bluuebunny/crossref_metadata_2025_split huggingface dataset:
Food choice motives, attitude towards and intention to adopt personalised nutrition
Authors: Rankin Audrey , Bunting Brendan P , Poínhos Rui , van der Lans Ivo A , Fischer Arnout RH , Kuznesof Sharron , Almeida MDV , Markovina Jerko , Frewer Lynn J , Stewart-Knox Barbara J 
Published: May 2018

AbstractObjectiveThe present study explored associations between food choice motives, attitudes towards and intention to adopt personalised nutrition, to inform communication strategies based on consumer priorities and concerns.Design/SettingA survey was administered online which included the Food Choice Questionnaire (FCQ) and items assessing attitudes towards and intention to adopt personalised nutrition.SubjectsNationally representative samples were recruited in nine EU countries (n9381).ResultsStructural equation modelling indicated that the food choice motives ‘weight control’, ‘mood’, ‘health’ and ‘ethical concern’ had a positive association and ‘price’ had a negative association with attitude towards, and intention to adopt, personalised nutrition. ‘Health’ was positively associated and ‘familiarity’ negatively associated with attitude towards personalised nutrition. The effects of ‘weight control’, ‘ethical concern’, ‘mood’ and ‘price’ on intention to adopt personalised nutrition were partially mediated by attitude. The effects of ‘health’ and ‘familiarity’ were fully mediated by attitude. ‘Sensory appeal’ was negatively and directly associated with intention to adopt personalised nutrition.ConclusionsPersonalised nutrition providers may benefit from taking into consideration the importance of underlying determinants of food choice in potential users, particularly weight control, mood and price, when promoting services and in tailoring communications that are motivationally relevant.
Self-Determination and Personal Identity in University Students: The Mediating Role of Future Orientation
Authors: Zhou Mingming , Kam Chester Chun Seng 
Published: May 2018

AbstractIn this study, we sought to extend the research on self-determination, future orientation, and personal identity construction by integrating the theories on self-determination and future orientation to provide a conceptual framework for understanding the relations between personal identity and the following individual characteristics: Hope, optimism, awareness of self, and perceived choice. 191 university students in China responded surveys in hardcopies on an individual basis. Our SEM results revealed that proximal future orientation influenced the mechanisms through which distal psychological traits affected identity construction. Specifically, hope mediated the effects of self-awareness on the participants’ personal identity ratings (b = .45,p< .05). Although optimism was related to both awareness of self and perceived choice, it was not significantly related to personal identity. This study suggested an extended framework through which we could understand how the interaction between future orientation and self-determination can predict personal identity. The findings have significant implications for interventions in educational settings.
Marchenko‐Based Target Replacement, Accounting for All Orders of Multiple Reflections
Authors: Wapenaar Kees , Staring Myrna 
Published: May 2018

AbstractIn seismic monitoring, one is usually interested in the response of a changing target zone, embedded in a static inhomogeneous medium. We introduce an efficient method that predicts reflection responses at the Earth's surface for different target‐zone scenarios, from a single reflection response at the surface and a model of the changing target zone. The proposed process consists of two main steps. In the first step, the response of the original target zone is removed from the reflection response, using the Marchenko method. In the second step, the modelled response of a new target zone is inserted between the overburden and underburden responses. The method fully accounts for all orders of multiple scattering and, in the elastodynamic case, for wave conversion. For monitoring purposes, only the second step needs to be repeated for each target‐zone model. Since the target zone covers only a small part of the entire medium, the proposed method is much more efficient than repeated modelling of the entire reflection response.
On the Relationship Between Probabilistic and Deterministic Skills in Dynamical Seasonal Climate Prediction
Authors: Yang Dejian , Yang Xiu‐Qun , Ye Dan , Sun Xuguang , Fang Jiabei , Chu Cuijiao , Feng Tao , Jiang Yiquan , Liang Jin , Ren Xuejuan , Zhang Yaocun , Tang Youmin 
Published: May 2018

