuum and C. chinense in leaf disc and whole plant assays. Thrips damage differed among the accessions. We analyzed the composition of leaf cuticular waxes of these accessions by GC-MS. The leaf wax composition was different between the two Capsicum species. In C. annuum, 1-octacosanol (C28 alcohol) was the most abundant component, whereas in C. chinense 1-triacotanol (C30 alcohol) was the prominent. Thrips susceptible accessions had significantly higher concentrations of C25-C29n-alkanes and iso-alkanes compared to relatively resistant pepper accessions. The triterpenoids α- and ß-amyrin tended to be more abundant in resistant accessions. Our study suggests a role for very long chain wax alkanes in thrips susceptibility of pepper.
A Rapid Method to Measure Serum Retinol Concentrations in Japanese Black Cattle Using Multidimensional Fluorescence
Authors: Tamura Yoshio , Inoue Hiroki , Takemoto Satoshi , Hirano Kazuo , Miyaura Kazutoshi 
Published: October 2020

AbstractVitamin A levels in fattening Japanese Black cattle affect meat quality; therefore, it is important to monitor serum retinol concentrations. To simplify and accelerate the evaluation of serum retinol concentrations in cattle, we developed a new predictive method using excitation-emission matrix (EEM) fluorescence spectrophotometry. For analytical comparison, the concentration of serum retinol was also measured using the conventional HPLC method. We examined excitation (Ex) and emission (Em) wavelengths of cattle serum, which were 250–450 and 250–600 nm, respectively. Parallel factor analysis separated four components from EEM data, one of which was related to retinol. Next, a partial least square regression model was created using the obtained EEMs as explanatory variables and accrual measurement values as objective variables. The determination coefficient value (R2), root mean squared error of prediction (RMSEP), and the ratio of performance to deviation (RPD) of the model were determined. A comparison with reference values found that R2, RMSEP, and RPD of the calibration model were 0.95, 6.4 IU/dl, and 4.2, respectively. This implies that EEM can estimate the serum retinol concentration with high accuracy. Additionally, the fluorescent peaks that contributed to the calibration, which were extracted from the regression coefficient and variable importance in projection plots, were Ex/Em = 320/390 and 330/520 nm. Thus, we assume that this method observes not only free retinol, but also retinol-binding protein. In conclusion, multidimensional fluorescence analysis can accurately and quickly determine serum retinol concentrations in fattening cattle.
Beyond the U-Shape: Mapping the Functional Form Between Age and Life Satisfaction for 81 Countries Utilizing a Cluster Procedure
Authors: Bittmann Felix 
Published: October 2020

AbstractClassifying and explaining the causal and functional relationship between age and life satisfaction, especially in an international context, is still a major open question in demographics and happiness-research. Especially the debate whether to include sociodemographic control variables in these models has received much attention and deserves more discussion. The current contribution takes a cross-country perspective and attempts to sort countries into larger clusters, depending on their specific functional form. Using cross-sectional data from 81 countries with more than 170,000 respondents, the analyses demonstrate that there exist three larger clusters which display distinct functional relations (linear decline, U-shape, decline with a stable old-age period). Sociodemographic controls are not introduced since the total causal effect is to be estimated. Furthermore, the contribution explains cluster membership exploratively using macro indicators. While it becomes clear that countries with a linear decline are usually less developed countries, differences between the other two clusters are much less obvious.
Dealing with the Ups and Downs of Life: Positive Dispositions in Coping with Negative and Positive Events and Their Relationships with Well-Being Indicators
Authors: Fuochi Giulia , Voci Alberto 
Published: October 2020

