bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healthful grain foods consumption by São Paulo residents: a 12-year analysis and future trends
Authors: Fontanelli Mariane de M , Sales Cristiane H , Castro Michelle A de , Fisberg Regina M 
Published: July 2020

AbstractObjective:Understanding trends in grain consumption is essential to tackle the low consumption of healthful grain foods. This study aimed to evaluate trends and determinants of grain foods meeting the ≤10:1 carbohydrate:fibre ratio (≤10:1 ratio) in Brazil and to estimate this intake for the next years.Design:Three editions of the cross-sectional, population-based study Health Survey of São Paulo (2003, 2008 and 2015).Setting:Urban area of São Paulo, Brazil.Participants:The sample included 5801 participants aged 12 years or more.Results:A growing trend in the intake of these foods (0·9 percentage of energy (%E) in 2003 to 1·5 %E in 2015) was observed. Also, the proportion of the population consuming at least one grain food meeting the ≤10:1 ratio increased from 8·7 % in 2003 to 15·8 % in 2015, and 20·3 % of the population would be consuming some kind of healthful grain food by 2030. Sociodemographic factors associated with the consumption of grain foods meeting the ≤10:1 ratio changed according to study edition, but overall, older individuals (+79 %), females (+28 %), those with higher education (+138 %) and higher family income (+135 %) were more likely to consume grain foods meeting the ratio, whereas participants who self-reported black, brown or indigenous ethnicity were less likely to consume these foods (–30 %).Conclusions:There was a growing trend to consume grain foods meeting the ≤10:1 ratio from 2003 to 2015, but this consumption continues to be far from recommended levels. Intersectoral changes are urgently needed in order to increase the intake of healthful grain foods.
What's in a name: the etymology of astrobiology
Authors: Lingam Manasvi , Loeb Abraham 
Published: July 2020

AbstractAstrobiology has been gaining increasing scientific prominence and public attention as the search for life beyond Earth continues to make significant headway on multiple fronts. In view of these recent developments, the fascinating and dynamic etymology of astrobiology is elucidated, and thus shown to encompass a plethora of vivid characters drawn from different continents, religions, ideologies and centuries.
The development of a parent–child activity based on the principles of perceptual control theory
Authors: Churchman Anamaria , Mansell Warren , Tai Sara 
Published: July 2020

AbstractProblems most frequently reported by young people in school counselling relate to family difficulties. During adolescence, conflict between parents and young people increases as young people move towards independence whilst still being reliant on parents. The quality of communication during this period has implications for young people’s well-being. The current study explored how the principles of perceptual control theory (PCT) could be used to develop a structured activity aimed at helping young people to talk to their parents about their goals and goal conflicts.PCT proposes that individuals function well when they are able to control things that are important to them. Every individual has numerous goals/wants and if two or more are incompatible, conflict arises. The current study focused on supporting young people to explore conflict that might arise due to incompatible goals held by them and their parent. Six families (child and parent/carer) were recruited to try a goal-setting and monitoring activity. The activity was facilitated by a Method of Levels researcher over a 10-week period. There were two follow-up appointments at 2 and 4 months. Two families were retained for the entire study. On completion, four families provided qualitative feedback. On the basis of participants’ feedback, the activity was modified to incorporate discussions on incompatible goals. Two families piloted the modified activity and provided feedback. Both families completed the study. Results suggest that a parent–child activity using the principles of PCT is feasible and acceptable among parents and young people.Key learning aims(1)To understand how the principles of PCT can be used to support young people in communicating with their parents.(2)To understand how talking about important goals/wants impacts young people and their parents.(3)To understand how the principles of PCT can be used to resolve parent–child conflict.
Scotch broom (Cytisus scoparius) germination and growth responses to light: implications for logging debris retention after forest harvesting
Authors: Harrington Timothy B. 
Published: July 2020

