bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kappa but not delta or mu opioid receptors form homodimers at low membrane densities
Authors: Cechova Kristina , Lan Chenyang , Macik Matus , Barthes Nicolas P. F. , Jung Manfred , Ulbrich Maximilian H. 
Published: October 2021

AbstractOpioid receptors (ORs) have been observed as homo- and heterodimers, but it is unclear if the dimers are stable under physiological conditions, and whether monomers or dimers comprise the predominant fraction in a cell. Here, we use three live-cell imaging approaches to assess dimerization of ORs at expression levels that are 10–100 × smaller than in classical biochemical assays. At membrane densities around 25/µm2, a split-GFP assay reveals that κOR dimerizes, while µOR and δOR stay monomeric. At receptor densities < 5/µm2, single-molecule imaging showed no κOR dimers, supporting the concept that dimer formation depends on receptor membrane density. To directly observe the transition from monomers to dimers, we used a single-molecule assay to assess membrane protein interactions at densities up to 100 × higher than conventional single-molecule imaging. We observe that κOR is monomeric at densities < 10/µm2 and forms dimers at densities that are considered physiological. In contrast, µOR and δOR stay monomeric even at the highest densities covered by our approach. The observation of long-lasting co-localization of red and green κOR spots suggests that it is a specific effect based on OR dimerization and not an artefact of coincidental encounters.
SYL3-k increases style length and yield of F1 seeds via enhancement of endogenous GA4 content in Oryza sativa L. pistils
Authors: Dang Xiaojing , Zhang Yuanqing , Li Yulong , Chen Siqi , Liu Erbao , Fang Bingjie , Liu Qiangming , She Dong , Dong Zhiyao , Fan Zhilan , Li Dalu , Wang Hui , Zhu Shangshang , Hu Xiaoxiao , Li Yanhui , Jiang Jianhua , Hong Delin 
Published: October 2021

Abstract
Key message
SYL3-k allele increases the outcrossing rate of male sterile line and the yield of hybrid F1 seeds via enhancement of endogenous GA4 content in Oryza sativa L. pistils. The change in style length might be an adaptation of rice cultivation from south to north in the northern hemisphere.

Abstract
The style length (SYL) in rice is one of the major factors influencing the stigma exertion, which affects the outcross rate of male sterile line and the yield of hybrid F1 seeds. However, the biological mechanisms underlying SYL elongation remain elusive. Here, we report a map-based cloning and characterisation of the allele qSYL3-k. The qSYL3-k allele encodes a MADS-box family transcription factor, and it is expressed in various rice organs. The qSYL3-k allele increases SYL via the elongation of cell length in the style, which is associated with a higher GA4 content in the pistil. The expression level of OsGA3ox2 in pistils with qSYL3-k alleles is significantly higher than that in pistils with qSYL3-n allele on the same genome background of Nipponbare. The yield of F1 seeds harvested from plants with 7001SSYL3−k alleles was 16% higher than that from plants with 7001SSYL3−n allele. The sequence data at the qSYL3 locus in 136 accessions showed that alleles containing the haplotypes qSYL3AA, qSYL3AG, and qSYL3GA increased SYL, whereas those containing the haplotype qSYL3GG decreased it. The frequency of the haplotype qSYL3GG increases gradually from the south to north in the northern hemisphere. These findings will facilitate improvement in SYL and yield of F1 seeds henceforward.
Solutions to the Hull–Strominger System with Torus Symmetry
Authors: Fino Anna , Grantcharov Gueo , Vezzoni Luigi 
Published: October 2021

AbstractWe construct new smooth solutions to the Hull–Strominger system, showing that the Fu–Yau solution on torus bundles over K3 surfaces can be generalized to torus bundles over K3 orbifolds. In particular, we prove that, for $$13 \le k \le 22$$

13
≤
k
≤
22

and $$14\le r\le 22$$

14
≤
r
≤
22

, the smooth manifolds $$S^1\times \sharp _k(S^2\times S^3)$$

S
1

×

♯
k

(

S
2

×

S
3

)

and $$\sharp _r (S^2 \times S^4) \sharp _{r+1} (S^3 \times S^3)$$

♯
r

(

S
2

×

S
4

)

♯

r
+
1

(

S
3

×

S
3

)