AbstractIn a four-wave, longitudinal study (N = 323), we tested the relationships between five positive dispositions—mindfulness, self-compassion, gratitude, hedonism, and eudaimonism—and time-varying negative affect, positive affect, life satisfaction, and meaning in life. These relationships were tested while controlling for the ups and downs in life across three months, operationalized as the effects, for a respondent, of having experienced more frequent and intense positive and negative events compared to other individuals in the sample (inter-individual variation) and of having experienced more frequent and intense positive and negative events than usual for that person (intra-individual variation). We also tested the interactive effects between each disposition and intra-individual variation in the frequency and intensity of negative and positive events on well-being variables. Results, obtained through multilevel models with repeated observations nested in individuals, showed that each disposition had specific associations with well-being indicators, although stronger effects were detected for eudaimonism and, especially, self-compassion. Moderation analyses showed that: mindfulness and self-compassion buffered intra-individual variation in negative events; people scoring higher on hedonism, eudaimonism, and self-compassion showed less need to rely on positive events to experience positive emotions; experiencing a negative event that was more intense than usual was associated with higher meaning in life for people with high levels of eudaimonism. Overall, findings suggest that mindfulness, self-compassion, gratitude, hedonism, and eudaimonism build well-being through different channels. Positive interventions could benefit from mixing these healthy functioning strategies and considering their roles in reactions to events.
Working Together: Integrating Computational Modeling Approaches to Investigate Complex Phenomena
Authors: Bielik Tom , Fonio Ehud , Feinerman Ofer , Duncan Ravit Golan , Levy Sharona T. 
Published: October 2020

AbstractComplex systems are made up of many entities, whose interactions emerge into distinct collective patterns. Computational modeling platforms can provide a powerful means to investigate emergent phenomena in complex systems. Some research has been carried out in recent years about promoting students’ modeling practices, specifically using technologically advanced tools and approaches that allow students to create, manipulate, and test computational models. However, not much research had been carried out on the integration of several modeling approaches when investigating complex phenomena. In this paper, we describe the design principles used to develop a middle school unit about ants’ collective behavior that integrates three modeling approaches: conceptual drawn models, agent-based models, and system dynamics models. We provide results from an initial implementation of an 8th grade curricular unit, indicating that students engaged with several aspects of the modeling practice. Students’ conceptual knowledge about ant pheromone communication increased following learning the unit. We also found gains in students’ metamodeling knowledge about models as tools for investigating phenomena. We discuss the affordances and challenges of engaging students with several modeling approaches in science classroom.
Functional rather than structural connectivity explains grassland plant diversity patterns following landscape scale habitat loss
Authors: Kimberley Adam , Hooftman Danny , Bullock James M. , Honnay Olivier , Krickl Patricia , Lindgren Jessica , Plue Jan , Poschlod Peter , Traveset Anna , Cousins Sara A. O. 
Published: October 2020

AbstractContextFunctional connectivity is vital for plant species dispersal, but little is known about how habitat loss and the presence of green infrastructure interact to affect both functional and structural connectivity, and the impacts of each on species groups.ObjectivesWe investigate how changes in the spatial configuration of species-rich grasslands and related green infrastructure such as road verges, hedgerows and forest borders in three European countries have influenced landscape connectivity, and the effects on grassland plant biodiversity.MethodsWe mapped past and present land use for 36 landscapes in Belgium, Germany and Sweden, to estimate connectivity based on simple habitat spatial configuration (structural connectivity) and accounting for effective dispersal and establishment (functional connectivity) around focal grasslands. We used the resulting measures of landscape change to interpret patterns in plant communities.ResultsIncreased presence of landscape connecting elements could not compensate for large scale losses of grassland area resulting in substantial declines in structural and functional connectivity. Generalist species were negatively affected by connectivity, and responded most strongly to structural connectivity, while functional connectivity determined the occurrence of grassland specialists in focal grasslands. Restored patches had more generalist species, and a lower density of grassland specialist species than ancient patches.ConclusionsProtecting both species rich grasslands and dispersal pathways within landscapes is essential for maintaining grassland biodiversity. Our results show that increases in green infrastructure have not been sufficient to offset loss of semi-natural habitat, and that landscape links must be functionally effective in order to contribute to grassland diversity.
What is the Meaning of Proofs?
Authors: Ayhan Sara 
Published: October 2020