AbstractScotch broom [Cytisus scoparius (L.) Link] is a large nonnative, leguminous shrub that threatens native plant communities by rapidly invading recently disturbed sites, competing vigorously for soil water and nutrients, and imparting soil legacy effects that inhibit native plants. In the Pacific Northwest, logging debris retention after forest harvesting prevents or slows C. scoparius invasions. A series of studies were conducted to determine potential mechanisms by which logging debris modifies the light environment to limit germination and growth of C. scoparius. In laboratory studies, seed germination did not vary significantly (P > 0.05): (1) between presence and absence of light for several temperature regimes, (2) when exposed to red (660-nm wavelength) versus far-red (730-nm wavelength) light, and (3) across a range of red/far-red light (R/FR) ratios. These results indicate that modification of the light environment by logging debris or plant canopies has little or no influence on C. scoparius germination. In a study to simulate effects of variable mass of logging debris, “heavy” debris (2 kg m−2) caused biologically relevant reductions in photosynthetic photon flux density (PPFD) and R/FR relative to conditions under “light” debris (1 kg m−2). Cytisus scoparius germination did not differ significantly between simulated heavy and light debris; however, values of seedling root and shoot biomass under heavy debris were 16% and 71% of those observed under light debris, respectively. These results indicate that heavy debris limits biomass of C. scoparius seedlings, particularly roots, by reducing both PPFD and R/FR, which increases seedling vulnerability to summer drought or other stressors. Retention of heavy logging debris after forest harvesting has potential application on sites likely to be invaded by C. scoparius, as well as those sites with seedbanks containing C. scoparius.
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
Authors: Toms Benjamin A. , Barnes Elizabeth A. , Ebert‐Uphoff Imme 
Published: July 2020

AbstractNeural networks have become increasingly prevalent within the geosciences, although a common limitation of their usage has been a lack of methods to interpret what the networks learn and how they make decisions. As such, neural networks have often been used within the geosciences to most accurately identify a desired output given a set of inputs, with the interpretation of what the network learns used as a secondary metric to ensure the network is making the right decision for the right reason. Neural network interpretation techniques have become more advanced in recent years, however, and we therefore propose that the ultimate objective of using a neural network can also be the interpretation of what the network has learned rather than the output itself. We show that the interpretation of neural networks can enable the discovery of scientifically meaningful connections within geoscientific data. In particular, we use two methods for neural network interpretation called backward optimization and layerwise relevance propagation, both of which project the decision pathways of a network back onto the original input dimensions. To the best of our knowledge, LRP has not yet been applied to geoscientific research, and we believe it has great potential in this area. We show how these interpretation techniques can be used to reliably infer scientifically meaningful information from neural networks by applying them to common climate patterns. These results suggest that combining interpretable neural networks with novel scientific hypotheses will open the door to many new avenues in neural network‐related geoscience research.
Drivers of Marine Heatwaves in the East China Sea and the South Yellow Sea in Three Consecutive Summers During 2016–2018
Authors: Gao Guandong , Marin Maxime , Feng Ming , Yin Baoshu , Yang Dezhou , Feng Xingru , Ding Yang , Song Dehai 
Published: July 2020

AbstractIn 3 consecutive years from 2016 to 2018, extreme ocean warming events, or marine heatwaves (MHWs), occurred during boreal summers in the East China Sea (ECS) and South Yellow Sea (SYS), which is unprecedented in the past four decades based on the satellite record. In this study, we used a high‐resolution hydrodynamic model based on Finite Volume Community Ocean Model (FVCOM) to simulate the evolution of these warming events. An upper ocean temperature budget (0–20 m) analysis based on the model results shows that the shortwave radiation and the ocean advection anomalies jointly contributed to the anomalous warming in the three successive summers (June–August) in the SYS and the north part of the ECS. In addition, the reduction of surface wind speeds during the 2016 and 2017 summers further weakened the vertical mixing, thereby enhancing the anomalous warming in the north part of the ECS adjacent to the SYS. During the three summers, the increases of shortwave radiation were closely related to the East Asian Summer Monsoon (EASM) variability, which reduced the cloud cover in the ECS and SYS, whereas the advection anomalies were mostly associated with regional wind anomalies. In summer 2018, upper ocean heat was transported into the central trough of the SYS, accumulated in an anticyclonic eddy generated by the anomalous wind stress curls. Therefore, despite the primary driver of the MHWs is the EASM variation, regional processes are critical to driving the spatial pattern of the MHW intensity in the ECS and SYS.
A framework for assessing neuropsychiatric phenotypes by using smartphone-based location data
Authors: Jongs Niels , Jagesar Raj , van Haren Neeltje E. M. , Penninx Brenda W. J. H. , Reus Lianne , Visser Pieter J. , van der Wee Nic J. A. , Koning Ina M. , Arango Celso , Sommer Iris E. C. , Eijkemans Marinus J. C. , Vorstman Jacob A. , Kas Martien J. 
Published: July 2020

