bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploration of sub-bandgap states in 2D halide perovskite single-crystal photodetector
Authors: Choi Eunyoung , Zhang Yurou , Soufiani Arman Mahboubi , Lee Minwoo , Webster Richard F. , Pollard Michael E. , Reece Peter J. , Lee Wonjong , Seidel Jan , Lim Jongchul , Yun Jung-Ho , Yun Jae Sung
Published: June 2022

Greater stability of low-dimensional halide perovskites as opposed to their three-dimensional counterparts, alongside their high extinction coefficient and thus excellent emission properties, have made them popular candidates for optoelectronic applications. Topological edges are found in two-dimensional perovskites that show distinct electronic properties. In this work, using Kelvin Probe Force Microscopy, performed on butylammonium lead bromide (BA2PbBr4) single crystals with optical bandgap of ~413 nm, we elucidate the electronic response of the edges and their potential impact on photodetector devices. We show that the charge-carriers are accumulated at the edges, increasing with the edge height. Wavelength-dependent surface photovoltage (SPV) measurements reveal that multiple sub-bandgap states exist in BA2PbBr4. As the edge height increases, the SPV amplitude at the edges reduces slightly more as compared to the adjacent regions, known as terraces, indicating relatively less reduction in band-bending at the surface due possibly to increased de-population of electrons from sub-bandgap states in the upper bandgap half. The existence of sub-bandgap states is further confirmed by the observation of below-bandgap emission (absorption) peaks characterised by spectral photoluminescence and photothermal deflection spectroscopy measurements. Finally, we fabricated a photodetector using a millimetre size BA2PbBr4 single crystal. Noticeable broadband photodetection response was observed in the sub-bandgap regions under green and red illumination, which is attributed to the existence of sub-bandgap states. Our observations suggest edge-height dependence of charge-carrier behaviour in BA2PbBr4 single crystals, a potential pathway that can be exploited for efficient broadband photodetector fabrication.
Most mitochondrial dGTP is tightly bound to respiratory complex I through the NDUFA10 subunit
Authors: Molina-Granada David , González-Vioque Emiliano , Dibley Marris G. , Cabrera-Pérez Raquel , Vallbona-Garcia Antoni , Torres-Torronteras Javier , Sazanov Leonid A. , Ryan Michael T. , Cámara Yolanda , Martí Ramon
Published: June 2022

Imbalanced mitochondrial dNTP pools are known players in the pathogenesis of multiple human diseases. Here we show that, even under physiological conditions, dGTP is largely overrepresented among other dNTPs in mitochondria of mouse tissues and human cultured cells. In addition, a vast majority of mitochondrial dGTP is tightly bound to NDUFA10, an accessory subunit of complex I of the mitochondrial respiratory chain. NDUFA10 shares a deoxyribonucleoside kinase (dNK) domain with deoxyribonucleoside kinases in the nucleotide salvage pathway, though no specific function beyond stabilizing the complex I holoenzyme has been described for this subunit. We mutated the dNK domain of NDUFA10 in human HEK-293T cells while preserving complex I assembly and activity. The NDUFA10E160A/R161Ashows reduced dGTP binding capacity in vitro and leads to a 50% reduction in mitochondrial dGTP content, proving that most dGTP is directly bound to the dNK domain of NDUFA10. This interaction may represent a hitherto unknown mechanism regulating mitochondrial dNTP availability and linking oxidative metabolism to DNA maintenance.
Gain-switching in CsPbBr3 microwire lasers
Authors: Tian Jiao , Weng Guoen , Liu Yuejun , Chen Shengjie , Cao Fuyi , Zhao Chunhu , Hu Xiaobo , Luo Xianjia , Chu Junhao , Akiyama Hidefumi , Chen Shaoqiang
Published: June 2022

All-inorganic perovskite microwire lasers, which have intrinsic high material gain and short cavity, especially favor the generation of ultrashort optical pulses via gain switching for various potential applications. Particularly, the ultrashort gain-switched pulses may extend perovskite microwires to previously inaccessible areas, such as ultrafast switches, and chipscale microcombs pumping souces in photonic integrated circuits. Here, we show 13.6-ps ultrashort single-mode green pulses from the gain-switched CsPbBr3 microwire lasers under femtosecond optical pumping. The gain-switching dynamics is experimentally investigated by a streak camera system. The excitation fluence dependences of pulse width, delay time and rise time of the output pulses show good agreements with the rate equation simulations with taking gain nonlinearities and carrier recombination ABC model into account. Our results reveal that perovskite microwire lasers have potential for ultrashort pulse generation, while the low transient saturated gain, which may result from the high transient carrier temperature under femtosecond pumping is a significant limitation for further pulse shortening.
Achieving full-color emission in coal-based humic acid derived carbon dots through intradot aggregation
Authors: Song Shanchao , Wang Zhicai , Pan Chunxiu , Li Zhanku , Yan Jingchong , Lei Zhiping , Ren Shibiao , Kang Shigang , Shui Hengfu
Published: June 2022

Coal-based humic acid (CBHA) is an ideal precursor for the preparation of carbon materials due to its high aromaticity and abundance of oxygen-containing functional groups.
Development of gelatin methacrylate (GelMa) hydrogels for versatile intracavitary applications
Authors: Kulkarni Nishant S. , Chauhan Gautam , Goyal Mimansa , Sarvepalli Sruthi , Gupta Vivek
Published: June 2022

