bluuebunny/crossref_metadata_2025 huggingface dataset:
The role of solute polarity on methanol–silica interfacial solvation: a molecular dynamics study
Authors: Ren Kezhou , Wang Yong-Peng , Liu Shule
Published: December 2020

PMFs of 1,3-propanediol and n-pentane at the methanol–silica interface.
Recent advances and perspectives on thin electrolytes for high-energy-density solid-state lithium batteries
Authors: Yang Xiaofei , Adair Keegan R. , Gao Xuejie , Sun Xueliang
Published: December 2020

This review summarizes the recent progress of thin solid-state electrolytes for high energy-density solid-state lithium batteries.
Activating the I0/I+ redox couple in an aqueous I2–Zn battery to achieve a high voltage plateau
Authors: Li Xinliang , Li Mian , Huang Zhaodong , Liang Guojin , Chen Ze , Yang Qi , Huang Qing , Zhi Chunyi
Published: December 2020

An inter-halogen strategy is proposed to activate and stabilize the unrealized I0/I+ redox in aqueous Zn ion batteries.
Effects of Pinus massoniana pollen polysaccharides on intestinal microenvironment and colitis in mice
Authors: Niu Xiangyun , Shang Hongqi , Chen Siyan , Chen Ruichang , Huang Jin , Miao Yongqiang , Cui Wenping , Wang Huan , Sha Zhou , Peng Duo , Zhu Ruiliang
Published: December 2020

The stability of the intestinal microenvironment is the basis for maintaining the normal physiological activities of the intestine.
Hunan insect tea polyphenols provide protection against gastric injury induced by HCl/ethanol through an antioxidant mechanism in mice
Authors: Wang Ranran , Sun Fengjun , Ren Chunyao , Zhai Liyan , Xiong Rongrong , Yang Yi , Yang Weiqing , Yi Ruokun , Li Chong , Zhao Xin
Published: December 2020

The purposes of this study were to explore the preventive and treatment effects of Hunan insect tea polyphenols (HITPs) on gastric injury in mice induced by HCl/ethanol and to investigate their molecular mechanisms of action.
Silicon determination in steel with molecular emission using laser-induced breakdown spectroscopy combined with laser-induced molecular fluorescence
Authors: Zhang Wen , Zhou Ran , Liu Kun , Li Qingzhou , Tang Zhiyang , Zhu Chenwei , Li Xiangyou , Zeng Xiaoyan , He Chao
Published: December 2020

SiO molecular emission which could hardly be detected in LIBS was enhanced by LIBS assisted with laser-induced molecular fluorescence and investigated for silicon determination in steel.
New superhydrophobic and self-cleaning zirconia/polydimethylsiloxane nanocomposite coated cotton fabrics
Authors: Eduok Ubong
Published: December 2020

Zirconia/polydimethylsiloxane nanocomposite coated fabric demonstrates unique stability with tendencies toward self-cleaning and oil–water separations due to its nanopatterned morphologies and adhering superhydrophobic polysiloxane chemical groups.
Synthesis, structural characterization andin vitroantiproliferative effects of novel organotin(iv) compounds with nicotinate and isonicotinate moieties on carcinoma cells
Authors: Vieriu Sabina-Mădălina , Someşan Adrian-Alexandru , Silvestru Cristian , Licarete Emilia , Banciu Manuela , Varga Richard A.
Published: December 2020

Novel triorganotin(iv) nicotinates and isonicotinates were successfully synthesized and fully characterized. The preliminary results for theirin vitroantiproliferative activity against the mouse colon carcinoma C26 cell line are also reported.
The synthesis, spectroscopic characterization, DFT/TD-DFT/PCM calculations of the molecular structure and NBO of the novel charge-transfer complexes of pyrazine Schiff base derivatives with aromatic nitro compounds
Authors: Issa Yousry M. , Abdel-Latif Samir A. , El-Ansary Aida L. , Hassib Hekmat B.
Published: December 2020

Novel charge-transfer complexes of pyrazine Schiff bases derived from 2-aminopyrazine with benzaldehyde and N-4-dimethylaminobenzaldehyde with some aromatic nitro compounds have been synthesized and characterizes experimentally and confirmed theoretically.
Doping controlled Fano resonance in bilayer 1T′-ReS2: Raman experiments and first-principles theoretical analysis
Authors: Das Subhadip , Prasad Suchitra , Chakraborty Biswanath , Jariwala Bhakti , Shradha Sai , Muthu D. V. S. , Bhattacharya Arnab , Waghmare U. V. , Sood A. K.
Published: December 2020

Fano resonance with electron doping for the in-plane Raman mode near 151 cm−1 in ReS2.
Resolving the stacking fault structure of silver nanoplates
Authors: Tan Taixing , Zhang Shun , Wang Jie , Zheng Yuqin , Lai Haopeng , Liu Jialiang , Qin Fengqi , Wang Cheng
Published: December 2020

The stacking fault structure of Ag nanoplates is systematically investigated on the atomic level, providing an insight into the origin of anisotropic growth.
Exosome-mediated delivery of gene vectors for gene therapy
Authors: Duan Li , Xu Limei , Xu Xiao , Qin Zhuan , Zhou Xiaoying , Xiao Yin , Liang Yujie , Xia Jiang
Published: December 2020

