bluuebunny/crossref_metadata_2025 huggingface dataset:
Crystalline silicon nanoparticle formation by tailored plasma irradiation: self-structurization, nucleation and growth acceleration, and size control
Authors: Choi Daehan , Kim Jung Hyung , Kwon Deuk Chul , Shin Chae Ho , Ryu Hyun , Yoon Euijoon , Lee Hyo-Chang
Published: May 2021

The self-structurization process of crystalline Si nanoparticles from a-Si thin film surface by tailored Ar plasma irradiation: Nucleation, growth and size control by extremely-low ion energy transfer.
Depth mapping of metallic nanowire polymer nanocomposites by scanning dielectric microscopy
Authors: Balakrishnan Harishankar , Millan-Solsona Ruben , Checa Marti , Fabregas Rene , Fumagalli Laura , Gomila Gabriel
Published: May 2021

The depth mapping of metallic nanowires buried in polymer nanocomposites can be achieved in a non-destructive way and with nanoscale spatial resolution with scanning dielectric microscopy.
Ultrasound responsive erythrocyte membrane-derived hybrid nanovesicles with controlled drug release for tumor therapy
Authors: Wang Dongdong , Yao Yuzhu , Xiao Yi , Chen Xue , Hu Jun , Yang Xiangliang
Published: May 2021

An ultrasound responsive erythrocyte membrane-derived hybrid nanovesicle drug delivery system is constructed by the membrane fusion strategy for controlled drug release.
Asparaginyl endopeptidases: enzymology, applications and limitations
Authors: Tang T. M. Simon , Luk Louis Y. P.
Published: May 2021

The potentials of using asparaginyl endopeptidases (AEP) as tools for polypeptide modifications have been discussed.
NH4I-promoted oxidative formation of benzothiazoles and thiazoles from arylacetic acids and phenylalanines with elemental sulfur
Authors: Xia Yujia , Huang Huawen , Hu Wei , Deng Guo-Jun
Published: May 2021

Readily available arylacetic acids and phenylalanines were exploited to be efficient C1 building blocks in thiazo-annulation reactions with elemental sulfur.
Synthesis and characterization of β,β′-dimethylated dithieno[3,2-b:2′,3′-d]pyrroles and their corresponding regioregular conducting electropolymers
Authors: Förtsch Sebastian , Mena-Osteritz Elena , Bäuerle Peter
Published: May 2021

Synthesis, structural characterization, and oxidative polymerization of β,β′-dimethyl-dithienopyrrole 2–7 leading to linear, strictly regioregular conjugated polymers without structural defects due to the blocked β-positions are described.
Solvent-assisted delamination of layered copper dithienothiophene-dicarboxylate (DUT-134)
Authors: Schwotzer Friedrich , Senkovska Irena , Bon Volodymyr , Lochmann Stefanie , Evans Jack D. , Pohl Darius , Rellinghaus Bernd , Kaskel Stefan
Published: May 2021

Rational selection of the delamination solvent enables efficient exfoliation of layered MOF, resulting in suspension of the nanosheets stable over days.
Autoclave-free ultra-early strength concrete preparation using an early strength agent and microstructure properties
Authors: Sun Daosheng , Wang Ziwen , Ma Rui , Wang Aiguo , Zhang Gaozhan
Published: May 2021

In this study, nano calcium silicate hydrate was used as an early strength agent to promote the compressive strength of concrete at 1 day.
DFT insight into the effect of Cu atoms on adsorption and dissociation of CO2 over a Pd8/ TiO2(101) surface
Authors: Liu Li , Lv Pingli
Published: May 2021

The Cu atom provides the positive polarization charge center to enhance CO2 adsorption and up-shifts its d-band center to improve the activation of CO2.
Synthesis of luminescent thorium-based metal–organic frameworks with 1,2,4,5-tetrakis(4-carboxyphenyl)benzene
Authors: Yu Ting , Qian Zheng-hua , Li Lin , Wu Xiao-ling , He Hui , Qiao Yan-bo , Ye Guo-an
Published: May 2021

Three new thorium-based MOFs based on 1,2,4,5-tetrakis(4-carboxyphenyl)benzene (H4TCPB) were obtained under a similar reaction system (metal salt, ligand, solvent, and acid are the same).
Synthesis of TiO2–Ag3PO4 photocatalyst material with high adsorption capacity and photocatalytic activity: application in the removal of dyes and pesticides
Authors: Nyankson Emmanuel , Efavi Johnson K. , Agyei-Tuffour Benjamin , Manu Gloria
Published: May 2021

Synthesis scheme of the Ag3PO4–TiO2 nanocomposite.
Computational estimation of potential inhibitors from known drugs against the main protease of SARS-CoV-2
Authors: Tam Nguyen Minh , Pham Minh Quan , Ha Nguyen Xuan , Nam Pham Cam , Phung Huong Thi Thu
Published: May 2021

Approved drugs predicted to interact with critical residues in the substrate-binding site of SARS-CoV-2 Mpro can be promising inhibitors.
A new family of decanuclear Ln7Cr3 clusters exhibiting a magnetocaloric effect
Authors: Yin Jia-Jia , Lu Tian-Qi , Chen Cheng , Shi Hai-Yan , Zhuang Gui-Lin , Zheng Jun , Fang Xiaolong , Zheng Xiu-Ying
Published: May 2021

