bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural, Everyday Language Use Provides a Window Into the Integrity of Older Adults’ Executive Functioning
Authors: Polsinelli Angelina J , Moseley Suzanne A , Grilli Matthew D , Glisky Elizabeth L , Mehl Matthias R 
Published: April 2020

Abstract

Objectives
Language markers derived from structured clinical interviews and assessments have been found to predict age-related normal and pathological cognitive functioning. An important question, then, is the degree to which the language that people use in their natural daily interactions, rather than their language elicited within and specifically for clinical assessment, carries information about key cognitive functions associated with age-related decline. In an observational study, we investigated how variability in executive functioning (EF) manifests in patterns of daily word use.

Method
Cognitively normal older adults (n = 102; mean age 76 years) wore the electronically activated recorder, an ambulatory monitoring device that intermittently recorded short snippets of ambient sounds, for 4 days, yielding an acoustic log of their daily conversations as they naturally unfolded. Verbatim transcripts of their captured utterances were text-analyzed using linguistic inquiring and word count. EF was assessed with a validated test battery measuring WM, shifting, and inhibitory control.

Results
Controlling for age, education, and gender, higher overall EF, and particularly working memory, was associated with analytic (e.g., more articles and prepositions), complex (e.g., more longer words), and specific (e.g., more numbers) language in addition to other language markers (e.g., a relatively less positive emotional tone, more sexual and swear words).

Discussion
This study provides first evidence that the words older adults use in daily life provide a window into their EF.
Low-frequency noise attenuation in seismic and microseismic data using mathematical morphological filtering
Authors: Huang Weilin , Wang Runqiu , Zu Shaohuan , Chen Yangkang 
Published: April 2020

SUMMARYLow-frequency noise is one of the most common types of noise in seismic and microseismic data. Conventional approaches, such as the high-pass filtering method, utilize the low-frequency nature and distinguish between signal and noise based on their different frequency contents. However, conventional approaches are limited or even invalid when the signal and noise shares the same frequency band. Moreover, high-pass filtering method will suppress not only low-frequency noise but also low-frequency signal when they overlap in a same frequency band, which is extremely important in the inversion process for building the subsurface velocity model. To overcome the drawbacks of conventional high-pass filtering approach, we developed a novel method based on the mathematical morphology theorem to separate signal and noise using their differences in morphological scale. We extracted empirical relation between morphological scale and frequency band so that the mathematical morphology based approach can be conveniently used in low-frequency noise attenuation. The proposed method is termed as the mathematical morphological filtering (MMF) method. We compare the MMF approach with high-pass filtering and empirical mode decomposition (EMD) approaches using synthetic, reflection seismic and microseismic examples. The various examples demonstrate that the proposed MMF method can preserve more low-frequency signal than the high-pass filtering approach, and is more efficient and causes fewer artefacts than the EMD approach.
Plane-wave orthogonal polynomial transform for amplitude-preserving noise attenuation
Authors: Chen Yangkang , Huang Weilin , Zhou Yatong , Liu Wei , Zhang Dong 
Published: April 2020

SUMMARY
Amplitude-preserving data processing is an important and challenging topic in many scientific fields. The amplitude-variation details in seismic data are especially important because the amplitude variation is directly related with the subsurface wave impedance and fluid characteristics. We propose a novel seismic noise attenuation approach that is based on local plane-wave assumption of seismic events and the amplitude preserving capability of the orthogonal polynomial transform (OPT). The OPT is a way for representing spatially correlative seismic data as a superposition of polynomial basis functions, by which the random noise is distinguished from the useful energy by the high orthogonal polynomial coefficients. The seismic energy is the most correlative along the structural direction and thus the OPT is optimally performed in a flattened gather. We introduce in detail the flattening operator for creating the flattened dimension, where the OPT can be applied subsequently. The flattening operator is created by deriving a plane-wave trace continuation relation following the plane-wave equation. We demonstrate that both plane-wave trace continuation and OPT can well preserve the strong amplitude variation existing in seismic data. In order to obtain a robust slope estimation performance in the presence of noise, a robust slope estimation approach is introduced to substitute the traditional method. A group of synthetic, pre-stack and post-stack field seismic data are used to demonstrate the potential of the proposed framework in realistic applications.
Hydrodynamic Simulations of the Performance Landscape for Suction-Feeding Fishes Reveal Multiple Peaks for Different Prey Types
Authors: Olsson Karin H , Martin Christopher H , Holzman Roi 
Published: April 2020

