bluuebunny/crossref_metadata_2025 huggingface dataset:
Nanofabrication of high Q, transferable diamond resonators
Authors: Regan Blake , Trycz Aleksandra , Fröch Johannes E. , Schaeper Otto Cranwell , Kim Sejeong , Aharonovich Igor
Published: April 2021

Schematic illustration of a 1D diamond nanobeam cavity.
Mechanoluminescence and aggregation-enhanced emission (AEE) of an In-MOF based on a 9,9′-diphenyl-9H-fluorene tetraacid linker
Authors: Jindal Swati , Anjum Gulshan , Maka Vijay Kumar , Moorthy Jarugu Narasimha
Published: April 2021

Mechanical grinding of an In-MOF constructed from a conformationally-flexible tetraacid linker leads to remarkable aggregation-enhanced emission of MOF particles; a suspension of the latter in an aqueous medium permits sensing of Al3+ ions.
Multiscale surface modified magneto-mechano-triboelectric nanogenerator enabled by eco-friendly NaCl imprinting stamp for self-powered IoT applications
Authors: Kwak Min Sub , Lim Kyung-Won , Lee Ha Young , Peddigari Mahesh , Jang Jongmoon , Jeong Chang Kyu , Ryu Jungho , Yoon Woon-Ha , Yi Sam Nyung , Hwang Geon-Tae
Published: April 2021

This work reports a multiscale micro- and nano-structured magneto-mechano-triboelectric nanogenerator (MMTENG) enabled by an eco-friendly NaCl particle imprinting process to operate an internet of thing (IoT) sensor.
The effect of deoxyfluorination and O-acylation on the cytotoxicity of N-acetyl-d-gluco- and d-galactosamine hemiacetals
Authors: Hamala Vojtěch , Červenková Šťastná Lucie , Kurfiřt Martin , Cuřínová Petra , Balouch Martin , Hrstka Roman , Voňka Petr , Karban Jindřich
Published: April 2021

Multiple deoxyfluorination of GlcNAc/GalNAc hemiacetals generated cytotoxic compounds.
Oxazolidone formation: myth or fact? The case of biobased polyurethane foams from different epoxidized triglycerides
Authors: Peyrton Julien , Avérous Luc
Published: April 2021

Study of the oxazolidone formation by reaction between disubstituted epoxide and isocyanate in polyurethane foams and model.
Functionalization of liquid metal nanoparticles via the RAFT process
Authors: Fan Bo , Wan Jing , Liu Yiyi , Tian Wendy Wenjun , Thang San H.
Published: April 2021

The proper design and selection of RAFT agents allow the preparation of eutectic gallium–indium (EGaIn) based liquid metal nanoparticles with grafted polymers.
Effect of noncovalent interactions in ion pairs on hypervalent iodines: inversion of regioselectivity in sulfonyloxylactonization
Authors: Nishimoto Yoshihiro , Fujie Masaki , Hara Junki , Yasuda Makoto
Published: April 2021

The noncovalent interactions between the sulfonyloxy group and the cationic nitrogen-containing heterocyclic moiety substituted in hypervalent iodines caused specific regioselectivity in the sulfonyloxylactonization of 2-vinyl benzoic acids.
Catalyst-free one-pot, four-component approach for the synthesis of di- and tri-substitutedN-sulfonyl formamidines
Authors: Liu Ai-Ran , Zhang Lei , Li Jiao , Wusiman Abudureheman
Published: April 2021

We report a one-pot, four-component catalyst-free strategy for the synthesis of di- and tri-substitutedN-sulfonylformamidines, from simple, widely-available precursors.
Environmental fate and impacts of microplastics in aquatic ecosystems: a review
Authors: Du Sen , Zhu Rongwen , Cai Yujie , Xu Ning , Yap Pow-Seng , Zhang Yunhai , He Yide , Zhang Yongjun
Published: April 2021

The sources, fate and impacts of microplastics in aquatic ecosystems.
Hit-optimization using target-directed dynamic combinatorial chemistry: development of inhibitors of the anti-infective target 1-deoxy-d-xylulose-5-phosphate synthase
Authors: Jumde Ravindra P. , Guardigni Melissa , Gierse Robin M. , Alhayek Alaa , Zhu Di , Hamid Zhoor , Johannsen Sandra , Elgaher Walid A. M. , Neusens Philipp J. , Nehls Christian , Haupenthal Jörg , Reiling Norbert , Hirsch Anna K. H.
Published: April 2021

Target-directed dynamic combinatorial chemistry was used for hit-identification and subsequent hit-optimization for the anti-infective target 1-deoxy-d-xylulose-5-phosphate synthase resulting in novel inhibitors with low micromolar affinities.
Exploring the Franck–Condon region of a photoexcited charge transfer complex in solution to interpret femtosecond stimulated Raman spectroscopy: excited state electronic structure methods to unveil non-radiative pathways
Authors: Coppola Federico , Cimino Paola , Raucci Umberto , Chiariello Maria Gabriella , Petrone Alessio , Rega Nadia
Published: April 2021

We present electronic structure methods to unveil the non-radiative pathways of photoinduced charge transfer (CT) reactions that play a main role in photophysics and light harvesting technologies.
Selective formation of Pt12L24 nanospheres by ligand design
Authors: Bobylev Eduard O. , Poole III David A. , de Bruin Bas , Reek Joost N. H.
Published: April 2021

