bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Self-supported Graphene/Carbon Nanotube Hollow Fiber for Integrated Energy Conversion and Storage
Authors: Liu Kai , Chen Zilin , Lv Tian , Yao Yao , Li Ning , Li Huili , Chen Tao 
Published: February 2020

AbstractWearable fiber-shaped integrated energy conversion and storage devices have attracted increasing attention, but it remains a big challenge to achieve a common fiber electrode for both energy conversion and storage with high performance. Here, we grow aligned carbon nanotubes (CNTs) array on continuous graphene (G) tube, and their seamlessly connected structure provides the obtained G/CNTs composite fiber with a unique self-supported hollow structure. Taking advantage of the hollow structure, other active materials (e.g., polyaniline, PANI) could be easily functionalized on both inner and outer surfaces of the tube, and the obtained G/CNTs/PANI composite hollow fibers achieve a high mass loading (90%) of PANI. The G/CNTs/PANI composite hollow fibers can not only be used for high-performance fiber-shaped supercapacitor with large specific capacitance of 472 mF cm−2, but also can replace platinum wire to build fiber-shaped dye-sensitized solar cell (DSSC) with a high power conversion efficiency of 4.20%. As desired, the integrated device of DSSC and supercapacitor with the G/CNTs/PANI composite hollow fiber used as the common electrode exhibits a total power conversion and storage efficiency as high as 2.1%. Furthermore, the self-supported G/CNTs hollow fiber could be further functionalized with other active materials for building other flexible and wearable electronics.
Parents still matter! Parental warmth predicts adolescent brain function and anxiety and depressive symptoms 2 years later
Authors: Butterfield Rosalind D. , Silk Jennifer S. , Lee Kyung Hwa , Siegle Greg S. , Dahl Ronald E. , Forbes Erika E. , Ryan Neal D. , Hooley Jill M. , Ladouceur Cecile D. 
Published: February 2020

AbstractAnxiety is the most prevalent psychological disorder among youth, and even following treatment, it confers risk for anxiety relapse and the development of depression. Anxiety disorders are associated with heightened response to negative affective stimuli in the brain networks that underlie emotion processing. One factor that can attenuate the symptoms of anxiety and depression in high-risk youth is parental warmth. The current study investigates whether parental warmth helps to protect against future anxiety and depressive symptoms in adolescents with histories of anxiety and whether neural functioning in the brain regions that are implicated in emotion processing and regulation can account for this link. Following treatment for anxiety disorder (Time 1), 30 adolescents (Mage = 11.58,SD= 1.26) reported on maternal warmth, and 2 years later (Time 2) they participated in a functional neuroimaging task where they listened to prerecorded criticism and neutral statements from a parent. Higher maternal warmth predicted lower neural activation during criticism, compared with the response during neutral statements, in the left amygdala, bilateral insula, subgenual anterior cingulate (sgACC), right ventrolateral prefrontal cortex, and anterior cingulate cortex. Maternal warmth was associated with adolescents’ anxiety and depressive symptoms due to the indirect effects of sgACC activation, suggesting that parenting may attenuate risk for internalizing through its effects on brain function.
A channel-based perspective on conjugate priors
Authors: Jacobs B. 
Published: February 2020

AbstractA desired closure property in Bayesian probability is that an updated posterior distribution be in the same class of distributions – say Gaussians – as the prior distribution. When the updating takes place via a statistical model, one calls the class of prior distributions the ‘conjugate priors’ of the model. This paper gives (1) an abstract formulation of this notion of conjugate prior, using channels, in a graphical language, (2) a simple abstract proof that such conjugate priors yield Bayesian inversions and (3) an extension to multiple updates. The theory is illustrated with several standard examples.
Urban Renewal Can Mitigate Urban Heat Islands
Authors: Wang Wei , Shu Jiong 
Published: February 2020