Exosome encapsulation protects and delivers AAV vectors for gene therapy.
Core–shell gold nanorod@mesoporous-MOF heterostructures for combinational phototherapy
Authors: Zhou Zehao , Zhao Jian , Di Zhenghan , Liu Bei , Li Zhaohui , Wu Xuemin , Li Lele
Published: December 2020

A core–shell heterostructure consisting of plasmonic gold nanorods and porphyrinic metal–organic frameworks is synthesized as a promising platform to combine photodynamic therapy and photothermal therapy for enhanced tumor treatment.
Large-area synthesis of transition metal dichalcogenides via CVD and solution-based approaches and their device applications
Authors: Hoang Anh Tuan , Qu Kairui , Chen Xiang , Ahn Jong-Hyun
Published: December 2020

This article reviews the latest advances in the synthesis of wafer-scale thin films using chemical vapor deposition and solution-based methods and various device applications.
Visible-light-promoted selective O-alkylation of 2-pyridones with α-aryldiazoacetates
Authors: Yang Jingya , Wang Ganggang , Zhou Hongyan , Li Zhifeng , Ma Ben , Song Menghui , Sun Rongxia , Huo Congde
Published: December 2020

Under direct blue light irradiation, the selective O-alkylation of 2-pyridones with α-aryldiazoacetates has been achieved.
Smart active antibiotic nanocarriers with protease surface functionality can overcome biofilms of resistant bacteria
Authors: Weldrick Paul J. , Hardman Matthew J. , Paunov Vesselin N.
Published: December 2020

We developed a novel active nanocarrier of common antibiotics, which can efficiently degrade biofilms of resistant bacteria and bypass their defences.
Lubrication dynamics of swollen silicones to limit long term fouling and microbial biofilms
Authors: Lavielle Nicolas , Asker Dalal , Hatton Benjamin D.
Published: December 2020

Swollen iPDMS silicones generate a liquid interface through syneresis to prevent bacterial adhesion.
Directional clogging and phase separation for disk flow through periodic and diluted obstacle arrays
Authors: Reichhardt C. , Reichhardt C. J. O.
Published: December 2020

Disks flowing through a square obstacle array clog for incommensurate driving angles, forming either uniform or heterogeneous clogged states.
Wetting equilibrium in a rectangular channel
Authors: Yu Tian , Sun Qicheng , Zhao Chen , Zhou Jiajia , Doi Masao
Published: December 2020

Wetting in a nearly rectangular channel.
Dynamics of the sub-ambient gelation and shearing of solutions of P3HT and P3HT blends towards active layer formation in bulk heterojunction organic solar cells
Authors: Quan Li , Lee Stephanie S. , Kalyon Dilhan M.
Published: December 2020

Organic solar cells (OSCs) containing an active layer consisting of a nanostructured blend of a conjugated polymer like poly(3-hexylthiophene) (P3HT) and an electron acceptor have the potential of competing against silicon-based photovoltaic panels.
Conformational transitions and helical structures of a dipolar chain in external electric fields
Authors: Gordievskaya Yulia D. , Kramarenko Elena Yu.
Published: December 2020

The conformational behavior of a single dipolar chain in a uniform electric field is investigated by molecular dynamics simulations.
Controlling uniform patterns by evaporation of multi-component liquid droplets in a confined geometry
Authors: Pyeon Jeongsu , Kim Hyoungsoo
Published: December 2020

A drying multi-component liquid droplet in a confined geometry leaves a uniform dried pattern. The evaporated vapors are stagnated inside the closed chamber, which induce Marangoni effects that contribute to suppress the coffee-ring pattern.
Supramolecular fibrous gels with helical pitch tunable by polarity of alcohol solvents
Authors: Iwaura Rika , Komba Shiro , Kajiki Takahito
Published: December 2020

The pitch of supramolecular helical fibers formed from palmitoylated 1,5-anhydro-d-glucitol was able to be tuned by controlling the polarity of alcohol solvent.
A novel iterative observer approach for real‐time harmonic estimation in power distribution networks
Authors: Wang Yuge , Dong Zhen , Li Haiyu , Ding Zhengtao
Published: December 2020

In power distribution networks, the realisation of online harmonic state estimation puts forward a higher demand on the algorithm accuracy, stability as well as simplicity. To meet the requirements above, a novel iterative observer based method for harmonic state estimation is proposed. This method guarantees the stability of the harmonic estimation observer when output time delays are considered in the power distribution network. Meanwhile, signals with different frequencies can be estimated iteratively. System harmonics are regarded as the unknown exogenous disturbance, and each harmonic at multiple measurements is extracted and estimated iteratively. To guarantee the overall estimator stability, multiple transmission time delay is addressed in the system modelling for the design of observer gain. The proposed method achieves high estimation accuracy from multiple measurements while maintaining a low computation commitment. Comparing with traditional harmonic state estimation methods, the iterative observer is capable of estimating the unexpected harmonics. The IEEE 13‐bus power distribution system built in the real‐time digital simulator demonstrates the validity of the proposed method.
Sweeping power system stabilisation with a parametric fuzzy predictive control of a generalised energy storage device
Authors: Ahsan Hailiya , Din Mufti Mairajud
Published: December 2020

