bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical Activity Mediates the Relationship between Gait Function and Fall Incidence after Total Knee Arthroplasty
Authors: Taniguchi Masashi , Sawano Shinichiro , Maegawa Shoji , Ikezoe Tome , Ichihashi Noriaki 
Published: March 2020

AbstractThe present study aims to examine (1) the preoperative factors that can predict postoperative falls, (2) whether postoperative physical activity (PA) mediates the relationship between fall incidence and gait function, and (3) whether postoperative PA levels are associated with fall risk in total knee arthroplasty (TKA) patients. Ninety-six patients (mean age: 72.0 ± 6.1 years) who were observed postoperatively for 6 months were selected. Timed up and go (TUG) was assessed as an indicator of gait function. Fall incidence and PA were investigated for 6 months post-TKA. The body mass index, history of preoperative falls, knee pain, knee extensor strength, range of motion in knee flexion, and modified gait efficacy scale were evaluated. Additionally, postoperative PA levels were categorized into three groups—low: <3,000, moderate: 3,000 to 4,000, and high: ≥4,000 steps/day. The relative fall incidence rate was calculated according to the total number of falls normalized for every 1,000 steps/day for 6 months postoperatively. Twenty-five (26.0%) of the 96 patients had at least one fall. The TUG, knee pain, and knee extensor strength were identified preoperatively as significant variables affecting postoperative falls. The mediated effects model revealed that postoperative fall incidence was predicted by preoperative TUG and postoperative PA. Postoperative PA was significantly associated with preoperative TUG. Moreover, both the preoperative TUG and postoperative PA were selected as significant variables for predicting fall incidence. Thus, postoperative PA mediates the relationship between gait function and fall incidence after TKA. Furthermore, the relative fall incidence rate associated with a low PA level was significantly higher than that associated with moderate and high PA levels. In conclusion, preoperative assessments of TUG performance, muscle strength, and knee pain were effective in predicting fall risk. Additionally, an increase in PA could contribute to reducing fall risk in TKA patients. Therefore, our results suggest that preoperative screening for fall predictors and managing postoperative PA could reduce the fall incidence in TKA patients.
Pretransplant Genetic Susceptibility: Clinical Relevance in Transplant-Associated Thrombotic Microangiopathy
Authors: Gavriilaki Eleni , Touloumenidou Tasoula , Sakellari Ioanna , Batsis Ioannis , Mallouri Despina , Psomopoulos Fotis , Tsagiopoulou Maria , Koutra Maria , Yannaki Evangelia , Papalexandri Apostolia , Taylor Pat , Nikolousis Emmanuel , Stamouli Maria , Holbro Andreas , Baltadakis Ioannis , Liga Maria , Spyridonidis Alexandros , Tsirigotis Panagiotis , Charchalakis Nikolaos , Tsakiris Dimitrios A. , Brodsky Robert A. , Passweg Jacob , Stamatopoulos Kostas , Anagnostopoulos Achilles 
Published: March 2020

AbstractTransplant-associated thrombotic microangiopathy (TA-TMA) is a life-threatening complication of allogeneic hematopoietic cell transplantation (HCT). We hypothesized that pretransplant genetic susceptibility is evident in adult TA-TMA and further investigated the association of TMA-associated variants with clinical outcomes. We studied 40 patients with TA-TMA, donors of 18 patients and 40 control non-TMA HCT recipients, without significant differences in transplant characteristics. Genomic DNA from pretransplant peripheral blood was sequenced for TMA-associated genes. Donors presented significantly lower frequency of rare variants and variants in exonic/splicing/untranslated region (UTR) regions, compared with TA-TMA patients. Controls also showed a significantly lower frequency of rare variants in ADAMTS13, CD46, CFH, and CFI. The majority of TA-TMA patients (31/40) presented with pathogenic or likely pathogenic variants. Patients refractory to conventional treatment (62%) and patients that succumbed to transplant-related mortality (65%) were significantly enriched for variants in exonic/splicing/UTR regions. In conclusion, increased incidence of pathogenic, rare and variants in exonic/splicing/UTR regions of TA-TMA patients suggests genetic susceptibility not evident in controls or donors. Notably, variants in exonic/splicing/UTR regions were associated with poor response and survival. Therefore, pretransplant genomic screening may be useful to intensify monitoring and early intervention in patients at high risk for TA-TMA.
Plasma Protein Signatures of a Murine Venous Thrombosis Model and Slc44a2 Knockout Mice Using Quantitative-Targeted Proteomics
Authors: Tilburg Julia , Michaud Sarah A. , Maracle Chrissta X. , Versteeg Henri H. , Borchers Christoph H. , van Vlijmen Bart J. M. , Mohammed Yassene 
Published: March 2020