We present a systematic study on the formation of Pt12L24 self-assemblies. By introducing steric bulk or charged moieties at the inside of the nanosphere Pt12L24 self-assemblies form in excellent selectivity as kinetically trapped intermediates are destabilized.
Tunable Dimroth rearrangement of versatile 1,2,3-triazoles towards high-performance energetic materials
Authors: Feng Shangbiao , Yin Ping , He Chunlin , Pang Siping , Shreeve Jean'ne M.
Published: April 2021

A highly efficient strategy of two different types of nitrogen-rich heterocyclic energetic compounds, featuring a single NH-bridge (–NH–) and a fused ring, was demonstrated by virtue of Dimroth rearrangement reactions.
Effective stability enhancement in ZnO-based perovskite solar cells by MACl modification
Authors: Liu Chunyu , Wu Wei , Zhang Dezhong , Li Zhuowei , Ren Guanhua , Han Wenbin , Guo Wenbin
Published: April 2021

To overcome the shortcomings of ZnO in PSCs comprising organic cations-based perovskite, MACl is used to eliminate the deprotonization ability of ZnO, which thereby enhances the stability and improves the device efficiency, simultaneously.
Construction of an AuHQ nano-sensitizer for enhanced radiotherapy efficacy through remolding tumor vasculature
Authors: Wang Xiaohui , Niu Xiaoyan , Zhang Xiaolei , Zhang Zhenjie , Gao Xuefeng , Wang Wei , Yuan Zhi
Published: April 2021

An amazing nanoplatform (AuHQ) was utilized to normalize tumor vessels, thereby relieving tumor hypoxia and significantly increasing the accumulation of nanoparticles at a tumor site, which can significantly improve the radiotherapy efficacy.
Stable MOF@enzyme composites for electrochemical biosensing devices
Authors: Singh Ruhani , Musameh Mustafa , Gao Yuan , Ozcelik Berkay , Mulet Xavier , Doherty Cara M.
Published: April 2021

Combining the MOF biomimetic mineralisation of enzymes with electrochemical sensing, an ultra-stable proof-of-concept biosensor with a clinically relevant wide linear range of 1–10 mM glucose and a detection limit of 0.05 mM is fabricated.
Electrolytes for reversible zinc electrodeposition for dynamic windows
Authors: Madu Desmond C. , Islam Shakirul M. , Pan Hanqing , Barile Christopher J.
Published: April 2021

Reversible Zn electrodeposition electrolytes enable dynamic window with electronically tuneable transmission.
La12Sb9S38: a new semiconducting lanthanum antimony polysulfide with a mixed La/Sb site
Authors: Menezes Luke T. , Richter-Bisson Zoltan W. , Assoud Abdeljalil , Kleinke Holger
Published: April 2021

This new material's structure comprises several split sites, resulting in a low thermal conductivity.
Achieving 46% efficient white-light emissive carbon dot-based materials by enhancing phosphorescence for single-component white-light-emitting diodes
Authors: Li Qijun , Li Yuchen , Meng Shuai , Yang Jian , Qin Yukun , Tan Jing , Qu Songnan
Published: April 2021

46% efficient white-light emissive carbon dot-based materials are successfully prepared by enhancing phosphorescence emission and are applied to single-component white-light-emitting diodes.
Disilane-bridged architectures with high optical transparency for optical limiting
Authors: Feng Hongjie , Zhou Zhikuan , May Aviwe K. , Chen Jiaying , Mack John , Nyokong Tebello , Gai Lizhi , Lu Hua
Published: April 2021

A novel tetraphenylethylene (TPE) architecture that makes use of a disilane bridge was developed to successfully prepare organic optical power limiting (OPL) materials with high transparency.
La cryo-microscopie électronique révèle une nouvelle vision de la cellule et de ses composants
Authors: Lévy Daniel , Di Cicco Aurélie , Bertin Aurélie , Dezi Manuela
Published: April 2021

La cryo-microscopie électronique (cryo-EM) est une technique d’imagerie du vivant qui prend désormais une place prépondérante en biologie structurale, avec des retombées en biologie cellulaire et du développement, en bioinformatique, en biomédecine ou en physique de la cellule. Elle permet de déterminer des structures de protéines purifiées in vitro ou au sein des cellules. Cette revue décrit les principales avancées récentes de la cryo-EM, illustrées par des exemples d’élucidation de structures de protéines d’intérêt en biomédecine, et les pistes de développements futurs.
Usefulness of New Shear Wave Elastography Technique for Noninvasive Assessment of Liver Fibrosis in Patients with Chronic Hepatitis B: A Prospective Multicenter Study
Authors: Wang Jinfen , Wu Manli , Linghu Runze , Chang Jiandong , Wu Min , Feng Cheng , Ren Xinping , Liu Changzhu , Lin Jie , Song Tao , Gu Jionghui , Zhang Yao , Fang Ye , Ma Sumei , Hu Pingxiang , Wu Linsong , Han Xue , Chen Kaixuan , Shi Qiusheng , Zhang Ruifang , Zhou Qi , Du Ruiqing , Gao Yongyan , Jing Xiang , Yang Shunshi , Zhou Chang , Zheng Jian , Liang Ping , Zheng Rong-Qin
Published: April 2021

Purpose To explore the usefulness of liver stiffness measurements (LSMs) by sound touch elastography (STE) and sound touch quantification (STQ) in chronic hepatitis B (CHB) patients for staging fibrosis.