Applicability of hydrogels as drug delivery systems is on the rise due to their highly tunable degree of polymeric crosslinking to attain varying rates of payload release.
Layer-by-layer assembly methods and their biomedical applications
Authors: Zhang Zhuying , Zeng Jinfeng , Groll Jürgen , Matsusaki Michiya
Published: June 2022

Various biomedical applications arising due to the development of different LbL assembly methods with unique process properties.
Toxicity of nanoplastics to zooplankton is influenced by temperature, salinity, and natural particulate matter
Authors: Lins Tiago F. , O'Brien Anna M. , Kose Talha , Rochman Chelsea M. , Sinton David
Published: June 2022

Increases in temperature/salinity promote nanoplastics toxicity, while organic matter/natural colloids mitigate toxicity.
Motion-based phenol detection and degradation using 3D hierarchical AA-NiMn-CLDHs@HNTs-Ag nanomotors
Authors: Xing Ningning , Lyu Yangsai , Yang Jie , Zhang Xiaolei , Han Yang , Zhao Weilin , Ng Dickon H. L. , Li Jia
Published: June 2022

A novel and facile strategy was applied for designing and fabricating a nanomotor-assisted dual-functional platform for sensitive detection and rapid degradation of phenol in water.
Cofactor-free ActVA-Orf6 monooxygenase catalysisviaproton-coupled electron transfer: a QM/MM study
Authors: Li Xue , Li Xing , Zhang Qiaoyu , Lv Peng , Jia Yu , Wei Donghui
Published: June 2022

A new route that proceeds through the processes of PCET and the open-shell singlet transition state was divulged in a QM/MM study of the fundamental mechanism of a metal-free and cofactor-free ActVA-Orf6 monooxygenase catalyzed oxygenation reaction.
Antimony doping to enhance luminescence of tin(iv)-based hybrid metal halides
Authors: Liu Kunjie , Hao Shiqiang , Cao Jindong , Lin Jiawei , Fan Liubing , Zhang Xusheng , Guo Zhongnan , Wolverton Christopher , Zhao Jing , Liu Quanlin
Published: June 2022

Exploration of Sn4+-based organic–inorganic metal halides and suggests an efficient lone-pair-containing cation doping route to enhance the luminescent performance.
Fabrication of robust silver plated conductive polyamide fibres based on tannic acid modification
Authors: Ai Xin , Cheng Jin , Hou Xueni , Chen Guoqiang , Xing Tieling
Published: June 2022

A novel method for the preparation of silver plated conductive polyamide fibres (PA/Ag) based on tannic acid modification was reported in this work.
MOF supraparticles for atmosphere water harvesting at low humidity
Authors: Hu Yue , Wang Yuqi , Fang Zhou , Wan Xinyi , Dong Mengyang , Ye Zhizhen , Peng Xinsheng
Published: June 2022

The water uptake capacity of M-8010 supraparticles is enhanced under low humidity, benefiting from the synergistic effect between the preconcentration functions of shell MOF-801 and the high storage capacity of core MIL-101.
Highly sensitive, weatherability strain and temperature sensors based on AgNPs@CNT composite polyvinyl hydrogel
Authors: Yu Xinrui , Qin Wenjing , Li Xinxin , Wang Yanli , Gu Changshun , Chen Junji , Yin Shougen
Published: June 2022

A kind of highly sensitive bifunctional sensing hydrogel composed of dense and small-size AgNP modified carbon nanotubes was studied, and its application in underwater water pressure and temperature detection was demonstrated.
Recent advances in metal-free catalysts for the remediation of antibiotics, antibiotic resistant bacteria (ARB), and antibiotic resistant genes (ARGs)
Authors: Wang Ziqian , Du Chunyu , Ding Dahu , Chen Rongzhi , Yang Shengjiong , Cai Tianming
Published: June 2022

This paper summarizes recent advances in metal-free catalysts for the remediation of antibiotics, antibiotic resistant bacteria (ARB), and antibiotic resistant genes (ARGs).
Surfactant induced bilayer-micelle transition for emergence of functions in anisotropic hydrogel
Authors: Haque Md Anamul , Kurokawa Takayuki , Nakajima Tasuku , Kamita Gen , Fatema Zannatul , Gong Jian Ping
Published: June 2022

The polymer-surfactant-assembled lamellar bilayer structure in the hydrogel matrix is tuned by simple molecular triggering to achieve variable macroscopic functionalities of soft photonic hydrogel.
The importance of water content on the conductivity of biomaterials and bioelectronic devices
Authors: Mostert A. Bernardus
Published: June 2022

Water content derived from the environment is as an important a variable as temperature for affecting the conductivity and for understanding the charge transport mechanisms within conductive biomaterials as well as bioelectronic devices.
High carrier lifetimes in epitaxial germanium–tin/Al(In)As heterostructures with variable tin compositions
Authors: Hudait Mantu K. , Johnston Steven W. , Clavel Michael B. , Bhattacharya Shuvodip , Karthikeyan Sengunthar , Joshi Rutwik
Published: June 2022