A control oriented approach is adopted for the implementation of a parametric fuzzy‐predictive control on a compact model of a generalised energy storage device implanted in a multi‐machine system. It is realised using a combination of a heuristic fuzzy logic control (HFLC) and a predictive step ahead control (PSAC) for energy storage reactive and real power modulation, respectively. While PSAC overcomes the computational burden innate to model predictive control, the HFLC with paramount simplicity lays down the design template for fuzzy control. Local bus measurements are translated into rate of change of frequency and voltage errors, while accommodating a second‐order dynamics of a phase locked loop. To emphasise the computational simplicity and implementation speed of the proposed technique, all parameters of the problem are solved explicitly. These parameters account for the input–output mapping structure consisting of membership spreads and rule base in fuzzy domain. In predictive control, while approximating the storage‐converter dynamics by a second‐order system, relevant expressions are derived for the parameters involved in the loop. Umbrella power system stabilisation, viz., high oscillation damping with quicker settling times, frequency‐nadir curtailment, power and voltage smoothing is assured with the parametric fuzzy‐predictive controlled energy storage.
Novel framework for investment prioritisation based on flexibility needs assessment
Authors: Davidov Sreten , Curk Jurij
Published: December 2020

This study presents a novel framework for investment prioritisation in a distribution network by performing a flexibility needs assessment with regards to power quality parameters. Power range and time instances of activation are identified with a view of maintaining normal operation. A step forward is made by incorporating the importance of the flexibility needs assessment in investment prioritisation as part of the network expansion planning. The proposed framework consists of three procedures: input data preparation, operational calculations and the post‐processing of results, which are used to quantify the flexibility needs and propose an investment prioritisation list. A bus node, which forms a part of the existing distribution network in Slovenia, is used to demonstrate the general applicability of the framework. As a result, an investment prioritisation list was compiled by assessing the flexibility needs. The secure power supply buffer of the node is determined, while the quantification of the flexibility power range and time instances of activation are also provided in order to further mitigate network constraints. Apart from providing valuable information to network operators, the newly proposed framework lays the foundation for aggregators and market players to plan and self‐balance their portfolio and position when providing flexibility market services.
Parallel deep reinforcement learning‐based power flow state adjustment considering static stability constraint
Authors: Tianjing Wang , Yong Tang
Published: December 2020

To solve the problem of manpower and time consumption caused by power flow state adjustment in a large‐scale power grid, a power system operation state adjustment method considering the static stability constraint based on parallel deep reinforcement learning is proposed. By introducing the process of adjusting the power flow state that satisfies static stability, the Markov decision‐making process of adjusting power flow is constructed. Then, based on the positioning of the adjustment target, the selection of actionable devices and the calculation of the amount of action, a power flow state adjustment strategy is developed. The adjustment process is accelerated through sensitivity, transfer ratio and load margin. Then, a parallel deep reinforcement learning model is established, and it maps actions to power flow adjustment to form a pair of generator actions and realises parallel adjustment of multi‐sectional objectives. In addition, the reinforcement learning strategy and the deep learning network are improved to promote learning efficiency. Finally, the New England 39‐bus standard system and actual power grid are used to verify the effectiveness of the method.
MSNet: A novel end‐to‐end single image dehazing network with multiple inter‐scale dense skip‐connections
Authors: Yi Qiaosi , Jiang Aiwen , Deng Xiaolin , Liu Changhong
Published: December 2020

Dehazing is a challenging ill‐posed image restoration task. Various prior‐based and learning‐based methods have been proposed. Among them, end‐to‐end deep models achieve great success on performance improvement. However, most of them are concentrated on feature learning within the same block scale in isolation, and cannot perform associated analysis well on feature characteristics of different scales. Inter‐scale information reuse which is especially beneficial to image restoration is often neglected. Therefore, in this paper, a novel end‐to‐end network with multiple inter‐scale dense skip‐connections for image dehazing is proposed. Sufficient complementary information combination is considered through dense inter‐scale skip‐connections among encoder and decoder block layers. Besides avoiding gradient vanishing, a kind of bottleneck residual block is proposed to control the importance of local gradients at different scales over global learning process. Extensive comparisons and ablation studies on public dehazing datasets and real‐world images have been conducted. The experiment results demonstrate that the proposed novel elements can ensure more stable training process and superior testing performance with great improvements on PSNR and SSIM. Authors' haze‐removal results consistently comply satisfactorily with real situations, having much higher definition and contrast without colour distortion than those from the state‐of‐the‐art methods compared in this paper.
On learning based compressed sensing for high resolution image reconstruction
Authors: Islam Sheikh Rafiul , Maity Santi P. , Ray Ajoy Kumar
Published: December 2020

