bluuebunny/crossref_metadata_2025_split huggingface dataset:
To Thine Own Self, be True: Examining Change in Self-Reported Alcohol Measures over Time as Related to Socially Desirable Responding Bias among People with Unhealthy Alcohol Use
Authors: Schell Christina , Godinho Alexandra , Cunningham John A. 
Published: February 2020

Background Due to a conscious or unconscious desire to be perceived favorably by others, some participants may under or overexaggerate when reporting sensitive behaviors or attitudes, including those related to addictions. This socially desirable responding bias should be considered when using self-reports in predictive models since it introduces error. Methods A total of 1711 participants were recruited using Amazon's Mechanical Turk crowdsourcing platform for two randomized controlled trials investigating the effectiveness of brief online interventions for hazardous alcohol use. At baseline, participants completed the Balanced Inventory of Desirable Responding (BIDR). Four measures of alcohol use were collected at baseline and follow-up: number of drinks consumed in a typical week, on one occasion, consequences experienced, and amount of perceived risk of injury or illness from alcohol use. Results As expected, individuals scoring high on the BIDR subscales reported less alcohol use and related behaviors ( p < 0.05); however, repeating the analyses for each gender showed no difference for females asked direct questions about the frequency of their alcohol use. Mixed-effects models investigating the interaction of socially desirable responding bias over time on alcohol-related measures showed some significant differences in the amount of change reported depending on BIDR scores. Participants with higher self-deceptive enhancement scores reported less change over time in their ratings of risk of illness or injury ( p = 0.001) compared to lower-scoring participants. Likewise, high-scoring participants reported less change in the number of consequences experienced due to alcohol use over time on both BIDR subscales. Neither direct measure of alcohol use seemed affected by BIDR scores over time. A different pattern was found in males and females analyzed separately. Conclusions These findings suggest that researchers should consider including measures of socially desirable responding bias in longitudinal studies involving self-reported alcohol use, particularly when modeling alcohol-related measures using rating scales across time. In addition, separate gender analyses may be appropriate. Trial registration: ClinicalTrials.gov NCT03008928. Registered 30 December 2016; ClinicalTrials.gov NCT03060135. Registered 17 February 2017
Modulation of heat transport in two-dimensional group-III chalcogenides
Authors: Wan Wenhui , Song Ziwei , Zhao Shan , Ge Yanfeng , Liu Yong 
Published: February 2020

Abstract
We systematically investigated the modulation of heat transport of experimentally accessible two-dimensional (2D) group-III chalcogenides by first-principles calculations. It was found that intrinsic thermal conductivity (κ) of chalcogenides MX (M = Ga, In; X = S, Se) were desirable for efficient heat dissipation. Meanwhile, we showed that the long-ranged harmonic and anharmonic interactions played an important role in heat transport of the chalcogenides. The difference of κ among the 2D group-III chalcogenides can be well described by the Slack model and can be mainly attributed to phonon group velocity. Based on that, we proposed three methods including strain engineering, size effect and making Janus structures to effectively modulate the κ of 2D group-III chalcogenides, with different underlying mechanisms. We found that tensile strain and rough boundary scattering could continuously decrease the κ while compressive strain could increase the κ of 2D group-III chalcogenides. On the other side, the change of κ by producing Janus structures is permanent and dependent on the structural details. These results provide guilds to modulate heat transport properties of 2D group-III chalcogenides for devices application.
Identifying the graphene d-wave superconducting symmetry by an anomalous splitting zero-bias conductance peak
Authors: Huang Chuan-Shuai , Yang Yang , Tao Y C , Wang Jun 
Published: February 2020