Two decanuclear Ln–Cr clusters Ln7Cr3 were obtained, which formed a three-dimensional framework with one-dimensional nanopore channel through hydrogen-bond and π-bond interactions. Gd7Cr3 had a magnetic entropy change of 21.1 J kg−1 K−1 at 5 K, 7 T.
New approach to consecutive CO oxidation and CO2 chemisorption using Li2CuO2 ceramics modified with Na- and K-molten salts
Authors: Hernández-Castillo Susana , Martínez-Hernández Héctor , Mendoza-Nieto J. Arturo
Published: May 2021

The addition of alkali carbonates to Li2CuO2 improved the CO oxidation and the subsequent CO2 with a high ratio of captured/released CO2. Materials modified with a single carbonate presented the best enhancement for the removal of both COX.
A microfluidic actuator based on a stimuli-responsive hydrogel grafted into Cucurbita moschata xylems
Authors: Romero Marcelo R. , Trejo Nieva Gisella , Vedelago José , Gomez Cesar G.
Published: May 2021

A chemical actuator was developed taking advantage of the internal microstructure of a plant stem.
Correction: Dynamical time scales of friction dynamics in active microrheology of a model glass
Authors: Madanchi A. , Yu Ji Woong , Lee Won Bo , Tabar M. R. Rahimi , Rahbari S. H. E.
Published: May 2021

Correction for ‘Dynamical time scales of friction dynamics in active microrheology of a model glass’ by A. Madanchi et al., Soft Matter, 2021, DOI: 10.1039/d0sm02039g.
Advances in noble metal (Ru, Rh, and Ir) doping for boosting water splitting electrocatalysis
Authors: Tian Lin , Li Zhao , Xu Xuena , Zhang Cai
Published: May 2021

Electrochemical water splitting is promising for producing high-density and green hydrogen, however, the sluggish H2O dissociation process, due to the low H2O adsorption on the catalyst surface, greatly hinders industrial electrochemical water splitting on a large scale.
Towards superior X-ray detection performance of two-dimensional halide perovskite crystals by adjusting the anisotropic transport behavior
Authors: Xiao Bao , Sun Qihao , Wang Fangbao , Wang Shiyao , Zhang Bin-Bin , Wang Junjie , Jie Wanqi , Sellin Paul , Xu Yadong
Published: May 2021

Replacing the spacer cations from BA to i-BA decreases the interlayer distance and barrier height in 2D perovskite, resulting the decrease of the degree of anisotropy. The (BA)2CsPb2Br7 crystal along the ab plane exhibits superior X-ray sensitivity.
Localized surface plasmon resonance shift and its application in scanning near-field optical microscopy
Authors: Zhang Jiawei , Kolhatkar Gitanjali , Ruediger Andreas
Published: May 2021

Quantifiable information on refractive index changes due to surface chemistry, structure, and topography is accessibleviaplasmon-enhanced nanoscale imaging.
Highly emissive near-infrared solid organic fluorophores for visualization of latent fingerprints based on the powder dusting method
Authors: Lv Zheng , Man Zhongwei , Xu Zhenzhen , Li Shuai , Liao Qing , Fu Hongbing
Published: May 2021

We have successfully designed and synthesized two highly emissive near-infrared solid organic fluorophores for visualizing latent fingerprints based on mobile-phone photographing.
Poly(dimethylsiloxane) functionalized with complementary organic and inorganic emitters for the design of white emissive waveguides
Authors: Khlifi Soumaya , Bigeon John , Amela-Cortes Maria , Dumait Noée , Akdas-Kiliç Huriye , Taupier Grégory , Freslon Stéphane , Cordier Stéphane , Derien Sylvie , Achard Mathieu , Loas Goulc’hen , Molard Yann
Published: May 2021

An active white-emissive waveguide is designed by introducing in a silica microfiber a PDMS doped with a blue-green emissive 3-oxindole and a red-NIR phosphorescent molybdenum nanocluster for optoelectronic applications.
Surface Electromyography–Based Recognition, Synthesis, and Perception of Prosodic Subvocal Speech
Authors: Vojtech Jennifer M. , Chan Michael D. , Shiwani Bhawna , Roy Serge H. , Heaton James T. , Meltzner Geoffrey S. , Contessa Paola , De Luca Gianluca , Patel Rupal , Kline Joshua C.
Published: May 2021

Purpose

This study aimed to evaluate a novel communication system designed to translate surface electromyographic (sEMG) signals from articulatory muscles into speech using a personalized, digital voice. The system was evaluated for word recognition, prosodic classification, and listener perception of synthesized speech.

Method

sEMG signals were recorded from the face and neck as speakers with (n = 4) and without (n = 4) laryngectomy subvocally recited (silently mouthed) a speech corpus comprising 750 phrases (150 phrases with variable phrase-level stress). Corpus tokens were then translated into speech via personalized voice synthesis (n = 8 synthetic voices) and compared against phrases produced by each speaker when using their typical mode of communication (n = 4 natural voices,n = 4 electrolaryngeal [EL] voices). Naïve listeners (n = 12) evaluated synthetic, natural, and EL speech for acceptability and intelligibility in a visual sort-and-rate task, as well as phrasal stress discriminability via a classification mechanism.