Abstract
The complex interplay between form and function forms the basis for generating and maintaining organismal diversity. Fishes that rely on suction-feeding for prey capture exhibit remarkable phenotypic and trophic diversity. Yet the relationships between fish phenotypes and feeding performance on different prey types are unclear, partly because the morphological, biomechanical, and hydrodynamic mechanisms that underlie suction-feeding are complex. Here we demonstrate a general framework to investigate the mapping of multiple phenotypic traits to performance by mapping kinematic variables to suction-feeding capacity. Using a mechanistic model of suction-feeding that is based on core physical principles, we predict prey capture performance across a broad range of phenotypic trait values, for three general prey types: mollusk-like prey, copepod-like prey, and fish-like prey. Mollusk-like prey attach to surfaces, copepod-like prey attempt to escape upon detecting the hydrodynamic disturbance produced by the predator, and fish-like prey attempt to escape when the predator comes within a threshold distance. This approach allowed us to evaluate suction-feeding performance for any combination of six key kinematic traits, irrespective of whether these trait combinations were observed in an extant species, and to generate a multivariate mapping of phenotype to performance. We used gradient ascent methods to explore the complex topography of the performance landscape for each prey type, and found evidence for multiple peaks. Characterization of phenotypes associated with performance peaks indicates that the optimal kinematic parameter range for suction-feeding on different prey types are narrow and distinct from each other, suggesting different functional constraints for the three prey types. These performance landscapes can be used to generate hypotheses regarding the distribution of extant species in trait space and their evolutionary trajectories toward adaptive peaks on macroevolutionary fitness landscapes.
Optimal-order error estimates of finite element approximations to variable-order time-fractional diffusion equations without regularity assumptions of the true solutions
Authors: Zheng Xiangcheng , Wang Hong 
Published: April 2020

Abstract
We study a fully discretized finite element approximation to variable-order Caputo and Riemann–Liouville time-fractional diffusion equations (tFDEs) in multiple space dimensions, which model solute transport in heterogeneous porous media and related applications. We prove error estimates for the proposed methods, which are discretized on an equidistant or graded temporal partition predetermined by the behavior of the variable order at the initial time, only under the regularity assumptions of the variable order, coefficients and the source term but without any regularity assumption of the true solutions. Roughly, we prove that the finite element approximations to variable-order Caputo tFDEs have optimal-order convergence rates on a uniform temporal partition. In contrast the finite element approximations to variable-order Riemann–Liouville tFDEs discretized on a uniform temporal partition achieve an optimal-order convergence rate if $\alpha (0)=\alpha ^{\prime}(0) = 0$ but a suboptimal-order convergence rate if $\alpha (0)&gt;0$. In the latter case, optimal-order convergence rate can be proved by employing the graded temporal partition. We conduct numerical experiments to investigate the performance of the numerical methods and to verify the mathematical analysis.
Artificial intelligence: opportunities and implications for the health workforce
Authors: Hazarika Indrajit 
Published: April 2020