Carrier lifetimes vs. Sn compositions of the Ge1−ySny/III–V heterostructures.
Detection of volatile organic compounds, water in organic solvents, and anions using all-in-one type fluorescent emitters, and their data protection applications
Authors: Wu Jianglan , Li Chencheng , Chen Qiaobin , Xu Lihua , Jian Maoyang , Zhao Jiang
Published: June 2022

Two all-in-one type fluorescent emitters for detection of volatile organic compounds, water in organic solvents, and anions, as well as data protection are reported.
Dual-emission luminescence thermometry using LaGaO3:Cr3+, Nd3+ phosphors
Authors: Mullins Abbi L. , Ćirić Aleksandar , Zeković Ivana , Williams J. A. Gareth , Dramićanin Miroslav D. , Evans Ivana Radosavljević
Published: June 2022

Phosphors for luminescence thermometry La1−xGa0.99O3:Cr0.01, Ndx were synthesised by the solid-state method, structurally characterised using powder X-ray diffraction data, and investigated by ambient and variable-temperature optical measurements.
Very massive star winds as sources of the short-lived radioactive isotope 26Al
Authors: Martinet Sébastien , Meynet Georges , Nandal Devesh , Ekström Sylvia , Georgy Cyril , Haemmerlé Lionel , Hirschi Raphael , Yusof Norhasliza , Gounelle Matthieu , Dwarkadas Vikram
Published: June 2022

Context. The 26Al short-lived radioactive nuclide is the source of the observed galactic diffuse γ-ray emission at 1.8 MeV. While different sources of 26Al have been explored, such as asymptotic giant branch stars, massive stellar winds, and supernovae, the contribution of very massive stars has not been studied so far.

Aims. We study the contribution of the stellar wind of very massive stars, here, stars with initial masses between 150 and 300 M⊙, to the enrichment in 26Al of the galactic interstellar medium.

Methods. We studied the production of 26Al by studying rotating and non-rotating very massive stellar models with initial masses between 150 and 300 M⊙ for metallicities Z = 0.006, 0.014, and 0.020. We compared this result to a simple Milky Way model and took the metallicity and the star formation rate gradients into account.

Results. We obtain that very massive stars in the Z = 0.006 − 0.020 metallicity range might be very significant contributors to the 26Al enrichment of the interstellar medium. Typically, the contribution of the winds of massive stars to the total quantity of 26Al in the Galaxy increases by 150% when very massive stars are considered.

Conclusions. Despite their rarity, very massive stars might be important contributors to 26Al and might overall be very important actors for nucleosynthesis in the Galaxy.
Unravelling UBC 274: A morphological, kinematical, and chemical analysis of a disrupting open cluster
Authors: Casamiquela L. , Olivares J. , Tarricq Y. , Ferrone S. , Soubiran C. , Jofré P. , di Matteo P. , Espinoza-Rojas F. , Castro-Ginard A. , de Brito Silva D. , Chanamé J.
Published: June 2022

Context.Open clusters in the process of disruption help to understand the formation and evolution of the Galactic disk. The wealth and homogeneity ofGaiadata have led to the discovery of several open clusters with signs of disruption. Detailed chemical information for these clusters is essential in order to study the timescales and interplay between the star formation process and cluster disruption.

Aims.We perform a morphological, kinematic, and chemical analysis of the disrupting cluster UBC 274 (2.5 Gyr,d = 1778 pc), to study its global properties.

Methods.We use HDBSCAN to obtain a new membership list up to 50 pc from its centre and up to magnitudeG = 19 usingGaiaEDR3 data. We use high-resolution and high signal-to-noise spectra to obtain atmospheric parameters of six giants and sub-giants, and individual abundances of 18 chemical species.

Results.The cluster has a highly eccentric (0.93) component, tilted ∼10 deg with respect to the plane of the Galaxy, which is morphologically compatible with the results of a test-particle simulation of a disrupting cluster. Our abundance analysis shows that the cluster has a sub-solar metallicity of [Fe/H] = −0.08 ± 0.02. Its chemical pattern is compatible with that of Ruprecht 147, of similar age but located closer to the Sun, with the remarkable exception of neutron-capture elements, which present an overabundance of [n/Fe] ∼ 0.1.

Conclusions.The cluster’s elongated morphology is associated with the internal part of its tidal tail, following the expected dynamical process of disruption. We find a significant sign of mass segregation, where the most massive stars appear 1.5 times more concentrated than other stars. The cluster’s overabundance of neutron-capture elements can be related to the metallicity dependence of the neutron-capture yields due to the secondary nature of these elements, predicted by some models. UBC 274 presents a high chemical homogeneity at the level of 0.03 dex in the sampled region of its tidal tails.
Analysis of cooperative non-orthogonal multiple access networks with energy harvesting
Authors: Huang Haiyan , Shi Yujie , Liang Linlin , Zhang Hongsheng
Published: June 2022

In this paper, we investigate the performance of cooperative non-orthogonal access (NOMA) network with energy harvesting, where, source node and relay node serving as energy-constrained nodes harvest energy from the power beacon PBS. Source sends the superposed message towards the nearly-located user and relay via NOMA principle. The relay superposes and forwards the decoded signal and its own signal to the far-located user and the destination according to NOMA protocol. To measure the performance of the system quantitatively, we derive the exact closed form expressions for the outage probabilities of the near user, far user, and destination respectively over Rayleigh fading channels. Simulation results show that the reasonable power distribution coefficient and the increasing of transmission power of the power beacon improve the performance of cooperative NOMA network.
Research and development of public service platform for integrated circuit test
Authors: Jiang Yangming , Chen Hongbo , Han Yangang
Published: June 2022

