bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent advances in mechanical strain engineering of low-dimensional semiconductors and their applications in high-performance quantum emitters
Authors: Tao Lue , Ou Weiwen , Li Yang , Liao Han , Zhang Jiaxiang , Gan Fuwan , Ou Xin 
Published: April 2020

Abstract
In the past decades, low-dimensional semiconductors received intensive research interest. By introducing intentionally size-confined nanostructures or crystal imperfections, low-dimensional semiconductors have been broadly exploited as zero-dimensional quantum dots (QDs) for high-performance quantum emitters. The QD-based nonclassical light sources allow not only the deterministic generation of single photons but also entangled-photon pairs. However, the randomness in strain, shape and composition in semiconductors results in unpredictable transition energies for different QDs. This complication impedes the generation of single and entangled photons with well-defined energies, which fundamentally limits the success probability of scalable quantum information technologies. Strain engineering, a unique and powerful method to reshape the electronic states of semiconductors, has advanced the development of all-solid-state low-dimensional semiconductor based single and entangled-photon sources. In this review, the recent progress of employing mechanical strain field to control the electronic states and optical properties of low-dimensional semiconductors is reviewed. A comprehensive summary of diverse strain engineered devices for engineering the exciton binding energy, the coherent coupling of electronic states, the optical properties of low-dimensional semiconductors including single and entangled photons are provided. In addition, prospects and challenges of deploying the strain-engineering technique for future scalable quantum networks and photonic quantum circuits are discussed.
Optimal synthesis of the Fredkin gate in a multilevel system
Authors: Liu Wen-Qiang , Wei Hai-Rui 
Published: April 2020

Abstract
The optimal cost of a three-qubit Fredkin gate is 5 two-qubit entangling gates, and the overhead climbs to 8 when restricted to controlled-not (CNOT) gates. By harnessing higher-dimensional Hilbert spaces, we reduce the cost of a three-qubit Fredkin gate from 8 CNOTs to 5 nearest-neighbor CNOTs. We also present a construction of an n-control-qubit Fredkin gate with 2n + 3 CNOTs and 2n single-qudit operations. Finally, we design deterministic and non-deterministic three-qubit Fredkin gates in photonic architectures. The cost of a non-deterministic three-qubit Fredkin gate is further reduced to 4 nearest-neighbor CNOTs, and the success of such a gate is heralded by a single-photon detector. Our insights bridge the gap between the theoretical lower bound and the current best result for the n-qubit quantum computation.
Non-equipotential effect observed on the surface of Ti/Si under uniform illumination
Authors: Mei Chunlian , Liu Shuai , Dong Anhua , Huang Xu , Yu Chongqi , Wang Hui 
Published: April 2020

Abstract
In this letter, a non-equipotential surface photovoltaic effect is reported in nano metal–semiconductor structures. When the surface of the Ti/Si is uniformly illuminated by a beam of light, a controllable surface photovoltaic effect is observed on the metal side. The center of the surface presents a remarkably higher metallic potential than the surrounding region. The surface photovoltage is detected to be as high as 53 mV. Besides, it depends sensitively on the thickness and size of the metal films, demonstrating it is a unique feature of nano metal films. We ascribe this phenomenon to the boundary effect of photon-generated carriers in the ultrathin metal thickness. The theoretical calculations based on equivalent electron diffusion model are in great agreement with the experimental results. The results may promise some novel applications based on the nanoscale metal–semiconductor systems.
Sea quark contributions to nucleon electromagnetic form factors with the nonlocal chiral effective Lagrangian *
Authors: Yang Ming-Yang , Wang Ping 
Published: April 2020

Abstract
The sea quark contributions to the nucleon electromagnetic form factors of the up, down and strange quarks are studied with the nonlocal chiral effective Lagrangian. Both octet and decuplet intermediate states are included in the one loop calculations. Compared with the strange quark form factors, although their signs are the same, the absolute value of the light quark form factors are much larger. For both the electric and magnetic form factors, the contribution of the d quark is larger than of the u quark. The current lattice simulations of the light sea quark form factors are in between our results for the u and dquarks.
The first excited single-proton resonance in 15F by complex-scaled Green's function method *
Authors: Shi Xin-Xing , Liu Quan , Ni Dong-Dong , Guo Jian-You , Ren Zhong-Zhou 
Published: April 2020