Results

Recorded sEMG signals were processed to translate sEMG muscle activity into lexical content and categorize variations in phrase-level stress, achieving a mean accuracy of 96.3% (SD = 3.10%) and 91.2% (SD = 4.46%), respectively. Synthetic speech was significantly higher in acceptability and intelligibility than EL speech, also leading to greater phrasal stress classification accuracy, whereas natural speech was rated as the most acceptable and intelligible, with the greatest phrasal stress classification accuracy.

Conclusion

This proof-of-concept study establishes the feasibility of using subvocal sEMG-based alternative communication not only for lexical recognition but also for prosodic communication in healthy individuals, as well as those living with vocal impairments and residual articulatory function.

Supplemental Material

https://doi.org/10.23641/asha.14558481
Secrecy outage probability analysis of energy‐aware relay selection for energy‐harvesting cooperative systems
Authors: Zhang Yujie , Li Peng , Fan Weibei , Wang Ruchuan
Published: May 2021

The secrecy outage performance for a cooperative cognitive radio energy‐harvesting network is analyzed. The cognitive network is composed of an energy‐constrained cognitive source (CS), multiple energy‐constrained cognitive relays (CRs) and a cognitive destination (CD) as well as an eavesdropper (E) coexists with a primary network consisting of a primary transmitter (PT) and a primary receiver (PR). The CS and CRs are equipped with energy harvesters for collecting energy from the radio frequency signal from PT and their transmit powers are limited by the interference threshold at PR. To prevent confidential information leaking to E, an optimal relay selection (ORS) scheme and a suboptimal relay selection (SRS) scheme are proposed. In ORS scheme, the whole channels state information (CSI) of wireless links is available to CRs while SRS only needs to know the CSI of main channels from CRs to CD. Moreover, the closed‐form expressions of secrecy outage probabilities for both ORS and SRS schemes are derived. For the purpose of comparison, the classical round‐robin relay selection (RRRS) is also analyzed in terms of secrecy outage probability. Furthermore, the numerical results show that ORS achieves the best performance and RRRS performs the worst in terms of secrecy outage probability.
Delay dependent criteria for the consensus of second‐order multi‐agent systems subject to communication delay
Authors: Nejadvali Amir , Esfanjani Reza Mahboobi , Farnam Arash , Crevecoeur Guillaume
Published: May 2021

In this paper, a distributed controller is designed for the consensus of multi‐agent systems in which each agent has a general second‐order linear dynamic and the information is exchanged over a data‐delaying communication network. Using the sensitivity of system poles to the parameters of the control protocol, graphical delay‐dependent synthesis conditions are derived to tune the controller gains. A systematic procedure is developed to attain maximum tolerable transmission delay in the system. Moreover, simpler condition is provided for the special case where the second‐order model is reduced to a double integrator. Simulation results are presented to illustrate the merits of the proposed scheme compared to some recent rival ones in the literature.
The distributed economic dispatch of smart grid based on deep reinforcement learning
Authors: Fu Yang , Guo Xiaoyan , Mi Yang , Yuan Minghan , Ge Xiaolin , Su Xiangjing , Li Zhenkun
Published: May 2021

In order to solve the problems of inefficient, inflexible and insecure for traditional centralized algorithm in the process of optimization dispatch, and with the application of artificial intelligence technology to smart grids, the novel distributed solution is proposed by using the deep reinforcement learning and the consensus theory to optimize the economic dispatch. Firstly, the optimal commitment sequence of massive units is realized through constructing deep reinforcement learning model. Secondly, the optimal unit output and efficient economic dispatch can be obtained by utilizing the improved consensus algorithm together with Adam's algorithm. Finally, simulation results of IEEE‐14 and IEEE‐162 node systems may demonstrate the effectiveness of the proposed solution for the smart grids with complex network structures, which can not only solve the problem of massive data processing, but also it may reduce the dependence on the exact objective function when dealing with extremely complex load distribution scenes and distributed powers.
The Three Hundred Project: The stellar angular momentum evolution of cluster galaxies
Authors: Mostoghiu R. , Knebe A. , Pearce F. R. , Power C. , Lagos C. D. P. , Cui W. , Borgani S. , Dolag K. , Murante G. , Yepes G.
Published: May 2021

Using 324 numerically modelled galaxy clusters as provided by THETHREEHUNDREDproject, we study the evolution of the kinematic properties of the stellar component of haloes on first infall. We selected objects withMstar > 5 × 1010 h−1 M⊙within 3R200of the main cluster halo atz = 0 and followed their progenitors. We find that although haloes are stripped of their dark matter and gas after entering the main cluster halo, there is practically no change in their stellar kinematics. For the vast majority of our ‘galaxies’ – defined as the central stellar component found within the haloes that form our sample – their kinematic properties, as described by the fraction of ordered rotation, and their position in the specific stellar angular momentum−stellar mass planejstar − Mstarare mostly unchanged by the influence of the central host cluster. However, for a small number of infalling galaxies, stellar mergers and encounters with remnant stellar cores close to the centre of the main cluster, particularly during pericentre passage, are able to spin up their stellar component byz = 0.
PACT
Authors: Pointecouteau E. , Santiago-Bautista I. , Douspis M. , Aghanim N. , Crichton D. , Diego J.-M. , Hurier G. , Macias-Perez J. , Marriage T. A. , Remazeilles M. , Caretta C. A. , Bravo-Alfaro H.
Published: May 2021