Abstract
Not until recently, was a gate-tunable, high-temperature superconducting proximity effect in graphene demonstrated experimentally. And usually in d-wave superconductor (SC) hybrid structure, ferromagnetism and spin-triplet states could result in a splitting zero-bias conductance peak (ZBCP). Herein, we theoretically present an anomalous splitting ZBCP in a graphene-based ferromagnet/Rashba spin–orbit coupling (RSOC)/insulator/d-wave SC hybrid structure. With increasing the exchange field from h/E
F = 0, the ZBCP starts to turn into a splitting one with a zero-bias conductance dip (ZBCD) sandwiched in between two subpeaks, while from h/E
F = 1, the two subpeaks and ZBCD begin to gradually shrink till the ZBCP reappears. The anomalous splitting ZBCP can be modulated by the RSOC strength, magnitude of Fermi wave vector mismatch as well as insulator barrier strength. These peculiar features are ascribed to the novel spin-triplet Andreev reflection in the context of the RSOC, characteristic by the anisotropic d-wave pair symmetry combined with the relativistic nodal fermions, which in turn can be experimentally used to directly identify not only the proximity-induced ferromagnetism and RSOC but d-wave pair symmetry in graphene. These results pave the way to a new class of tunable, high-temperature superconducting spintronic devices based on large-scale graphene.
Cross sections for (n, 2n), (n, p), (n, a) and (n, n′) reactions on hafnium isotopes around the neutron energy of 14 MeV
Authors: Li Yong , Zhou Fengqun , Song Yueli , Chang Xinyi , Ji Pengfei , Sun Xiaojun , Li Guoqiang 
Published: February 2020

Abstract
In view of the fact that the fast-neutron experimental cross-section data of hafnium which is an important structural material of fusion reactor are few and there are the great differences in their evaluation values, several activation cross sections of (n, 2n), (n, p), (n, a) and (n, n′) reactions on hafnium isotopes have been investigated by neutrons generated from the T(d, n)4He reaction at the K-400 Neutron Generator at China Academy of Engineering Physics (CAEP). The gamma activities of the product nuclei were measured by a high-resolution gamma-ray spectrometer with a coaxial high-purity germanium detector. The 93Nb(n, 2n)92mNb reaction was used as neutron fluence standard, these experimental cross sections of the 174Hf(n, 2n)173Hf, 176Hf(n, 2n)175Hf, 178Hf(n, α)175m+gYb, 178Hf(n, p)178gLu, 178Hf(n, p)178mLu, 180Hf(n, 2n)179m2Hf, 180Hf(n, α)177m+gYb and 180Hf(n, n′)180mHf reactions were obtained in the neutron energy range of 13.5–14.8 MeV. These measured cross sections were discussed and compared with some previous experimental results from the literature and with the evaluation data from ENDF/B-VIII.0, CENDL-3.1, JEFF-3.3 and the theoretical results by using the computer code system Talys-1.9.
Spin decoherence in inhomogeneous media
Authors: Crosse J A 
Published: February 2020

AbstractA Green’s function formalism for describing the decoherence of a ‘central spin’ in inhomogeneous media is developed. By embedding the ‘central spin’ in a background medium and performing real-cavity, local-field corrections on the macroscopic fields at the location of the ‘central spin’ one can show that the Green’s function splits up into two main contributions, a contribution that is related to the bulk properties of the background medium and a contribution that is related inhomogeneities within the background medium. As an example, the coherence time of a shallowNVcenter in diamond close to a planar interface, both in the absence and presence of surface spins, is computed. It is found that the coherence time of theNVcenter increases as it moves away from the interface and, at distances greater than ≈1 nm, the interaction with the interface is negligible with the main source of decoherence coming from the interaction with the surface spins. Above ≈50 nm the interaction with the surface spins is also negligible and one recovers the bulk coherence time.
Anisotropic critical behavior of current-driven skyrmion dynamics in chiral magnets with disorder
Authors: Xiong L , Zheng B , Jin M H , Zhou N J 
Published: February 2020

Abstract
The dynamic pinning effects are significant in manipulating skymions in chiral magnetic materials with quenched disorder. Through numerical simulations of the non-stationary current-driven dynamics of skyrmions with the Landau–Lifshitz–Gilbert equation, the critical current, static and dynamic critical exponents of the depenning phase transition are accurately determined for both adiabatic and non-adiabatic spin-transfer torques and with different strengths of disorder, based on the dynamic scaling behavior far from stationary. We find that the threshold current is insensitive to a small non-adiabatic coefficient of the spin-transfer torque, but dramatically reduced for a large one. The critical exponents indicate that the critical dynamic behavior is robust for different spin-transfer torques in the perpendicular component of the Hall motion, while exhibits a weak universality class in the direction of the driving current. The anisotropic behavior around the depinning phase transition provides a quantitative analysis of the drive-dependent skyrmion Hall effect in experiments. Further, the theoretical analysis using the Thiele’s approach is presented, and the critical current and the static exponents support the simulation results.
Plasticity to drought and ecotypic differentiation in populations of a crop wild relative
Authors: Matesanz S , Ramos-Muñoz M , Moncalvillo B , Rubio Teso M L , García de Dionisio S L , Romero J , Iriondo J M 
Published: February 2020