Methods This prospective multicenter study recruited normal volunteers and CHB patients between May 2018 and October 2019. The volunteers underwent LSM by STE and supersonic shear imaging (SSI) or by STQ and acoustic radiation force impulse imaging (ARFI). CHB patients underwent liver biopsy and LSM by both STE/STQ. The areas under the receiver operating characteristic curves (AUCs) for staging fibrosis were calculated.

Results Overall, 97 volunteers and 524 CHB patients were finally eligible for the study. The successful STE and STQ measurement rates were both 100 % in volunteers and 99.4 % in CHB patients. The intraclass correlation coefficients (ICCs) for the intra-observer stability of STE and STQ (0.94; 0.90) were similar to those of SSI and ARFI (0.95; 0.87), respectively. STE and STQ showed better accuracy than the aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4) (AUC: 0.87 vs 0.86 vs 0.73 vs 0.77) in staging cirrhosis. However, both STE and STQ were not superior to APRI and FIB-4 in staging significant fibrosis (AUC: 0.76 vs 0.73 vs 0.70 vs 0.71, all P-values > 0.05).

Conclusion STE and STQ are convenient techniques with a reliable LSM value. They have a similar diagnostic performance and are superior to serum biomarkers in staging cirrhosis in CHB patients.
Improved predictions of thermomechanical properties of molecular crystals from energy and dispersion corrected DFT
Authors: Bidault X. , Chaudhuri S.
Published: April 2021

Thermal stability and pressure-dependent changes are key to molecular crystals and their properties. The determination of their thermal properties from ab initio methods is, however, a challenging task. While the low-frequency phonon spectrum related to intermolecular vibrations remains difficult to describe, the Quasi-Harmonic Approximation (QHA) also induces for molecular crystals a significant volume deviation, which makes their thermal behavior ill-determined. To overcome these difficulties, we consider a pragmatic energy correction (EC) that has long been used for atomic crystals, and we presently report the first ever use for molecular crystals. Applying the QHA in dispersion-corrected density functional theory (DFT-D) calculations with an ab initio parameterized EC, the resulting model can simultaneously and accurately derive thermal and mechanical properties of high-explosive molecular crystals. When compared to experiments, the mean absolute percent error of previous DFT-based thermomechanical models is 12% for mechanical and 31% for thermal properties. Our model performs significantly better and reduces these uncertainties to 4.1% and 9.8%, respectively. In particular, the agreement between our model and experiments for the thermal properties is three times better. This significant improvement greatly benefits the determination of thermomechanical properties such as the Grüneisen parameter and the shock properties. The method has been successfully applied to molecular crystals showing a large diversity of weak intermolecular interactions (β-1,3,5,7-tetranitro-1,3,5,7-tetrazoctane (HMX), α-1,1-diamino-2,2-dinitroethylene (FOX-7), Triaminotrinitrobenzene (TATB), ε-Hexanitrohexaazaisowurtzitane (CL20), and Pentaerythritol tetranitrate (PETN)-I). Due to its accuracy and transferability, our model is expected to work for a large class of computationally designed molecular crystals and co-crystals, providing a basis for a predictive framework.
A polarizable three-layer frozen density embedding/molecular mechanics approach
Authors: Egidi Franco , Angelico Sara , Lafiosca Piero , Giovannini Tommaso , Cappelli Chiara
Published: April 2021

We present a novel multilayer polarizable embedding approach in which the system is divided into three portions, two of which are treated using density functional theory and their interaction is based on frozen density embedding (FDE) theory, and both also mutually interact with a polarizable classical layer described using an atomistic model based on fluctuating charges (FQ). The efficacy of the model is demonstrated by extending the formalism to linear response properties and applying it to the simulation of the excitation energies of organic molecules in aqueous solution, where the solute and the first solvation shell are treated using FDE, while the rest of the solvent is modeled using FQ charges.
The mechanism of alkali doping in CsPbBr3: A first-principles perspective
Authors: Zhang Xuyang , Ma Qingwei , Li Ruiping , Lin Changqing , Huang Dan , Cheng Yingchun
Published: April 2021

All-inorganic CsPbBr3 perovskite doped with alkali metal atoms has been attracting increasing attention due to its superior optoelectronic properties. However, there still exists significant uncertainty regarding the doping mechanism. One view of the mechanism is that alkali metal atoms tend to substitute Cs in CsPbBr3 crystals. Another view is that Li and Na tend to intercalate into interstitial sites because their radii are much smaller than that of Cs. To elucidate the doping mechanism, it is necessary to investigate the point defects physics of alkali metal elements in CsPbBr3. In this work, by using first-principles calculations we find that alkali metal atoms energetically prefer to substitute for Cs or Pb atoms in CsPbBr3 crystals under different chemical potential conditions. To determine the alkali metal atoms doping site, one should consider the chemical potential of synthesis conditions, the dopant valence states, and atomic radii. Notably, alkali metal atoms doping mainly introduces shallow levels, which is helpful for improving the p-type conductivity of CsPbBr3.
Upstream events dictate interfacial slip in geometrically converging nanopores
Authors: Mondal Nilanjan , Chaudhuri Abhirup , Bakli Chirodeep , Chakraborty Suman
Published: April 2021

