bluuebunny/crossref_metadata_2025 huggingface dataset:
Positive Effects of Probiotics on Motor Coordination and Brain during Moderate and High-Intensity Exercise in Adolescent Female Mice
Authors: Park Ki Jun , Kim Junechul
Published: June 2021

Objectives This study aimed to investigate the effects of probiotics on inflammatory cytokines, neurotransmitters, and motor functions during different levels of exercise.

Methods Female adolescent mice (n=140) were divided into two groups, of which one group was fed probiotics and the other group was not. For both groups, three levels of exercise were conducted: non-exercise, moderate-intensity exercise, and high-intensity exercise. Probiotics acquisition and aerobic treadmill exercise were the main variables during the growth period. We evaluated motor function with a rotarod test and analyzed cytokines and neurotransmitters in the cerebellum.

Results In acceleration mode, the moderate and high-intensity exercise groups showed longer running times than the non-exercise groups (P<0.001). Also, the probiotic-ingestion group had longer latency before falling than those who did not take probiotics in both the high-intensity and the non-exercise groups (P=0.002, P=0.002, respectively). In steady-state mode, the non-exercise group showed lower records compared with the moderate and high-intensity exercise groups (P=0.017, P=0.004, respectively). The inflammatory cytokine levels were high in the groups that performed moderate and high-intensity exercises, but the high levels were relieved in those taking probiotics. The GABA concentration was high for the exercise group and the probiotic-ingestion group.

Conclusion Taken together, probiotics help improve motor skills during moderate and high-intensity exercise and help relieve inflammatory responses in the brain. Thus, we suggest that probiotics can be a useful supplement for brain and body development during exercise in adolescence.
Pricing practices of football and basketball clubs in Italy
Authors: Hinterhuber Andreas , Viberti Sara
Published: June 2021

Revenue management is widely adopted across industries—except in the sports industry. In the context of the present study, we contact every single football and soccer club belonging to the top league in Italy—one of the world’s most successful football nations—and obtain responses from close to half of all clubs. We find that one-third of all football clubs apply revenue management, far more than basketball clubs. Basketball clubs rely heavily on fixed pricing, whereas soccer clubs use variable pricing or revenue management. Study data also suggest that perceived barriers to revenue management include a fear of alienating customers or perceived high implementation costs; since experiences of revenue management implementation are overwhelmingly positive, this study suggests that the fears of revenue management implementation are overblown. This study advances research on the practical implementation of revenue management in non-traditional industries and provides an encouragement for executives working in other industries to implement revenue management.
Optical properties of silver nanoparticles upon exposure to bacteria
Authors: Kim Meeri
Published: June 2021

Changes in localized surface plasmon resonance due to bacterial interaction have been overlooked but have important applications for pathogen detectors.
A self-powered vibration sensing element based on three-dimensional graphene field effect transistor
Authors: Li Shasha , Li Yuning , Sun Jingye , Su Fang , Yin Weijie , Zhu Mingqiang , Deng Tao
Published: June 2021

Piezoelectricity of two-dimensional layered materials is of great significance for electromechanical coupling applications in nanoelectromechanical systems. The nanoscale devices based on graphene have attracted intense interest due to its excellent electronic and mechanical properties. However, the centrosymmetric crystal structure in intrinsic graphene severely restricts its applications in mechanical sensors, transducers, and energy harvesters. In this paper, a self-powered vibration sensing element based on rolled-up single-layer graphene is proposed and demonstrated, which realizes the conversion from mechanical vibrations into electrical signals. In contrast to previous pioneering works requiring silica cavities or Si/SiO2 calibration grating substrate to support the graphene, a three-dimensional (3D) non-closed tubular structure is adopted to develop the piezoelectricity in single-layer graphene, where the inversion symmetry of single-layer graphene is broken via self-rolled-up process induced strain. Hence, apparent piezoresponse from the 3D non-closed tubular graphene field effect transistor is observed. Moreover, a peak-to-peak amplitude for the piezoelectric current up to 4.2 is achieved, corresponding to the periodicity of mechanical vibration, and the value can increase to 10.8 nA by applying a small source–drain voltage of 6 mV. The device is also sensitive to mechanical vibration with different frequencies and shows similar currents. The electromechanical coupling in rolled-up graphene provides a basis for the applications in sensing, actuating, and energy harvesting.
Formation mechanism of high-frequency combustion oscillations in a model rocket engine combustor
Authors: Shima Satomi , Nakamura Kosuke , Gotoda Hiroshi , Ohmichi Yuya , Matsuyama Shingo
Published: June 2021