Integrated circuit (IC) test is a key technical part of IC chain, which works through the entire life cycle of IC design, manufacturing, packaging, and application. Based on the increasing requirements of IC test, this paper analyzes the breakthrough point to promote the development of IC test and puts forward an accurate and feasible programme of public test platform construction so as to achieve long-term sustainable development of IC industry.
Design and implementation of intelligent monitoring system for public transport applications
Authors: Han Jieqiong , Chen Zhaohong , Han Liqiong
Published: June 2022

With the rapid development of automobile technologies and great economic growth, cars have become more and more popular for their convenience. However, the increase in cars has caused serious air pollution and increased the probability of traffic accidents. This paper investigates the design and implementation of intelligent monitoring and early warning system, which can detect the traffic conditions and provide environmental monitoring data. To achieve a comprehensive monitor for both inside and outside the public transport, this system is based on the STC12C5A16S2 micro-controller and loaded with all kinds of sensors, such as alcohol sensors, temperature and humidity sensors, toxic gas sensors, photosensitive sensors and light sensors etc. If the system detects any abnormal situation, it will generate early warning signs in time to inform the driver and the traffic regulatory departments. Consequently, our intelligent monitoring system can protect the safety of passengers and reduce the incidence of traffic accidents.
Design of intelligent wireless monitoring platform
Authors: Hao Baoming , Zhang Yu
Published: June 2022

Taking STC89C52 single chip microcomputer as the controller, the communication carrier adopts low-power Bluetooth 4.0, LCD12864 display screen as the human-computer interaction interface, open-loop stepping motor and closed-loop steering gear as the action actuator, reflective infrared sensor and reflective photoelectric sensor as the detection sensing system, integrating electronics, machinery This set of intelligent wireless monitoring platform developed by *software and other aspects realizes three functions: wireless remote control monitoring, automatic panoramic detection and automatic intrusion alarm. The design has strong practicability. The whole system has the characteristics of low cost and low power consumption. It can play an important role in the field of security.
Filter bank riemannian-based kernel support vector machine for motor imagery decoding
Authors: Zhang Yueqi , Chen Jiaming
Published: June 2022

Brain computer interface (BCI) enables the communication between the brain and external machines through Electroencephalography (EEG) signals, which has attracted lots of attention. Motor Imagery-based BCI (MI-BCI) is one of the most important paradigms in the BCI field. In MI-BCI, machine learning algorithms can be employed for identifying the target limb of motor intention effectively. As a typical machine learning algorithm for motor imagery decoding, the Riemannian-based kernel support vector machine (RK-SVM) algorithm is not capable of feature extraction from multiple frequency bands, which limits its performance. To solve this problem, the Filter Bank Riemannian-based Kernel Support Vector Machine (FBRK-SVM) method that combines the filter bank structure and Riemannian-based kernel was proposed. In comparative experiments on two commonly used public datasets, it is found that the proposed algorithm can yield higher decoding performance, which provides a new option for the classification of motor imagery.
An autonomous obstacle avoidance method based on artificial potential field and improved A* algorithm for UAV
Authors: Xing Shunxiang , Chen Xin , He Wentao , Cai Tianxing
Published: June 2022

The main purpose of autonomous obstacle avoidance path planning of unmanned aerial vehicles (UAVs) is to find a collision-free flight path from the starting point to the target point in the threatened airspace. This paper mainly studies and designs an autonomous obstacle avoidance algorithm for UAVs. Firstly, the research status of obstacle avoidance is reviewed. Secondly, the problem scene is set up, and the basic algorithm used is described. Furthermore, a modified algorithm is designed to solve the problems mentioned above. Finally, the effectiveness of the method is simulated and verified.
A correction method for radar detection range evaluation in interference environment
Authors: Li Youmei , Zhao Wei
Published: June 2022

Effective evaluation of radar detection range in jamming environment is crucial to the grasp of battlefield situation. The equation widely used in engineering ignores the influence of system noise, and this is easily to cause the distortion of radar range evaluation in weak electromagnetic environment and may even lead to a situation that the detection distance in jamming environment is greater than that without interference. To solve the problem, this paper performed a detailed derivation of the radar detection range evaluation in different situations, before and after taking anti-jamming measures in main-lobe and side-lobe jamming environment. Correction method to the traditional calculation is proposed, closed-form expressions are given correspondingly as well. Simulation shows that the correction method has considerable universality and can effectively avoid the distortion of radar range evaluation in weak jamming environment, which is of great significance to the analysis and evaluation of radar detection range under different jamming environment.
Real time handwritten digital image recognition system based on edge computing equipment
Authors: Zhang Lei , Duan Lili , Suo Jiasun
Published: June 2022