AbstractThe use of smartphone-based location data to quantify behavior longitudinally and passively is rapidly gaining traction in neuropsychiatric research. However, a standardized and validated preprocessing framework for deriving behavioral phenotypes from smartphone-based location data is currently lacking. Here, we present a preprocessing framework consisting of methods that are validated in the context of geospatial data. This framework aims to generate context-enriched location data by identifying stationary, non-stationary, and recurrent stationary states in movement patterns. Subsequently, this context-enriched data is used to derive a series of behavioral phenotypes that are related to movement. By using smartphone-based location data collected from 245 subjects, including patients with schizophrenia, we show that the proposed framework is effective and accurate in generating context-enriched location data. This data was subsequently used to derive behavioral readouts that were sensitive in detecting behavioral nuances related to schizophrenia and aging, such as the time spent at home and the number of unique places visited. Overall, our results indicate that the proposed framework reliably preprocesses raw smartphone-based location data in such a manner that relevant behavioral phenotypes of interest can be derived.
Impact of dual-layer solid-electrolyte interphase inhomogeneities on early-stage defect formation in Si electrodes
Authors: Chen Chunguang , Zhou Tao , Danilov Dmitri L. , Gao Lu , Benning Svenja , Schön Nino , Tardif Samuel , Simons Hugh , Hausen Florian , Schülli Tobias U. , Eichel R.-A. , Notten Peter H. L. 
Published: July 2020

AbstractWhile intensive efforts have been devoted to studying the nature of the solid-electrolyte interphase (SEI), little attention has been paid to understanding its role in the mechanical failures of electrodes. Here we unveil the impact of SEI inhomogeneities on early-stage defect formation in Si electrodes. Buried under the SEI, these early-stage defects are inaccessible by most surface-probing techniques. With operando full field diffraction X-ray microscopy, we observe the formation of these defects in real time and connect their origin to a heterogeneous degree of lithiation. This heterogeneous lithiation is further correlated to inhomogeneities in topography and lithium-ion mobility in both the inner- and outer-SEI, thanks to a combination of operando atomic force microscopy, electrochemical strain microscopy and sputter-etched X-ray photoelectron spectroscopy. Our multi-modal study bridges observations across the multi-level interfaces (Si/LixSi/inner-SEI/outer-SEI), thus offering novel insights into the impact of SEI homogeneities on the structural stability of Si-based lithium-ion batteries.
Radioisotopes demonstrate changes in global atmospheric circulation possibly caused by global warming
Authors: Terzi Lucrezia , Wotawa Gerhard , Schoeppner Michael , Kalinowski Martin , Saey Paul R. J. , Steinmann Philipp , Luan Lan , Staten Paul W. 
Published: July 2020

AbstractIn this paper, we present a new method to study global atmospheric processes and their changes during the last decade. A cosmogenic radionuclide measured at ground-level, beryllium-7, is utilized as a proxy to study atmospheric dynamics. Beryllium-7 has two advantages: First, this radionuclide, primarily created in the lower stratosphere, attaches to aerosols that are transported downwards to the troposphere and travel around the globe with the general atmospheric circulation. By monitoring these particles, we can provide a global, simple, and sustainable way to track processes such as multi-annual variation of the troposphere, tropopause heightening, position and speed of atmospheric interface zones, as well as the poleward movement and stalling patterns of jet streams. Second, beryllium-7 is a product of cosmic rays which are themselves directly linked to solar activity and the earth magnetic field. This study shows whether beryllium-7 observed concentration changes are correlated with such natural processes or independent of them. Our work confirms that major changes in the atmospheric circulation are currently ongoing, even though timeseries are too short to make climatological assessments. We provide solid evidence of significant and progressive changes of the global atmospheric circulation as well as modifications of tropopause heights over the past decade. As the last decade happened to be the warmest on record, this analysis also indicates that the observed changes are, at least to some extent, attributable to global warming.
Collective Dynamics of Model Pili-Based Twitcher-Mode Bacilliforms
Authors: Nagel Andrew M. , Greenberg Michael , Shendruk Tyler N. , de Haan Hendrick W. 
Published: July 2020