The pressure of hot gas in groups and clusters of galaxies is a key physical quantity, which is directly linked to the total mass of the halo and several other thermodynamical properties. In the wake of previous observational works on the hot gas pressure distribution in massive halos, we have investigated a sample of 31 clusters detected in both the Planck and Atacama Cosmology Telescope (ACT), MBAC surveys. We made use of an optimised Sunyaev-Zeldovich (SZ) map reconstructed from the two data sets and tailored for the detection of the SZ effect, taking advantage of both Planck coverage of large scales and the ACT higher spatial resolution. Our average pressure profile covers a radial range going from 0.04 × R500 in the central parts to 2.5 × R500 in the outskirts. In this way, it improves upon previous pressure-profile reconstruction based on SZ measurements. It is compatible, as well as competitive, with constraints derived from joint X-ray and SZ analysis. This work demonstrates the possibilities offered by large sky surveys of the SZ effect with multiple experiments with different spatial resolutions and spectral coverages, such as ACT and Planck.
Variable stars in the VVV globular clusters
Authors: Alonso-García Javier , Smith Leigh C. , Catelan Márcio , Minniti Dante , Navarrete Camila , Borissova Jura , Carballo-Bello Julio A. , Contreras Ramos Rodrigo , Fernández-Trincado José G. , Ferreira Lopes Carlos E. , Gran Felipe , Garro Elisa R. , Geisler Doug , Guo Zhen , Hempel Maren , Kerins Eamonn , Lucas Philip W. , Palma Tali , Peña Ramírez Karla , Ramírez Alegría Sebastián , Saito Roberto K.
Published: May 2021

Context.The Galactic globular clusters (GGCs) located in the inner regions of the Milky Way suffer from high extinction that makes their observation challenging. High densities of field stars in their surroundings complicate their study even more. The VISTA Variables in the Via Lactea (VVV) survey provides a way to explore these GGCs in the near-infrared where extinction effects are highly diminished.

Aims.We conduct a search for variable stars in several inner GGCs, taking advantage of the unique multi-epoch, wide-field, near-infrared photometry provided by the VVV survey. We are especially interested in detecting classical pulsators that will help us constrain the physical parameters of these GGCs. In this paper, the second of a series, we focus on NGC 6656 (M 22), NGC 6626 (M 28), NGC 6569, and NGC 6441; these four massive GGCs have known variable sources, but quite different metallicities. We also revisit 2MASS-GC 02 and Terzan 10, the two GGCs studied in the first paper of this series.

Methods.We present an improved method and a new parameter that efficiently identify variable candidates in the GGCs. We also use the proper motions of those detected variable candidates and their positions in the sky and in the color-magnitude diagrams to assign membership to the GGCs.

Results.We identify and parametrize in the near-infrared numerous variable sources in the studied GGCs, cataloging tens of previously undetected variable stars. We recover many known classical pulsators in these clusters, including the vast majority of their fundamental mode RR Lyrae. We use these pulsators to obtain distances and extinctions toward these objects. Recalibrated period–luminosity–metallicity relations for the RR Lyrae bring the distances to these GGCs to a closer agreement with those reported byGaia, except for NGC 6441, which is an uncommon Oosterhoff III GGC. Recovered proper motions for these GGCs also agree with those reported byGaia, except for 2MASS-GC 02, the most reddened GGC in our sample, where the VVV near-infrared measurements provide a more accurate determination of its proper motions.
As a black start the wind power storage system has a storage capacity configuration
Authors: Haiming Hu , Yan Yan
Published: May 2021

Through multiple simulations and statistics of its capacity deficit data, the basic value of the energy storage capacity that can cover most wind conditions is determined. Considering that during the black start process, other aspects other than the plant electricity also occupy the energy storage capacity, and the capacity compensation is made in the calculation. Finally, the verification model shows that its energy storage capacity configuration can support the black start task of the auxiliary plant in the area under most wind conditions and has certain economic efficiency.
Overview and Prospect of distributed energy storage technology
Authors: Ye Peng , Liu Siqi , Sun Feng , Zhang Mingli , Zhang Na
Published: May 2021

The combination of distributed generation and distributed energy storage technology has become a mainstream operation mode to ensure reliable power supply when distributed generation is connected to the grid. This paper first introduces two typical distributed energy storage technologies: pumped storage and battery energy storage. Then, it introduces the energy storage technologies represented by the “ubiquitous power Internet of things” in the new stage of power industry, such as virtual power plant, smart micro grid and electric vehicle. Finally, this paper summarizes and prospects the distributed energy storage technology.
Research and application of nuclear power plant in-service inspection information management platform
Authors: Chen Yan-hui , Li Tian , Xue Dong-Lin
Published: May 2021

In-service inspection is one of the important means to ensure nuclear safety, and the current manual management model has been difficult to adapt to the high requirements of nuclear power development. For example, there have been problems such as inconsistency of key data information, difficulty in statistical analysis of inspection results, lack of or untimely experience feedback. Through the research and application of the in-service inspection technology management platform, it focuses on the platform design, business architecture, and key technologies in the actual development process. The application of the platform is a further upgrade of the in-service inspection management model. It can further enhance the advantages of information management, improve the management efficiency and level of in-service inspection of nuclear power plants, and escort the safe operation of nuclear power plants.
Model-free adaptive control for the heading angle of a UAV
Authors: Li Di , Shu Kun
Published: May 2021