, have a complex structure with trivial canonical bundle and admit a solution to the Hull–Strominger system.
Hotter droughts alter resource allocation to chemical defenses in piñon pine
Authors: Trowbridge Amy M. , Adams Henry D. , Collins Adam , Dickman Lee Turin , Grossiord Charlotte , Hofland Megan , Malone Shealyn , Weaver David K. , Sevanto Sanna , Stoy Paul C. , McDowell Nate G. 
Published: October 2021

AbstractHeat and drought affect plant chemical defenses and thereby plant susceptibility to pests and pathogens. Monoterpenes are of particular importance for conifers as they play critical roles in defense against bark beetles. To date, work seeking to understand the impacts of heat and drought on monoterpenes has primarily focused on young potted seedlings, leaving it unclear how older age classes that are more vulnerable to bark beetles might respond to stress. Furthermore, we lack a clear picture of what carbon resources might be prioritized to support monoterpene synthesis under drought stress. To address this, we measured needle and woody tissue monoterpene concentrations and physiological variables simultaneously from mature piñon pines (Pinus edulis) from a unique temperature and drought manipulation field experiment. While heat had no effect on total monoterpene concentrations, trees under combined heat and drought stress exhibited ~ 85% and 35% increases in needle and woody tissue, respectively, over multiple years. Plant physiological variables like maximum photosynthesis each explained less than 10% of the variation in total monoterpenes for both tissue types while starch and glucose + fructose measured 1-month prior explained ~ 45% and 60% of the variation in woody tissue total monoterpene concentrations. Although total monoterpenes increased under combined stress, some key monoterpenes with known roles in bark beetle ecology decreased. These shifts may make trees more favorable for bark beetle attack rather than well defended, which one might conclude if only considering total monoterpene concentrations. Our results point to cumulative and synergistic effects of heat and drought that may reprioritize carbon allocation of specific non-structural carbohydrates toward defense.
Do different growth rates of trees cause distinct habitat qualities for saproxylic assemblages?
Authors: Runnel Kadri , Stephan Jörg G. , Jonsell Mats , Kutser Kadi , Lõhmus Asko , Strengbom Joachim , Tamm Heidi , Ranius Thomas 
Published: October 2021

AbstractIn production forests, a common silvicultural objective is enhancing tree growth rates. The growth rate influences both mechanical and biochemical properties of wood, which may have an impact on dead wood inhabiting (i.e. saproxylic) species. In this study, we tested for the first time whether tree growth rates affect dead-wood associated assemblages in general and the occurrence of red-listed species in particular. We sampled saproxylic beetles (eclector traps) and fungi (DNA metabarcoding of wood samples) in dead trunks of Norway spruce (Picea abies), which had different growth rates within the same hemiboreal forests in Sweden. A high proportion of fungi showed a positive association to increasing tree growth. This resulted in higher fungal richness in fast-grown trees both at the trunk scale and across multiple studied trunks. Such patterns were not observed for saproxylic beetles. However, a set of species (both beetles and fungi) preferred slow-grown wood. Moreover, the total number of red-listed species was highest in slow-grown trunks. We conclude that dead wood from slow-grown trees hosts relatively fewer saproxylic species, but a part of these may be vulnerable to production forestry. It implies that slow-grown trees should be a target in nature conservation. However, where slow-grown trees are absent, for instance in forests managed for a high biomass production, increasing the volumes of dead wood from fast-grown trees may support many species.
Comparative activity of newer β-lactam/β-lactamase inhibitor combinations against Pseudomonas aeruginosa from patients hospitalized with pneumonia in European medical centers in 2020
Authors: Sader Helio S. , Carvalhaes Cecilia G. , Shortridge Dee , Castanheira Mariana 
Published: October 2021

