bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nuclear receptor REVERBα is a state-dependent regulator of liver energy metabolism
Authors: Hunter A. Louise , Pelekanou Charlotte E. , Adamson Antony , Downton Polly , Barron Nichola J. , Cornfield Thomas , Poolman Toryn M. , Humphreys Neil , Cunningham Peter S. , Hodson Leanne , Loudon Andrew S. I. , Iqbal Mudassar , Bechtold David A. , Ray David W. 
Published: September 2020

Significance
The circadian clock protein REVERBα is proposed to be a key regulator of liver metabolism. We now show that REVERBα action is critically dependent on metabolic state. Using transgenic mouse models, we show that the true role of REVERBα is to buffer against aberrant responses to metabolic perturbation, rather than confer rhythmic regulation to programs of lipid synthesis and storage, as has been thought previously. Thus, in the case of liver metabolism, the clock does not so much drive rhythmic processes, as provide protection against mistimed feeding cues. Understanding how the clock is coupled to metabolism is critical for understanding metabolic disease and the impacts of circadian disruptors such as shift work and 24-h lifestyles.
Roboticizing fabric by integrating functional fibers
Authors: Buckner Trevor L. , Bilodeau R. Adam , Kim Sang Yup , Kramer-Bottiglio Rebecca 
Published: September 2020

Significance
Fabrics are key materials for a variety of applications that require flexibility, breathability, small storage footprint, and low weight. While fabrics are conventionally passive materials with static properties, emerging technologies have provided many flexible materials that can respond to external stimuli for actuation, structural control, and sensing. Here, we improve upon and process these responsive materials into functional fibers that we integrate into everyday fabrics and demonstrate as fabric-based robots that move, support loads, and allow closed-loop controls, all while retaining the desirable qualities of fabric. Robotic fabrics present a means to create smart adaptable clothing, self-deployable shelters, and lightweight shape-changing machinery.
Generation of thermofield double states and critical ground states with a quantum computer
Authors: Zhu D. , Johri S. , Linke N. M. , Landsman K. A. , Huerta Alderete C. , Nguyen N. H. , Matsuura A. Y. , Hsieh T. H. , Monroe C. 
Published: September 2020

Significance
Our experiment prepares two types of nontrivial quantum states on a trapped ion quantum computer: the thermofield double state of the transverse-field Ising model at arbitrary temperature and the quantum critical state of the zero-temperature model. We use techniques motivated by the quantum approximate optimization algorithm, and we implement a hybrid quantum–classical optimization loop to prepare the quantum critical state. Our results pave the way for exploring strongly correlated models at finite temperature and teleportation protocols inspired by black hole physics.
Adaptive introgression from maize has facilitated the establishment of teosinte as a noxious weed in Europe
Authors: Le Corre Valérie , Siol Mathieu , Vigouroux Yves , Tenaillon Maud I. , Délye Christophe 
Published: September 2020

Significance
The emergence of noxious weeds poses a serious threat to agricultural production. Understanding their origin and evolution is therefore of major importance. Here we analyzed the intriguing case of teosinte, a wild relative of maize originating from Mexico that recently emerged as an invasive weed in maize fields in Europe. Patterns of genetic variation revealed extensive genetic introgression from maize adapted to temperate latitudes into European teosintes. Introgressed genomic regions harbored a key flowering time gene and an herbicide resistance gene. Our results exemplify how adaptive introgression can drive the evolution of a crop’s wild relative into a weed. Hybridization is an evolutionary force that should not be underestimated when forecasting invasiveness risks.
Global COVID-19 pandemic demands joint interventions for the suppression of future waves
Authors: Li Ruiyun , Chen Bin , Zhang Tao , Ren Zhehao , Song Yimeng , Xiao Yixiong , Hou Lin , Cai Jun , Xu Bo , Li Miao , Chan Karen Kie Yan , Tu Ying , Yang Mu , Yang Jing , Liu Zhaoyang , Shen Chong , Wang Che , Xu Lei , Liu Qiyong , Bao Shuming , Zhang Jianqin , Bi Yuhai , Bai Yuqi , Deng Ke , Zhang Wusheng , Huang Wenyu , Whittington Jason D. , Stenseth Nils Chr. , Guan Dabo , Gong Peng , Xu Bing 
Published: September 2020