With the development of edge computing technology, real-time handwritten numeral recognition system deployed in edge computing devices has a bright future. However, the edge computing equipment has weak computing power and limited storage space, so the mainstream image recognition neural network can not guarantee the real-time performance on low-performance edge devices. To solve this problem, this paper designs a handwritten digit recognition system which is suitable for low performance edge computing devices. The system extracts the effective information such as the position of the number in the input image through the image preprocessing module, and infers through a lightweight neural network specially designed for edge devices. In this paper, the proposed handwritten numeral image recognition system is deployed on the edge computing device Jetson Nano. The experimental data show that the inference speed of our model is 10 times faster than that of the original Tensorflow inference, and 60 times higher than the neural network Mobilenet specially designed for mobile devices. At the same time, with the increase of input video resolution, the FPS of the system does not decline significantly, which can meet the needs of most edge tasks. Finally, the system also provides design and deployment experience for other edge AI tasks.
Target intention discrimination method of event evolutionary knowledge enhancement
Authors: Hu Ruijuan , Liu Haiyan , Ge lei
Published: June 2022

With the multi-source intelligence data grow exponentially, traditional methods can barely satisfy the requirement, which means to organize and understand the tremendous military knowledge. So, this research project aims to develop unified, highly connected military knowledge graph to integrate information. Using front-end interaction technology, supporting learning function based on inference, error-correcting and marking, this graph can continuously modify the logic model and improve the intelligence of itself, so the knowledge will be solid in our department. It can reduce dependence on the experience of special experts, and moreover, provide platform for developing data-driven general battle system.
Research on robot scene recognition based on improved feature point matching algorithm
Authors: Cui Yuxia , Sun Zhipeng , Wang Xianlun
Published: June 2022

A new feature description method based on the fusion of fast retina keypoint (FREAK) and the rotation-aware binary robust independent elementary features (rRBRIEF) is proposed to realize the effective combination of efficiency and accuracy of the two feature descriptions. In addition, in the elimination stage of mismatched point pairs, by setting the base point and its neighborhood, an improved neighborhood parallel random sample consensus (RANSAC) algorithm is proposed to achieve efficient parallel operation of the algorithm in multiple local neighborhoods. The improved feature point matching algorithm and the existing algorithm were tested in different scales, different rotations, different illuminations, and different fuzzy data sets. The experimental results show that the improved algorithm improves the average scene recognition accuracy by 18.21%, improves the efficiency by 15.58%, and shows good robustness.
Improved reinforcement learning algorithm for mobile robot path planning
Authors: Luo Teng
Published: June 2022

In order to solve the problem that traditional Q-learning algorithm has a large number of invalid iterations in the early convergence stage of robot path planning, an improved reinforcement learning algorithm is proposed. Firstly, the gravitational potential field in the improved artificial potential field algorithm is introduced when the Q table is initialized to accelerate the convergence. Secondly, the Tent Chaotic Mapping algorithm is added to the initial state determination process of the algorithm, which allows the algorithm to explore the environment more fully. In addition, an ε-greed strategy with the number of iterations changing the ε value becomes the action selection strategy of the algorithm, which improves the performance of the algorithm. Finally, the grid map simulation results based on MATLAB show that the improved Q-learning algorithm has greatly reduced the path planning time and the number of non-convergence iterations compared with the traditional algorithm.
Integrated speech signal processor based on spectrum analysis and LMS algorithm
Authors: Shao Fei
Published: June 2022

Spectrum analysis is often used for sound signal analysis. LMS algorithm is an improved algorithm of steepest descent algorithm, which is an optimized extension of wiener filter theory and is often used in audio noise reduction. In this paper, we display the time-frequency domain image of audio, use spectrum analysis for audio gender recognition, and use LMS algorithm for noise reduction. Experimental results show that the method adopted in this paper has high accuracy for sound discrimination, and can significantly eliminate the environmental noise, which can not only be heard but seen in the frequency domain figure. After our audio enhancement, the speaker’s voice can be very clear.
Structure optimization of mixer ploughshare through orthogonal experiment based on DEM simulation
Authors: Zhu Yaohua , Li Yan , Chen Xinbo
Published: June 2022

In order to improve the mixing uniformity of plastic particles mixed by ploughshare mixer, the author extracted three structural parameters of the mixing structure and established nine models of orthogonal experiment. Use Discrete element method to simulate the mixing process of polypropylene and polyethylene particles, and take the coefficient of variation as the evaluation index of mixing uniformity. The experimental results showed that the optimal parameter combination is that the intersection angle of side blades is 40°, the circumferential distribution angle is 180°, and the axial distribution spacing is 164mm, when strength and abrasion resistance were verified as acceptable. The research method can provide certain reference for powder &particle material mixing analysis and equipment improvement.
Medical image fusion quality evaluation method combined multi-angle and multi-scale information
Authors: Jia Manyu , Yang Feng
Published: June 2022

At present, the existing evaluation indicators of image fusion algorithms do not in conformity with the standards of human vision system and are not suitable for medical image application scenarios. Therefore, this paper proposes a medical image fusion quality evaluation method combining multi-angle and multi-scale information. We use Gabor Filter to decompose the image and obtain multi-angle texture information, and design a new index, called Multiscale Structural Similarity with Image Resolution (SSIM-IR), to comprehensively evaluate the fused image from edge, structure and sharpness. The experimental results show that this method is more suitable for medical image application scenarios, consistent with subjective evaluation, and can be used for measuring the advantages and disadvantages of medical image fusion algorithm.
Simulation and optimization of university canteen service under the situation of epidemic prevention and control based on queuing theory
Authors: Jiao Shufeng , Wang Xiaobei , Song Dixin , Du Shaojie
Published: June 2022