AbstractPseudomonas aeruginosa, like many bacilliforms, are not limited only to swimming motility but rather possess many motility strategies. In particular, twitching-mode motility employs hair-like pili to transverse moist surfaces with a jittery irregular crawl. Twitching motility plays a critical role in redistributing cells on surfaces prior to and during colony formation. We combine molecular dynamics and rule-based simulations to study twitching-mode motility of model bacilliforms and show that there is a critical surface coverage fraction at which collective effects arise. Our simulations demonstrate dynamic clustering of twitcher-type bacteria with polydomains of local alignment that exhibit spontaneous correlated motions, similar to rafts in many bacterial communities.
Femtosecond laser produced periodic plasma in a colloidal crystal probed by XFEL radiation
Authors: Mukharamova Nastasia , Lazarev Sergey , Meijer Janne-Mieke , Gorobtsov Oleg Yu. , Singer Andrej , Chollet Matthieu , Bussmann Michael , Dzhigaev Dmitry , Feng Yiping , Garten Marco , Huebl Axel , Kluge Thomas , Kurta Ruslan P. , Lipp Vladimir , Santra Robin , Sikorski Marcin , Song Sanghoon , Williams Garth , Zhu Diling , Ziaja-Motyka Beata , Cowan Thomas E. , Petukhov Andrei V. , Vartanyants Ivan A. 
Published: July 2020

AbstractWith the rapid development of short-pulse intense laser sources, studies of matter under extreme irradiation conditions enter further unexplored regimes. In addition, an application of X-ray Free-Electron Lasers (XFELs) delivering intense femtosecond X-ray pulses, allows to investigate sample evolution in IR pump - X-ray probe experiments with an unprecedented time resolution. Here we present a detailed study of the periodic plasma created from the colloidal crystal. Both experimental data and theory modeling show that the periodicity in the sample survives to a large extent the extreme excitation and shock wave propagation inside the colloidal crystal. This feature enables probing the excited crystal, using the powerful Bragg peak analysis, in contrast to the conventional studies of dense plasma created from bulk samples for which probing with Bragg diffraction technique is not possible. X-ray diffraction measurements of excited colloidal crystals may then lead towards a better understanding of matter phase transitions under extreme irradiation conditions.
Historic changes in species composition for a globally unique bird community
Authors: Renner Swen C. , Bates Paul J. J. 
Published: July 2020

AbstractSignificant uncertainties remain of how global change impacts on species richness, relative abundance and species composition. Recently, a discussion emerged on the importance of detecting and understanding long-term fluctuations in species composition and relative abundance and whether deterministic or non-deterministic factors can explain any temporal change. However, currently, one of the main impediments to providing answers to these questions is the relatively short time series of species diversity datasets. Many datasets are limited to 2 years and it is rare for a few decades of data to be available. In addition, long-term data typically has standardization issues from the past and/or the methods are not comparable. We address several of these uncertainties by investigating bird diversity in a globally important mountain ecosystem of the Hkakabo Razi Landscape in northern Myanmar. The study compares bird communities in two periods (pre-1940: 1900–1939 vs. post-2000: 2001–2006). Land-cover classes have been included to provide understanding of their potential role as drivers. While species richness did not change, species composition and relative abundance differed, indicating a significant species turn over and hence temporal change. Only 19.2% of bird species occurred during both periods. Land-cover model predictors explained part of the species richness variability but not relative abundance nor species composition changes. The temporal change is likely caused by minimal methodological differences and partially by land-cover.
Terabase-scale metagenome coassembly with MetaHipMer
Authors: Hofmeyr Steven , Egan Rob , Georganas Evangelos , Copeland Alex C. , Riley Robert , Clum Alicia , Eloe-Fadrosh Emiley , Roux Simon , Goltsman Eugene , Buluç Aydın , Rokhsar Daniel , Oliker Leonid , Yelick Katherine 
Published: July 2020