Abstract
Healthcare involves cyclic data processing to derive meaningful, actionable decisions. Rapid increases in clinical data have added to the occupational stress of healthcare workers, affecting their ability to provide quality and effective services. Health systems have to radically rethink strategies to ensure that staff are satisfied and actively supported in their jobs. Artificial intelligence (AI) has the potential to augment provider performance. This article reviews the available literature to identify AI opportunities that can potentially transform the role of healthcare providers. To leverage AI’s full potential, policymakers, industry, healthcare providers and patients have to address a new set of challenges. Optimizing the benefits of AI will require a balanced approach that enhances accountability and transparency while facilitating innovation.
Brown bear den characteristics and selection in eastern Transylvania, Romania
Authors: Faure Ulysse , Domokos Csaba , Leriche Agathe , Cristescu Bogdan 
Published: April 2020

Abstract
Dens are important for species that need to survive and reproduce during harsh winters. Brown bears (Ursus arctos) in Romania, listed by the European Union as a population of concern, use dens for several months each year. To date, few quantitative assessments of denning habitat have been carried out for this population or others in Europe. In 2008–2013 and 2015–2017, we used local knowledge and telemetry data from brown bears fitted with GPS collars to identify 115 winter dens and eight open ground nests used by bears in eastern Transylvania, Romania. We located most dens in mountainous areas (64%) and fewer in foothills (36%). Den entrances in mountainous areas were significantly narrower than entrances in foothills, likely due to the need for reduced thermal loss during more severe winters at higher elevations. We selected seven habitat characteristics (abiotic and biotic) and human-related covariates associated with known locations of dens and open nests to identify potential brown bear denning habitat using maximum entropy modeling. We found that terrain ruggedness was the single most important factor when predicting bear denning habitat. The habitat map derived from this study can be used in the future to safeguard bear denning areas from potential human disturbances.
A comparison of density estimation methods in plateau pika populations in an alpine meadow ecosystem
Authors: Wei Wanrong , He Jundong , Zheng Qiaoyan , He Yuli , Oosthuizen Maria K 
Published: April 2020

Abstract
Plateau pikas are a keystone species and ecosystem engineers in alpine meadow ecosystems. A number of surveying methods have been used to estimate pika density, but the reliability of these methods is not known. In addition, better population density methodologies allow for more reliable density estimates. We therefore compared the relationship among several commonly used methods of estimating pika relative density and the absolute density (AD) of pika populations. This relationship was investigated in summer and winter pastures to determine whether distribution pattern of the pikas (patchy or uniform) would influence this relationship. During August of 2015 and August of 2016, we measured the relative and absolute population density of pikas in an alpine meadow in the County, Gansu province, northwestern China. Relative density was measured with three indirect and direct methods: the total burrow density (TBD), the active burrow density (ABD), and the direct counting density (DCD) at the peak of pika activity. AD was assessed by removal sampling. Our results showed that the relative population density with all three survey methods was significantly related to the absolute population density. In particular, DCD at the peak of the pika activity showed the best correlation with AD. A simple linear model showed the effect of grazing time by livestock had a significant effect on TBD and ABD. These results imply that using DCD as a method to survey at the peak of the pika activity is more reliable than other methods.
Sustained Reductions in Children's Risk Taking from Peer-Communicated Behavioral Safety Norms
Authors: Morrongiello Barbara A , Weinberger Emily , Seasons Mackenzie 
Published: April 2020

Abstract

Objective
This research examined whether the positive effects of a peer-communicated social norm that reduces risk-taking behaviors persist over time and if a reminder of this peer-communicated safety message has any impact on this outcome.

Methods
Positive mood in 7- to 9-year olds was induced experimentally and risk taking intentions and behaviors were measured when the child was in a positive and neutral mood state and after they had been exposed to either a safety or neutral peer-communicated social norm message. A few weeks later, half of the participants who experienced the safety social norm message were exposed to a reminder of this message via a slogan and risk-taking measures were taken again when in a heightened positive mood state.

Results
Exposure to a safety norm successfully counteracted the increase in risk taking associated with a positive mood state. These effects persisted for several weeks regardless of whether the children were exposed to a reminder.