Abstract
Pseudomonas aeruginosa isolates were consecutively collected from patients with pneumonia in 29 medical centers in 2020 and susceptibility tested by broth microdilution method. Ceftazidime-avibactam (95.5% susceptible), imipenem-relebactam (94.3% susceptible), and ceftolozane-tazobactam (93.3% susceptible) were the most active compounds after colistin (99.5% susceptible). Susceptibility rates for the β-lactam/β-lactamase inhibitor combinations (BL/BLIs) varied against isolates resistant to piperacillin-tazobactam, meropenem, imipenem, and/or ceftazidime. Ceftazidime-avibactam was the most active BL/BLI against resistant subsets from Western Europe, whereas imipenem-relebactam was slightly more active than other BL/BLIs against resistant subsets from Eastern Europe. Susceptibility rates were markedly lower in Eastern Europe than Western Europe.
ModelSet: a dataset for machine learning in model-driven engineering
Authors: López José Antonio Hernández , Cánovas Izquierdo Javier Luis , Cuadrado Jesús Sánchez 
Published: October 2021

AbstractThe application of machine learning (ML) algorithms to address problems related to model-driven engineering (MDE) is currently hindered by the lack of curated datasets of software models. There are several reasons for this, including the lack of large collections of good quality models, the difficulty to label models due to the required domain expertise, and the relative immaturity of the application of ML to MDE. In this work, we presentModelSet, a labelled dataset of software models intended to enable the application of ML to address software modelling problems. To create it we have devised a method designed to facilitate the exploration and labelling of model datasets by interactively grouping similar models using off-the-shelf technologies like a search engine. We have built an Eclipse plug-in to support the labelling process, which we have used to label 5,466 Ecore meta-models and 5,120 UML models with its category as the main label plus additional secondary labels of interest. We have evaluated the ability of our labelling method to create meaningful groups of models in order to speed up the process, improving the effectiveness of classical clustering methods. We showcase the usefulness of the dataset by applying it in a real scenario: enhancing the MAR search engine. We useModelSetto train models able to infer useful metadata to navigate search results. The dataset and the tooling are available athttps://figshare.com/s/5a6c02fa8ed20782935cand a live version athttp://modelset.github.io.
Matrix sketching for supervised classification with imbalanced classes
Authors: Falcone Roberta , Anderlucci Laura , Montanari Angela 
Published: October 2021

AbstractThe presence of imbalanced classes is more and more common in practical applications and it is known to heavily compromise the learning process. In this paper we propose a new method aimed at addressing this issue in binary supervised classification. Re-balancing the class sizes has turned out to be a fruitful strategy to overcome this problem. Our proposal performs re-balancing through matrix sketching. Matrix sketching is a recently developed data compression technique that is characterized by the property of preserving most of the linear information that is present in the data. Such property is guaranteed by the Johnson-Lindenstrauss’ Lemma (1984) and allows to embed an n-dimensional space into a reduced one without distorting, within an $$\epsilon $$
ϵ
-size interval, the distances between any pair of points. We propose to use matrix sketching as an alternative to the standard re-balancing strategies that are based on random under-sampling the majority class or random over-sampling the minority one. We assess the properties of our method when combined with linear discriminant analysis (LDA), classification trees (C4.5) and Support Vector Machines (SVM) on simulated and real data. Results show that sketching can represent a sound alternative to the most widely used rebalancing methods.
Cadophora luteo-olivacea isolated from apple (Malus domestica) fruit with post-harvest side rot symptoms in northern Italy
Authors: Amaral Carneiro Greice , Walcher Magdalena , Baric Sanja 
Published: October 2021

AbstractRecently, Cadophoraluteo-olivacea has been reported as a post-harvest pathogen of side rot of apple (Malusdomestica) in Latvia, and of pear (Pyruscommunis) in Italy and the Netherlands. In 2018 and 2019, in South Tyrol (northern Italy) 11 fungal cultures, identified as C.luteo-olivacea based on ITS (internal transcribed spacer region) sequence data, were obtained from apple fruit displaying post-harvest side rot symptoms. The fruit were sampled in packinghouses representing different apple growing areas of South Tyrol. For a more accurate taxonomic assignment, two additional molecular genetic loci, β-tubulin (TUB2) and translation elongation factor 1α (TEF-1α), of seven isolates were amplified and sequenced. Phylogenetic analysis based on multi-locus DNA sequence data confirmed that isolates from apple fruit with side rot symptoms indeed represented C.luteo-olivacea. A pathogenicity test performed on apple fruit of ‘Golden Delicious’ confirmed the virulence of a representative isolate. So far, C.luteo-olivacea represents a minor post-harvest pathogen of apple but considering the losses that this fungus can cause to other crops, the awareness about this potential apple disease should be raised.
Uncertainty Assessment for Very High Temperature Thermal Diffusivity Measurements on Molybdenum, Tungsten and Isotropic Graphite
Authors: Hay Bruno , Beaumont Olivier , Failleau Guillaume , Fleurence Nolwenn , Grelard Marc , Razouk Refat , Davée Guillaume , Hameury Jacques 
Published: October 2021