We study the formation mechanism of high-frequency combustion oscillations in a model rocket combustor from the viewpoints of symbolic dynamics and complex networks. The flow velocity fluctuations in the fuel injector generated by the pressure fluctuations in the combustor give rise to the periodic ignition of the unburnt fuel/oxidizer mixture, resulting in a significant change in the heat release rate fluctuations in the combustor. The heat release rate fluctuations drive the pressure fluctuations in the combustor before a transition state, while the pressure fluctuations in the combustor gradually begin to significantly affect the heat release rate fluctuations during the transition to combustion oscillations. The directional feedback process during the transition and subsequent combustion oscillations is identified by the directionality index of the symbolic transfer entropy. The thermoacoustic power network enables us to understand the physical mechanism behind the transition and subsequent combustion oscillations.
Rationale behind subpicosecond optical response of transparent conductive oxides in epsilon-near-zero region
Authors: Zhang Fengling , Chen Conglong , Wang Kuidong , Zhang Haijuan , Chen Jie
Published: June 2021

Developing materials with large optical nonlinearity as well as ultrafast optical response is crucial for high-speed integrated photonic devices. Besides large optical nonlinearity at telecommunication wavelengths, some degenerated semiconductors as transparent conductive oxides are found to have subpicosecond optical responses, yet the theoretical elucidation of such unexpected fast temporal dynamics is still lacking. In this study, after resonant intraband excitation, the recovery of transient nonlinear response was revealed to be 20 times faster in indium tin oxide than in gold with ultrafast time-resolved transmission spectroscopy. By simulating the optical response processes using the two-temperature model, we found that the electron–phonon scattering rates of indium tin oxide and aluminum doped zinc oxide are about 2 orders of magnitude as large as that of gold, which is suggested to be the main origin of the diverse optical response speed. This study quantitatively attributes the measured transient optical response to ultrafast quasi-particle interactions and gives new insights into the theoretical description of the ultrafast dynamics in both metals and degenerated semiconductors.
Improving Seebeck coefficient of thermoelectrochemical cells by controlling ligand complexation at metal redox centers
Authors: Gunawan Andrey , Tarakeshwar Pilarisetty , Mujica Vladimiro , Buttry Daniel A. , Phelan Patrick E.
Published: June 2021

Practical conversion of waste heat into electricity via thermoelectrochemical cells requires high Seebeck coefficient (α) to increase cycle efficiency. The complexation of Cu2+ species with dissolved multidentate ligands, such as ethylenediaminetetraacetic acid, and the control of dimerization equilibria with bridging ligands, such as 1,6-diaminohexane or 1,2-diaminoethane, dramatically improve, by up to ∼185%, the magnitude of the α of Cu/Cu2+ thermoelectrochemical cells. This results in the highest α for any Cu/Cu2+ redox system yet reported. The coefficient α is directly proportional to the change in entropy (ΔS). It was experimentally measured and correlated with ΔS obtained from quantum-chemical methods. This offers a deeper insight about a molecule-based interpretation of the macroscopic response. The agreement between the theoretically estimated and experimentally observed α is remarkable. Hence, we believe that this synergistic approach allows us to systematically scan different systems to obtain efficient thermoelectrochemical cells with enhanced Seebeck coefficient.
Orbital optimization in nonorthogonal multiconfigurational self-consistent field applied to the study of conical intersections and avoided crossings
Authors: Mahler Andrew D. , Thompson Lee M.
Published: June 2021