Compressed sensing (CS) or compressive sampling has shown an enormous potential to reconstruct a signal from its highly under‐sampled observations. A high dimensional image processing system can adopt the CS paradigm to reduce the storage and the transmission burden. However, a large sensing system (matrix) is required to capture high dimensional images. The CS reconstruction algorithms demand heavy computational requirement due to the use of large sensing matrix. It sometimes becomes impractical to implement a sensing system of the desired size due to the limited access to the CPU memory. To address this issue, the present work proposes a deep learning based CS framework that uses a convolutional neural network to enable capturing of a high dimensional image by utilizing a multi‐layer subsampling and filtering operations. The proposed approach uses another convolutional neural network that reconstructs the original image without depending on the sensing network at a significantly reduced computational cost. Extensive simulation results show that the proposed method reconstructs a high dimensional image with an improved PSNR value by dB, SSIM value by and FSIM value by compared to the other state‐of‐the‐art methods in less than 1.4 seconds.
An unsupervised approach for traffic motion patterns extraction
Authors: Moradi Amin , Shahbahrami Asadollah , Akoushideh Alireza
Published: December 2020

Automatic analysis, understanding typical activities, and identifying vehicle behaviour in crowded traffic scenes are fundamental and challenging tasks for traffic video surveillance. Some recent researches have been using machine learning approaches to extract meaningful patterns occurring in a traffic scene, for example, intersection. In this regard, we convert visual patterns and features to visual words using dense and sparse optical flow and learning traffic motion patterns with group sparse topical coding (GSTC) algorithm. In the first step of the proposed algorithm, the input traffic video is divided into non‐overlapping clips. After that, motion vectors are extracted using dual TV‐L1 as a dense optical flow and Lucas–Kanade as a sparse optical flow and converted to flow words. For learning traffic motion patterns, the GSTC algorithm, that is, a non‐probabilistic topic model (TM) has been applied. These patterns represent priors on observable motion, which can be utilised to describe a scene and answer behaviour questions such as what are the motion patterns in a traffic scene and what is going on. The experimental results which have been obtained using a real dataset, QUML, show that the combination of the GSTC + dual TV‐L1 extracts more traffic motion patterns in comparison with the GSTC + Lucas–Kanade and previous studies.
Detecting phone‐related pedestrian distracted behaviours via a two‐branch convolutional neural network
Authors: Saenz Humberto , Sun Huiming , Wu Lingtao , Zhou Xuesong , Yu Hongkai
Published: December 2020

The distracted phone‐use behaviours among pedestrians, like Texting, Game Playing and Phone Calls, have caused increasing fatalities and injuries. However, the research of phone‐related distracted behaviour by pedestrians has not been systemically studied. It is desired to improve both the driving and pedestrian safety by automatically discovering the phone‐related pedestrian distracted behaviours. Herein, a new computer vision‐based method is proposed to detect the phone‐related pedestrian distracted behaviours from a view of intelligent and autonomous driving. Specifically, the first end‐to‐end deep learning based Two‐Branch Convolutional Neural Network (CNN) is designed for this task. Taking one synchronised image pair by two front on‐car GoPro cameras as the inputs, the proposed two‐branch CNN will extract features for each camera, fuse the extracted features and perform a robust classification. This method can also be easily extended to video‐based classification by confidence accumulation and voting. A new benchmark dataset of 448 synchronised video pairs of 53,760 images collected on a vehicle is proposed for this research. The experimental results show that using two synchronised cameras obtained better performance than using one single camera. Finally, the proposed method achieved an overall best classification accuracy of 84.3% on the new benchmark when compared to other methods.
Distance of Hi-GAL sources
Authors: Mège P. , Russeil D. , Zavagno A. , Elia D. , Molinari S. , Brunt C. M. , Butora R. , Cambresy L. , Di Giorgio A. M. , Fenouillet T. , Fukui Y. , Lambert J. C. , Makai Z. , Merello M. , Meunier J. C. , Molinaro M. , Moreau C. , Pezzuto S. , Poulin Y. , Schisano E. , Schuller F.
Published: December 2020

Aims. Distances are key to determining the physical properties of sources. In the Galaxy, large (> 10 000) homogeneous samples of sources for which distance are available, covering the whole Galactic distance range, are still missing. Here we present a catalog of velocity and distance for a large sample (> 100 000) of Hi-GAL compact sources.

Methods. We developed a fully automatic Python package to extract the velocity and determine the distance. To assign a velocity to a Hi-GAL compact source, the code uses all the available spectroscopic data complemented by a morphological analysis. Once the velocity is determined, if no stellar or maser parallax distance is known, the kinematic distance is calculated and the distance ambiguity (for sources located inside the Solar circle) is solved with the H I self-absorption method or from distance–extinction data.

Results. Among the 150 223 compact sources of the Hi-GAL catalog, we obtained a distance for 124 069 sources for the 5σ catalog (and 128 351 sources for the 3σ catalog), where σ represents the noise level of each molecular spectrum used for the line detections made at 5σ and 3σ to produce the respective catalogs.
Mixed properties of magnetohydrodynamic waves undergoing resonant absorption in the cusp continuum
Authors: Goossens M. , Chen S.-X. , Geeraerts M. , Li B. , Van Doorsselaere T.
Published: December 2020

Context. Observations of magnetohydrodynamic (MHD) waves in the structured solar atmosphere have shown that these waves are damped and can thus contribute to atmospheric heating. In this paper, we focus on the damping mechanism of resonant absorption in the cusp continuum. This process takes places when waves travel through an inhomogeneous plasma.