AbstractHow can urban renewal effectively contribute to urban climate? Shanghai, one of the world's first metropolises to utilize effective urban heat island (UHI) mitigation strategies, is investigated by analyzing meteorological and land use observations over the past 144 years. The UHI decreased by ~0.58 °C between 2005 and 2016 due to urban renewal characterized by an increase in vegetation cover and the closure of the high‐energy consumption industries in urban areas. Simulation results also indicate that future mitigation strategies should strive to increase vegetation cover, as a 10–20% increase in vegetation cover is anticipated to reduce the UHI by 0.38–0.78 °C, resulting in potential electricity savings of 3.05–5.79 × 108 kWh/year, which correspond to a carbon emissions reduction of 2.47–4.68 × 105 tCO2/year. The results will contribute to improve urban climate associated with large‐scale urbanization and will provide guidance for urban renewal in other metropolises worldwide.
A Machine Learning Approach to Developing Ground Motion Models From Simulated Ground Motions
Authors: Withers Kyle B. , Moschetti Morgan P. , Thompson Eric M. 
Published: February 2020

AbstractWe use a machine learning approach to build a ground motion model (GMM) from a synthetic database of ground motions extracted from the Southern California CyberShake study. An artificial neural network is used to find the optimal weights that best fit the target data (without overfitting), with input parameters chosen to match that of state‐of‐the‐art GMMs. We validate our synthetic‐based GMM with empirically based GMMs derived from the globally based Next Generation Attenuation West2 data set, finding near‐zero median residuals and similar amplitude and trends (with period) of total variability. Additionally, we find that the artificial neural network GMM has similar bias and variability to empirical GMMs from records of the recent
Ridgecrest event, which neither GMM has included in its formulation. As simulations continue to better model broadband ground motions, machine learning provides a way to utilize the vast amount of synthetically generated data and guide future parameterization of GMMs.
Quantifying Event‐Specific Radial Diffusion Coefficients of Radiation Belt Electrons With the PPMLR‐MHD Simulation
Authors: Li Li‐Fang , Tu Weichao , Dai Lei , Tang Bin‐Bin , Wang Chi , Barani Mohammad , Zeng Gang , Wei Chao , Burch J.L. 
Published: February 2020

AbstractUsing the global Lagrangian version of the piecewise parabolic method‐magnetohydrodynamic (PPMLR‐MHD) model, we simulate two consecutive storms in December 2015, a moderate storm on 14–15 December and a strong storm on 19–22 December, and calculate the radial diffusion coefficients (DLL) from the simulated ultralow frequency waves. We find that even though the strong storm leads to more enhanced Bz and Eφ power than the moderate storm, the two storms share in common a lot of features on the azimuthal mode structure and power spectrum of ultralow frequency waves. For both storms, the total Bz and Eφ power is better correlated with the solar wind dynamic pressure in the storm initial phase and more correlated with AE index in the recovery phase. Bz wave power is shown to be mostly distributed in low mode numbers, while Eφ power spreads over a wider range of modes. Furthermore, the Bz and Eφ power spectral densities are found to be higher at higher L regions, with a stronger L dependence in the Bz spectra. The estimated DLL based on MHD fields shows that inside the magnetopause, the contribution from electric fields is larger than or comparable to that from magnetic fields, and our event‐specific MHD‐based DLL can be smaller than some previous empirical DLL estimations by more than an order of magnitude. At last, by validating against in situ observations from Magnetospheric Multiscale spacecraft, our MHD results are found to generally well reproduce the total Bz fields and wave power for both storms, while the Eφ power is underestimated in the MHD simulations.
Reply to Comment by Jie Qin and Teng Wu on “A Modified Particle Filter‐Based Data Assimilation Method for a High‐Precision 2‐D Hydrodynamic Model Considering Spatial‐Temporal Variability of Roughness: Simulation of Dam‐Break Flood Inundation”
Authors: Cao Yin , Ye Yuntao , Liang Lili , Zhao Hongli , Jiang Yunzhong , Wang Hao , Yi Zhenyan , Shang Yizi , Yan Dengming 
Published: February 2020