Abstract
The complex-scaled Green's function (CGF) method is employed to explore the single-proton resonance in 15F. Special attention is paid to the first excited resonant state 5/2+, which has been widely studied in both theory and experiments. However, past studies generally overestimated the width of the 5/2+ state. The predicted energy and width of the first excited resonant state 5/2+ by the CGF method are both in good agreement with the experimental value and close to Fortune's new estimation. Furthermore, the influence of the potential parameters and quadruple deformation effects on the resonant states are investigated in detail, which is helpful to the study of the shell structure evolution.
Single-particle space-momentum angle distribution effect on two-pion HBT correlation in high-energy heavy-ion collisions
Authors: Yang Hang , Feng Qichun , Ren Yanyv , Zhang Jingbo , Huo Lei 
Published: April 2020

Abstract
We analyze the transverse momentum dependence of HBT radii in relativistic heavy-ion collisions using several source models. Results indicate that the single-particle space-momentum angle distribution plays an important role in the transverse momentum dependence of HBT radii. In a cylinder source, we use several formulas to describe the transverse momentum dependence of HBT radii and the single-particle space-momentum angle distribution. We also make a numerical connection between them in the transverse plane.
A new cosmological probe using super-massive black hole shadows *
Authors: Qi Jing-Zhao , Zhang Xin 
Published: April 2020

Abstract
We study the prospects of using the low-redshift and high-redshift black hole shadows as new cosmological standard rulers for measuring cosmological parameters. We show that, using the low-redshift observation of the black hole shadow of

, the Hubble constant can be independently determined with a precision of about 13% as

km

. The high-redshift observations of super-massive black hole shadows may accurately determine a combination of parameters

and

, and we show by a simple simulation that combining them with the type Ia supernovae observations would give precise measurements of the cosmological parameters.
Quasinormal modes of charged black holes in Einstein-Maxwell-Weyl gravity *
Authors: Zou De-Cheng , Wu Chao , Zhang Ming , Yue Ruihong 
Published: April 2020

Abstract
We study quasinormal modes (QNMs) of charged black holes in the Einstein-Maxwell-Weyl (EMW) gravity by adopting the test scalar field perturbation. We find that the imaginary part of QNM frequencies is consistently negative for different angular parameters l, indicating that these modes always decay and are therefore stable. We do not observe a linear relationship between the QNM frequency ω and parameter p for these black holes, as their charge Q causes a nonlinear effect. We evaluate the massive scalar field perturbation in charged black holes and find that random long lived modes (i.e., quasiresonances) could exist in this spectrum.
Digital platform of scientific and technological competencies
Authors: Ilyina E A , Kurevlev M I , Mantsevich N M , Motkina Yu V , Sartori A V , Sushkov P V 
Published: April 2020

Abstract
Nowdays changes in the hitech market occur quickly. The higher ability of scientific organization to change, the higher its chances to become a technological and scientific leader. One of the key factors for the successful implementation of scientific developments is scientific and technical competencies that allow ones to correctly assess the current status in order to forecast the technological risks of both R&D company and its partners. Usually scientific and technical competences are based on sciencemetric indicators (scientific indices, publications, patents, etc.). However there are a lot of examples of successfully documented scientific results on paper, which are not followed by implementation into industry for whatever reasons. Therefore it is proposed in this report to modify the competence indicators set by adding of TRL indices of completed and current projects. A unified digital platform is supposed to include information base on sciencemetric indicators, existing technologies and ones under development, implemented and current R&D/scientific projects, experimental equipment database, computer codes, scientific and technical services of organizations within Rosatom State Corporation, as well as independent confirmation of this information from open sources. The platform will become a unified information array for a full description of scientific and technical competencies of R&D companies. The platform should cover not only the scientific organizations of the outline of the State Corporation, but also associated universities with the ability to describe the competences of scientific organizations form adjacent industries. The digital platform of scientific and technical competencies is a tool to effectively inform customers and potential partners to support decision-making process. The platform will allow to present data on scientific and technical activities in a single information space, use it to search for potential partners, and to exhibit Rosatom’s own capabilities to external users. The platform will allow users to establish R&D network which helps to launch new innovative projects.
SPH simulation of plastic deformation in high velocity impact welding process of 6061-T6 alloy plates
Authors: Emurlaeva Yu Yu , Aleksandrova N S , Bataev I A 
Published: April 2020

Abstract
In this study, the plastic deformation process of two plates of aluminum alloy 6061-T6 was simulated at different collision point velocities using the method of smoothed-particle hydrodynamics (SPH). The results of numerical simulation were compared with the results obtained in experimental and theoretical studies of other authors. The data obtained indicate that the SPH method reproduces the wavy interface between the plates, which was previously observed in numerous experiments. In addition, SPH simulation allows one to study in better detail the features of plastic deformation occurring near the interlayer boundaries, in particular at the vortex zones.
Neural simulation of ball mill grinding process
Authors: Zakamaldin A A , Shilin A A 
Published: April 2020