Significance
By linking seasonality of climate and changing human behavior, we demonstrate that collaboration on global efforts for prompt and intensive intervention is fundamental to coping with future pandemic waves of COVID-19. We propose that this collaboration can be started in locations with typically high population density and international travel, followed by other high-risk locations. We believe this tiered intervention strategy can greatly integrate global efforts and is effective and practical to improve the global emergency response to COVID-19 and many other infectious diseases.
Genetic nurturing, missing heritability, and causal analysis in genetic statistics
Authors: Shen Hao , Feldman Marcus W. 
Published: September 2020

Significance
Correlation between genotypes and phenotypes can be produced by genetic nurturing, namely the effect of parents’ genotypes on their offspring’s phenotypes through the parents’ phenotypes. Population subdivision and assortative mating can give rise to correlations between genotypes and phenotypes similar to those due to genetic nurturing. Variances and correlations may not reveal causal relationships in the presence of these complexities. We analyze mechanistic models of genetic nurturing, population subdivision, and assortative mating and compare these with results obtained within the framework of modern causal analysis. Our results clarify statistical signals emanating from correlations between nontransmitted alleles and offspring phenotypes and reveal difficulties with standard linear models in the interpretation of heritability, in particular, the concept of missing heritability.
TiO2 modified orthocortical and paracortical cells having enhanced photocatalytic degradation and photoreduction properties
Authors: Chen Wendou , Zhang Hui , Chen Tianyu , Yang Limeng , Wu Hailiang , Tong Zhi , Mao Ningtao 
Published: September 2020

Abstract
In this study, cortical cells resultant from wool fibers were loaded with TiO2 nanoparticles in a hydrothermal process and were then engineered as organic-nonorganic hybrid composite photocatalysts for both photodegradation of organic dyes and photoreduction of heavy metal ions. The microstructure and photocatalytic properties of TiO2 modified cortical cells (i.e. both orthocortical and paracortical cells) were systematically characterized using a series of analytical techniques including FESEM, TEM, element analysis, Mott–Schottky curve, BET specific surface area, Zeta potentials, as well as XRD, FTIR, XPS, DRS, PL, UPS, EDS and ESR spectra. Their photocatalytic performance and trapping experiments of the TiO2 modified cortical cells were measured in the photodegradation of methylene blue (MB) dye and Congo Red (CR) dye as well as the photoreduction of Cr(VI) ions under visible light irradiation. It was found that anatase TiO2 nanoparticles were chemically grafted on the surface of the two cortical cells via O–Ti4+/O–Ti3+ bonds, and that TiO2 nanoparticles were formed inside the orthocortical cells in the hydrothermal process. The TiO2 modified orthocortical and paracortical cells possessed much higher photocatalytic efficiency than the commercially available TiO2 nanoparticle powder, Degussa P25, in the photodegradation of cationic MB dye and photoreduction of Cr(VI) ions, while their photocatalytic efficiency in the photodegradation of anionic CR dye is smaller because of their greater negative Zeta potentials and photogenerated holes as the main reactive radical species. In comparison with the TiO2 modified paracortical cells, the higher photocatalytic efficiency of the TiO2 modified orthocortical cells was demonstrated in the photodegradation of MB dye solution and this might be due to both the S-doped TiO2 nanoparticles infiltrated into the naturally hydrophilic orthocortical cells and the primary reactive radical species of photogenerated holes being trapped in the cells.
Patient-adaptable intracranial pressure morphology analysis using a probabilistic model-based approach
Authors: Rashidinejad Paria , Hu Xiao , Russell Stuart 
Published: September 2020