Conclusion
Manipulating peer social norms holds promise as an approach to produce reductions in children’s risk taking and these effects persist at least over several weeks.
A glutathione-dependent control of the indole butyric acid pathway supports Arabidopsis root system adaptation to phosphate deprivation
Authors: Trujillo-Hernandez José A , Bariat Laetitia , Enders Tara A , Strader Lucia C , Reichheld Jean-Philippe , Belin Christophe 
Published: April 2020

AbstractRoot system architecture results from a highly plastic developmental process to adapt to environmental conditions. In particular, the development of lateral roots and root hair growth are constantly optimized to the rhizosphere properties, including biotic and abiotic constraints. The development of the root system is tightly controlled by auxin, the driving morphogenic hormone in plants. Glutathione, a major thiol redox regulator, is also critical for root development but its interplay with auxin is scarcely understood. Previous work showed that glutathione deficiency does not alter root responses to indole acetic acid (IAA), the main active auxin in plants. Because indole butyric acid (IBA), another endogenous auxinic compound, is an important source of IAA for the control of root development, we investigated the crosstalk between glutathione and IBA during root development. We show that glutathione deficiency alters lateral roots and root hair responses to exogenous IBA but not IAA. Detailed genetic analyses suggest that glutathione regulates IBA homeostasis or conversion to IAA in the root cap. Finally, we show that both glutathione and IBA are required to trigger the root hair response to phosphate deprivation, suggesting an important role for this glutathione-dependent regulation of the auxin pathway in plant developmental adaptation to its environment.
Modified initial power spectrum and too big to fail problem
Authors: Kameli Hamed , Baghram Shant 
Published: April 2020

ABSTRACT
The galactic scale challenges of dark matter such as ‘missing satellite’ problem and ‘too big to fail’ problem are the main caveats of standard model of cosmology. These challenges could be solved either by implementing the complicated baryonic physics or it could be considered as an indication to a new physics beyond the standard model of cosmology. The modification of collisionless dark matter models or the standard initial conditions are two promising venues for study. In this work, we investigate the effects of the deviations from scale invariant initial curvature power spectrum on number density of dark matter haloes. We develop the non-Markov extension of the excursion set theory to calculate the number density of dark matter substructures and dark matter halo progenitor mass distribution. We show that the plausible solution to ‘too big to fail’ problem could be obtained by a Gaussian excess in initial power in the scales of k* ∼ 3 h Mpc−1 that is related to the mass scale of M* ∼ 1011 M⊙. We show that this deviation leads to the decrement of dark matter subhaloes in galactic scale, which is consistent with the current status of the non-linear power spectrum. Our proposal also has a prediction that the number density of Milky Way-type galaxies must be higher than the standard case.
Kidney disease pathways, options and decisions: an environmental scan of international patient decision aids
Authors: Winterbottom Anna E , Mooney Andrew , Russon Lynne , Hipkiss Vicki , Ziegler Lucy , Williams Richard , Finderup Jeanette , Bekker Hilary L 
Published: April 2020

Abstract

Background
Conservative management is recognized as an acceptable treatment for people with worsening chronic kidney disease; however, patients consistently report they lack understanding about their changing disease state and feel unsupported in making shared decisions about future treatment. The purpose of this review was to critically evaluate patient decision aids (PtDAs) developed to support patient–professional shared decision-making between dialysis and conservative management treatment pathways.

Methods
We performed a systematic review of resources accessible in English using environmental scan methods. Data sources included online databases of research publications, repositories for clinical guidelines, research projects and PtDAs, international PtDA expert lists and reference lists from relevant publications. The resource selection was from 56 screened records; 17 PtDAs were included. A data extraction sheet was applied to all eligible resources, eliciting resource characteristics, decision architecture to boost/bias thinking, indicators of quality such as International Standards for Patient Decision Aids Standards checklist and engagement with health services.

Results
PtDAs were developed in five countries; eleven were publically available via the Internet. Treatment options described were dialysis (n = 17), conservative management (n = 9) and transplant (n = 5). Eight resources signposted conservative management as an option rather than an active choice. Ten different labels across 14 resources were used to name ‘conservative management’. The readability of the resources was good. Six publications detail decision aid development and/or evaluation research. Using PtDAs improved treatment decision-making by patients. Only resources identified as PtDAs and available in English were included.