AbstractThe origins of proof-theoretic semantics lie in the question of what constitutes the meaning of the logical connectives and its response: the rules of inference that govern the use of the connective. However, what if we go a step further and ask about the meaning of a proof as a whole? In this paper we address this question and lay out a framework to distinguish sense and denotation of proofs. Two questions are central here. First of all, if we have two (syntactically) different derivations, does this always lead to a difference, firstly, in sense, and secondly, in denotation? The other question is about the relation between different kinds of proof systems (here: natural deduction vs. sequent calculi) with respect to this distinction. Do the different forms of representing a proof necessarily correspond to a difference in how the inferential steps are given? In our framework it will be possible to identify denotation as well as sense of proofs not only within one proof system but also between different kinds of proof systems. Thus, we give an account to distinguish a mere syntactic divergence from a divergence in meaning and a divergence in meaning from a divergence of proof objects analogous to Frege’s distinction for singular terms and sentences.
Surgical treatment and neurological outcome of infiltrating intramedullary astrocytoma WHO II–IV: a multicenter retrospective case series
Authors: Butenschoen Vicki M. , Hubertus Vanessa , Janssen Insa K. , Onken Julia , Wipplinger Christoph , Mende Klaus C. , Eicker Sven O. , Kehl Victoria , Thomé Claudius , Vajkoczy Peter , Schaller Karl , Gempt Jens , Meyer Bernhard , Wostrack Maria 
Published: October 2020

Abstract
Introduction
Primary malignant spinal astrocytomas present rare oncological entities with limited median survival and rapid neurological deterioration. Evidence on surgical therapy, adjuvant treatment, and neurological outcome is sparse. We aim to describe the treatment algorithm and clinical features on patients with infiltrating intramedullary astrocytomas graded WHO II–IV.

Methods
The following is a multicentered retrospective study of patients treated for spinal malignant glioma WHO II–IV in five high-volume neurosurgical departments from 2008 to 2019. Pilocytic astrocytomas were excluded. We assessed data on surgical technique, perioperative neurological status, adjuvant oncological therapy, and clinical outcome.

Results
40 patients were included (diffuse astrocytoma WHO II n = 11, anaplastic astrocytoma WHO III n = 12, WHO IV n = 17). Only 40% were functionally independent before surgery, most patients presented with moderate disability (47.5%). Most patients underwent a biopsy (n = 18, 45%) or subtotal tumor resection (n = 15, 37.5%), and 49% of the patients deteriorated after surgery. Patients with WHO III and IV tumors were treated with combined radiochemotherapy. Median overall survival (OS) was 46.5 months in WHO II, 25.7 months in WHO III, and 7.4 months in WHO IV astrocytomas. Preoperative clinical status and WHO significantly influenced the OS, and the extent of resection did not.

Conclusion
Infiltrating intramedullary astrocytomas WHO II–IV present rare entities with dismal prognosis. Due to the high incidence of surgery-related neurological impairment, the aim of the surgical approach should be limited to obtaining the histological tissue via a biopsy or, tumor debulking in cases with rapidly progressive severe preoperative deficits.
Extended Pharmacokinetic Model of the Intravitreal Injections of Macromolecules in Rabbits. Part 2: Parameter Estimation Based on Concentration Dynamics in the Vitreous, Retina, and Aqueous Humor
Authors: Lamminsalo Marko , Karvinen Timo , Subrizi Astrid , Urtti Arto , Ranta Veli-Pekka 
Published: October 2020

Abstract
Purpose
To estimate the diffusion coefficients of an IgG antibody (150 kDa) and its antigen-binding fragment (Fab; 50 kDa) in the neural retina (Dret) and the combined retinal pigment epithelium-choroid (DRPE-cho) with a 3-dimensional (3D) ocular pharmacokinetic (PK) model of the rabbit eye.