The difficulty of accurately modeling the aerodynamics of the heading angle of unmanned aerial vehicles is well known. Furthermore, it is difficult to control the heading angle of an unmanned aerial vehicle (UAV) with a model-based method under the influence of wind disturbances. To address this problem, a novel model-free control strategy is proposed. First, a self-organizing type-2 fuzzy brain emotional learning network model is used to estimate the PPD (pseudo partial derivative). Finally, the stability is guaranteed by designing the Lyapunov function. Meanwhile, the performance of the proposed method is further verified by high-fidelity semi-physical simulations.
The Research on Mechanical Performance of Portal Crane Main Steel Structure Based on Sustainable Development
Authors: Zhang Bin , Li Guo-feng , Huang Zheng-qiu , Tong Yao-ting
Published: May 2021

This paper introduces an evaluation method of mechanical performance of portal crane main steel structure. The risk factors of portal crane are investigated from five aspects of strength, stiffness, corrosion, crack and local stability. Through quantification, each evaluation index is transformed into a quantitative value that is easy to identify, which directly reflects the state of the steel structure of the crane. Scientific and reasonable evaluation results are beneficial to maintenance and use of portal crane, and it can save energy and reduce emission, reduce cost and increase efficiency.
Research on Safety performance Evaluation method of Portal Crane based on Reliability Evaluation and Risk Assessment
Authors: Lixin Ren , Jun Qiu , Li Qin , Weiping Ouyang
Published: May 2021

In recent decades, with the vigorous development of shipping and transportation logistics industry, a large number of portal cranes have been installed in the ports of our country for production, and some of the equipment has approached or even exceeded its designed service life, and there is a great hidden danger of safety in the continued use of the equipment. This paper discusses a safety performance evaluation method of portal crane based on analytic hierarchy process (AHP). Through the determination and measurement of evaluation index, the safety condition of equipment can be obtained. according to the value of equipment safety condition, the safety performance can be classified, and the user and management organization can respond effectively according to the safety performance level of equipment, and the risk caused by long-term service of equipment can be effectively eliminated.
Establishing a detection model data attacks in power distribution system
Authors: Yu Sihang , Li Zhaoxiang , Lin Wenbin , Chao Wujie , Guo Jiansheng , Jia Jie , Zhang Zhigeng
Published: May 2021

The safe operation of smart distribution network is highly dependent on the powerful technical guarantee provided by the function of information link, which makes the network vulnerable to the threat of malicious data injection and other network attacks during the operation. In order to ensure that this kind of malicious data injection attack can be detected sensitively in the operation of power grid, this paper proposes a kind of power system state estimation malicious data attack defense model based on historical data. Firstly, the Long Short-Term Memory(LSTM) network is trained with the historical state quantity to realize the state prediction model. The prediction results are used as a reference, and the deviation between the prediction and the real-time estimate is calculated to break the concealment of malicious data. Simulation results of IEEE33-bus power system verify the accuracy of prediction and the effectiveness of the proposed method for online detection of hidden malicious data.
Transformer Condition Monitoring Technology Based on Surface Acoustic Wave Passive Wireless Sensing Antenna
Authors: E Zhenwei , Fu Dong , Yu Zhengzhi , Hu Yaqing , Nie Yu
Published: May 2021

As the infrastructure for people’s production and life, the stable operation of power facilities is very important. As a key equipment in the operation of power facilities, transformers have become important power equipment for the daily maintenance of the power sector. In the past, electric power operation and maintenance personnel mostly used on-site visual inspection to preliminarily judge whether the transformer is operating normally. The disadvantage of this method is inaccuracy. A transformer condition monitoring technology based on a surface acoustic wave passive wireless intelligent sensing system is proposed to overcome the above shortcomings. Its working mechanism is to monitor the oil level, oil temperature and external ambient temperature of the cooling oil in the transformer in real time. Then, the operating status can be determined. The operating data is transmitted to the control center through the 4G network to help the operation and maintenance personnel to centrally monitor the status of the transformer, and then provide a pre-alarm function for abnormal conditions of the transformer.
Research on flexibility analysis of integrated energy system
Authors: Han Xie , Qifen Li , Yongwen Yang , Lifei Song , Ning Ning , Xiumei Jiang
Published: May 2021

Regarding the research on the flexibility of the integrated energy system, firstly, this paper explains the necessity of flexibility for the development of the integrated energy system, and analyses the features of flexibility including the characteristics, the role, and the quantitative factors, which provides a basis for research on flexibility of integrated energy systems. Based on the above characteristics, this article explores the resources that can provide system flexibility in all aspects of the integrated energy system “source-network-load-storage”, and analyzes and evaluates their flexibility.
Research on Energy Internet Management Mechanism from the Perspective of Cooperative Game
Authors: Qiao Shuang , Wang PengShu , Wang Pan
Published: May 2021