AbstractMetagenome sequence datasets can contain terabytes of reads, too many to be coassembled together on a single shared-memory computer; consequently, they have only been assembled sample by sample (multiassembly) and combining the results is challenging. We can now perform coassembly of the largest datasets using MetaHipMer, a metagenome assembler designed to run on supercomputers and large clusters of compute nodes. We have reported on the implementation of MetaHipMer previously; in this paper we focus on analyzing the impact of very large coassembly. In particular, we show that coassembly recovers a larger genome fraction than multiassembly and enables the discovery of more complete genomes, with lower error rates, whereas multiassembly recovers more dominant strain variation. Being able to coassemble a large dataset does not preclude one from multiassembly; rather, having a fast, scalable metagenome assembler enables a user to more easily perform coassembly and multiassembly, and assemble both abundant, high strain variation genomes, and low-abundance, rare genomes. We present several assemblies of terabyte datasets that could never be coassembled before, demonstrating MetaHipMer’s scaling power. MetaHipMer is available for public use under an open source license and all datasets used in the paper are available for public download.
Bone marrow-derived mesenchymal stem cells improve cognitive impairment in an Alzheimer’s disease model by increasing the expression of microRNA-146a in hippocampus
Authors: Nakano Masako , Kubota Kenta , Kobayashi Eiji , Chikenji Takako S. , Saito Yuki , Konari Naoto , Fujimiya Mineko 
Published: July 2020

AbstractAlzheimer’s disease (AD) is characterized by the accumulation of amyloid-β and tau. We previously reported that administration of bone marrow mesenchymal stem cells (BM-MSCs) ameliorates diabetes-induced cognitive impairment by transferring exosomes derived from these cells into astrocytes. Here, we show that intracerebroventricularly injected BM-MSCs improve cognitive impairment in AD model mice by ameliorating astrocytic inflammation as well as synaptogenesis. Although AD model mice showed an increase in NF-κB in the hippocampus, BM-MSC-treated AD model mice did not show this increase but showed an increase in levels of microRNA (miR)-146a in the hippocampus. Intracerebroventricularly injected BM-MSCs were attached to the choroid plexus in the lateral ventricle, and thus, BM-MSCs may secrete exosomes into the cerebrospinal fluid. In vitro experiments showed that exosomal miR-146a secreted from BM-MSCs was taken up into astrocytes, and an increased level of miR-146a and a decreased level of NF-κB were observed in astrocytes. Astrocytes are key cells for the formation of synapses, and thus, restoration of astrocytic function may have led to synaptogenesis and correction of cognitive impairment. The present study indicates that exosomal transfer of miR-146a is involved in the correction of cognitive impairment in AD model mice.
Feeding and food availability modulate brain-derived neurotrophic factor, an orexigen with metabolic roles in zebrafish
Authors: Blanco Ayelén Melisa , Bertucci Juan Ignacio , Hatef Azadeh , Unniappan Suraj 
Published: July 2020

AbstractEmerging findings point to a role for brain-derived neurotrophic factor (BDNF) on feeding in mammals. However, its role on energy balance is unclear. Moreover, whether BDNF regulates energy homeostasis in non-mammals remain unknown. This research aimed to determine whether BDNF is a metabolic peptide in zebrafish. Our results demonstrate that BDNF mRNAs and protein, as well as mRNAs encoding its receptors trkb2, p75ntra and p75ntrb, are detectable in the zebrafish brain, foregut and liver. Intraperitoneal injection of BDNF increased food intake at 1, 2 and 6 h post-administration, and caused an upregulation of brain npy, agrp and orexin, foregut ghrelin, and hepatic leptin mRNAs, and a reduction in brain nucb2. Fasting for 7 days increased bdnf and p75ntrb mRNAs in the foregut, while decreased bdnf, trkb2, p75ntra and p75ntrb mRNAs in the brain and liver. Additionally, the expression of bdnf and its receptors increased preprandially, and decreased after a meal in the foregut and liver. Finally, we observed BDNF-induced changes in the expression and/or activity of enzymes involved in glucose and lipid metabolism in the liver. Overall, present results indicate that BDNF is a novel regulator of appetite and metabolism in fish, which is modulated by energy intake and food availability.