AbstractDespite the gradually increasing emphasis on assessing the skill of dynamical seasonal climate predictions from the probabilistic perspective, there is a lack of in‐depth understanding that an inherent relationship may exist between the probabilistic and deterministic seasonal forecast skills. In this study, we focus on investigating this relationship, through theoretical consideration based on an analytical approach and diagnostic analysis of the historical forecasts produced by multiple dynamical models. The probabilistic forecast skill is gauged in terms of its two different attributes: resolution and reliability, while the deterministic forecast skill is measured in terms of anomaly correlation (AC). Through the theoretical consideration under certain simplified assumptions, a nonlinear, monotonic relationship is analytically derived between the resolution and the AC. Subsequent diagnostic analysis shows that the resolution and AC skills of both the multimodel ensemble and its member single models indeed appear to be approximately monotonically and nonlinearly related, specifically when they are calculated in a zonally aggregated manner by which the impact of finite sample size is reduced. This observed relationship has a specific form that is consistent with what the theory predicts. In short, the theoretical result is well verified by the dynamical model forecasts. Diagnostic analysis also shows that no good relationship exists between the reliability and the AC, signifying the difference of reliability and resolution in nature. A specific application of the proven resolution‐AC coherence is also demonstrated. The proved resolution‐AC relationship can facilitate comparisons among various assessments of seasonal climate prediction skill from the deterministic or probabilistic perspective alone.
Characterization of Hydrogeological Properties in Salt Lake Valley, Utah, using InSAR
Authors: Hu Xie , Lu Zhong , Wang Teng 
Published: May 2018

AbstractCharactering subsurface aquifer systems is important not only to managing their long‐term viability as a stable water source but also to protecting the residences and infrastructures. In particular, understanding how aquifer skeletons deform in response to hydraulic head changes requires hydrogeological parameters such as decay coefficient, storage coefficient, and bulk compressibility. Quantifying these key aquifer properties often requires the analysis of limited water gauge and drilling data. Here we investigate the spatiotemporal correlation between the vertical ground deformation derived by ENVISAT Advanced Synthetic Aperture Radar (ASAR) and Sentinel‐1A data sets and available hydrological records in order to improve the aquifer characterization under Salt Lake Valley, Utah. Interferometric synthetic aperture radar results show a clear long‐term and seasonal correlation between surface uplift/subsidence and groundwater recharge/discharge, with evidence for the net uplift of 15 mm/year of an area southwest of Salt Lake City for six years. The long‐term uplift, bounded by faults and contained within the water discharge area, reflects a net increase in pore pressure associated with prolonged water recharge probably decades ago. The distribution of both previously mapped faults and newly mapped faults within the fields of deformation and the decay coefficient suggests that the faults disrupt the groundwater flow and partition the hydrological units. We also characterize human‐ and hydrological‐triggered deformation by the features of seasonality and the deviation from the exponentially decaying model. By improving our ability to characterize aquifer structures, interferometric synthetic aperture radar analysis of surface deformation in combination with traditional hydrological monitoring data presents an opportunity to recognize and mitigate potential hazards.
Termination of Electron Acceleration in Thundercloud by Intracloud/Intercloud Discharge
Authors: Wada Y. , Bowers G. S. , Enoto T. , Kamogawa M. , Nakamura Y. , Morimoto T. , Smith D. M. , Furuta Y. , Nakazawa K. , Yuasa T. , Matsuki A. , Kubo M. , Tamagawa T. , Makishima K. , Tsuchiya H. 
Published: May 2018

AbstractAn on‐ground observation program for high‐energy atmospheric phenomena in winter thunderstorms along the Japan Sea has been performed via measurements of gamma ray radiation, atmospheric electric field, and low‐frequency radio band. On 11 February 2017, the radiation detectors recorded gamma ray emission lasting for 75 s, and then abruptly terminated with a nearby lightning discharge. The gamma ray spectrum extended up to 20 MeV and was reproduced by a cutoff power law model with a photon index of
, being consistent with Bremsstrahlung radiation from a thundercloud (known as a gamma‐ray glow or a thunderstorm ground enhancement). The low‐frequency radio monitors, installed ∼50 km away from the gamma ray observation site recorded leader development of an intracloud/intercloud discharge spreading over ∼60 km area with a ∼300‐ms duration. The timing of the gamma ray termination coincided with the moment when the leader development of the intracloud/intercloud discharge passed 0.7 km horizontally away from the radiation monitors. The intracloud/intercloud discharge started ∼15 km away from the gamma ray observation site. Therefore, the glow was terminated by the leader development, while it did not trigger the lightning discharge in the present case.
miRNAs reshape immunity and inflammatory responses in bacterial infection
Authors: Zhou Xikun , Li Xuefeng , Wu Min 
Published: May 2018