Continuum computations of fluid flow in conduits approaching molecular scales are often executed with a certain level of abstractions via the imposition of a pre-defined slip condition at the wall. However, in reality, the interfacial slip may not be affixed a priori as a direct one-to-one mapping with the surface wettability and charge but is implicitly interconnected with the concomitant dynamical events that may be effectively captured only under flow conditions. The flow in nanofluidic channels with axially varying cross sections hallmarks such situations in which the effective slip at the wall gets dynamically modulated by upstream flow conditions and cannot be trivially stamped as guided by localized intermolecular interactions over interfacial scales alone. In an effort to capture such flows without resorting to full-domain molecular dynamics simulations, here we bring out advancements on hybrid molecular-continuum simulations and report predictions that closely capture molecular dynamics based predictions of water transport through converging nanopores. Our results turn out to be of significant implications toward designing of emerging nanoscale devices of multifarious applications ranging from miniaturized reactors to highly targeted drug delivery systems.
BODIPY derivatives as fluorescent reporters of molecular activities in living cells
Authors: Martynov Vladimir I. , Pakhomov Alexey A.
Published: April 2021

Fluorescent compounds have become indispensable tools for imaging molecular activities in the living cell. 4,4-Difluoro-4-bora-3a,4a-diaza-s-indacene (BODIPY) is currently one of the most popular fluorescent reporters due to its unique photophysical properties. This review provides a general survey and presents a summary of recent advances in the development of new BODIPY-based cellular biomarkers and biosensors. The review starts with the consideration of the properties of BODIPY derivatives required for their application as cellular reporters. Then review provides examples of the design of sensors for different biologically important molecules, ions, membrane potential, temperature and viscosity defining the live cell status. Special attention is payed to BODPY-based phototransformable reporters.

The bibliography includes 339 references.
Nucleic acid ligands act as a PAM and agonist depending on the intrinsic ligand binding state of P2RY2
Authors: Takahashi Masaki , Amano Ryo , Ozawa Michiru , Martinez Anna , Akita Kazumasa , Nakamura Yoshikazu
Published: April 2021

Significance

Discovery of ligands for G protein–coupled receptors (GPCRs) is of importance in receptor biology and pharmacology but is still a challenging issue. Here, we propose a method for the discovery of ligands against GPCRs by employing a virus-like particle (VLP) and show unique properties of identified nucleic acid aptamers for GPCR. One aptamer raised against purinergic receptor P2Y2 (P2RY2), a GPCR, behaves like a partial agonist to unliganded receptor, whereas it exhibits a positive allosteric modulator (PAM) activity to liganded receptor. We demonstrate the validity of our aptamer screening method targeting VLP-stabilized GPCR and a unique aptamer with dual function, agonist and PAM, for GPCR, depending on whether the intrinsic ligand is prebound to the receptor.
Increased letter spacing and greater letter width improve reading acuity in low vision readers
Authors: Beier Sofie , Oderkerk Chiron A. T. , Bay Birte , Larsen Michael
Published: April 2021

Low vision readers depend on magnification, but magnification reduces the amount of text that can be overviewed and
hampers text navigation. In this study, we evaluate the effects that font variations letter spacing, letter width, and letter boldness have
on low vision reading. We tested 20 low-vision patients with age-related macular degeneration (AMD) and used the Radner Reading Chart, which
measures reading acuity (logRAD), maximum reading speed, and critical print size. The results demonstrated a small, but measurable effect of letter spacing and letter width on reading acuity near critical font sizes.
Interacting fermions in narrow-gap semiconductors with band inversion
Authors: Panday Suman Raj , Dzero Maxim
Published: April 2021

Highly unconventional behavior of the thermodynamic response functions has been experimentally observed in a narrow gap semiconductor samarium hexaboride. Motivated by these observations, we use renormalization group technique to investigate many-body instabilities in the f-orbital narrow gap semiconductors with band inversion in the limit of weak coupling. By projecting out the double occupancy of the f-states we formulate a low-energy theory describing the interacting particles in two hybridized electron- and hole-like bands. The interactions are assumed to be weak and short-ranged. We take into account the difference between the effective masses of the quasiparticles in each band. Upon carrying out the renormalization group analysis we find that there is only one stable fixed point corresponding to the excitonic instability with time-reversal symmetry breaking for small enough mismatch between the effective masses.
Exploring statically indeterminate: examples allowing a simple resolution
Authors: Ivchenko Vladimir
Published: April 2021

We consider the cases of a beam hanging from four and three strings. In addition to the static equilibrium equations, these statically indeterminate structures can be easily resolved for the unknown tension forces with only using Hooke’s law.
Effects of ferromagnetic-material thickness on magnetoelectric voltage transformation in a multiferroic heterostructure
Authors: Saveliev Dmitry , Fetisov Leonid , Chashin Dmitry , Fetisov Yuri , Khon Anastasia , Shamonin Mikhail
Published: April 2021