AbstractThe plasma compartment of the blood holds important information on the risk to develop cardiovascular diseases such as venous thrombosis (VT). Mass spectrometry-based targeted proteomics with internal standards quantifies proteins in multiplex allowing generation of signatures associated with a disease or a condition. Here, to demonstrate the method, we investigate the plasma protein signatures in mice following the onset of VT, which was induced by RNA interference targeting the natural anticoagulants antithrombin and protein C. We then study mice lacking Slc44a2, which was recently characterized as a VT-susceptibility gene in human genome-wide association studies. We use a recently developed panel of 375 multiplexed mouse protein assays measured by mass spectrometry. A strong plasma protein siganture was observed when VT was induced. Discriminators included acute phase response proteins, and proteins related to erythrocyte function. In mice lacking Slc44a2, protein signature was primarily overruled by the difference between sexes and not by the absent gene. Upon separate analyses for males and females, we were able to establish a signature for Slc44a2 deficiency, in which glycosylation-dependent cell adhesion molecule-1 and thrombospondin-1 were shared by both sexes. The minimal impact of Slc44a2 deficiency on the measured plasma proteins suggests that the main effect of Slc44a2 on VT does not lay ultimately in the plasma compartment. This suggests further investigation into the role of this VT-susceptibility gene should perhaps also question the possible involvement in cellular mechanisms.
Influence of Gestational Weight Gain on the Risk of Preterm Birth for Underweight Women Living in Food Deserts
Authors: Madzia Juliana , McKinney David , Kelly Elizabeth , DeFranco Emily 
Published: March 2020

Objective Preterm birth (PTB) and food insecurity are two of the most significant public health crises in the United States. Effects of being underweight among populations with low food security are not well understood. We assess whether the protective effect of gestational weight gain (GWG) for women with low prepregnancy body mass index (BMI) differs by accessibility to sources of healthy food.
Study Design Population-based retrospective cohort study using Ohio birth records analyzing all live births, 2006 to 2015. Analyses were stratified by maternal BMI (underweight, normal, overweight, and obese), Institute of Medicine (IOM) recommended GWG (under vs. met), and whether the U.S. Department of Agriculture (USDA) classified the residential census tract for each birth as a food desert. Food access data were retrieved from the USDA's 2018 Food Access Research Atlas. Covariates were selected using least absolute shrinkage and selection operator regression. Logistic regression models estimated the risk ratio (RR) of PTB for each group based on under or exceeded recommended GWG (reference = met), adjusting for coexisting risk factors.
Results Analysis was performed on 1,124,299 births. PTB risk was highest for underweight women below GWG recommendations (no food desert: 21.3%, RR = 2.15, 95% confidence interval [CI]: 1.81–2.57; food desert: 21.0%, RR = 1.46, 95% CI: 0.96–2.21). Underweight women living in food deserts who exceeded GWG recommendations had lower PTB risk than those who met GWG recommendations (13.5 vs. 14.3%, RR = 0.85, 95% CI: 0.51–1.41). Factors other than GWG significantly associated with PTB included in the adjusted analysis include maternal age and race, education, marital status, interpregnancy interval, and presence of prepregnancy diabetes or hypertension.
Conclusion Underweight women who do not meet GWG recommendations are at high risk for PTB. Increasing pregnancy weight gain to a level that exceeds IOM recommendations was not associated with a reduction in PTB risk for underweight women who reside in food deserts compared with women who met GWG recommendations.
Key Points
Designing for wearable and fashionable interactions
Authors: Chang Wei-Chen , Lin Rung-Tai 
Published: March 2020