AbstractPopulations of widely distributed species often exhibit geographic variation in functional traits in response to environmental heterogeneity. Such trait variation may be the result of different adaptive mechanisms, including genetically based differentiation, phenotypic plasticity or a combination of both. Disentangling the genetic and environmental components of trait variation may be particularly interesting in crop wild relatives, since they may provide unique reservoirs of genetic diversity for crop improvement. In this study, we assessed ecotypic differentiation and patterns of plasticity to drought in populations of Lupinus angustifolius, a Mediterranean crop wild relative, from two climatically distinct regions in the Iberian Peninsula. Using an outdoor common garden, we compared phenotypic responses of inbred maternal families to two ecologically meaningful water availability treatments (drought and high-moisture). We measured 18 different functional traits related to growth, morphology, phenology and reproduction. Plants in the drought treatment grew less, had lower leaf chlorophyll content and photochemical efficiency, but also reproduced faster, produced larger seeds and altered leaflet morphology through increased leaflet thickness, higher leaflet dry matter content and lower specific leaf area. We also found significant differences between regions that likely reflect adaptation to climatically distinct environments, with populations from the south showing a faster onset of reproduction, higher leaf thickness and higher seed size, consistent with the drier conditions experienced in southern sites. Plasticity to drought was in most cases in the same direction as quantitative genetic differentiation (i.e. cogradient variation), providing evidence of the adaptive value of the plastic change. Our results show that both genetic differentiation and plasticity can generate adaptive phenotypic variation in L. angustifolius, and help to identify potentially valuable genetic resources to incorporate into breeding programmes.
GeneSwitches: ordering gene expression and functional events in single-cell experiments
Authors: Cao Elaine Y , Ouyang John F , Rackham Owen J L 
Published: February 2020

AbstractSummaryEmerging single-cell RNA-sequencing data technologies has made it possible to capture and assess the gene expression of individual cells. Based on the similarity of gene expression profiles, many tools have been developed to generate an in silico ordering of cells in the form of pseudo-time trajectories. However, these tools do not provide a means to find the ordering of critical gene expression changes over pseudo-time. We present GeneSwitches, a tool that takes any single-cell pseudo-time trajectory and determines the precise order of gene expression and functional-event changes over time. GeneSwitches uses a statistical framework based on logistic regression to identify the order in which genes are either switched on or off along pseudo-time. With this information, users can identify the order in which surface markers appear, investigate how functional ontologies are gained or lost over time and compare the ordering of switching genes from two related pseudo-temporal processes.AvailabilityGeneSwitches is available at https://geneswitches.ddnetbio.com.Supplementary informationSupplementary data are available at Bioinformatics online.
White matter basis for the hub-and-spoke semantic representation: evidence from semantic dementia
Authors: Chen Yan , Huang Lin , Chen Keliang , Ding Junhua , Zhang Yumei , Yang Qing , Lv Yingru , Han Zaizhu , Guo Qihao 
Published: February 2020