A magnetoelectric (ME) voltage transformer is fabricated on the basis of a ferromagnetic (FM)–piezoelectric (PE) heterostructure comprising two equally thick laminated layers of an amorphous FM alloy and a piezoceramic lead zirconate-titanate layer sandwiched between them. The structure, placed inside an excitation coil, is electrically poled and magnetized in the direction of the long axis. The primary voltage is applied to the coil and the secondary voltage is measured between the electrodes of the PE material. It is shown for the first time that the change in the total thickness of magnetic layers significantly influences the transformer´s characteristics. At the largest total thickness of FM layers of 138 µm, the open-circuit voltage transformation ratio K has a maximum value of about 20, and the power transfer efficiency η at a matched resistive load of about 20 kΩ reaches 45%. The variation of the control magnetic field in the range of 0–21.6 kA m−1 makes it possible to change the voltage transformation ratio K from zero to the maximum value. A simple model allows one to calculate the dependence of the characteristics of the ME transformer on the frequency of the primary voltage, thickness of the FM layers, control magnetic field, and the load.
Buckling analysis of square Functionally Graded Material (FGM) plate using Discrete Kirchhoff Mindlin Triangular (DKMT) element
Authors: Harahap M P S , Maknun I J , Katili I
Published: April 2021

This paper presents the convergence behavior of Discrete Kirchhoff Mindlin Triangular (DKMT) element in buckling analysis under uniaxial compression of square plate problems. The DKMT element has a good result for a thin plate and a thick plate. For the Functionally Graded Material (FGM) problem, the DKMT element is reformulated. FGM is a graded composite material that has high-temperature and structural flexibility resistance. The numerical results of mechanical buckling of square FGM plate under uniaxial compression using the DKMT element are reported. The critical buckling of the square FGM plate is compared to the reference existing solutions. The effects of parametric variation, such as the type of meshing, boundary conditions, power-law index, and ratio L/h are presented. The results show that the DKMT element gives good results on the buckling analysis of square FGM plate problems.
Stability Analysis of a Fractional-Order Leslie-Gower Model with Allee Effect in Predator
Authors: Rahmi Emli , Darti Isnani , Suryanto Agus , Trisilowati  , Panigoro Hasan S.
Published: April 2021

In this paper, the dynamics of a fractional-order Leslie-Gower model with Allee effect in predator is investigated. Firstly, we determine the existing condition and local stability of all possible equilibrium points. The model has four equilibrium points, namely both prey and predator extinction point, the prey extinction point, the predator extinction point, and the interior point. Furthermore, we also show the dynamic changing around the interior point due to the changing of the order of the fractional derivative, namely the Hopf bifurcation. In the end, some numerical simulations are demonstrated to illustrate the dynamics of the model. Here we show numerically the local stability, the occurrence of Hopf bifurcation, and the impact of the Allee effect to the prey and predator densities.
Study on Terahertz Time-domain Spectral Signatures of Wheat from Different Years
Authors: Shen Yin , Bin Li , Zhao Chunjiang , Li Guanglin
Published: April 2021

Wheat freshness is an important factor affecting wheat quality. In the current research, a total of 375 wheat samples from five different years (2016, 2017, 2018, 2019 and 2020) were identified by using the terahertz time-domain spectroscopy (THz-TDS) technology. The THz spectrum information of wheat was acquired, and the THz-TDS signals of wheat were obtained after Savitzky-Golay pretreatment. Then the data of frequency-domain spectra, refractive index spectra and absorption spectra of wheat within the range of 0.2∼1.4 THz were obtained after calculating the optical parameters. According to the experiment results, there were differences in the refractive indexes and absorption coefficients of wheat samples from different years. The refractive indexes of wheat samples from 2020 were significantly lower than that of wheat samples from other years, and the absorption coefficients of all five kinds of samples increased as the frequency increased. The study results showed that THz-TDS was of great potential for the effective determination of wheat freshness and it provided a basis for determination of wheat quality, bearing great practical significance.
Short-term prediction model of photovoltaic power generation based on rough set-BP neural network
Authors: Ma Xiaoling , Pang Qingle , Xie Qingsong
Published: April 2021

It is very important to predict the photovoltaic power generation because of the great challenges to the safe and stable operation of the power grid. Based on the analysis of traditional forecasting models, a power generation forecasting model based on rough set and neural network is proposed. Firstly, the Hampel filtering algorithm and rough set theory are used to process outliers and redundant data for the collected information. The above algorithms solve the problem of big data processing before forecasting. Finally, the fuzzy C-means clustering was used to divide the data set and combined with the neural network to predict. The key weather feature variables combined with the forecast time were taken as the input and the power was taken as the output variable. The results show that the prediction method proposed in this paper is more accurate and fast in predicting the power generation at each time.
Markov model in home energy management system
Authors: Bai Jiayuan
Published: April 2021

An intelligent home energy management system was proposed. Reinforcement learning and a markov prediction model were used to help the system make decisions. The Markov model predicted the future state of users or the weather, and the intelligent decisionmaking support system sent signals to local controllers to control furniture. This work benefits energy management because if the system knows the user’s next state, it can control a specific appliance to save energy. Meanwhile, if the system can predict the weather, the house can use green energy rationally. The proposed energy management system could be applied in an intelligent house, city energy management systems, and building energy management. The state prediction helped the decision-making system make accurate and rational decisions.
Distribution Network Island Partition and Black Start Based on Distributed Generation
Authors: Li Jian , Xiao Qiang , He Ge , Fu Yameng
Published: April 2021