AbstractPathogenic bacteria cause various infections worldwide, especially in immunocompromised and other susceptible individuals, and are also associated with high infant mortality rates in developing countries. MicroRNAs (miRNAs), small non-coding RNAs with evolutionarily conserved sequences, are expressed in various tissues and cells that play key part in various physiological and pathologic processes. Increasing evidence implies roles for miRNAs in bacterial infectious diseases by modulating inflammatory responses, cell penetration, tissue remodeling, and innate and adaptive immunity. This review highlights some recent intriguing findings, ranging from the correlation between aberrant expression of miRNAs with bacterial infection progression to their profound impact on host immune responses. Harnessing of dysregulated miRNAs in bacterial infection may be an approach to improving the diagnosis, prevention and therapy of infectious diseases.
Interplay between gut microbiota metabolism and inflammation in HIV infection
Authors: Vázquez-Castellanos Jorge F , Serrano-Villar Sergio , Jiménez-Hernández Nuria , Soto del Rio María Dolores , Gayo Sara , Rojo David , Ferrer Manuel , Barbas Coral , Moreno Santiago , Estrada Vicente , Rattei Tomas , Latorre Amparo , Moya Andrés , Gosalbes María José 
Published: May 2018

Abstract
HIV infection causes a disruption of gut-associated lymphoid tissue, driving a shift in the composition of gut microbiota. A deeper understanding of the metabolic changes and how they affect the interplay with the host is needed. Here, we assessed functional modifications of HIV-associated microbiota by combining metagenomic and metatranscriptomic analyses. The transcriptionally active microbiota was well-adapted to the inflamed environment, overexpressing pathways related to resistance to oxidative stress. Furthermore, gut inflammation was maintained by the Gram-negative nature of the HIV-associated microbiota and underexpression of anti-inflammatory processes, such as short chain fatty acid biosynthesis or indole production. We performed co-occurrence and metabolic network analyses that showed relevance in the microbiota structure of both taxonomic and metabolic HIV-associated biomarkers. The Bayesian network revealed the most determinant pathways for maintaining the structure stability of the bacterial community. In addition, we identified the taxa’s contribution to metabolic activities and their interactions with host health.
Targeting RNA structure in SMN2 reverses spinal muscular atrophy molecular phenotypes
Authors: Garcia-Lopez Amparo , Tessaro Francesca , Jonker Hendrik R. A. , Wacker Anna , Richter Christian , Comte Arnaud , Berntenis Nikolaos , Schmucki Roland , Hatje Klas , Petermann Olivier , Chiriano Gianpaolo , Perozzo Remo , Sciarra Daniel , Konieczny Piotr , Faustino Ignacio , Fournet Guy , Orozco Modesto , Artero Ruben , Metzger Friedrich , Ebeling Martin , Goekjian Peter , Joseph Benoît , Schwalbe Harald , Scapozza Leonardo 
Published: May 2018

AbstractModification of SMN2 exon 7 (E7) splicing is a validated therapeutic strategy against spinal muscular atrophy (SMA). However, a target-based approach to identify small-molecule E7 splicing modifiers has not been attempted, which could reveal novel therapies with improved mechanistic insight. Here, we chose as a target the stem-loop RNA structure TSL2, which overlaps with the 5′ splicing site of E7. A small-molecule TSL2-binding compound, homocarbonyltopsentin (PK4C9), was identified that increases E7 splicing to therapeutic levels and rescues downstream molecular alterations in SMA cells. High-resolution NMR combined with molecular modelling revealed that PK4C9 binds to pentaloop conformations of TSL2 and promotes a shift to triloop conformations that display enhanced E7 splicing. Collectively, our study validates TSL2 as a target for small-molecule drug discovery in SMA, identifies a novel mechanism of action for an E7 splicing modifier, and sets a precedent for other splicing-mediated diseases where RNA structure could be similarly targeted.
Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity
Authors: Nguyen Quy H. , Pervolarakis Nicholas , Blake Kerrigan , Ma Dennis , Davis Ryan Tevia , James Nathan , Phung Anh T. , Willey Elizabeth , Kumar Raj , Jabart Eric , Driver Ian , Rock Jason , Goga Andrei , Khan Seema A. , Lawson Devon A. , Werb Zena , Kessenbrock Kai 
Published: May 2018