In this paper, according to the randomness of students ’ arrival in the canteen and the randomness of dining time, a queuing model of canteen service is established. The students ’ arrival rate and service time are randomly simulated, and the students ’ multi-queue dining service is dynamically simulated. So got the queuing time, busy rate of dining windows and other factors. Considering the waiting cost of students and the operating cost of canteen, and effectively combining the epidemic prevention, the optimal number of canteen windows is obtained. It puts forward the optimization scheme for students to eat, and provides feasible suggestions for canteen managers and schools.
Literature-based discovery: a classical approach of information science
Authors: Wang Lin , Lin Wei , Zhao Miaomiao
Published: June 2022

The implicit links between documents are often of great significance to scientific discovery. This paper briefly reviews the background, basic ideas, and the related research tool Arrowsmith system of the literature-based discovery method founded by Professor Don. R. Swanson of the University of Chicago. It represents a classical research approach in information science. It is believed that this method has opened up a broader research field for information retrieval and knowledge discovery, provided new research ideas for medical informatics, and injected new vitality into information science.
Research on NC error compensation strategy with PRS-XY hybrid machine tool based on virtual and actual axis
Authors: Li Lina , Sun Hongchang , Zhou Hongbin
Published: June 2022

In order to overcome the influence of the particularity of the hybrid machine tool on the error compensation, this paper presents an error compensation strategy based on the NC error compensation model. The X-Y table and the spindle deflection accuracy of the machine are tested by the ballbar in this paper. Based on the real -virtual axis compensation structure,the detection and compensation is implemented.The accuracy data before and after compensation are analyzed and compared. It is confirmed that the error compensation strategy of the hybrid machine tool has a significant effect on the improvement of the motion precision of the hybrid machine tool.
Coordinated control method of low voltage distributed photovoltaic participating in market-oriented transaction
Authors: Lin Zhifa , Chen Ping , Wang Hanqiu , Pan Mingyu , Chai Zhichao , Li Xianglong , Zhao Zhiming
Published: June 2022

In the promotion of photovoltaic in the whole county, it is more and more important for distributed photovoltaic to participate in market-oriented transactions. Market based trading can realize the return on investment of users, promote the proportion of renewable energy, strengthen the willingness of time-shifting load to participate in source load interaction, and finally help to achieve the goal of carbon neutralization. In order to improve the local consumption capacity at the end of the power grid through market-oriented trading, this paper proposes a coordinated control method of local consumption based on multi-party cooperative game trading. The price is determined through the Stackelberg game between distributed photovoltaic investors, power grid and users, which is optimized by the improved particle swarm optimization method. The user value-added services are considered, the method of determining the revenue of value-added services by introducing load transfer coefficient, output increase proportion and power saving benefit coefficient is realized. Finally, an example is given to verify the effectiveness of the method.
Study on the influence of thermal characteristics of transmission components on overload control of grid-connected lines of wind farms
Authors: Sheng Zhiyu , Wang Shihao , Yin Yimin , Wang Jingran , Wang Mengxia
Published: June 2022

The rapid growth of the installed capacity of wind power is not coordinated with the planning and development of the power grid, which may lead to transmission line overload when N-1 failure occurs in gridconnection lines of large-scale wind power. However, the existing overload protection and stability control strategies cannot adapt to this short-term power flow overload, so a large number of wind turbines need to be removed, which is brought the accommodation problem of large scale cluster wind power. The grid-connection line of wind farms has significant non-synchronization (thermal inertia) between current-carrying and temperature changes, and the short-term current-carrying potential needs to be tapped. This paper summarizes the thermal balance models of two kinds of transmission components and explores the influence of thermal characteristics of transmission components on the overload control of gridconnected lines of wind farms. The simulation results show that considering the thermal inertia of transmission components in overload control can significantly reduce the cut of wind power, fully tap the overload capacity of grid-connection lines.
A novel SC-PI with ANFIS compensation for wind turbine pitch control
Authors: He Shenghua , Huang Hong , Fan Bishuang , Huai Xiaowei
Published: June 2022

As a common control method for blades, variable pitch technology is used to regulate the output power of the turbine in region 3. To cope with the random variation of wind speed, a novel pitch angle controller is designed in this paper. The proposed method applies a selfcoupled PI (SC-PI) to obtain the desired speed tracking performance, and employs an adaptive neuro-fuzzy inference system (ANFIS) to compensate the controller for disturbance damping capability. A contrast experiment with a baseline PI is conducted in Matlab/Simulink. The performance superiority of the proposed hybrid control method is thus confirmed.
Multi-agent technology based voltage grading control method for distribution network
Authors: Liu Guangmao , Chen Jiangtao , Li Runrun , Jin Jialin , Cheng Yuying
Published: June 2022