Energy is closely related to the overall progress of society and the overall development of mankind. The two major problems of energy shortage and environmental pollution caused by long-term energy use have been plagued by scholars at home and abroad. The proposal of the Energy Internet aims to improve energy utilization efficiency, reduce energy waste, optimize energy allocation, and thereby alleviate environmental pollution.Therefore, the research on energy internet management is of great significance. Starting from the cooperative game theory, this paper combines the Shapley value with energy Internet management, and establishes a model to solve the problem of the distribution of excess profits caused by the joint work of the Energy Internet Alliance, and provides a new research perspective for energy Internet management.
Acoustical study on spectral characteristics of teachers’ English vocalization
Authors: Xiao Yao , Zhao Yue-Zhe
Published: May 2021

With the increase of English teaching courses, the specific vocal characteristics of teachers in English teaching are studied and used as the basic data for the design of teachers’ spatial acoustics. In order to study this problem, three different English voice materials were read in a anechoic room under three sound intensity levels: large, medium and small, respectively, so as to analyse the equivalent continuous sound pressure level (SPL) and frequency characteristic curves of male and female teachers at 0.3m. In the low frequency band, the SPL increases as the frequency increases. In the mid-frequency band, the SPL reaches the first peak, then decreases briefly as the frequency increases, then increases again to the second peak, and then decreases again briefly as the frequency increases. Then increase again to the third peak. In the high frequency band, the SPL decreases as the frequency increases.
Interaction Design Based on Relieving Psychological Pressure of “996” Group
Authors: Dong Xiaoao
Published: May 2021

In recent years, the phenomenon of “996” has attracted extensive concern from the society. The rapid enterprise development requires more time and work from employees, which cause conflict with their family life and lays a hidden danger to their physical and mental health. A lot of useful exploration on how to relieve the pressure of “996” have been conducted, but no convenient and effective methods have been found. In respect of the characteristics of the “996” group, the author utilizes the advantages of interactive art, integrates the sympathetic design concept of intelligent interactive equipment with the breathing decompression method by studying and applying Processing and Arduino, which enables people to actively apply the decompression device in a relaxed and natural state, release pressure anytime and anywhere. This is a new exploration of the integration of interactive art and daily life, aiming to provide new ideas for the integration of interactive art into the daily life of the public and problem solving.
Optimization on Loan-to-value Ratios of Port’s Inventory Financing: Effects of Risk Aversion and Decision Preference
Authors: Diao Shujie , Kuang Haibo , Meng Bin
Published: May 2021

Under inventory financing mode, port offers joint logistics and financial services to a capital-constrained cargo-owner whose cargos are taken as collaterals. Port takes financial risk while gaining profit from both traditional logistics and derived financial services. This paper adopts Mean-CVaR criterion to formulate objective function and derive the equilibrium loan-to-value ratio. The Mean-CVaR model proposed in this article depicts risk-aversion attitude and decision preference of port under the uncertainty of collateral’s demand. The result shows that there is a positive relation between decision preference and loan-to-value ratio. The growth in risk aversion attitude prompts port to act cautiously by reducing the loan-to-value ratio.
Analysis of Military Training Security Risk Assessment Method Based on F-ANP
Authors: Pan Yunlin , Yi Wenan , Gao Yong , Wang Yongbin
Published: May 2021

Combining the arm training practice after the Strong Army Reform, this paper put forwards using the F-ANP method for military training security risks to semi- quantitative evaluation, builds the safety risk assessment index system of military training, semi-quantitative calculation and analysis, and put forwards the opinions of the security risk prevention and control suggestions. This paper enriches the military training of security risk assessment methods, and provides the reference to the research of military training safety risk assessment.
Impact of Consumer Satisfaction on Fresh E-commerce Repeat Purchase Behavior
Authors: Sun Xi
Published: May 2021

Fresh e-commerce appeals to consumers with its fast speed, easy operation, low price and various types in the field of fresh. However, the fresh e-commerce market is facing unprecedented competitive pressure. The repeat purchase behavior of consumers has become the focus of fresh e-commerce enterprises. Based on the literature research of consumer satisfaction and fresh e-commerce repeat purchase behavior, through the investigation of online shopping experience of consumers using fresh e-commerce and empirical research on the relationship between consumer satisfaction and fresh e-commerce repeat purchase, this paper puts forward some suggestions to improve consumer satisfaction and increase fresh e-commerce repeat purchase rate.
A Risk Prediction Model of Hard Landing Based on Random Forest Algorithm
Authors: Sun Ruishan , Li Chongfeng
Published: May 2021

Landing safety is a hot issue in civil aviation safety management. In order to fully mine the influence factors of hard landing in flight data and effectively predict the risk of hard landing, the random forest algorithm was introduced. Firstly, this paper qualitatively analyzed the influence factors of hard landing, and chose the features of the model based on the flight data. Secondly, this paper gives a quantitative analysis method of the importance of features based on Gini index. Finally, for the dataset of hard landing was class-imbalanced, the model was training based on SMOTE method. Then, the random forests classifier was built and verified by real flight data. The results showed that the recall rate of the model was 85.50%. The model can not only effectively prevent the occurrence of hard landing, but also provide a method reference for airlines to apply data mining to improve the ability of flight events management.
Evaluation and Optimization of Human Resource Supply in Packaging Design Project
Authors: Ye Baozhong , Chen Jian , Zhao Jing , Zeng Qingguang
Published: May 2021