In order to reduce the power outage loss of the grid after a large area power failure in the regional power system, it is necessary to start the black power grid as soon as possible. For distribution networks with distributed generation (DG), it is of great significance to determine the partition scheme of islands and put forward the black start strategy of DG to continue to supply power to the loads, so as to reduce the power outage loss. Fully considering the importance of loads and their controllability, an island partition scheme of two steps are proposed based on the established mathematical model. The primary island is formed by using the dynamic programming algorithm, and then, the secondary island is formed by modifying primary island according to certain rules, thus obtaining the optimal island. Then the starting sequence of the black start power supply in the island is determined by Analytic Hierarchy Process (AHP) and the black start strategy is obtained. The effectiveness of the proposed island partition and black start strategy is verified by using the example of PG&E69-node system.
Neural Network Quantization Methods For Voice Wake Up Network
Authors: Zhang Shurui , Li Xiangyu , Zhang Chen
Published: April 2021

Quantifying the pre-trained neural network model can reduce its storage size and speed up the forward-inference process. Previous researches for the quantization of voice wake up networks couldn’t reach our anticipation for applying it to applications. The voice wake up network is mainly composed of recurrent neural network and classification function. Recurrent neural network can take preorder words into consideration and it widely used in voice network. In this paper, we propose method to quantize the structure of recurrent neural networ including RNN, GRU and LSTM by optimizing the method of quantifying the activation function. At the same time, using the translation invariance of the classification function to improve classification accuracy on Speech commands dataset version 2. Using the method proposed in this paper, we can make the quantized model achieve a better voice wake up rate.
Research on Intelligent Temperature Control Technology for Spacecraft with Instantaneous High Power Load
Authors: Wang Jin , Gong Mengmeng , Zhu Shanglong , Zhang Qun , Chen Yi , Li Defu , Deng Wan , Qi Feng
Published: April 2021

Thermoelectric modules are widely studied by domestic and foreign experts and scholars because of their light weight, small size, absence of mechanical moving parts, and the ability to switch between cooling and heating and adjust the cooling/heating capacity by current. Based on the advantages of thermoelectric modules, this paper proposes an innovative thermoelectric module-based intelligent temperature control device for instantaneous high-power payloads of spacecrafts, which can realize the rapid heat dissipation of high power payloads and adjust the current of thermoelectric modules through intelligent temperature control strategies to precisely regulate the payload temperature. The results show that the thermal control device can efficiently control the heat of the instantaneous high power load during the orbit, and the precision temperature control of the thermoelectric cooling work during the load operation is achieved with the temperature control accuracy of ±0.5°C.
Feature Point Matching Based on Local Relative Velocity Consensus
Authors: Shao Feng , Liu ZhaoXia , Jubai
Published: April 2021

Feature matching is still a crucial and challenging problem in image processing. In this paper, a novel feature matching algorithm based on local relative velocity consensus (LRVC) is proposed to find two accurate matched feature points. To remove the outliers accurately and robustly, the relative velocity between the putative matches and their corresponding neighbors are exploited. Based on the consensus of relative velocity and the consensus of neighborhood elements, the similarity of each putative matches is evaluated. With a two iteration outlier removal strategy, the feature points are matched accurately and robustly. In the experiment, VGG dataset are used to verify the accuracy and robustness of the proposed method LRVC. The matching results indicate that our method is superior to three other classic feature matching methods.
A Terahertz 3dB Waveguide Power Divider with 90° Phase Shifter Integrated
Authors: Jin Liang , Li Xiaojun , Zhu Zhongbo
Published: April 2021

A 3dB power divider is designed based on E-plane waveguide directional coupler and self-compensating waveguide phase shifter. This power divider was implemented with a center frequency at 110GHz. Simulation results show that amplitude balance within ±0.3dB and phase balance within +0.5/-1.2 degrees, and isolation is better than -15 dB from 100 to 120 GHz. It has good performance in-band flatness and bandwidth is 18%. It can be used in terahertz communication system.
Identifying 3D Models by Matching Rendered Image and Depth Image with Using a New Combined Descriptor
Authors: Jiang Dayou
Published: April 2021

This paper presented a 3D model identification method by matching pairs of rendered images and depth images. Firstly, the technique uses the HARRIS detector and PIIFD detector (partial intensity invariant feature descriptor) to detect feature points of rendered-depth image pair of shape and then uses LGHD (Log-Gabor Histogram Descriptor) to descript these feature points. Secondly, the shape identification processing is conducted, including normalizing shape pose, capturing multi-view pairs of rendered images and depth images, and image matching. Finally, 100 pairs of 3D models are used for the experiment. The experiment results show that the proposed method has an efficient performance on rendered-depth image matching and can be used for 3D model identification.
An Improved Compensation Current Detection Method of Static Synchronous Compensator
Authors: Tongsheng Wei , xiaochen Zhang , Xueying Qiu , Kangheng Qiao , Jianchao Xu
Published: April 2021