AbstractObjective: We present a framework for analyzing the morphology of intracranial pressure (ICP). The analysis of ICP signals is challenging due to the non-linear and non-Gaussian characteristics of the signal dynamics, inevitable corruption by noise and artifacts, and variations in ICP pulse morphology among individuals with different neurological conditions. Existing frameworks make unrealistic assumptions regarding ICP dynamics and are not tuned for individual patients.Approach: We propose a dynamic Bayesian network for automated detection of three major ICP pulsatile components. The proposed model captures the non-linear and non-Gaussian dynamics of ICP morphology and further adapts to a patient as the individual’s ICP measurements are received. To make the approach more robust, we leverageevidence reversaland present an inference algorithm to obtain the posterior distribution over the locations of pulsatile components.Main results: We evaluate our approach on a dataset with over 700 h of recordings from 66 neurological patients, where the pulsatile components were annotated by prior studies. The algorithm obtains accuracies of 96.56%, 92.39%, and 94.04% for the detection of each pulsatile component in the test set, showing significant improvement over existing approaches.Significance: Continuous ICP monitoring is essential in guiding the treatment of neurological conditions such as traumatic brain injuries. An automated approach for ICP morphology analysis is a step towards enhancing patient care with minimal supervision. Compared to previous methods, our framework offers several advantages. It learns the parameters that model each patient’s ICP in an unsupervised manner, resulting in an accurate morphology analysis. The Bayesian model-based framework provides uncertainty estimates and reveals interesting facts about the ICP dynamics. The framework can readily be applied to replace existing morphological analysis methods and support the use of ICP pulse morphological features to aid the monitoring of pathophysiological changes of relevance to the care of patients with acute brain injuries.
Dielectric, impedance and modulus spectroscopy of Pb(Zr0.52−x
Ce
x
Ti0.48)O3 (x = 0.00, 0.10) ferroelectric ceramics
Authors: Tiwari Balgovind , Babu T , Choudhary R N P 
Published: September 2020

Abstract
Lead zirconate titanate (PZT) ceramics of morphotropical phase boundary (MPB) composition shows enhanced physical properties on modification with suitable ions. In this work, Pb(Zr0.52-xCe
x
Ti0.48)O3, x = 0.00, 0.10 (PZCT) ferroelectric ceramics have been synthesized by solid state synthesis route. The ferroelectric nature of samples is confirmed by their transition of phase from the ferroelectric phase to the paraelectric phase. At 1 MHz frequency, the Curie temperature (T
c
) of the material is slightly decreased to ∼375 °C from ∼377 °C. But at the aforementioned frequency, the magnitude of relative dielectric constant (ϵ

r
) has been enhanced to ∼282 from ∼264 due to the substitution of cerium (Ce+4) ions at the zirconium site. Even at higher frequencies ranging from 1 kHz to 1 MHz, Ce modified PZT has shown negligible tangent loss (tan δ) upto 350 °C. The electrical response of the material is mainly governed by grain interiors only not by grain boundaries and electrode-interface. Electric modulus formalism analysis confirmed the occurrence of non-Debye type of electrical relaxation phenomenon in the material. The electrical conduction of the material is a thermally activated phenomenon, and it is governed by Jonscher's power law. The decrease in resistance of the compounds, with rise in temperature, indicate their semiconductor behavior (i.e. negative temperature coefficient of resistance behavior) at higher temperatures.
The vimentin cytoskeleton: when polymer physics meets cell biology
Authors: Patteson Alison E , Carroll Robert J , Iwamoto Daniel V , Janmey Paul A 
Published: September 2020

Abstract
The proper functions of tissues depend on the ability of cells to withstand stress and maintain shape. Central to this process is the cytoskeleton, comprised of three polymeric networks: F-actin, microtubules, and intermediate filaments (IFs). IF proteins are among the most abundant cytoskeletal proteins in cells; yet they remain some of the least understood. Their structure and function deviate from those of their cytoskeletal partners, F-actin and microtubules. IF networks show a unique combination of extensibility, flexibility and toughness that confers mechanical resilience to the cell. Vimentin is an IF protein expressed in mesenchymal cells. This review highlights exciting new results on the physical biology of vimentin intermediate filaments and their role in allowing whole cells and tissues to cope with stress.
Non-linear extended MHD simulations of type-I edge localised mode cycles in ASDEX Upgrade and their underlying triggering mechanism
Authors: Cathey A. , Hoelzl M. , Lackner K. , Huijsmans G.T.A. , Dunne M.G. , Wolfrum E. , Pamela S.J.P. , Orain F. , Günter S. 
Published: September 2020

Abstract
A triggering mechanism responsible for the explosive onset of edge localised modes (ELMs) in fusion plasmas is identified by performing, for the first time, non-linear magnetohydrodynamic simulations of repetitive type-I ELMs. Briefly prior to the ELM crash, destabilising and stabilising terms are affected at different timescales by an increasingly ergodic magnetic field caused by non-linear interactions between the axisymmetric background plasma and growing non-axisymmetric perturbations. The separation of timescales prompts the explosive, i.e. faster than exponential, growth of an ELM crash which lasts