In order to solve the problem of selection of human resource provider for the demander in package design project, firstly, the evaluation index system of provide side is established, and the entropy weight method is used to calculate the objective weight of the evaluation index; secondly, the subjective weight is solved by the five scale valuation method, and the comprehensive weight with subjective and objective significance is obtained; then, with the help of the ideal point method, the provide side is evaluated, which can provide a reference for the choice of the demander; finally, an example is given to verify the effectiveness and practicability of the method.
Application of Stabilization/Solidification (S/S) Method for Cadmium Pollution in Surface Sediments of the Dongjiaogou River in Kaifeng, China
Authors: Guo Shuya , Wang Ling , Wang Hongxia , Yang Bin , Su Xijian
Published: May 2021

Cd contamination of sediments poses a serious threat to the global environment human health. A detail and comprehensive investigation of cadmium (Cd) pollution in the surface sediments of Dongjiaogou River was carried out. Concentration analysis of Cd in various depth and locations was conducted based on 82 samples collected from the river surface sediments where the sediments is up to 353 mg/kg. Subsequently, stabilization/solidification (S/S) method, an effective method of improving the engineering properties of sediments and encapsulating contaminants, was applied in these sediments. According to the results, the Cd pollutant was treated effectively by S/S method, which verifies the feasibility to mitigate the hazards caused by Cd in those sediments from the river. Furthermore, the S/S sediments are favorable as filling material in the road for both recycling and construction.
Study on the Upper Paleozoic Source Rocks in Southwestern Henan, China
Authors: Sun Fengyu , Cao Gaoshe , Xing Zhou
Published: May 2021

The Upper Paleozoic strata in Southwestern Henan have good prospects for unconventional oil and gas exploration. This paper takes the Upper Paleozoic source rocks in the Yuzhou area and the Pingdingshan area in Southwestern Henan as the research object, and tests 107 samples from the Upper Paleozoic coal rock, mudstone and carbonate rock. Combined with the sedimentary environment background, the Upper Paleozoic source rocks in Southwestern Henan are comprehensively evaluated. The results show that the Upper Paleozoic source rocks in Southwestern Henan, including coal rocks, mudstone and carbonate rocks, can be used as potential source rocks. Vertically, the source rocks are continuously distributed in the lower layer below the sandstone of Shanxi Formation. The Dazhan sandstone is only locally developed; the distribution of Upper Paleozoic source rocks in Southwestern Henan is mainly related to the Late Paleozoic transgression.
Prediction of water-light output in water-light complementary systems
Authors: Yan Tian Xiao , Fan Hui Ying , Guo Su
Published: May 2021

With the increasing demand of electricity consumption for social development, China has vigorously promoted the development of renewable energy such as wind and solar energy in recent years. Since photovoltaic power generation has the characteristics of randomness, intermittency and volatility, which are not conducive to dispatching and grid-connection, and hydroelectric power generation has the characteristics of fast start-up and good peak adjustment, etc. Therefore, through the study of multiple linear regression model neural network prediction model Markov chain and other methods, the hydraulic resource output prediction model and photovoltaic resource output prediction model are built. The combination of the two can be used to predict the output of water and light resources more accurately and promote the development of water and light complementary industry in China. At present, there are few researches on the coupling of hydroelectric output and photovoltaic output at home and abroad. In this paper, the prediction of water-light output in water-light complementary systems by other scholars is reviewed.
Photo-response of Two-Dimensional Ruddlesden-Popper Perovskite Films for Photovoltaics
Authors: Wu Gao , Cai Molang , Dai Songyuan
Published: May 2021

Two-dimensional (2D) Ruddlesden-Popper (RP) perovskites have emerged as a prospective candidate to address the instability issues of traditional perovskite solar cells. However, the mechanisms of charge carrier transport of 2D perovskite films obtained by the solution process still remain elusive. In this work, we proposed a novel characterization technique based on the Kelvin probe force microscopy (KPFM) to investigate the micro-scale morphology and surface potential (SP) of the BA2MA3Pb4I13 films. In additionally, a Xenon laser source was adopted to realize the in-situ scanning of the light response of the perovskite film. The obvious increase in surface potential values in the same scanning area before and after white light illumination indicated the emergence of photo-generated charge carriers. Based on the unique photophysical properties and form formation features of the hot-cast BA2MA3Pb4I13 films, we fabricated the 2D perovskite solar cells (PSCs) with an efficiency of 10.95%. As a result, the in-situ KPFM is capable to serve as an effective approach to investigating the charge carrier behaviors in the 2D perovskites for photovoltaic applications.
An Air Pollution Prediction Scheme Using Long Short Term Memory Neural Network Model
Authors: Kim Jongchol
Published: May 2021

In order to establish countermeasures for air pollution, it is first necessary to accurately grasp the air pollution state and predict the cause and change trend of the pollution situation. Due to the continuously strengthening regulations on the emissions of environmental pollutants, the forecasting and management of nitrogen oxides (NOx) emissions is receiving a lot of attention from industrial sites. In this study, a model for predicting nitrogen oxide emissions based on artificial intelligence was proposed. The proposed model includes everything from data preprocessing to learning and evaluation of the model, and used a Long ShortTerm Memory (LSTM) neural network model, one of the recurrent neural networks, to predict NOx emissions with time-series characteristics. The optimized LSTM model showed more than 93% NOx emissions prediction accuracy for both the training data and the evaluation data. The model proposed in this study is expected to be applied to the development of a model for predicting the emission of various air pollutants with time-series characteristics.
The Research of Velocity Factors Sensitivity in Turbine Stages under Off-design Conditions
Authors: Jiang Junxu , Xu Jianqun , Zhou Lili , Xing Tianyang , Wang Hanyu
Published: May 2021