AbstractBreast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we use single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produces one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides insights into the cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer.
Structural resolution of inorganic nanotubes with complex stoichiometry
Authors: Monet Geoffrey , Amara Mohamed S. , Rouzière Stéphan , Paineau Erwan , Chai Ziwei , Elliott Joshua D. , Poli Emiliano , Liu Li-Min , Teobaldi Gilberto , Launois Pascale 
Published: May 2018

AbstractDetermination of the atomic structure of inorganic single-walled nanotubes with complex stoichiometry remains elusive due to the too many atomic coordinates to be fitted with respect to X-ray diffractograms inherently exhibiting rather broad features. Here we introduce a methodology to reduce the number of fitted variables and enable resolution of the atomic structure for inorganic nanotubes with complex stoichiometry. We apply it to recently synthesized methylated aluminosilicate and aluminogermanate imogolite nanotubes of nominal composition (OH)3Al2O3Si(Ge)CH3. Fitting of X-ray scattering diagrams, supported by Density Functional Theory simulations, reveals an unexpected rolling mode for these systems. The transferability of the approach opens up for improved understanding of structure–property relationships of inorganic nanotubes to the benefit of fundamental and applicative research in these systems.
Separation of current density and electric field domains caused by nonlinear electronic instabilities
Authors: Kumar Suhas , Williams R. Stanley 
Published: May 2018

AbstractIn 1963 Ridley postulated that under certain bias conditions circuit elements exhibiting a current- or voltage-controlled negative differential resistance will separate into coexisting domains with different current densities or electric fields, respectively, in a process similar to spinodal decomposition of a homogeneous liquid or disproportionation of a metastable chemical compound. The ensuing debate, however, failed to agree on the existence or causes of such electronic decomposition. Using thermal and chemical spectro-microscopy, we directly imaged signatures of current-density and electric-field domains in several metal oxides. The concept of local activity successfully predicts initiation and occurrence of spontaneous electronic decomposition, accompanied by a reduction in internal energy, despite unchanged power input and heat output. This reveals a thermodynamic constraint required to properly model nonlinear circuit elements. Our results explain the electroforming process that initiates information storage via resistance switching in metal oxides and has significant implications for improving neuromorphic computing based on nonlinear dynamical devices.
Postnatal DNA demethylation and its role in tissue maturation
Authors: Reizel Yitzhak , Sabag Ofra , Skversky Yael , Spiro Adam , Steinberg Benjamin , Bernstein Diana , Wang Amber , Kieckhaefer Julia , Li Catherine , Pikarsky Eli , Levin-Klein Rena , Goren Alon , Rajewsky Klaus , Kaestner Klaus H. , Cedar Howard 
Published: May 2018

AbstractDevelopment in mammals is accompanied by specific de novo and demethylation events that are thought to stabilize differentiated cell phenotypes. We demonstrate that a large percentage of the tissue-specific methylation pattern is generated postnatally. Demethylation in the liver is observed in thousands of enhancer-like sequences associated with genes that undergo activation during the first few weeks of life. Using a conditional gene ablation strategy we show that the removal of these methyl groups is stable and necessary for assuring proper hepatocyte gene expression and function through its effect on chromatin accessibility. These postnatal changes in methylation come about through exposure to hormone signaling. These results define the molecular rules of 5-methyl-cytosine regulation as an epigenetic mechanism underlying cellular responses to a changing environment.
Self-selection of dissipative assemblies driven by primitive chemical reaction networks
Authors: Tena-Solsona Marta , Wanzke Caren , Riess Benedikt , Bausch Andreas R. , Boekhoven Job 
Published: May 2018