Abstract
This study is aimed at getting simplified model of mill filling technological process of fine crushing in a closed-circuit grinding with screen separation. Optimal and simple model structure are supposed to be used in adaptive predictive control loop. The minor factors that directly affect the mill load indicator are not taken into account, since some of them cannot be directly measured, and other ones affect the process only in the long term. In this paper the athors considered mill filling process identification in the center-discharge ball mill by the method of neural networks (NN). The method includes the identification of the nonlinear process using nonlinear autoregressive with external input (NARX) neural network. The most accurate model was found by varying the structural parameters of the network. The best models were tested in the course of the actual grinding process. The best estimation of the NN model to the real object is obtained with 72.1% match.
Information reservation of cyber-physical production of the Industry 4.0
Authors: Zakoldaev D A , Gurjanov A V , Shukalov A V , Zharinov I O 
Published: April 2020

Abstract
An actual task has been studied to organize informative reserving of the production data and link channels in the Industry 4.0 smart factory. Informative reserving principles in a digital company are done by duplicating informative link channels into a single company communication environment. Connection channels duplicating creates the production division informative redundancy for the technological operations completion results data. The smart factory informative reserving increase company functionality reliability and provides functional and informative smart factory functionality. There are schemes of cyber and physical production components informative reserving and types of connection channels are defined which are used as primary and reserve lines of the information transmission. There are ways of informative reserving based on the technologies of Bluetooth, Ethernet and Internet of Things (IoT). Main way of cyber and physical production informative reserving is done in system level and is duplicating of the IoT wireless channel with a wired channel of the Ethernet connection and transmitting of duplicating messages. Auxiliary way of cyber and physical production informative reserving is done in local level of the production data exchange among cyber and physical systems with a Bluetooth channel.
Analysis of Pressure and Dynamic Tests of the Blocked Wheel Pair
Authors: Shiler V V , Shiler A V , Galiev I I , Petrov G I 
Published: April 2020

Abstract
The paper describes a modular design of a wheelset. Three prototypes of wheelsets and track were manufactured using the π theorem. Full-scale wheelsets for a cargo car truck were also manufactured. The results compare the movement dynamics of conventional and modular wheel-sets mounted on cargo car trucks.
The Development of Digital Technologies in Mining Machinery Technical Maintenance
Authors: Klishin V I , Gerike B L , Mokrushev A A 
Published: April 2020

Abstract
Methods of functional diagnostics for technical conditions of rolling element bearings are studied in the paper. Their strengths and shortcomings are revealed. The model of shock pulses formation in the event of faults in the rolling element bearings is built. The possibility to apply wavelet-transformation for detecting these faults and defining technical condition of mining machinery assembly units is introduced.
Identification of Mathematical Model of Drying Unit
Authors: Perevoshchikov F P , Vuong N V , Shabo A K , Shilin A A 
Published: April 2020

Abstract
In air drainage systems, the process of reducing moisture content is based on its cooling down to the dew point and the precipitation of liquid into the condensate. Under isobaric cooling, the dew point temperature depends on the relative humidity and temperature in the drained space, which in turn can be controlled by the temperature of the heater and the air flow rate created by the fan, the main part of which is the electric drive.
Power Parameters Automated Calculation for Transmission with Intermediate Rolling Bodies and Free Cage
Authors: Efremenkov E A , Bonnard E 
Published: April 2020

Abstract
In the article, techniques complex of the transmission with IRBFC power parameters determination are considered. Moreover, software of automated calculation of the power parameters is created based on the techniques. The software consists of two parts: program of the mechanical transmission creating as a computer object; program of the graphical user interface creating. In general, the software makes it possible to determine the distribution of forces and contact stresses in engagement along the cycloidal profile of gear, to determine the maximum force and contact stress in engagement and to generate a file in excel format with all calculated data.
Association Between Cost-Related Medication Nonadherence and Hypertension Management Among US Adults
Authors: Fang Jing , Chang Tiffany , Wang Guijing , Loustalot Fleetwood 
Published: April 2020

Abstract

BACKGROUND
Medication nonadherence is an important element of uncontrolled hypertension. Financial factors frequently contribute to nonadherence. The objective of this study was to examine the association between cost-related medication nonadherence (CRMN) and self-reported antihypertensive medication use and self-reported normal blood pressure among US adults with self-reported hypertension.