Methods
Vitreous, retina, and aqueous humor concentrations of IgG and Fab after intravitreal injection in rabbits were taken from Gadkar et al. (2015). A least-squares method was used to estimate Dret and DRPE-cho with the 3D finite element model where mass transport was defined with diffusion and convection. Different intraocular pressures (IOP), initial distribution volumes (Vinit), and neural retina/vitreous partition coefficients (Kret/vit) were tested. Sensitivity analysis was performed for the final model.

Results
With the final IgG model (IOP 10.1 Torr, Vinit 400 μl, Kret/vit 0.5), the estimated Dret and DRPE-cho were 36.8 × 10−9 cm2s−1 and 4.11 × 10−9 cm2s−1, respectively, and 76% of the dose was eliminated via the anterior chamber. Modeling of Fab revealed that a physiological model parameter “aqueous humor formation rate” sets constraints that need to be considered in the parameter estimation.

Conclusions
This study extends the use of 3D ocular PK models for parameter estimation using simultaneously macromolecule concentrations in three ocular tissues.
Associations among the communities of soil-borne pathogens, soil edaphic properties and disease incidence in the field pea root rot complex
Authors: Zitnick-Anderson Kimberly , del Río Mendoza Luis E. , Forster Shana , Pasche Julie S. 
Published: October 2020

Abstract
Background and aims
Field pea production is greatly impacted by multiple soil-borne fungal and oomycete pathogens in a complex. The objectives of this research were to 1) identify the soil-borne pathogens associated with field pea in North Dakota and; 2) develop prediction models incorporating the occurrence of the soil-borne pathogen communities, soil edaphic properties and disease incidence.

Methods
Soil and plants were sampled from 60 field pea fields in North Dakota during 2014 and 2015. Plants (1500 across two years) were rated for both root rot and soil-borne pathogens isolated from roots. Soils were analyzed for edaphic properties. Indicator species analysis was used to identify soil-borne pathogen communities. Logistic regression was used to determine associations and develop prediction models.

Results
Survey results from 2014 and 2015 indicated that the most prevalent soil-borne pathogens identified in field pea fields were Fusarium spp. and Aphanomyces euteiches. Five soil-borne pathogen communities were identified; three of which had statistically significant associations characterized by (1) Fusarium acuminatum, (3) A. euteiches, and (4) Fusarium sporotrichioides. The occurrence of the three communities were associated with clay content, soil pH, Fe2+, and K+. Disease incidence was associated with the presence of either community 1 or 3 and K+.

Conclusions
The results generated from this research will contribute to the development of management strategies by providing a soil-borne pathogen community prediction tool.
The Ethics of Economic Sanctions: Why Just War Theory is Not the Answer
Authors: Ellis Elizabeth 
Published: October 2020

AbstractOn 24 December 2017, the UN Security Council imposed its toughest sanctions yet on North Korea. The measures, intended to thwart nuclear ambitions, are some of the most extensive sanctions imposed in recent times. They place severe restrictions on the export of crude oil and refined petroleum to that state, ban the export of arms, dual use equipment, rocket fuel, natural gas, luxury goods and financial services, ban the import of coal, iron, gold, seafood and textiles from North Korea, and include asset freezes and travel bans for targeted individuals. Economic sanctions raise serious moral issues, not least because if properly enforced they can cause significant harm to their targets. How should we assess their moral permissibility? Several authors have pointed out analogies between economic sanctions and war and then applied the just war principles (just cause, proportionality, etc.) to the problem. This approach has faced little critical scrutiny. I argue that the straightforward application of just war principles to sanctions is misguided. There is a significant difference between war and economic sanctions: war is constituted by bombing, shooting or stabbing but economic sanctions are constituted by refusing to trade. While there is a strong pro tanto duty to not bomb, shoot or stab individuals, there is no comparable pro tanto duty to trade. That does not mean sanctions are always morally permissible, only that the moral issues involved are very different. We have no reason to believe that moral principles developed to govern war are also appropriate for governing sanctions. This approach to the ethics of economic sanctions ought to be abandoned.
Work, Domination, and the False Hope of Universal Basic Income
Authors: Lazar Orlando 
Published: October 2020