Aims. Our aim is to determine the properties of MHD waves undergoing resonant absorption in the cusp continuum in the transition layer of a cylindrical solar atmospheric structure, such as a photospheric pore or a coronal loop. Depending on which quantities dominate, one can assess what type of classical MHD wave the modes in question resemble most.

Methods. In order to study the properties of these waves, we analytically determine the spatial profiles of compression, displacement, and vorticity for waves with frequencies in the cusp continuum, which undergo resonant absorption. We confirm these analytical derivations via numerical calculations of the profiles in the resistive MHD framework.

Results. We show that the dominant quantities for the modes in the cusp continuum are the displacement parallel to the background magnetic field and the vorticity component in the azimuthal direction (i.e. perpendicular to the background magnetic field and along the loop boundary).
What does (not) drive the variation of the low-mass end of the stellar initial mass function of early-type galaxies
Authors: Barbosa C. E. , Spiniello C. , Arnaboldi M. , Coccato L. , Hilker M. , Richtler T.
Published: December 2020

Context. The stellar initial mass function (IMF) seems to be variable and not universal, contrary to what has been argued in the literature over the last three decades. Several relations of the low-mass end of the IMF slope with other stellar population, photometrical, and kinematical parameters of massive early-type galaxies (ETGs) have been proposed, but consensus on the factual cause of the observed variations has not yet been reached.

Aims. We investigate the relationship between the IMF and other stellar population parameters in NGC 3311, the central galaxy of the Hydra I cluster. NGC 3311 is a unique laboratory, characterized by old and metal-rich stars, that is similar to other massive ETGs for which the IMF slope has been measured to be bottom-heavy (i.e., dwarf-rich); however, it has unusual stellar velocity dispersion and [α/Fe] profiles, both of which increase with radius.

Methods. We use the spatially resolved stellar population parameters (age, total metallicity, and [α/Fe]) that were derived in a
forthcoming paper (Barbosa et al. 2020) – via the full-spectrum fitting of high signal-to-noise MUSE observations – to compare the IMF slope in the central part of NGC 3311 (R ≲ 16 kpc) against other stellar parameters, with the goal of assessing their relations and dependencies.

Results. For NGC 3311, we unambiguously invalidate the previously observed direct correlation between the IMF slope and the local stellar velocity dispersion, confirming some doubts that had been raised in the literature. This relation may simply arise as a spatial coincidence between the region with the largest stellar velocity dispersion and the region where the oldest in situ population is found and dominates the light. We also show robust evidence that the proposed IMF−metallicity relation is contaminated by the degeneracy between these two parameters. We do confirm that the stellar content in the innermost region of NGC 3311 follows a bottom-heavy IMF, in line with other literature results. The tightest correlations we found are those between stellar age and the IMF and between the galactocentric radius and the IMF.

Conclusions. The variation of the IMF at its low-mass end is not due to kinematical, dynamical, or global properties in NGC 3311. We speculate instead that the IMF might be dwarf-dominated in the “red nuggets” that formed through a very short and intense star formation episode at high redshifts (z >  2) when the Universe was denser and richer in gas, and which then ended up being the central cores of today’s giant ellipticals.
Analytical solution to an LQG homing problem in two dimensions
Authors: Lefebvre Mario
Published: December 2020

An analytical solution is found to the problem of maximising the time spent in the ﬁrst quadrant by the two-dimensional diﬀusion process (X(t), Y(t)), where Y(t) is a controlled Brownian motion and X(t) is proportional to its integral. Moreover, we force the process to exit the ﬁrst quadrant through the y-axis. This type of problem is known as LQG homing and is very diﬃcult to solve explicitly, especially in two or more dimensions. Here the partial differential equation satisﬁed by a transformation of the value function is solved by making use of the method of separation of variables. The exact solution is expressed as an inﬁnite sum of Airy functions.
Spatial behaviour of thermoelasticity with microtemperatures and microconcentrations
Authors: Chirilă Adina , Marin Marin
Published: December 2020

We consider a thermoelastic material with microtemperatures and microconcentrations. The mathematical model is represented by a system of partial diﬀerential equations with the coupling of the displacement, temperature, chemical potential, microconcentrations and microtemperatures ﬁelds. The processes of heat and mass diﬀusion play an important role in many engineering applications, such as satellite problems, manufacturing of integrated circuits or oil extractions.

We study the spatial behaviour in a prismatic cylinder occupied by an anisotropic and inhomogeneous material. We impose ﬁnal prescribed data that are proportional, but not identical, to their initial values. Moreover, we have zero body forces and zero lateral boundary conditions. The spatial behaviour is analysed in terms of some cross-sectional integrals of the solution that depend on the axial variable.
Comparative study of wavelet based techniques for electromagnetic noise evaluation and removal
Authors: Nicolae Ileana-Diana V.D. , Nicolae Petre-Marian T. , Popescu Paul P. , Purcaru Anca I.
Published: December 2020