Abstract
The hub-and-spoke semantic representation theory posits that semantic knowledge is processed in a neural network, which contains an amodal hub, the sensorimotor modality-specific regions, and the connections between them. The exact neural basis of the hub, regions and connectivity remains unclear. Semantic dementia could be an ideal lesion model to construct the semantic network as this disease presents both amodal and modality-specific semantic processing (e.g. colour) deficits. The goal of the present study was to identify, using an unbiased data-driven approach, the semantic hub and its general and modality-specific semantic white matter connections by investigating the relationship between the lesion degree of the network and the severity of semantic deficits in 33 patients with semantic dementia. Data of diffusion-weighted imaging and behavioural performance in processing knowledge of general semantic and six sensorimotor modalities (i.e. object form, colour, motion, sound, manipulation and function) were collected from each subject. Specifically, to identify the semantic hub, we mapped the white matter nodal degree value (a graph theoretical index) of the 90 regions in the automated anatomical labelling atlas with the general semantic abilities of the patients. Of the regions, only the left fusiform gyrus was identified as the hub because its structural connectivity strength (i.e. nodal degree value) could significantly predict the general semantic processing of the patients. To identify the general and modality-specific semantic connections of the semantic hub, we separately correlated the white matter integrity values of each tract connected with the left fusiform gyrus, with the performance for general semantic processing and each of six semantic modality processing. The results showed that the hub region worked in concert with nine other regions in the semantic memory network for general semantic processing. Moreover, the connection between the hub and the left calcarine was associated with colour-specific semantic processing. The observed effects could not be accounted for by potential confounding variables (e.g. total grey matter volume, regional grey matter volume and performance on non-semantic control tasks). Our findings refine the neuroanatomical structure of the semantic network and underline the critical role of the left fusiform gyrus and its connectivity in the network.
High miR-133a levels in the circulation anticipates presentation of clinical events in familial hypercholesterolaemia patients
Authors: Escate Rafael , Padró Teresa , Suades Rosa , Camino Sandra , Muñiz Ovidio , Diaz-Diaz Jose Luis , Sionis Alessandro , Mata Pedro , Badimon Lina 
Published: February 2020

Abstract

Aims
Presentation of acute events in patients with atherosclerosis remains unpredictable even after controlling for classical risk factors. MicroRNAs (miRNAs) measured in liquid biopsies could be good candidate biomarkers to improve risk prediction. Here, we hypothesized that miRNAs could predict atherosclerotic plaque progression and clinical event presentation in familial hypercholesterolaemia (FH) patients.

Methods and results
Circulating miRNAs (plasma, exosomes, and microvesicles) were investigated by TaqMan Array and RT-qPCR assays. Patients with genetic diagnosis of FH and healthy relatives from the SAFEHEART cohort were included. A differential signature of 10 miRNA was obtained by comparing two extreme phenotypes consisting of FH patients suffering a cardiovascular event (CVE) within a 8-year follow-up period (FH-CVE, N = 42) and non-FH hypercholesterolaemic relatives from the same cohort, matched for age and treatment, without CVE during the same period (nFH-nCVE, N = 30). The validation studies included two independent groups of patients with FH background (discovery group, N = 89, validation group N = 196), developing a future CVE (FH-CVE) or not (FH-nCVE) within the same time period of follow-up. Of the 10 miRNAs initially selected, miR-133a was significantly higher in FH-CVE than in FH-nCVE patients. Receiver operating characteristic analysis confirmed miR-133a as the best microRNA for predicting CVE in FH patients (0.76 ± 0.054; P &lt; 0.001). Furthermore, Kaplan–Meier and COX analysis showed that high plasma miR-133a levels associated to the higher risk of presenting a CVE within the next 8 years (hazard ratio 3.89, 95% confidence interval 1.88–8.07; P &lt; 0.001). In silico analysis of curate biological interactions related miR-133a with target genes involved in regulation of the cell-membrane lipid-receptor LRP6 and inflammatory cytokines (CXCL8, IL6, and TNF). These predictions were experimentally proven in human macrophages and endothelial cells transfected with agomiR-133a.

Conclusion
Elevated levels of miR-133a in the circulation anticipate those FH patients that are going to present a clinical CVE within the next 2 years (average). Mechanistically, miR-133a is directly related with lipid- and inflammatory signalling in key cells for atherosclerosis progression.
Preoperative renal malperfusion is an independent predictor for acute kidney injury and operative death but not associated with late mortality after surgery for acute type A aortic dissection
Authors: Nishigawa Kosaku , Fukui Toshihiro , Uemura Kohei , Takanashi Shuichiro , Shimokawa Tomoki 
Published: February 2020

Abstract

OBJECTIVES
This study was aimed to investigate the impact of preoperative renal malperfusion on early and late outcomes after surgery for acute type A aortic dissection (AAAD).

METHODS
Of 915 patients who underwent surgery for AAAD between September 2004 and September 2017, we enrolled 534 patients whose preoperative enhanced computed tomography images were retrospectively available in this study. Exclusion criteria were single kidney (n = 3) and dialysis-dependent preoperatively (n = 12). We compared early and late outcomes between patients who had preoperative renal malperfusion (n = 64) and those who did not have renal malperfusion (n = 470).