AbstractThe French National Metrology Institute LNE has improved its homemade laser flash apparatus in order to perform accurate and reliable measurements of thermal diffusivity of homogeneous solid materials at very high temperature. The inductive furnace and the associated infrared (IR) detection systems have been modified and a specific procedure for the in situ calibration of the used radiation thermometers has been developed. This new configuration of the LNE’s diffusivimeter has been then applied for measuring the thermal diffusivity of molybdenum up to 2200 °C, tungsten up to 2400 °C and isotropic graphite up to 3000 °C. Uncertainties associated with these high temperature thermal diffusivity measurements have been assessed for the first time according to the principles of the “Guide to the Expression of Uncertainty in Measurement” (GUM). Detailed uncertainty budgets are here presented in the case of the isotropic graphite for measurements performed at 1000 °C, 2000 °C and 3000 °C. The relative expanded uncertainty (coverage factor k = 2) of the thermal diffusivity measurement is estimated to be between 3 % and 5 % in the whole temperature range for the three investigated refractory materials.
Projection-Based Local and Global Lipschitz Moduli of the Optimal Value in Linear Programming
Authors: Cánovas M. J. , Gisbert M. J. , Klatte D. , Parra J. 
Published: October 2021

AbstractIn this paper, we use a geometrical approach to sharpen a lower bound given in [5] for the Lipschitz modulus of the optimal value of (finite) linear programs under tilt perturbations of the objective function. The key geometrical idea comes from orthogonally projecting general balls on linear subspaces. Our new lower bound provides a computable expression for the exact modulus (as far as it only depends on the nominal data) in two important cases: when the feasible set has extreme points and when we deal with the Euclidean norm. In these two cases, we are able to compute or estimate the global Lipschitz modulus of the optimal value function in different perturbations frameworks.
Evaluation of Digital Drawing Tests and Paper-and-Pencil Drawing Tests for the Screening of Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-analysis of Diagnostic Studies
Authors: Chan Joyce Y. C. , Bat Baker K. K. , Wong Adrian , Chan Tak Kit , Huo Zhaohua , Yip Benjamin H. K. , Kowk Timothy C. Y. , Tsoi Kelvin K. F. 
Published: October 2021

AbstractDigital drawing tests have been proposed for cognitive screening over the past decade. However, the diagnostic performance is still to clarify. The objective of this study was to evaluate the diagnostic performance among different types of digital and paper-and-pencil drawing tests in the screening of mild cognitive impairment (MCI) and dementia. Diagnostic studies evaluating digital or paper-and-pencil drawing tests for the screening of MCI or dementia were identified from OVID databases, included Embase, MEDLINE, CINAHL, and PsycINFO. Studies evaluated any type of drawing tests for the screening of MCI or dementia and compared with healthy controls. This study was performed according to PRISMA and the guidelines proposed by the Cochrane Diagnostic Test Accuracy Working Group. A bivariate random-effects model was used to compare the diagnostic performance of these drawing tests and presented with a summary receiver-operating characteristic curve. The primary outcome was the diagnostic performance of clock drawing test (CDT). Other types of drawing tests were the secondary outcomes. A total of 90 studies with 22,567 participants were included. In the screening of MCI, the pooled sensitivity and specificity of the digital CDT was 0.86 (95% CI = 0.75 to 0.92) and 0.92 (95% CI = 0.69 to 0.98), respectively. For the paper-and-pencil CDT, the pooled sensitivity and specificity of brief scoring method was 0.63 (95% CI = 0.49 to 0.75) and 0.77 (95% CI = 0.68 to 0.84), and detailed scoring method was 0.63 (95% CI = 0.56 to 0.71) and 0.72 (95% CI = 0.65 to 0.78). In the screening of dementia, the pooled sensitivity and specificity of the digital CDT was 0.83 (95% CI = 0.72 to 0.90) and 0.87 (95% CI = 0.79 to 0.92). The performances of the digital and paper-and-pencil pentagon drawing tests were comparable in the screening of dementia. The digital CDT demonstrated better diagnostic performance than paper-and-pencil CDT for MCI. Other types of digital drawing tests showed comparable performance with paper-and-pencil formats. Therefore, digital drawing tests can be used as an alternative tool for the screening of MCI and dementia.
Shared action: An existential phenomenological account
Authors: Knudsen Nicolai 
Published: October 2021