Signals acquired from an industrial environment with many sources of electromagnetic interferences may be polluted by white noise. Polluted data segments with many steady consecutive periods can be used (sometimes unsuccessful) for the estimation of a denoised period from the steady acquired data by using the mean signal method. For data segments with at least 4 periods, when only certain segments (shorter than a period) can be considered steady, hybrid algorithms can be used to automatically evaluate the power of noise and afterward to perform the noise removal by using wavelet thrashing trees. This paper deals with 2 additional denoising techniques. The 1-st one is based on the Wavelet Package Transform and allows for the separation of the noise components which pollute a data segment of at least one period. The second approached denoising technique is also addressing one period data segments and estimates ﬁrstly the power of noise by using the energies of the vectors of details from the ﬁrst 2 levels of a tree used by decompositions with the Stationary Wavelet Transform. The estimated power of noise is afterward used to establish the number of levels in the wavelet thrashing trees. In this last stage, two wavelet mothers were used. Simulated and real test signals were used and performance comparisons were performed.
Prediction of the residual stress after quenching of 6061 aluminium alloy plates by using mathematical modelling
Authors: Petre Marin , Dinu Cristian , Drăghici Nicuşor Constantin , Andrei Valeriu
Published: December 2020

The purpose of this article is to better understand the behavior of the residual stresses in aluminium alloy plates by using mathematical modelling. Quenching of aluminium alloy plates causes an uneven temperature variation in aluminum alloy plates, and elastic and elasto-plastic deformations occur inside the material. The latter causing the formation of deformations and residual stresses. The non-linear thermo-mechanical direct coupled analysis of the quenching process for a 6061 aluminium alloy plate was achieved by using ANSYS ﬁnite element software. The residual stresses due to solid thermal effects were determined by calculation of the Third principal stresses, the most negative or compressive. The developed mathematical model oﬀers a support in the understanding the behavior of the residual stresses in aluminium alloy plates and a better control of them.
On a model for population with age structure
Authors: Şterbeţi Cătălin
Published: December 2020

In this paper we study a linear continuous model describing age structure into a dynamics of one sex population, related with the McKendrick model. McKendrick assumes that the female population can be described by a function of two variables, age and time. Using the method of characteristics and Laplace transform, it is possible to ﬁnd the function representing the number of births in unit time t and the total population size in some particular cases. In the content of some works referring to the behavior of age-structure one sex population is presented the complete model of the Lotka-McKendrick equation given in the system (5) for simple cases. The genesis model is a simple one that works with the Dirac distribution and it is presented in [1]. When the birth modulus is given by the relation (9), we determine the diﬀerential-diﬀerence equation for the function B(t) which represents the number of births in unit time, given in (3).
Stabilization of the T system by an integrable deformation
Authors: Lăzureanu Cristian , Căplescu Cristiana
Published: December 2020

In this paper, some deformations of the T system are constructed. In order to stabilize the chaotic behavior of the T system, we particularize these deformations obtaining some external linear control inputs. In each case, we prove that the controlled system is asymptotically stable.
A Combined Filter for Synchronous Detection in Underwater Acoustic Mobile Communication System
Authors: Wang Ling , Shen Xiaohong , Zhang Zhichen , Hua Fei , Wang Haiyan
Published: December 2020

A scale-stretching combined filter is proposed for underwater acoustic mobile communication receivers. The combined filter consists of the sum of signals with different time stretching and shifting. Based on the matched filtering theory, Doppler stretching scales, time shift, and the order of each component of the combined filter are derived. The method proposed in this paper improves the matching degree of the filter with wideband Doppler echo signals with different moving speeds. Simulation results show that the combined filter proposed in this paper can improve the detection probability and synchronization time estimation accuracy of wideband Doppler echo. In addition, the combined filter proposed in this paper has the same calculation amount as the matched filter. This feature makes this filter suitable for the synchronous detection of underwater acoustic mobile communication with real-time operation and low power consumption requirements.
The Effects of Reynolds Number on Energy Harvesting from FIV by a Square Cylinder
Authors: Han Peng , Pan Guang , Huang Qiaogao , SHI Yao
Published: December 2020

Under the action of incoming flow, the square cylinder can generate more intense vibration responses than the circular cylinder, which is beneficial for energy harvesting. Numerical simulations for FIV of the square-cylinder energy conversion system are carried out. URANS equations are used in conjunction with the shear stress transport k-ω turbulence model to predict the flow, and the equations for vibrations are solved by the Newmark-β algorithm. The present numerical method is validated against the published data with good consistency. The Reduced velocity Ur is varied from 1-20, with corresponding Reynolds numbers of 24 000-160 000. The numerical results indicate that the Reynolds number significantly affects the frequency response, amplitude response, vortex shedding mode, and energy conversion efficiency. The highest efficiency point locates at Re=88 000, with a value of 7.156%. When Re>120 000, the system transits from vortex-induced vibration into galloping, and its vibration responses as well as energy harvesting characteristics change sharply. Fully developed galloping motion occurs when Re>144 000.
Exploring Strain Characteristics and Bearing Capacity of a Carbon Filament-Wound Composite Cylindrical Shell under Hydrostatic Pressure
Authors: Shen Kechun , Pan Guang , Shi Yao , Li Zhun , Wei Ranfeng
Published: December 2020