∼
500

μ

s

. The duration and size of the simulated ELM crashes compare qualitatively well with type-I ELMs in ASDEX Upgrade. As expected for type-I ELMs, a direct proportionality between the heating power in the simulations and the ELM repetition frequency is obtained. The simulations presented here are a major step forward towards predictive modelling of ELMs and of the assessment of mitigation techniques in ITER and other future tokamaks.
Design of flow cytometer liquid circuit control system based on incremental PID algorithm
Authors: Yu Lihua , Song Shuxiang 
Published: September 2020

Abstract
In the application and design of the flow cytometry, the problem of controlling the flow rate of liquid sample should be considered, which is directly related to the test performance of the instrument. In this paper, a flow cytometer liquid path controlling system based on incremental PID algorithm is designed. The STM32F429 is used as the core control chip, and a negative feedback correction network is introduced. At the same time, the incremental PID algorithm is used to control the speed of electronic motor. Combining with the hardware circuit, the automatic regulation and control of the flow rate of liquid path sample are realized. The experimental results show that the real-time sample flow can approach to the set value quickly and stably after the sampling started in this system. When different target values are set, the error between the measured value and the set value is less than 3%. The system is simple in design, high accuracy and stability, and can meet the requirements of intelligent control and high efficiency and precision in modern industrial instruments.
Analysis on vibration coupling characteristics of high-speed gears in two-shift AMT
Authors: Sun Danting , Song Qiang , Zhang Wei 
Published: September 2020

Abstract
In order to study the vibration coupling influence of no-load gear on the loaded gear with the driving motor speed increasing for pure electric vehicles, a two-shift automated mechanical transmission (AMT) is researched. Nonlinear dynamic models of the shift II gear pair and the coupled relationship between the two gear pairs are established. Vibration characteristics of the shift II gear pair under different speeds are analysed. The results show that the multi-gear coupling vibration makes the system easier to enter into complex multi-period motion or chaos at high speed, thus increasing the noise of the drive system.
Research on erosion model based on AISI 8630
Authors: Rong Xin , Zhu Hongwu 
Published: September 2020

Abstract
Subsea oil tree is the key equipment for offshore oil and gas extraction, and erosion will cause wall-thinning phenomenon of equipment, which will decrease the equipment’s pressure-bearing capacity and cause great safety risks. In this paper, a new erosion model is proposed by studying the erosion law of the common material (AISI 8630) in subsea tree. The mechanism of erosion is explained by observing the change in the surface micro-morphology of the erosion pit photographed by scanning-electron microscope. The effect of five factors including particle size, particle impact velocity, particle impact angle, particle concentration and impact duration on the erosion are also investigated. And the AISI 8630 erosion model is obtained through data analysis. By comparing the results of experiment and numerical simulation, it is found that the simulation error of the AISI 8630 erosion model is the smallest between four common erosion models. So, it can be concluded that the AISI 8630 erosion model can be used to study the erosion of underwater tree.
Reduced conservation error of kinetic energy using a Runge-Kutta algorithm with reduced numerical dissipation
Authors: Suzuki Hiroki , Hasebe Koudai , Hasegawa Yutaka , Ushijima Tatsuo 
Published: September 2020

Abstract
This paper describes an approach that reduces the error in the conservation law of velocity fluctuation intensities and turbulent kinetic energy resulting from a numerical analysis of incompressible flow. The optimized fourth-order Runge-Kutta method used to analyze acoustic problems in previous studies was used here to reduce the numerical dissipation. In order to strictly validate the conservation law of velocity fluctuation intensities and turbulent kinetic energy, the authors used a periodic box filled with an inviscid flow, where velocity fluctuation intensities and turbulent kinetic energy could be analytically held. By using the optimized Runge-Kutta method, the numerical dissipation, which is the error in conservation laws, is of the order of 1/100. The reduction in the numerical dissipation shown in this study increased with an increasing time increment. To investigate the effect of numerical dissipation, higher-order statistics of turbulent kinetic energy were calculated. This study also derived a simple mathematical form to estimate the conservation error of higher-order statistics for turbulent kinetic energy.
Influence of synthetic jet in crossflow configuration on heat transfer enhancement
Authors: Xiang Liping , Liu Yueyue , Huang Kunrong , Huang Yi 
Published: September 2020