Key Points

The MPFDA‐LW could offset the unknown model errors by only adjusting the Manning's roughness coefficient
The observation error in the MPFDA‐LW was determined by sensitivity analysis due to unknown truth observation error
In order to improve the prediction of whole flood process, water stages observed in a regional scale should be assimilated
High-frequency neuronavigated rTMS effect on clinical symptoms and cognitive dysfunction: a pilot double-blind, randomized controlled study in Veterans with schizophrenia
Authors: Guan Heng Yong , Zhao Jian Min , Wang Ke Qiang , Su Xiu Ru , Pan Yan Fen , Guo Jin Ming , Jiang Long , Wang Yu Hong , Liu Hong Yu , Sun Shi Guang , Wu Hao Ran , Ren Yan Ping , Geng Han Song , Liu Xiao Wen , Yu Hui Jing , Wei Bao Chun , Li Xi Po , Wu Hanjing Emily , Tan Shu Ping , Xiu Mei Hong , Zhang Xiang Yang 
Published: February 2020

AbstractCognitive impairment is a central aspect of schizophrenia (SCZ) that occurs at the onset of the disease and is related to poor social function and outcome in patients with SCZ. Recent literatures have revealed repetitive transcranial magnetic stimulation (rTMS) to be one of the efficient medical interventions for cognitive impairments. However, no study has been conducted to investigate the treatment effectiveness of 20 Hz rTMS with neuronavigation system administered to the left dorsolateral prefrontal cortex (DLPFC) in patients with schizophrenia. In this randomized, double-blind and sham-controlled study, 56 patients were enrolled in 20 Hz rTMS (n = 28) or sham stimulation (n = 28) over left DLPFC for 8 weeks. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was performed to measure the cognitive function at baseline and after 8 weeks of rTMS treatment. The positive and negative syndrome scales (PANSS) was performed to assess the clinical symptoms at baseline, after 2-week treatment, 4-week treatment, 6-week treatment, and 8-week treatment. Totally, 15 subjects (seven in active group and eight in sham group) dropped out during the trial and the main findings were from completed 41 patients. At 2 weeks, 4 weeks, and 6 weeks, there were no significant differences in PANSS total score and subscores between the sham and treatment groups. At 8 weeks, the 20 Hz rTMS significantly increased the immediate memory score compared with the sham. Furthermore, the improvement in the immediate memory score was correlated with the decrease in the excitement factor score of the patients with SCZ. Our results suggest that 20 Hz rTMS appears to be an effective treatment for improving the cognitive performance and reducing the clinical symptoms of patients with SCZ.
The new WHO classification for essential thrombocythemia calls for revision of available evidences
Authors: Barbui Tiziano , Thiele Jürgen , Ferrari Alberto , Vannucchi Alessandro M. , Tefferi Ayalew 
Published: February 2020

AbstractIn the 2016 revised classification of myeloproliferative neoplasms pre-fibrotic primary myelofibrosis (pre-PMF) was recognized as a separate entity, distinct from essential thrombocythemia (ET). Owing that the majority of cases falling in the pre-PMF category were previously diagnosed as ET, one may question about the need to re-evaluate the results of epidemiologic, clinical, and molecular studies, and the results of clinical trials in the two entities. Based on a critical review of recently published studies, pre-PMF usually presents with a distinct clinical and hematological presentation and higher frequency of constitutional symptoms. JAK2V617F and CALR mutations in pre-PMF patients are superimposable to ET, whereas non-driver high-risk mutations are enriched in pre-PMF compared with ET. Thrombosis is not significantly different, whereas bleeding is more frequent in pre-PMF. Median survival is significantly shorter in pre-PMF and 10-year cumulative rates progression to overt myelofibrosis is 0–1% vs. 10–12%, and leukemic transformation is 1–2% vs. 2–6%, in ET and pre-fibrotic-PMF, respectively. Most patients fall in the lower prognostic IPSS group in which observation alone can be recommended. Patients at intermediate risk may require a symptom-driven treatment for anemia, splenomegaly or constitutional symptoms while cytoreductive drugs are indicated in the high-risk category.
Blood mass spectrometry detects residual disease better than standard techniques in light-chain amyloidosis
Authors: Dispenzieri Angela , Arendt Bonnie , Dasari Surendra , Kohlhagen Mindy , Kourelis Taxiarchis , Kumar Shaji K. , Leung Nelson , Muchtar Eli , Buadi Francis K. , Warsame Rahma , Kyle Robert A. , Lacy Martha Q. , Dingli David , Kapoor Prashant , Gonsalves Wilson I. , Go Ronald S. , Hayman Suzanne R. , Hwa Yi Lisa , Fonder Amy , Hobbs Miriam , Jevremovic Dragan , Lust John A. , Zeldenrust Steven , Russell Steve J. , Rajkumar S. Vincent , Gertz Morie A. , Murray David 
Published: February 2020