In order to study the strain characteristics and bearing capacity of a filament-wound composite cylindrical shell and its different dome structures under hydrostatic pressure, experiments were carried out. Firstly, static tests were conducted to study the axial and circumferential strain of the composite cylindrical shell on its different positions. The bearing capacity of the ellipsoid dome was compared with that of the hemisphere dome. The blasting test and the nonlinear analysis of the strain were conducted. The relationship between the strain trend and the crack propagation path was studied, and the structural failure mode was explored. The study shows that as the hydrostatic pressure increases, the strain increases and that the strain amplitudes of measuring points gradually appear different and show varying degrees of nonlinearity. Along the circumferential direction of the circumferential crack, the axial strain amplitude gradually decreases by 20%. But the circumferential strain amplitude gradually increases by 94%. As the load of the composite cylindrical shell increases to a certain extent, its final failure mode is strength failure, but its instability is not obvious.
A Fast Selection Method of Landmarks for Terrain Matching Navigation
Authors: Wang Huaxia , Cheng Yongmei , Liu Nan , Yao Shun , Ma Juanjuan , Wang Huibin
Published: December 2020

Under fixed imaging conditions, the landmark selection method based feature traversal analysis has high computational complexity. The hierarchical statistical significance detection method uses global statistical information for feature analysis to overcome the computational complexity problem caused by feature traversal analysis. The frequency domain de-correlation method can remove repeat mode in the image by adaptive Gaussian filtering on the amplitude-frequency characteristics. In this paper, combined the hierarchical statistical saliency detection method with the frequency domain de-correlation method, a fast landmark selection algorithm based on saliency analysis is proposed. Based on the proposed algorithm, the automatic landmark selection architecture for terrain matching navigation was constructed. The selection of landmark points was carried out in the Qin-ling Mountains and the Guangdong and Guangxi hills. The results show that compared with the feature or pixel-based landmark selection method, the landmark selection efficiency of the proposed method is improved by 2 to 3 orders of magnitude. The correct matching rate of candidate landmarks selected in the Qinling Mountains and the Guangdong and Guangxi hills are 73.9% and 88.3% respectively.
Redundant ADS and INS High Sensitivity Fault Detection Method
Authors: Cui Xiaodan , Cheng Yongmei , Li Zhenwei
Published: December 2020

The fault detection function of GLT method is approximately proportional to the square of fault value, the value of the fault detection function is lower than the detection threshold when the soft fault is small, which leads to the low sensitivity of soft fault detection and the high rate of missing detection. The IM-SPRT method rapidly increases the value of fault detection function above the threshold of fault detection by accumulating small soft fault values, so it has high sensitivity for soft fault detection, however, the end time of the fault cannot be judged timely, resulting in a high false alarm for fault detection. In view of the above problems, this paper proposes a high-sensitivity fault detection method for redundant systems based on GLT/IM-SPRT. This method uses the IM-SPRT method to detect weak and soft faults and sets the IM-SPRT method fault detection function value to zero by the GLT fault detection result, and isolates the fault with GLT. On this basis, a framework of high-sensitivity fault detection and isolation methods for redundant ADS and INS systems is designed. The simulation results of soft and hard fault detection and isolation of three-redundancy ADS subsystem level and INS sensor level show that the method in this paper can improve the sensitivity of fault detection and reduce the rate of missed detection.
A Fault-Tolerant Control Method for Unmanned Aerial Vehicle (UAV) Formation with Topological Faults Considered
Authors: Ma Xiaoshan , Dong Wenhan , Li Bingqian
Published: December 2020

A fault-tolerant control method for the UAV formation that has topological fault, control surface fault, actuator fault and uncertainty is proposed. Firstly, the formation motion model and the UAV motion model are established. Then based on the topological fault detection method, the topological fault reconstruction and optimization algorithm is proposed to realize the formation topological fault reconstruction and optimization with minimum communication cost and formation reconstruction cost. In designing the backstepping fault-tolerant control method, the actuator's fault identification module and the auxiliary system module are used to estimate and compensate for the faults of the actuator and the control surface respectively so as to realize the stable flight of the UAV formation under the conditions of actuator fault, control surface fault and uncertainty. The simulation results verify the superiority of the fault-tolerant control method for the UAV formation with topological faults.
Mechanism Design and Analysis of a New Overhead Transmission Line Inspection Robot
Authors: Wang Yishuang , Yuan Chao , Zhai Yongjie
Published: December 2020

The requirements of power system for the safety of overhead transmission lines are increasing. With the rapid development of mobile robot technology, the inspection of overhead transmission lines by inspection robots has become a research hotspot in recent years. Aiming at the task requirements of transmission line inspection robots and the environmental characteristics of transmission lines, researchers at home and abroad have developed a variety of inspection robots. However, most of these robots have problems such as inability to cross the strain tower, low obstacle crossing efficiency and poor safety. In order to solve the above problems, this paper proposes a new four-arm inspection robot mechanism. The robot can cross the strain tower with two different sets of arms working together. The rectangular frame structure on the walking arm improves the obstacle crossing efficiency of the robot, and the closed hanging mechanism ensures that the robot does not fall from the line. In this paper, the three-dimensional model of the robot is established, and the specific structure and motion parameters are given. Three typical obstacle-crossing modes are planned, and the motion analysis and force simulation analysis of the robot's obstacle-crossing process are carried out. The simulation result shows that the mechanism can efficiently cross the strain towers and common obstacles on the transmission line.
Improvement of Quadruple Structure and Optimization of Control Algorithm for Co-Phase Traction Power Supply System
Authors: Cheng Shu , Liu Chang , Tang Jianxiang , Yu Tianjian , Li Kaidi
Published: December 2020