Abstract
This research examines wearable, fashionable interaction design to mediate the narrative and semiotic concepts
found in technology and fashion. We discuss the principles of design anthropology using Taiwan proverbs to transmit the
“people-situation-reason-object” method and analyze five case studies that provide new approaches for designers engaged in future
industry. Design anthropology attempts to engage physiological and psychological design through technological function, meaning
formation, and fashion aesthetics to achieve cognition between people and the environment. The wearable, fashionable interaction
displays characteristics of narrative and semantics transmitted through craft culture as well as collective, cheerful, and
creative performance. It is a confident and innovative attempt, which bears a joyful and fundamental interface. This study takes
two directions, with cultural thinking serving as the basis to establish a set of traditional craft designs and interactive
objects that assist designers in using the senses to inform and initiate new lifestyle values.
“Talk to you later”
Authors: Rollet Nicolas , Clavel Chloé 
Published: March 2020

Abstract
This article presents an applied discussion of the possibility of integrating conversation analysis (CA)
methodology into that of machine learning. The aim is to improve the detection of that which resembles disengagement in the
interaction between a robot and a human. We offer a novel analytical assemblage at the heart of the two disciplines, and namely on
the level of the annotation schemes provided by conversation analysis transcription methods. First, we demonstrate that the need
for a stable structure in establishing an interaction scenario and in designing robot behaviours does not prevent the emergence of
ordinariness or creativity among the participants engaged in this interaction. Secondly, based on an actual case, we emphasize the
possibility of systematicness in CA transcription to support the choice (a) of the categories targeted by prediction methods and
defined by the annotation scheme, and (b) of the verbal and non-verbal features used to create prediction models.
Determination of atomic oxygen state densities in a double inductively coupled plasma using optical emission and absorption spectroscopy and probe measurements
Authors: Fiebrandt Marcel , Bibinov Nikita , Awakowicz Peter 
Published: March 2020

Abstract
A collisional radiative model for fast estimation and monitoring of atomic oxygen ground and excited state densities and fluxes in varying Ar:O2 mixtures is developed and applied in a double inductively coupled plasma source at a pressure of 5 Pa and incident power of 500 W. The model takes into account measured line intensities of 130.4 nm, 135.6 nm, 557.7 nm, and 777.5 nm, the electron densities and electron energy distribution functions determined using a Langmuir probe and multipole resonance probe as well as the state densities of the first four excited states of argon measured with the branching fraction method and compared to tunable diode laser absorption spectroscopy. The influence of cascading and self absorption is included and the validity of the used cross sections and reaction rates is discussed in detail. The determined atomic oxygen state densities are discussed for their plausibility, sources of error, and compared to other measurements. Furthermore, the results of the model are analyzed to identify the application regimes of much simpler models, which could be used more easily for process control, e.g. actinometry.
Nuclear chart in covariant density functional theory with dynamic correlations: From oxygen to tin *
Authors: Yang Yi-Long , Wang Ya-Kun 
Published: March 2020

Abstract
Nuclear masses of even-even nuclei with the proton number

(O to Sn isotopes) from the proton drip line to neutron drip line are investigated using the triaxial relativistic Hartree-Bogoliubov theory with the relativistic density functional PC-PK1. Further, the dynamical correlation energies (DCEs) associated with the rotational motion and quadrupole-shaped vibrational motion are taken into account by the five-dimensional collective Hamiltonian (5DCH) method. The root-mean-square deviation with respect to the experimental masses reduces from 2.50 to 1.59 MeV after the consideration of DCEs. The inclusion of DCEs has little influence on the position of drip lines, and the predicted numbers of bound even-even nuclei between proton and neutron drip lines from O to Sn isotopes are 569 and 564 with and without DCEs, respectively.
K* production in the KN → Kπp reaction *
Authors: Chen Shao-Fei , Liu Bo-Chao 
Published: March 2020

Abstract
We investigate the

production in the

reaction using the effective Lagrangian approach and the isobar model. To describe this reaction, we first take into account the contributions from the

,

and

exchanges, as in previous studies. We find that although the experimental data can be generally described, there are some obvious discrepancies between the model and the experiments. To improve the model, we consider the contributions of the axial-vector meson and hyperon exchange. It is shown that a large contribution of the axial-vector meson exchange can significantly improve the results. This may indicate that the coupling of the axial-vector meson, e.g.