When the load current check point and compensation injection point of the Static Synchronous Compensator (STATCOM) are at different positions and there are differences in phase and amplitude, there will be a detection difference. To solve this problem, this paper proposes an improved STATCOM compensation command current detection method based on the ip-iq algorithm. This method can eliminate errors and improve detection accuracy by setting the preset phase angle and proportional integral (PI) controller according to the voltage phase and amplitude difference between the check point and the compensation point, thus breaking through the traditional ip-iq. The algorithm is only applicable to the situation where the detection point and the compensation point are at the same position, which improves the accuracy of detection. Theoretical analysis and simulation results show the effectiveness of the method. S
Research on radar main lobe false target jamming feature extraction based on time-frequency domain and fluctuation characteristics
Authors: Wu Ke , Cha Hao
Published: April 2021

Aiming at radar main lobe false target jamming, the forms of target echo and jamming signal are analyzed, and its modeling and simulation are carried out. By extracting the 11 dimensional features of time domain, frequency domain and amplitude fluctuation characteristics, it is proved that it is distinguishable for real target echo and false target jamming signal through simulation experiment, and a feature model is established; aiming at the shortcomings of traditional classification model, bagging algorithm is applied to deal with the over fitting phenomenon. Simulation results show that the feature model established in this paper has good performance in bagging algorithm.
Small Face Detection Based On Feature Fusion
Authors: Hao Zili , Shi Hangqi
Published: April 2021

While great progress has been made in face detection, one of the remaining challenges is to detect the faces of small targets in images. The small target face we define, mainly includes the absolute size of the face is not greater than 32×32 pixels and the relative proportion of the face size is not greater than one tenth of the image size. To meet this challenge, we propose an effective face detector, called SmallFaceBoxes, which has a better performance in both speed and accuracy. Specifically, our method has a lightweight but powerful network structure consisting of small target face detection layers and multi-scale convolution layers. The design of small target face detection layers enables detector to increase the representation ability of small and medium-sized faces in the image and improve the detection accuracy of small faces. The multi-scale convolution layers aim at enriching the receptive fields and discretizing anchors over different layers to handle faces of various scales. In addition, according to the size of receptive field, we propose a strategy of setting Anchor in multiple feature layers, thus improving the recall rate of small face. As a consequence, our algorithm performs well on the wideface dataset.
Adaptive droop control of DC distribution network considering photovoltaic output power margin
Authors: Qing Liu , Tongyu Zhang
Published: April 2021

When multiple photovoltaic power sources are connected in parallel in the DC distribution network, photovoltaic with different output have differences in the regulation capacity of unbalanced power of the system. In order to make full use of the power margin of photovoltaic to adjust the DC bus voltage, this paper proposes an adaptive droop control of DC distribution network considering the photovoltaic output power margin. The voltage signals of the input and output terminals of the PV side converter are used to judge the system load change and the output of the photovoltaic power supply. On the basis of traditional droop control, the droop coefficient is modified based on the input voltage deviation of PV side converter to realize the reasonable distribution of the unbalanced power between photovoltaic power sources with different power margin. The output impedance characteristic model of PV side converter is established, and the adaptive droop control proposed in this paper can effectively improve the stability of multi PV parallel connected DC distribution system. Finally, the effectiveness of the proposed control method is verified by MATLAB/simulink platform simulation.
An Inexact Double Primal-Dual Algorithm for Saddle Point Problems
Authors: Fang Changjie , Chen Jingyu
Published: April 2021

In this paper, we study a saddle point problem and propose an inexact double primal-dual algorithm for solving the saddle point problem. The sequence generated by the proposed algorithm is proved to globally converge to the saddle point of the saddle point problem in the ergodic sense, and the convergence rate of the algorithm is also obtained. For the model of total variation image processing, the performance of the algorithm is demonstrated. Simulation results show that our method is more efficient in image denoising compared with existing methods.
A Formal Verification Method for Security Protocol Implementations Based on Model Learning and Tamarin
Authors: Zhang Xieli , Zhu Yuefei , Gu Chunxiang , Miao Xuyang
Published: April 2021

The verification of security protocol implementations is notoriously difficult and important. In this paper, combining with the model learning using Tamarin, a formal verification tool of protocol specification, a formal verification method for security protocol implementations is proposed. We extract state machine information from protocol implementations by model learning, and determine suspicious paths in the finite-state machines by cross-validation between different implementations of the same protocol; and then verify whether the suspicious paths violate the security properties of the protocol using Tamarin. It can be used to detect logical errors in protocol implementations and avoid relying on expert experience to make compliance rules from protocol documents when using model checking tools. The effectiveness of this method is demonstrated by the vulnerability detection of the typical ChangeCipherSpec in the TLS protocol implementation. The method proposed can help developers to develop more robust implementations of security protocols.
Research on solid-state fermentation process in a closed environment with multiple interferences
Authors: Tan HuiDan , Zhang Peng
Published: April 2021

A closed battery detection system consists of a semiconductor alcohol sensor, a temperature sensor, a STM32F103 microcontroller, and a Windows 10 operating system computer. The ZigBee communication and RS485 communication technology are used to detect the temperature and alcohol concentration of the Dianchi Lake online, which solves the problem of manual sampling and damage to the sealing of the Dianchi Lake. Field tests have shown that the acquisition system data meets the manual physical and chemical test data.
Research and design of an intelligent ventilation system
Authors: Shuang Luo , Ming Wei
Published: April 2021