Abstract
A two-dimensional computational model was developed to investigate the effect of synthetic jet interaction with crossflow in channel on the cooling of heat wall. A range of parametric studies by varying membrane oscillating amplitudes and inlet velocities of channel was conducted. The resulting complex, conjugate heat dissipation was analysed. The synthetic jet interacts with the channel flow and gives rise to heat dissipation enhancement at the heated wall. The upstream heat transfer deteriorates in the jet hole, and the heat transfer in the downstream region has improved.
The design of pneumatic manipulator for optical shaft production line
Authors: Jin Zuoyong , Meng Lijun 
Published: September 2020

Abstract
Manipulator is a powerful tool for human to work safely, realize production automation and improve labor productivity. On the basis of summarizing the research and development status of manipulator, this paper comprehensively analyzes the function of pneumatic carrying manipulator on optical axis production line, and combines the actual project of the enterprise to design the mechanical and electrical integration of pneumatic carrying manipulator. This paper analyzes the performance requirements and working characteristics of pneumatic conveying manipulator and combines with the characteristics of optical shaft production line. I comprehensively analyzed and designed the mechanical structure, drive system, transmission mode and its stability of the manipulator.
A new model to resolve technical problems
Authors: Zhang Shijun , Zhang Teng , Wang Haijie 
Published: September 2020

Abstract
The Algorithm for Inventive Problem Solving (ARIZ) is a very good tool to solve complicated problems. However, it is fussy to get a specific solution under the guides of ARIZ in the Theory of Inventive Problem Solving (TRIZ). A novel approach to getting solutions for inventive problem solving in TRIZ is shown in this paper. A model named 5-R model of finding specific solutions was developed. 5-R model has four steps to obtain specific suggested solutions for technical problems. Reason-occurred-analysis is the first step in this new model. Then a clear statement of the Ideal Final Result is used to encourage breakthrough thinking and get solutions to the problem. After that, suggested resolutions can be obtained with the Contradiction Matrix, the Physical Contradiction, the Substance-Field, the Effects, Function Analysis, System Enhancement route, and Substance-Field Analysis. Finally, a reasonable specific solution for innovative problem solving can be gotten using resource analysis. 5-R model is not difficult to learn and remember. 5-R model improves the efficiency of getting solutions with TRIZ. Finally, a practical engineering problem was solved using this now model successfully.
Research on electro-hydraulic control technology of train with long distance self-moving equipment
Authors: Song Tao , Zhang Fan 
Published: September 2020

Abstract
Aiming at the problems of manual laying of tracks, sliding car and dropping lanes in the process of traditional train transportation of winch traction equipment, this paper presents a long-distance self-moving equipment train, which is powered by hydraulic pressure, self-contained track, highly integrated train self-moving, walking deviation, anti-dropping and other functions, so as to realize the striding forward movement of the whole equipment train driven by the traction device. Innovative adopt of loop liquid supply, multiple group remote control and other technologies, and using multi-master control, and high reliability, strong anti-interference CAN (Controller Area Network) fieldbus real-time control network, it ensures the synchronous and smooth lifting of the train, and it moves forward with the self-moving traction device. Thereby, the automatic system development and demonstration application of the fully mechanized mining equipment can be realized.
Stability evaluation of transmission tower above the goaf by fuzzy comprehensive evaluation method and analytic hierarchy process
Authors: Qi Wenyan , Ye Fang , Qi Wenyue , Li Tian , Guan Sensen , Fu Siwei , Zhang Xunda , Chen Shaoyu 
Published: September 2020

Abstract
Combination of the load-bearing conditions, the tower shape and service time, and the geological and basic conditions of the service environment of the tower, various factors that influence the stability of the towering tower near goaf were classified by using fuzzy comprehensive evaluation method and AHP, and the influence factor model was established. The impact factors were evaluated from low to high, the influence of the geological and basic conditions of the service environment is maximal, and determined the approximate rock roadway is stable and no measures need to take to improve the stability of the tower.