METHODS
Participants with self-reported hypertension from the 2017 National Health Interview Survey were included (n = 7,498). CRMN was defined using standard questions. Hypertension management included: (i) self-reported current antihypertensive medication use and (ii) self-reported normal blood pressure within the past 12 months. Adjusted prevalence and prevalence ratios of hypertension management indicators among those with and without CRMN were estimated.

RESULTS
Overall, 10.7% reported CRMN, 83.6% reported current antihypertensive medication use, and 67.4% reported normal blood pressure within past 12 months. Adjusted percentages of current antihypertensive medication use (88.6% vs. 82.9%, P &lt; 0.001) and self-reported normal blood pressure (69.8% vs. 59.5%, P = 0.002) were higher among those without CRMN compared with those with CRMN. Adjusted prevalence ratios showed that, compared with those with CRMN, those without CRMN were more likely to report current antihypertensive medication use (odds ratio = 1.08, 95% confidence interval 1.04–1.12) and self-reported normal blood pressure (1.15 (1.07–1.23)).

CONCLUSIONS
Among US adults with self-reported hypertension, those without CRMN were more likely to report current antihypertensive medication use and normal blood pressure within the past 12 months. Financial barriers to medication adherence persist and impact hypertension management.
The Impact of Appetite-Regulating Neuropeptide Leptin on Alcohol Use, Alcohol Craving and Addictive Behavior: A Systematic Review of Preclinical and Clinical Data
Authors: Bach Patrick , Koopmann Anne , Kiefer Falk 
Published: April 2020

Abstract

Aims
The appetite regulating hormone leptin, which is mainly secreted from adipose tissue, is an important regulator of food intake and modulator of reward-driven behavior. Leptin exerts its biological actions via binding to the leptin receptor, which is expressed in the hypothalamus, but also in the hippocampus, the amygdala and the substantia nigra. In the ventral tegmental area (VTA), leptin attenuates the firing rate of dopaminergic neurons that project to the Nucleus accumbens (NAc), which serves as relay to other brain areas of the “addiction network”, such as the prefrontal cortex. This suggests that leptin plays a role in the processing of rewards in the context of substance use disorders such as alcohol use disorder, especially through attenuation of dopaminergic activity in the mesolimbic reward system. This supports the plausibility of leptin’s potential effects in alcohol use disorder.

Methods
We searched MEDLINE from 1990 to February 2020. All abstracts were screened for relevance and we only included publications reporting original data with a full text available in English language. Studies that did not report leptin-data, reviews or case reports/series were not included.

Results
We identified a total of N=293 studies of whom a total of N=55 preclinical and clinical studies met the specified criteria. N=40 studies investigated the effects of alcohol on leptin plasma levels, N=9 studies investigated the effects of leptin on alcohol craving and N=6 studies investigated the effects of leptin on relapse and alcohol consumption.

Conclusions
In this review of preclinical and clinical data, we assess the role of leptin in alcohol use and the development and maintenance of an alcohol use disorder, alcohol craving and relapse. Integrating the existing preclinical and clinical data on leptin may reveal new and innovative targets for the treatment of substance use disorders in the future.
Sex Differences in Functional Connectivity of the Salience, Default Mode, and Central Executive Networks in Youth with ASD
Authors: Lawrence Katherine E , Hernandez Leanna M , Bowman Hilary C , Padgaonkar Namita T , Fuster Emily , Jack Allison , Aylward Elizabeth , Gaab Nadine , Van Horn John D , Bernier Raphael A , Geschwind Daniel H , McPartland James C , Nelson Charles A , Webb Sara J , Pelphrey Kevin A , Green Shulamite A , Bookheimer Susan Y , Dapretto Mirella ,   GENDAAR Consortium
Published: April 2020

AbstractAutism spectrum disorder (ASD) is associated with the altered functional connectivity of 3 neurocognitive networks that are hypothesized to be central to the symptomatology of ASD: the salience network (SN), default mode network (DMN), and central executive network (CEN). Due to the considerably higher prevalence of ASD in males, however, previous studies examining these networks in ASD have used primarily male samples. It is thus unknown how these networks may be differentially impacted among females with ASD compared to males with ASD, and how such differences may compare to those observed in neurotypical individuals. Here, we investigated the functional connectivity of the SN, DMN, and CEN in a large, well-matched sample of girls and boys with and without ASD (169 youth, ages 8–17). Girls with ASD displayed greater functional connectivity between the DMN and CEN than boys with ASD, whereas typically developing girls and boys differed in SN functional connectivity only. Together, these results demonstrate that youth with ASD exhibit altered sex differences in these networks relative to what is observed in typical development, and highlight the importance of considering sex-related biological factors and participant sex when characterizing the neural mechanisms underlying ASD.