AbstractLife is a dissipative nonequilibrium structure that requires constant consumption of energy to sustain itself. How such an unstable state could have selected from an abiotic pool of molecules remains a mystery. Here we show that liquid phase-separation offers a mechanism for the selection of dissipative products from a library of reacting molecules. We bring a set of primitive carboxylic acids out-of-equilibrium by addition of high-energy condensing agents. The resulting anhydrides are transiently present before deactivation via hydrolysis. We find the anhydrides that phase-separate into droplets to protect themselves from hydrolysis and to be more persistent than non-assembling ones. Thus, after several starvation-refueling cycles, the library self-selects the phase-separating anhydrides. We observe that the self-selection mechanism is more effective when the library is brought out-of-equilibrium by periodic addition of batches as opposed to feeding it continuously. Our results suggest that phase-separation offers a selection mechanism for energy dissipating assemblies.
Low doses of bioherbicide favour prion aggregation and propagation in vivo
Authors: Lafon Pierre-André , Imberdis Thibaut , Wang Yunyun , Torrent Joan , Robitzer Mike , Huetter Elisabeth , Alvarez-Martinez Maria-Teresa , Chevallier Nathalie , Givalois Laurent , Desrumaux Catherine , Liu Jianfeng , Perrier Véronique 
Published: May 2018

AbstractPublic concerns over the use of synthetic pesticides are growing since many studies have shown their impact on human health. A new environmental movement in occidental countries promoting an organic agriculture favours the rebirth of botanical pesticides. These products confer an effective alternative to chemical pesticides such as glyphosate. Among the biopesticides, the α-terthienyls found in the roots of Tagetes species, are powerful broad-spectrum pesticides. We found that an α-terthienyl analogue with herbicidal properties, called A6, triggers resistant SDS oligomers of the pathogenic prion protein PrPSc (rSDS-PrPSc) in cells. Our main question is to determine if we can induce those rSDS-PrPSc oligomers in vitro and in vivo, and their impact on prion aggregation and propagation. Using wild-type mice challenged with prions, we showed that A6 accelerates or slows down prion disease depending on the concentration used. At 5 mg/kg, A6 is worsening the pathology with a faster accumulation of PrPSc, reminiscent to soluble toxic rSDS-PrPSc oligomers. In contrast, at 10 and 20 mg/kg of A6, prion disease occurred later, with less PrPSc deposits and with rSDS-PrPSc oligomers in the brain reminiscent to non-toxic aggregates. Our results are bringing new openings regarding the impact of biopesticides in prion and prion-like diseases.
Investigation on the interface between Li10GeP2S12 electrolyte and carbon conductive agents in all-solid-state lithium battery
Authors: Yoon Kyungho , Kim Jung-Joon , Seong Won Mo , Lee Myeong Hwan , Kang Kisuk 
Published: May 2018

AbstractAll-solid-state batteries are considered as one of the attractive alternatives to conventional lithium-ion batteries, due to their intrinsic safe properties benefiting from the use of non-flammable solid electrolytes in ASSBs. However, one of the issues in employing the solid-state electrolyte is the sluggish ion transport kinetics arising from the chemical and physical instability of the interfaces among solid components including electrode material, electrolyte and additive agents. In this work, we investigate the stability of the interface between carbon conductive agents and Li10GeP2S12 in a composite cathode and its effect on the electrochemical performance of ASSBs. It is found that the inclusion of various carbon conductive agents in composite cathode leads to inferior kinetic performance of the cathode despite expectedly enhanced electrical conductivity of the composite. We observe that the poor kinetic performance is attributed to a large interfacial impedance which is gradually developed upon the inclusions of the various carbon conductive agents regardless of their physical differences. The analysis through X-ray Photoelectron Spectroscopy suggests that the carbon additives in the composite cathode stimulate the electrochemical decomposition of LGPS electrolyte degrading its surface during cycling, indicating the large interfacial resistance stems from the undesirable decomposition of the electrolyte at the interface.