Conclusions
PtDAs are used by some services to support patients choosing between dialysis options or end-of-life options. PtDAs developed to proactively support people making informed decisions between conservative management and dialysis treatments are likely to enable services to meet current best practice.
Return to work interventions for chronic pain: a systematic review
Authors: Wegrzynek P A , Wainwright E , Ravalier J 
Published: April 2020

AbstractBackgroundChronic pain (CP) remains the second commonest reason for being off work. Tertiary return to work (RTW) interventions aim to improve psychological and physical capacity amongst workers already off sick. Their effectiveness for workers with CP is unclear.AimsTo explore which tertiary interventions effectively promote RTW for CP sufferers.MethodsWe searched eight databases for randomized controlled trials evaluating the effectiveness of tertiary RTW interventions for CP sufferers. We employed the Cochrane Risk of Bias (ROB) and methodological quality assessment tools for all included papers. We synthesized findings narratively. Meta-analysis was not possible due to heterogeneity of study characteristics.ResultsWe included 16 papers pertaining to 13 trials. The types, delivery format and follow-up schedules of RTW interventions varied greatly. Most treatments were multidisciplinary, comprising psychological, physical and workplace elements. Five trials reported that tertiary interventions with multidisciplinary elements promoted RTW for workers with CP compared to controls. We gave a high ROB rating for one or more assessment criteria to three out of the five successful intervention trials. Two had medium- and low-risk elements across all categories. One compared different intensity multidisciplinary treatment and one comprised work-hardening with a job coach. Seven trials found treatment effects for secondary outcomes but no RTW improvement.ConclusionsThere is no conclusive evidence to support any specific tertiary RTW intervention for workers with CP, but multidisciplinary efforts should be considered. Workers’ compensation is an important area for RTW policymakers to consider.
The Proline-Rich Family Protein EXTENSIN33 Is Required for Etiolated Arabidopsis thaliana Hypocotyl Growth
Authors: Zdanio Malgorzata , Boron Agnieszka Karolina , Balcerowicz Daria , Schoenaers Sébastjen , Markakis Marios Nektarios , Mouille Grégory , Pintelon Isabel , Suslov Dmitry , Gonneau Martine , Höfte Herman , Vissenberg Kris 
Published: April 2020

AbstractGrowth of etiolated Arabidopsis hypocotyls is biphasic. During the first phase, cells elongate slowly and synchronously. At 48 h after imbibition, cells at the hypocotyl base accelerate their growth. Subsequently, this rapid elongation propagates through the hypocotyl from base to top. It is largely unclear what regulates the switch from slow to fast elongation. Reverse genetics-based screening for hypocotyl phenotypes identified three independent mutant lines of At1g70990, a short extensin (EXT) family protein that we named EXT33, with shorter etiolated hypocotyls during the slow elongation phase. However, at 72 h after imbibition, these dark-grown mutant hypocotyls start to elongate faster than the wild type (WT). As a result, fully mature 8-day-old dark-grown hypocotyls were significantly longer than WTs. Mutant roots showed no growth phenotype. In line with these results, analysis of native promoter-driven transcriptional fusion lines revealed that, in dark-grown hypocotyls, expression occurred in the epidermis and cortex and that it was strongest in the growing part. Confocal and spinning disk microscopy on C-terminal protein-GFP fusion lines localized the EXT33-protein to the ER and cell wall. Fourier-transform infrared microspectroscopy identified subtle changes in cell wall composition between WT and the mutant, reflecting altered cell wall biomechanics measured by constant load extensometry. Our results indicate that the EXT33 short EXT family protein is required during the first phase of dark-grown hypocotyl elongation and that it regulates the moment and extent of the growth acceleration by modulating cell wall extensibility.