It is one of the challenges to solve the power quality problems such as voltage fluctuation and voltage exceeding limit caused by the largescale grid connection of distributed photovoltaic (DPV). Considering the operation speed of voltage regulation control in distribution network, this paper proposes a voltage hierarchical control method based on multi-agent structure. The mathematical models of this method are divided into dualtime scale global optimization model and event-triggered voltage regional autonomy model, aiming at solving the problem of operation safety of voltage exceeding limit. The method is verified by a specific example. The results show that this method can respond quickly to the change of power grid voltage, and help to reduce the risk of voltage exceeding the limit, and improve the operation economy of distribution network.
Energy-saving optimization of refrigeration system in a data centre based on Nelder-Mead method
Authors: Mei Guanghang , Hu Bin , Liu Zhenjie , Zhu Zhikun , Huang Wenjun
Published: June 2022

In order to improve the cooling efficiency of the data centre HVAC (Heating Ventilation and Air Conditioning) system and save costs, this paper proposes a control strategy that combines traditional control method with Nelder and Mead method, in order to optimize equipment operating parameters. Firstly, this paper selected a data centre in Northeast China as the research object. Moreover, the central air-conditioning system, as the control object, was simulated on TRNSYS, whose result was compared with the actual operating parameters to verify the reliability of the simulation model. Finally, the optimal control strategy was applied to the simulation model to analyze the changes of energy consumption of the system before and after optimization. The results showed that in August, the optimal control strategy is able to meet the extremity of cooling load demand, and the total energy consumption of the system is 269,612kwh, which is 10% less than the energy consumption before optimization. The overall energy consumption of the system is significantly reduced, and the proportion of energy consumption of each part tends to be reasonable, which will effectively improve the cooling efficiency of HVAC.
Thermal rating probability prediction considering the temporal correlation among the thermal ratings
Authors: Wang Shihao , Yin Yimin , Wang Jingran , Wang Mengxia
Published: June 2022

The thermal rating of the overhead transmission line is an important parameter for the operation and control of the power system. In order to further integrate it into the system dispatch decisions, it is necessary to conduct the prediction for the thermal ratings in the lookahead time horizon of dispatch decisions. At present, the researches on the thermal rating prediction focus on the independent prediction for the thermal rating in each prediction period, without considering the temporal correlation among the thermal ratings. In this paper, a joint probability prediction method for multiperiod thermal ratings considering the temporal correlation among the thermal ratings is proposed. Specifically, based on the temporal correlation among the thermal ratings and the independent probability prediction of thermal rating in each period, the multivariate normal probability density function of multiperiod thermal ratings is generated. The prediction simulation shows that considering the temporal correlation among the thermal ratings in the thermal rating prediction process can improve the prediction results and make full use of the currentcarrying capability of overhead lines, which will promote the accommodation of renewable energy and energy saving and emission reduction.
Numerical simulation of the gas heat conduction of aeroge materials
Authors: Li Yucong , Li Shuai , Xia Lindong , Liu Binbin , Jin Weifeng , Zhu Yining
Published: June 2022

In order to obtain the gas heat conduction of aerogel materials, this paper applied lattice boltzmann method (LBM) to establish a microcosmic model D3Q15. Lattice Boltzmann method (LBM) was used to simulate the temperature distribution and had the advantage of simplifying calculation at the nano scale. Gas heat conduction would be effected by the size and boundary condition under nano-scale conditions. In this paper it can be concluded that the temperature jump under mirror rebound and diffuse reflection boundary was obvious as the value of t increasing from 8*10−12 to 4*10−9 and the mirror rebound boundary scattering increased drastically than diffuse reflection. the temperature jump would stay stable when the time arrived 4*10−9. As to diffuse reflection boundary, the effective thermal conductivity tended to decrease dramaticlly as rb growing up.
Synthesis and fungicidal activity of alkyltrimethylammonium salicylate ionic liquids
Authors: Zhao Jingyu , Gao Haixiang
Published: June 2022

Three alkyltrimethylammonium salicylates (CnTASal) with different alkyl side chains were synthesized and characterized. Solubility, surface activity, and biological activity of the ionic liquids were determined. The results of solubility and surface activity showed that the synthesized ILs are amphiphilic surface-active compounds. Five common agricultural fungi, Valsa mali, Rhizoctonia solani, Fusarium graminearum, Phytophthora capsica and Alternaria solani were tested to identify the most sensitive strain and Valsa mali was selected for the structure-activity relationship (SAR) study. The results of the study revealed that the antifungal activity of the ILs is positively related to the alkyl chains length.
Application of modified rice straw/PP woodplastic composite material in landscape
Authors: Sun Qinghui , Bai Boyang
Published: June 2022

Using rice straw powder as filler and polypropylene (pp) film as matrix,The rice straw/pp wood-plastic composites without and with the addition of antioxidant vitamin E were prepared by kneading and hot pressing.Study on the aging properties of rice straw/pp wood-plastic composites with and without the addition of antioxidant vitamin E using ultraviolet accelerated aging method,The effects of different content of vitamin E on the anti-aging properties of rice straw/pp wood-plastic composites were analyzed.Finally, the application of modified rice straw/pp wood-plastic composite materials is researched and summarized to help create a modern landscape of ecological and environmental protection.
A heat balance model of zinc pot and its application
Authors: Li Chaoxiang , Zhao Xin , Sun Junbo , Lu Linlin
Published: June 2022