RESULTS
The incidence of postoperative acute kidney injury, defined using the Kidney Disease: Improving Global Outcomes criteria, was higher in the renal malperfusion group than in the no renal malperfusion group (76.6% vs 39.4%; P &lt; 0.001). Similarly, operative death was more frequently seen in the renal malperfusion group (12.5% vs 3.8%; P = 0.003). Multivariate analyses showed that renal malperfusion was the independent predictor for postoperative acute kidney injury [odds ratio 4.32, 95% confidence interval (CI) 2.25–8.67; P &lt; 0.001] and operative death (odds ratio 3.08, 95% CI 1.02–8.86; P = 0.046). The median follow-up period in the hospital survivors was 3.3 years (interquartile range 2.1–6.7 years). The cumulative survival rate at 8 years was similar between the groups (74.6% in the renal malperfusion group and 76.0% in the no renal malperfusion group; P = 0.349).

CONCLUSIONS
Preoperative renal malperfusion is an independent predictor for postoperative acute kidney injury and operative death but not associated with late mortality after surgery for acute type A aortic dissection.
The Impact of Obstructive Sleep Apnea on Balance, Gait, and Falls Risk: A Narrative Review of the Literature
Authors: Stevens David , Jackson Brianna , Carberry Jayne , McLoughlin James , Barr Chris , Mukherjee Sutapa , Oh Aaron , McEvoy R Doug , Crotty Maria , Vakulin Andrew 
Published: February 2020

Abstract
Falls-related hospitalization and injury rates are steadily increasing globally due to a growth in the aging population, and the associated health problems that increase risk of falls. One such associated health problem is sleep disturbances and disorders. Recent cohort studies have shown that subjectively reported poor quality sleep is associated with an increased risk of falls. Obstructive sleep apnea (OSA) is a common sleep disorder characterized by the repetitive reductions, or cessation, of airflow. Some studies have shown that OSA impairs posture/balance and gait with nocturnal hypoxemia the likely main cause. Emerging evidence suggests that treating OSA by continuous positive airway pressure (CPAP) can improve gait, but no studies to date have examined the effect of CPAP on posture/balance. The overall control of balance relies on a complex interaction between several physiological functions including vestibular, muscle, visual, and cognitive functions. We postulate that OSA impacts balance by affecting these different systems to various degrees, with the nocturnal hypoxic burden likely playing an important role. Importantly, these impairments in balance/posture and possible falls risk may be alleviated by OSA treatment. Larger mechanistic studies are needed to properly elucidate how OSA affects falls risk and future large-scale randomized control trials are needed to determine the effectiveness of OSA treatment in reducing the risk of falls.
Green technologies and firms’ market value: a micro-econometric analysis of European firms
Authors: Colombelli Alessandra , Ghisetti Claudia , Quatraro Francesco 
Published: February 2020

AbstractThis paper investigates the impact of the generation of green (environmental) technologies on the market value (MV) of a sample of listed companies. The analysis is grounded on the combination of two different theoretical approaches, that is the one focusing on the relationship between MV and innovation and the one pertaining to the economic effects of eco-innovation. Environmental regulation, based on the regulatory push–pull effect, induces firms to cope with more stringent rules through innovation efforts, and this eventually leads to the emergence of new markets for the suppliers of green technologies (GTs). Our main hypothesis is that firms able to generate GTs can be expected to show better stock market performances in this framework, because of the prospects of regulation-driven profitability gains. The empirical analysis has been carried out on a sample of listed firms from France, Germany, Italy, the Netherlands, and the UK observed over the 1985–2011 time span, and it is based on the implementation of the most recent version of the MV equation, corrected for selection bias. Results are consistent with those of previous literature and highlight the positive impact of innovation on MV. When narrowing the focus to firms operating in sectors with a high propensity to generate GTs, we have found that the stringency of the environmental regulatory framework also yields a positive a significant impact, as does the stock of GTs vis-à-vis non-GTs. Moreover, environmental regulatory framework positively moderates the positive effect of the stock of GTs. Lastly, the quality of firms’ own knowledge stocks is also found to positively influence firms’ MV.