Co-phase power supply is one of the key technologies to solve the technical bottlenecks such as electrical phase separation zone, poor power quality and defects in structure and control algorithms in traditional traction power supply systems and single co-phase power supply schemes, and an inevitable way to realize the development of electrified railways in the direction of safety, high speed and heavy load. Based on the single co-phase power supply technology, a novel quadruple co-phase power supply scheme with negative sequence elimination and to suppress reactive power and harmonic better for the two aspects of the system structure improvement and control algorithm optimization is proposed by combining the technologies of power system flexible transmission grid-connected and multiple inverters. Finally, the simulation model for the novel co-phase traction power supply system was designed and built, and the present method was verified by a set of simulation experiments so as to obtain the expected results.
Nonlinear Static Analysis and Structural Optimization of Rigid Clamp Band Connection Device between Launch Vehicle and Satellite
Authors: Guo Xin , Zhu Shiyao , Liu Guanri , Yu Bin , Zhang Qiaofei , Lei Yongjun
Published: December 2020

The Rigid Clamp Band Connection Device (RCBCD) is a novel satellite-rocket connection method adapted to the heavy lift trend of the launch vehicle. The static analysis model for the Rigid Clamp Band (RCB) and the Docking Ring (DR) under preloading state is established, and the structural strength and connection stiffness characteristics under the axial loading are analyzed, and the axisymmetric equivalent and parametric modeling techniques are combined to optimize the section shape parameter, which improves the overall connection performance. The results show that the structural stress concentrated on the "line-to-face" contact position between RCB and DR. Increasing the axial dimension of RCB, reducing the V-type angle and deepening the occlusion depth of RCB and DR can effectively improve the connection rigidity of RCB. By optimizing the section shape, the connection performance of RCBCD can be improved by above 70% under the structural strength and mass constraints.
Airborne Network Traffic Identification Method under Small Training Samples
Authors: Lyu Na , Zhou Jiaxin , Chen Zhuo , Chen Wu
Published: December 2020

Due to the high cost and difficulty of traffic data set acquisition and the high time sensitivity of traffic distribution, the machine learning-based traffic identification method is difficult to be applied in airborne network environment. Aiming at this problem, a method for airborne network traffic identification based on the convolutional neural network under small traffic samples is proposed. Firstly, the pre-training of the initial model for the convolutional neural network is implemented based on the complete data set in source domain, and then the retraining of the convolutional neural network is realized through the layer frozen based fine-tuning learning algorithm of convolutional neural network on the incomplete dataset in target domain, and the convolutional neural network model based feature representing transferring(FRT-CNN) is constructed to realize online traffic identification. The experiment results on the actual airborne network traffic dataset show that the proposed method can guarantee the accuracy of traffic identification under limited traffic samples, and the classification performance is significantly improved comparing with the existing small-sample learning methods.
Diagnostic difficulty of an aggressive and recurrent giant cell granuloma: a short case report
Authors: De Cidrac Louis , Kadri Mohamed , Pecorari Roch , Nguyen Thông , Radoï Loredana
Published: December 2020

Introduction: The central giant cell granuloma (CGCG) is a rare benign lesion of the jaws, rarely aggressive,mostly affecting the mandible in children and young adults. The diagnosis may be difficult, complementaryhistological analyses being necessary to differentiate it from other giant cell tumours. Observation: A 28-year-old woman consulted for a painful gingival swelling surrounding the inferior right second molar. Cone Beam (CBCT) showed anunilocular radiolucent mandibular lesion. Histological examination performed after the curettage of the lesion could not differentiate between a peripheral GCG with bone extension, a giant cell tumour (GCT) or a CGCG. The patient was lost of view for 4 months until an aggressive recurrence. Asegmental mandibulectomy in disease-free margin was performed. Immunohistochemical and genetic testscomplementary to histology finally permitted to concludeto a CGCG. The patient presented no recurrence in 4 years of follow-up. Discussion: Surgical removal in disease-free margin is the gold standard treatment in aggressive CGCG. Nonetheless, literature reports alternative pharmacological treatments alone or in addition to surgery. In this case, the aggressiveness of the tumour and the absence of patient compliance for follow-up have led to the decision of a radical treatment of the recurrence. Conclusion: Aggressive CGCG requires a rapid diagnosis and a primary disease-free margin surgical resection to avoid mutilating treatment of the recurrence.
Polilingual educational environment: the readiness of higher school teachers for the pedagogical providing of student’s training
Authors: Znikina L.S. , Sedykh D.V.
Published: December 2020

The article deals with the issues of actualizing the pedagogical providing of students’ training in the higher school polilingual educational environment. The brief theoretical analysis of up-to-date scientific trends of organizing educational process in multicultural conditions is given. The purpose of the article is to accent and identify the readiness of higher school teachers for students’training in polilingual educational environment, to verify the deductions and ideas using the estimate procedures, pedagogical experiment and generalization of results.