In this paper, the problem of stripe temperature at the entrance of the zinc pot is addressed in a novel way. Based on in-depth analysis of thermal features of hot-dip galvanization, a generalized heat-balance mode has been established that has wider adaptivity within the production lines. The relationship between the pot load, the galvanization load and the productivity has been re-characterized by introducing a new concept of line-area ratio. Subsequently, the stripe temperature can be estimated based on the model. The effectiveness of the proposed model has been verified by real-time application to the production lines with temperature estimation error within ± 3 °C. As such, effective temperature compensation can be implemented that significantly improves the galvanization quality.
Resuscitation of Term Compromised and Asphyctic Newborns: Better with Intact Umbilical Cord?
Authors: Ott Friederike , Kribs Angela , Stelzl Patrick , Kyvernitakis Ioannis , Ehlen Michael , Schmidtke Susanne , Rawnaq-Möllers Tamina , Rath Werner , Berger Richard , Maul Holger
Published: June 2022

The authors hypothesize that particularly severely compromised and asphyctic term infants in need of resuscitation may benefit from delayed umbilical cord clamping (after several minutes).
Although evidence is sparse, the underlying pathophysiological mechanisms support this assumption. For this review the authors have analyzed the available research. Based on these data they
conclude that it may be unfavorable to immediately clamp the cord of asphyctic newborns (e.g., after shoulder dystocia) although recommended in current guidelines to provide quick
neonatological support. Compression of the umbilical cord or thorax obstructs venous flow to the fetus more than arterial flow to the placenta. The fetus is consequently cut off from a
supply of oxygenated, venous blood. This may cause not only hypoxemia and consecutive hypoxia during delivery but possibly also hypovolemia. Immediate cord clamping may aggravate the
situation of the already compromised newborn, particularly if the cord is cut before the lungs are ventilated. By contrast, delayed cord clamping leads to fetoplacental transfusion of
oxygenated venous blood, which may buffer an existing acidosis. Furthermore, it may enhance blood volume by up to 20%, leading to higher levels of various blood components, such as red and
white blood cells, thrombocytes, mesenchymal stem cells, immunoglobulins, and iron. In addition, the resulting increase in pulmonary perfusion may compensate for an existing hypoxemia or
hypoxia. Early cord clamping before lung perfusion reduces the preload of the left ventricle and hinders the establishment of sufficient circulation. Animal models and clinical trials
support this opinion. The authors raise the question whether it would be better to resuscitate compromised newborns with intact umbilical cords. Obstetric and neonatal teams need to work
even closer together to improve neonatal outcomes.
Interdisziplinäres Teamtraining
Authors: Klotzsch Anne-Katrin
Published: June 2022

Simulationsbasiertes Üben für kritische Notfälle in der
Geburtshilfe

Notfälle in der Geburtshilfe führen bei den
betroffenen Eltern und dem Neugeborenen meist zu einer starken physischen und
psychischen Belastung. Neben der Beachtung von Leitlinien und effektiven
Handlungsalgorithmen eignet sich vor allem das Simulationstraining, um die
Notfälle primär zu vermeiden und/oder einen unvorhersehbaren
Notfall optimal zu versorgen.
Ist das kurze Zungenband eine neue Mode?
Authors: Moghtader Darius
Published: June 2022

Ist frei bewegliche Zunge wirklich eine wichtige Grundlage für
schmerzfreies und effektives Stillen, Schlucken, Kauen, Essen, Sprechen und
Atmen oder nur eine neue vorübergehende Mode? Diese Frage beantwortet
Dr. med. dent. Darius Moghtader in seinem Vortrag auf dem Forum Hebammenarbeit
am 18. November 2022 in Mainz.
Praktische Prüfungen unter
Simulationsbedingungen
Authors: Schimböck Florian , Rosenlöcher Franziska
Published: June 2022

Die Simulation von Praxis- und Notfallsituationen ist ein wichtiges Instrument in
der Hebammenausbildung. Sie bietet jedoch nicht nur die Möglichkeit, zu
lernen, sondern auch das Gelernte zu überprüfen. Der rechtliche
Rahmen hierfür ist gesteckt – so gelingen Prüfungen
unter Simulationsbedingungen in der Praxis.
Der Genius von NRF2
Authors: Barring Robert , Gröber Uwe
Published: June 2022

Nuclear factor erythroid-2-related factor 2 (NRF2) ist ein Transkriptionsfaktor,
der über 500 Gene im humanen Genom reguliert. Durch Aktivierung von
Antioxidant-Response-Element-Genen im Zellkern werden Zellschutz- und
Entgiftungseffekte ausgelöst. NRF2 schützt u. a. vor
oxidativem/nitrosativem Stress, Silent Inflammation und
Mitochondriopathie. Positive Effekte sind z. B. bei Herz-, Autoimmun-
und neurodegenerativen Erkrankungen, aber auch bei Sepsis und chronischer
Virusaktivierung zu beobachten. NRF2-aktivierende Substanzen wie Karotinoide,
langkettige ω-3-Fettsäuren und sekundäre Pflanzenstoffe
finden sich in mediterraner und Okinawa-Ernährung. Der Einsatz von
Konzentraten in Kapselform führte bei Patient*innen zur
Besserung der klinischen Symptomatik und von Laborwerten.