, is large in the

channel. To verify our model, measurements of the angular distributions and spin density matrix elements of

in the

reaction would be helpful, and we make predictions for this reaction for a future comparison.
Phase diagram of two-color QCD matter at finite baryon and axial isospin densities *
Authors: Chao Jingyi 
Published: March 2020

Abstract
We study the two-color QCD matter with two fundamental quark flavors using the chiral perturbation theory and the Nambu-Jona-Lasinio (NJL) model. The effective Lagrangian is derived in terms of mesons and baryons, i.e. diquarks. The low lying excitations lie in the extended

flavor symmetry space. We compute the leading order terms of the Lagrangian as a function of the baryon and axial isospin densities. After numerically solving the gap equations in the two-color NJL model, the phase diagram is obtained in the

plane.
Co-evolution of nuclear rings, bars and the central intensity ratio of their host galaxies
Authors: Aswathy S. , Ravikumar C. D. 
Published: March 2020

Abstract
Using a sample of 13 early-type spiral galaxies hosting nuclear rings, we report remarkable correlations between the properties of the nuclear rings and the central intensity ratio (CIR) of their host galaxies. The CIR, a function of intensity of light within the central 1.5 and 3 arcsec region, is found to be a vital parameter in galaxy evolution, as it shares strong correlations with many structural and dynamical properties of early-type galaxies, including mass of the central supermassive black hole (SMBH). We use archival HST images for aperture photometry at the centre of the galaxy image to compute the CIR. We observe that the relative sizes of nuclear rings and ring cluster surface densities strongly correlate with the CIR. These correlations suggest reduced star formation in the centres of galaxies hosting small and dense nuclear rings. This scenario appears to be a consequence of strong bars as advocated by the significant connection observed between the CIR and bar strengths. In addition, we observe that the CIR is closely related with the integrated properties of the stellar population in the nuclear rings, associating the rings hosting older and less massive star clusters with low values of CIR. Thus, the CIR can serve as a crucial parameter in unfolding the coupled evolution of bars and rings as it is intimately connected with both their properties.
A magnetic confinement nuclear fusion mechanism for solar flares
Authors: Zhang Ying-Zhi 
Published: March 2020

Abstract
We propose a magnetic confinement nuclear fusion mechanism for the evolution of a solar flare in the solar atmosphere. The mechanism agrees with two observed characteristics of explosive flares and coronal mass ejections (CMEs) that have proved to be very difficult to explain with previous mechanisms: the huge enrichments of 3He and the high energy gamma ray radiation. The twisted magnetic flux rope is a typical structure during the solar flares, which is closely related to the solar active region that magnetic fields have almost complete control over the plasma. Consequently, the plasma inside the flux rope is heated to more than 1.0 × 107 K by an adiabatic compression process, and then the thermonuclear fusion can take place in the flux rope accompanied with high energy gamma rays. We utilize the time-dependent ideal 2.5-dimensional magnetohydrodynamic (MHD) simulation to demonstrate the physical mechanism for producing flares, which reveals three stages of flare development with the process of magnetic energy conversion and intense release during the solar flares and CMEs in the solar atmosphere. Furthermore, we discuss the relationship between magnetic reconnection and solar eruptions.
Long range frequency chirping of Alfvén eigenmodes
Authors: Hezaveh H. , Qu Z. S. , Breizman B. N. , Hole M. J. 
Published: March 2020