Velocity factors are important parameters to determine the efficiency of turbine stages, and it is necessary to systematically study the effect of decline in velocity factors on stages efficiency under off-design conditions. In this paper the definition of the sensitivity of the velocity factors is proposed and effect of each parameter on the sensitivity is analysed. A simplified off-design model was also established to study the change of sensitivity of a governing-stage and pressure stage under the varying mass flow conditions. The results show that for the calculated turbine, the nozzle sensitivity of the governing stage is always greater than the blade for off-design conditions, and the efficiency of the nozzle in the governing stage should be emphasized. While the sensitivity of the pressure stage is related to the flow rate, it is more meaningful to improve the blade velocity factors in large mass flow conditions and it is reverse for low mass flow conditions. These findings will be meaningful in the optimization of turbine operation and design
Analysis of Characteristics of Safety Accidents in University Laboratory and Research on the Causes of Accidents
Authors: Kong Shengli , Yang Pengfei , Fang Xinmei , Yang Zhen , Tang Chenlu , Wang Wei , Ying Chengjing
Published: May 2021

In recent years, under the background of the country’s vigorous development of science and education, the construction of university laboratories has been continuously progressing and perfecting. Under such rapid development, the safety management mode of university laboratories has been lagging behind and many safety accidents have occurred threatening teachers and students. The safety of university laboratories urgently needs more attention. This research briefly analyzes the safety management system of domestic and foreign university laboratories and related laws, regulations and standards and analyzes the types and characteristics of accidents and the causes of accidents through statistics of 50 college laboratory accidents in recent years. Based on the analytic hierarchy process to study the weight of the cause of the accident. It is concluded that laboratory safety management and personnel management are the main reasons for the accident.
Research on the Influence of Population Aging on Labor Cost in Hebei Province
Authors: Huo Shixin
Published: May 2021

Background. In the 1970s and 1980s, China implemented the family planning policy, which increased the proportion of the working age population by controlling the population fertility rate, bringing a demographic dividend to China at that time. Because of the implementation of family planning policy, China has stepped into an aging society in advance. The aging of population has a profound impact on all aspects of society. This paper has a strong practical significance for the study of the impact of aging of population on labor cost. Methods. Based on the theories of population transformation, population dividend and market supply-demand equilibrium, this paper uses the methods of literature review and statistical analysis to look up the relevant data of Hebei Provincial Bureau of statistics and National Bureau of statistics, and uses Stata16 to analyze the correlation and significance test between the elderly population coefficient and labor cost. Finally, it analyzes the relationship between the aging population and labor supply and demand the influence path is discussed. Results. The results show that there is a significant positive correlation between the elderly population coefficient and labor cost. Conclusion. The aging of population structure makes the supply of young and middle-aged labor insufficient. At the same time, due to the strong demand of the old industry, the demand for labor increases. The imbalance of supply and demand leads to the increase of labor cost. The aging of the population indirectly increases the number of years of education for the labor force, the increase of the labor force’s investment in its own human capital and the gradual improvement of the current social security system, which also increases the labor cost from the side.
Influence of water injection atomization on the performance of water-lubricated single screw air compressor
Authors: Li Yanan , Wang Jingfu , Wu Yuting , Lei Biao
Published: May 2021

As the whole society attaches great importance to the safety of food and medicine, and hydrogen fuel cell and new energy vehicle industry rises suddenly, people’s requirements for clean compressed air is more and more urgent. Water-lubricated single screw compressor is an ideal choice for providing clean air because of the advantages of balanced force, a long service life, and high efficiency, and the influencing factors of its performance have received more and more attention. This study established a mathematical model of the working process of a water-lubricated single-screw air compressor to study the relationship between its performance and the water injection atomization. The model considered leakage and heat transfer between water and moist air and analysed the influences of droplet diameter and rotation speed on compressor performance. The results showed that water injection atomization can effectively reduce the discharge temperature, make the compression process of the compressor tend to isothermal compression. Under rated conditions, a reduction in the droplet diameter from 0.25 mm to 0.15 mm reduced the discharge temperature of the compressor, improved the volume efficiency, and improved the adiabatic efficiency by 31 K, 2.6%, and 8.2%, respectively.
Design And Implementation Of Intelligent Fog Guidance System
Authors: Cui Hongmei , Tan Yahong , Lin Wenzhang
Published: May 2021

The fog-prone areas of expressway are mainly affected by special geographical environment, most of which occur in mountainous and hilly areas, lake depressions, remote suburbs and other places. The intelligent fog zone guidance system can automatically change the working mode according to the visibility of the environment. In addition, it can also communicate with the Information Board on the spot and announce the road condition ahead of time, so that vehicles can be reminded and guided at the front end of the road where the fog occurs and at the road where the fog occurs, which makes up for the deficiency of the traditional method.