AbstractIn patients with immunoglobulin light-chain (AL) amyloidosis, depth of hematologic response correlates with both organ response and overall survival. Our group has demonstrated that screening with a matrix-assisted laser desorption/ionization-time-of-flight (TOF) mass spectrometry (MS) is a quick, sensitive, and accurate means to diagnose and monitor the serum of patients with plasma cell disorders. Microflow liquid chromatography coupled with electrospray ionization and quadrupole TOF MS adds further sensitivity. We identified 33 patients with AL amyloidosis who achieved amyloid complete hematologic response, who also had negative bone marrow by six-color flow cytometry, and who had paired serum samples to test by MS. These samples were subjected to blood MS. Four patients (12%) were found to have residual disease by these techniques. The presence of residual disease by MS was associated with a poorer time to progression (at 50 months 75% versus 13%, p = 0.003). MS of the blood out-performed serum and urine immunofixation, the serum immunoglobulin free light chain, and six-color flow cytometry of the bone marrow in detecting residual disease. Additional studies that include urine MS and next-generation techniques to detect clonal plasma cells in the bone marrow will further elucidate the full potential of this technique.
Connecting energetics to dynamics in particle growth by oriented attachment using real-time observations
Authors: Liu Lili , Nakouzi Elias , Sushko Maria L. , Schenter Gregory K. , Mundy Christopher J. , Chun Jaehun , De Yoreo James J. 
Published: February 2020

AbstractThe interplay between crystal and solvent structure, interparticle forces and ensemble particle response dynamics governs the process of crystallization by oriented attachment (OA), yet a quantitative understanding is lacking. Using ZnO as a model system, we combine in situ TEM observations of single particle and ensemble assembly dynamics with simulations of interparticle forces and responses to relate experimentally derived interparticle potentials to the underlying interactions. We show that OA is driven by forces and torques due to a combination of electrostatic ion-solvent correlations and dipolar interactions that act at separations well beyond 5 nm. Importantly, coalignment is achieved before particles reach separations at which strong attractions drive the final jump to contact. The observed barrier to attachment is negligible, while dissipative factors in the quasi-2D confinement of the TEM fluid cell lead to abnormal diffusivities with timescales for rotation much less than for translation, thus enabling OA to dominate.
A silicate dynamo in the early Earth
Authors: Stixrude Lars , Scipioni Roberto , Desjarlais Michael P. 
Published: February 2020

AbstractThe Earth’s magnetic field has operated for at least 3.4 billion years, yet how the ancient field was produced is still unknown. The core in the early Earth was surrounded by a molten silicate layer, a basal magma ocean that may have survived for more than one billion years. Here we use density functional theory-based molecular dynamics simulations to predict the electrical conductivity of silicate liquid at the conditions of the basal magma ocean: 100–140 GPa, and 4000–6000 K. We find that the electrical conductivity exceeds 10,000 S/m, more than 100 times that measured in silicate liquids at low pressure and temperature. The magnetic Reynolds number computed from our results exceeds the threshold for dynamo activity and the magnetic field strength is similar to that observed in the Archean paleomagnetic record. We therefore conclude that the Archean field was produced by the basal magma ocean.
Silica accelerates the selective hydrogenation of CO2 to methanol on cobalt catalysts
Authors: Wang Lingxiang , Guan Erjia , Wang Yeqing , Wang Liang , Gong Zhongmiao , Cui Yi , Meng Xiangju , Gates Bruce C. , Xiao Feng-Shou 
Published: February 2020