A kind of intelligent ventilation system is studied in this paper, which includes host system and slave system. The design scheme and schematic diagram of the hardware circuit are given. A variety of sensors are integrated, which can measure temperature, humidity, formaldehyde, PM2.5 dust, smoke and other parameters. According to the measured data, the host sends out control commands such as “open window” ” purify air” and “draught fan speed”, and realizes intelligent ventilation. The system has dust prevention, damp proofing and other work mode. The power drive circuit designed by SCR designs to realize no spark control. Host monitors multiple slave stations using ZigBee wireless networks, through the WIFI broadband access network and realize the application of “Internet +”. Therefore, users can view and monitor the home environment status through the mobile phone APP software. The system can be used in the newly decorated houses without ventilation, and can also be used in various mines, subway stations, working room of chemical plant and other workplaces
Research on Optimal Strategy of Peak-shaving of Photovoltaic Grid-connected System Based on Simulated Annealing-Q Learning Algorithm
Authors: Jun Xu , Jinhui Chen , Zhe Zhang
Published: April 2021

In order to alleviate the problem of large-scale grid-connected photovoltaics and increase the pressure of grid peak regulation, this paper proposes a dynamic economic dispatch method considering the system peak regulation margin. The system peak shaving margin is proposed to deal with the flexibility problem in economic dispatch and improve the enthusiasm of thermal power unit peak shaving. The economic dispatch model is transformed into a dynamic programming model and solved by the simulated annealing-Q learning algorithm. The analysis of the results shows that the proposed dynamic programming strategy can effectively improve the operating economy of the system and increase the flexibility of peak shaving of thermal power units.
Application of XGBoost in P2P Default Prediction
Authors: Li Zhiqiang , Li Shouyan , Li Zhilong , Hu Yixiang , Gao Hanlin
Published: April 2021

P2P network lending is a “ peer-to-peer ” loan through a third-party Internet platform built by P2P companies. The application of machine learning algorithms to the field of P2P loan default prediction will improve the operating capabilities of the platform, and also effectively regulate the lending market. In this paper, we use Lending Club’s loan data and feature engineering technology to apply the XGBoost algorithm to construct a P2P loan default prediction model, and we choose five performances: accuracy, AUC value, error rate, model robustness, and model run time to compare it with Logistic Regression and Decision Trees. The result shows that the prediction accuracy rate of the XGBoost algorithm is 97.705%, which fits the actual results better, and can effectively control the loss cost caused by model errors. In addition, we also select 10 features that have the greatest impact on loan default rates based on the XGBoost algorithm, and provide a reference for P2P lending platforms.
Research on Product Design Technology of Computer Aided Innovation
Authors: Xue Xiaoguang
Published: April 2021

This article mainly briefly introduces the related content of computer-aided innovation technology. This article discusses the effective application of computer-aided innovation product design technology by analyzing the necessity of knowledge utilization in the process of product innovation design. This article takes full advantage of computer technology, constantly innovates product design, develops products that meet people’s actual needs based on market demand, and optimizes product design. This can guarantee the quality of product design and enhance the company’s market competitiveness. The effective use of key knowledge can not only solve the technical difficulties in product design innovation, but also improve the technical level of computer-aided innovation product design.
Research on mass monitoring data Retrieval Technology based on HBase
Authors: Xu Haojie
Published: April 2021

With the arrival of the era of big data, the data generated by the monitoring system grows rapidly, the storage and quick retrieval of massive monitoring data pose a challenge to the database. HBase is an open-source version of Bigtable, built on top of HDFS, based design and query on rowkey is quick, but with the development of database application, when retrieving non-rowkey fields, HBase can only query by scanning the full table, which obviously cannot meet the actual requirements, and the query of the monitoring data is mostly based on the most recent data, so for this problem, this article presents a secondary indexing approach based on coprocessor and Redis. This method realizes the rapid creation and automatic update of secondary indexes in HBase and Redis through the coprocessor. It gets the corresponding rowkey quickly during retrieval, and query the corresponding data in the data table according to the rowkey. The former stores the index of the data table, while the latter stores the index of the latest data in the data table, to improve the real-time performance of data retrieval.
Self-selection Protocol Algorithm for Wireless Networks based on DDQN
Authors: Wang Chongyang , Yan Hairong , Li Fan
Published: April 2021

Given the current complex heterogeneous network environment, choosing different networks in different user scenarios limits the effectiveness of network access. To solve this problem, an algorithm based on DDQN is proposed to optimize the network configuration. The reward value is determined by service type, throughput, delay, and signal strength. DDQN can avoid the ping-pong effect that can be generated by network selection and stabilize the network environment by splitting action selection and action evaluation to prevent overestimation. The experimental results show that the algorithm can autonomously select and assign network protocols and can more accurately find network access methods suitable for user scenarios than the current network switching method represented by a single network parameter based on RSSI and CCA.
Research on Optimal Path Selection Based on WebGIS
Authors: Tan Yafang
Published: April 2021

With the continuous development of geographic information system technology, the ability to analyze and process various spatial information has been greatly enriched and strengthened. The optimal path analysis is the current research hotspot in spatial analysis. In this paper, Changsha City in Hunan Province was taken as an example to build an optimal path selection platform based on WebGIS. With the help of ArcGIS network analysis tool, network analysis data set was established for vector road data, and road length was selected as impedance factor to realize optimal path search.