Abstract
A theoretical framework has been developed for an NBI scenario to model the hard non-linear evolution of global Alfvén eigenmodes (GAEs) where the adiabatic motion of phase-space structures (holes and clumps), associated with frequency chirping, occurs in generalised phase-space of slowing down energetic particles. The radial profile of the GAE is expanded using finite elements which allows update of the mode structure as the mode frequency chirps. Constants of motion are introduced to track the dynamics of energetic particles during frequency chirping by implementing proper action-angle variables and canonical transformations which reduce the dynamics essentially to 1D. Consequently, we specify whether the particles are drifting inward/outward as the frequency deviates from the initial MHD eigenfrequency. Using the principle of least action, we have derived the non-linear equation describing the evolution of the radial profile by varying the total Lagrangian of the system with respect to the weights of the finite elements. For the choice of parameters in this work, it is shown that the peak of the radial profile is shifted and also broadens due to frequency chirping. The time rate of frequency change is also calculated using the energy balance and we show that the adiabatic condition remains valid once it is satisfied. This model clearly illustrates the theoretical treatment to study the long range adiabatic frequency sweeping events observed for Alfvén gap modes in real experiments.
Observational constraints on the effective climate sensitivity from the historical period
Authors: Tokarska Katarzyna B , Hegerl Gabriele C , Schurer Andrew P , Forster Piers M , Marvel Kate 
Published: March 2020

Abstract
The observed warming in the atmosphere and ocean can be used to estimate the climate sensitivity linked to present-day feedbacks, which is referred to as the effective climate sensitivity (Shist
). However, such an estimate is affected by uncertainty in the radiative forcing, particularly aerosols, over the historical period. Here, we make use of detection and attribution techniques to derive the surface air temperature and ocean warming that can be attributed directly to greenhouse gas increases. These serve as inputs to a simple energy budget to infer the likelihood of Shist
in response to observed greenhouse gases increases over two time periods (1862–2012 and 1955–2012). The benefit of using greenhouse gas attributable quantities is that they are not subject to uncertainties in the aerosol forcing (other than uncertainty in the attribution to greenhouse gas versus aerosol forcing not captured by the multi-model aerosol response pattern). The resulting effective climate sensitivity estimate, Shist
, ranges from 1.3 °C to 3.1 °C (5%–95% range) over the full instrumental period (1862–2012) for our best estimate, and gets slightly wider when considering further uncertainties. This estimate increases to 1.7 °C–4.6 °C if using the shorter period (1955–2012). We also evaluate the climate model simulated surface air temperature and ocean heat content increase in response to greenhouse gas forcing over the same periods, and compare them with the observationally-constrained values. We find that that the ocean warming simulated in greenhouse gas only simulations in models considered here is consistent with that attributed to greenhouse gas increases from observations, while one model simulates more greenhouse gas-induced surface air warming than observed. However, other models with sensitivity outside our range show greenhouse gas warming that is consistent with that attributed in observations, emphasising that feedbacks during the historical period may differ from the feedbacks at CO2 doubling and from those at true equilibrium.
Surprisingly malleable public preferences for climate adaptation in forests
Authors: Findlater Kieran M , St-Laurent Guillaume Peterson , Hagerman Shannon , Kozak Robert 
Published: March 2020

Abstract
Researchers and policy-makers often assume that public preferences for climate change adaptation are positive and stable compared to those of mitigation. However, public judgments about adaptation in natural resource sectors (like forestry) require that people make difficult, value-laden and uncertain trade-offs across complex social-ecological systems. The deliberative methods (e.g. focus groups and in-depth interviews) that are typically used to explore the malleability of these judgments may underestimate the level of preference malleability in broader publics by encouraging participants to rationalize their choices in relation to their own knowledge, values and beliefs, as well as those of others. Here, we use a public survey (N = 1926) from British Columbia, Canada—where forestry is economically, environmentally and culturally vital—to investigate the malleability of public preferences for genomics-based assisted migration (AM) for climate change adaptation in forests. Following an initial judgment, respondents are given new information about AM’s potential implementation and impacts—simple messages similar to those that they might encounter through traditional and social media. The results show that respondents’ initial judgments are surprisingly malleable, and prone to large bi-directional shifts across all message types. The magnitude of this malleability is related to the degree of the proposed intervention, the type of message, and individuals’ demographic and psychographic characteristics. These results suggest that high levels of initial public support may be illusory, and that more attention should be paid to the potential for malleability, controversy and contradiction as adaptation policies are developed and implemented. Process-based arguments related to transparent, evidence-based and adaptive governance may be more influential than risk-based arguments related to climate change and economic impacts.