AbstractThe reaction pathways on supported catalysts can be tuned by optimizing the catalyst structures, which helps the development of efficient catalysts. Such design is particularly desired for CO2 hydrogenation, which is characterized by complex pathways and multiple products. Here, we report an investigation of supported cobalt, which is known for its hydrocarbon production and ability to turn into a selective catalyst for methanol synthesis in CO2 hydrogenation which exhibits good activity and stability. The crucial technique is to use the silica, acting as a support and ligand, to modify the cobalt species via Co‒O‒SiOn linkages, which favor the reactivity of spectroscopically identified *CH3O intermediates, that more readily undergo hydrogenation to methanol than the C‒O dissociation associated with hydrocarbon formation. Cobalt catalysts in this class offer appealing opportunities for optimizing selectivity in CO2 hydrogenation and producing high-grade methanol. By identifying this function of silica, we provide support for rationally controlling these reaction pathways.
Optogenetic engineering to probe the molecular choreography of STIM1-mediated cell signaling
Authors: Ma Guolin , He Lian , Liu Shuzhong , Xie Jiansheng , Huang Zixian , Jing Ji , Lee Yi-Tsang , Wang Rui , Luo Hesheng , Han Weidong , Huang Yun , Zhou Yubin 
Published: February 2020

AbstractGenetically encoded photoswitches have enabled spatial and temporal control of cellular events to achieve tailored functions in living cells, but their applications to probe the structure-function relations of signaling proteins are still underexplored. We illustrate herein the incorporation of various blue light-responsive photoreceptors into modular domains of the stromal interaction molecule 1 (STIM1) to manipulate protein activity and faithfully recapitulate STIM1-mediated signaling events. Capitalizing on these optogenetic tools, we identify the molecular determinants required to mediate protein oligomerization, intramolecular conformational switch, and protein-target interactions. In parallel, we have applied these synthetic devices to enable light-inducible gating of calcium channels, conformational switch, dynamic protein-microtubule interactions and assembly of membrane contact sites in a reversible manner. Our optogenetic engineering approach can be broadly applied to aid the mechanistic dissection of cell signaling, as well as non-invasive interrogation of physiological processes with high precision.
Measuring single cell divisions in human tissues from multi-region sequencing data
Authors: Werner Benjamin , Case Jack , Williams Marc J. , Chkhaidze Ketevan , Temko Daniel , Fernández-Mateos Javier , Cresswell George D. , Nichol Daniel , Cross William , Spiteri Inmaculada , Huang Weini , Tomlinson Ian P. M. , Barnes Chris P. , Graham Trevor A. , Sottoriva Andrea 
Published: February 2020

AbstractBoth normal tissue development and cancer growth are driven by a branching process of cell division and mutation accumulation that leads to intra-tissue genetic heterogeneity. However, quantifying somatic evolution in humans remains challenging. Here, we show that multi-sample genomic data from a single time point of normal and cancer tissues contains information on single-cell divisions. We present a new theoretical framework that, applied to whole-genome sequencing data of healthy tissue and cancer, allows inferring the mutation rate and the cell survival/death rate per division. On average, we found that cells accumulate 1.14 mutations per cell division in healthy haematopoiesis and 1.37 mutations per division in brain development. In both tissues, cell survival was maximal during early development. Analysis of 131 biopsies from 16 tumours showed 4 to 100 times increased mutation rates compared to healthy development and substantial inter-patient variation of cell survival/death rates.
Entropy and interfacial energy driven self-healable polymers
Authors: Hornat Chris C. , Urban Marek W. 
Published: February 2020

AbstractAlthough significant advances have been achieved in dynamic reversible covalent and non-covalent bonding chemistries for self-healing polymers, an ultimate goal is to create high strength and stiffness commodity materials capable of repair without intervention under ambient conditions. Here we report the development of mechanically robust thermoplastic polyurethane fibers and films capable of autonomous self-healing under ambient conditions. Two mechanisms of self-healing are identified: viscoelastic shape memory (VESM) driven by conformational entropic energy stored during mechanical damage, and surface energy/tension that drives the reduction of newly generated surface areas created upon damage by shallowing and widening wounds until healed. The type of self-healing mechanism is molecular weight dependent. To the best of our knowledge these materials represent the strongest (Sf = 21 mN/tex, or σf ≈ 22 MPa) and stiffest (J = 300 mN/tex, or E ≈ 320 MPa) self-healing polymers able to repair under typical ambient conditions without intervention. Since two autonomous self-healing mechanisms result from viscoelastic behavior not specific to a particular polymer chemistry, they may serve as general approaches to design of other self-repairing commodity polymers.