AbstractUniversal basic income (UBI) is increasingly proposed as a simple answer to the problem of domination at work—one policy whose knock-on effects will transform the balance of power between workers and employers. I argue against such ‘UBI-first’ approaches. Compared to UBI proposals for other purposes, a UBI sufficient or near-sufficient for minimising domination at work would be especially demanding in two ways. First, the level of the grant would be more demanding compared to UBIs suitable for other purposes, in order for workers to be able to credibly threaten to leave their jobs. Secondly, the maintenance of the grant must also meet strict criteria. The demanding level of the grant must be effectively secured against reduction, allowing workers to plan on its long-term acceptability; and in order to avoid increased state domination it must assume the status of an entitlement rather than a gift that may be withdrawn, through stabilisation against political change or some other means. These difficulties render UBI-first approaches doubtful at best, and an unhelpful distraction from other, more fruitful strategies at worst.
EHSMu: a New Ecohydrological Streamflow Model to Estimate Runoff in Urban Areas
Authors: Cristiano Elena , Deidda Roberto , Viola Francesco 
Published: October 2020

AbstractA conceptual lumped ecohydrological streamflow model (EHSMu) is presented as a promising tool to simulate runoff in urban catchments. The model, based on the interaction between a soil bucket and two linear reservoirs, enables also evapotranspiration and aquifer recharge to be estimated. Notwithstanding its minimalism, EHSMu describes interactions among soil moisture dynamics, hydrological fluxes and ecological processes. The model was calibrated and validated within two densely urbanized sub-basins in Charlotte (US). A Monte Carlo procedure is used to investigate the efficiency of random sets of 8 model parameters. Results show the high model performance (NSE = 0.72). The influence of land use change is evaluated, by varying the imperviousness and crop coefficients. Synthetic experiments show that increasing urbanization triggers a linear decrease in evapotranspiration and aquifer recharge, while it increases the fast runoff. An opposite response is achieved by installing vegetation with higher potential evapotranspiration, which would contribute to the actual evapotranspiration making up 50–55% of the total water balance.
Modeling n-alkane solubility in supercritical CO2 via intelligent methods
Authors: Songolzadeh Reza , Shahbazi Khalil , Madani Mohammad 
Published: October 2020

AbstractInjection of carbon dioxide is a familiar, cost-effective and influential technology of enhancing oil recovery whose application has been limited owing to the low n-alkane solubility in supercritical CO2. Thus, determining the amount of dissolved n-alkane in supercritical CO2 is of importance. Accordingly, in this study, least-squares support vector machine (LSSVM), tuned with two different optimizing algorithms, namely particle swarm optimization (PSO) and cross-validation-assisted Simplex algorithm (CV-Simplex), has been used for this simulation process. Based on the results, the predicted values for dissolved n-alkane mole fraction in supercritical CO2 by PSO–LSSVM model were quite in line with experimental data. Furthermore, the accuracy of these models was compared with Chrastil correlation. Absolute average relative error for PSO–LSSVM, CV-Simplex–LSSVM and Chrastil was calculated to be 3.88%, 13.49% and 18.22% for total dataset, respectively, which leaves PSO–LSSVM as the superior model with the highest accuracy. Finally, the statistical parameters of absolute average relative error, mean square error and determination coefficient equal to 3.88%, 0.0164 and 0.994 for total dataset, respectively, proved that PSO–LSSVM model is an efficient method that can predict n-alkane solubility in supercritical CO2 with high precision within 8.99–45.90 MPa pressure and 308.15–344.15 K temperature range.