Abstract
Drawing on recent phenomenological discussions of collective intentionality and existential phenomenological accounts of agency, this article proposes a novel interpretation of shared action. First, I argue that we should understand action on the basis of how an environment pre-reflectively solicits agents to behave based on (a) the affordances or goals inflected by their abilities and dispositions and (b) their self-referential commitment to a project that is furthered by these affordances. Second, I show that this definition of action is sufficiently flexible to account for not only individual action (in which both (a) and (b) refer only to an individual) but also several distinct subtypes of shared action. My thesis is that behaviour counts as shared action if and only if it is caused by a solicitation in which either (a) the goals, or (b) the commitments, or both (a) goals and (b) commitments are joint, i.e., depend on several individuals. We thereby get three distinct subtypes of shared actions: (i) jointly coordinated individually committed action, (ii) individually coordinated jointly committed action, and (iii) jointly coordinated jointly committed action.
Decision-making in international organizations: institutional design and performance
Authors: Sommerer Thomas , Squatrito Theresa , Tallberg Jonas , Lundgren Magnus 
Published: October 2021

AbstractInternational organizations (IOs) experience significant variation in their decision-making performance, or the extent to which they produce policy output. While some IOs are efficient decision-making machineries, others are plagued by deadlock. How can such variation be explained? Examining this question, the article makes three central contributions. First, we approach performance by looking at IO decision-making in terms of policy output and introduce an original measure of decision-making performance that captures annual growth rates in IO output. Second, we offer a novel theoretical explanation for decision-making performance. This account highlights the role of institutional design, pointing to how majoritarian decision rules, delegation of authority to supranational institutions, and access for transnational actors (TNAs) interact to affect decision-making. Third, we offer the first comparative assessment of the decision-making performance of IOs. While previous literature addresses single IOs, we explore decision-making across a broad spectrum of 30 IOs from 1980 to 2011. Our analysis indicates that IO decision-making performance varies across and within IOs. We find broad support for our theoretical account, showing the combined effect of institutional design features in shaping decision-making performance. Notably, TNA access has a positive effect on decision-making performance when pooling is greater, and delegation has a positive effect when TNA access is higher. We also find that pooling has an independent, positive effect on decision-making performance. All-in-all, these findings suggest that the institutional design of IOs matters for their decision-making performance, primarily in more complex ways than expected in earlier research.
On the discovery and enactment of positive socio-ecological tipping points: insights from energy systems interventions in Bangladesh and Indonesia
Authors: Tàbara J. David , Lieu Jenny , Zaman Rafia , Ismail Cynthia , Takama Takeshi 
Published: October 2021

AbstractNotions, such as leverage points, sensitive interventions, social tipping points, transformational tipping points, and positive tipping points, are increasingly attracting attention within sustainability science. However, they are also creating confusion and unresolved questions about how to apply these concepts when dealing with urgent global challenges such as rapid decarbonisation. We propose a relational methodology aimed at helping how to identify and support the emergence of positive ‘Social-Ecological Tipping Points’ (SETPs) that could bring about sustainability transformations. Our approach emphasises the need to pay attention to processes of social construction and to time dynamics. In particular, in a given social-ecological system, three key moments need to be considered: (1) The building of transformative conditions and capacities for systemic change, (2) A tipping event or intervention shifting the system towards a different trajectory or systems’ configuration, and (3) the structural effects derived from such transformation. Furthermore, we argue that the discovery and enactment of positive SETPs require considering multiple ontological, epistemological, and normative questions that affect how researchers and change agents define, approach, and assess their systems of reference. Our insights are derived from examining the implementation of household renewable energy systems at regional level in two rural areas of Indonesia and Bangladesh.