Nonorthogonal approaches to electronic structure methods have recently received renewed attention, with the hope that new forms of nonorthogonal wavefunction Ansätze may circumvent the computational bottleneck of orthogonal-based methods. The basis in which nonorthogonal configuration interaction is performed defines the compactness of the wavefunction description and hence the efficiency of the method. Within a molecular orbital approach, nonorthogonal configuration interaction is defined by a “different orbitals for different configurations” picture, with different methods being defined by their choice of determinant basis functions. However, identification of a suitable determinant basis is complicated, in practice, by (i) exponential scaling of the determinant space from which a suitable basis must be extracted, (ii) possible linear dependencies in the determinant basis, and (iii) inconsistent behavior in the determinant basis, such as disappearing or coalescing solutions, as a result of external perturbations, such as geometry change. An approach that avoids the aforementioned issues is to allow for basis determinant optimization starting from an arbitrarily constructed initial determinant set. In this work, we derive the equations required for performing such an optimization, extending previous work by accounting for changes in the orthogonality level (defined as the dimension of the orbital overlap kernel between two determinants) as a result of orbital perturbations. The performance of the resulting wavefunction for studying avoided crossings and conical intersections where strong correlation plays an important role is examined.
Second harmonic generation by strongly coupled exciton–plasmons: The role of polaritonic states in nonlinear dynamics
Authors: Sukharev Maxim , Salomon Adi , Zyss Joseph
Published: June 2021

We investigate second harmonic generation (SHG) from hexagonal periodic arrays of triangular nano-holes of aluminum using a self-consistent methodology based on the hydrodynamics-Maxwell–Bloch approach. It is shown that angular polarization patterns of the far-field second harmonic response abide to threefold symmetry constraints on tensors. When a molecular layer is added to the system and its parameters are adjusted to achieve the strong coupling regime between a localized plasmon mode and molecular excitons, Rabi splitting is observed from the occurrence of both single- and two-photon transition peaks within the SHG power spectrum. It is argued that the splitting observed for both transitions results from direct two-photon transitions between lower and upper polaritonic states of the strongly coupled system. This interpretation can be accounted by a tailored three-level quantum model, with results in agreement with the unbiased numerical approach. Our results suggest that the hybrid states formed in strongly coupled systems directly contribute to the nonlinear dynamics. This opens new directions in designing THz sources and nonlinear frequency converters.
High voltage nanosecond pulse generator based on diode opening switch and magnetic switch
Authors: Deng Zichen , Ding Zhenjie , Yuan Qi , Ding Weidong , Ren Linyuan , Wang Yanan
Published: June 2021

Low-temperature plasma technology is widely used in various industrial fields, which require the plasma to be of large volume, diffuse, and stable. Furthermore, previous studies have shown that better plasma performance has been obtained by using generators with a high voltage, a high repetition rate, a fast rise time, and a short pulse duration. In this paper, a novel topology is proposed for such generators, which is based on magnetic switches and diode opening switches. A prototype is developed, and its output characteristics are investigated by varying essential parameters, such as the load resistance and the power supply voltage. The experimental results show that it can generate pulses with a voltage of 30.6 kV, a rise time of 7.1 ns, a pulse duration of 8.2 ns, and a maximum repetition rate of 12 kHz on a 300 Ω resistive load. The prototype has been successfully used to drive uniform plasma in ambient air. In the proposed topology, a diode is added to make the magnetic cores independent of each other, significantly simplifying the design calculation. It may help develop nanosecond solid-state generators.
Broadband tunable elastic metastructure based on one-dimensional phononic crystal
Authors: Xuan Chengming , Xu Weikai , Yang Zhe , Qi Wuchao , Wang Wei
Published: June 2021

Considering the manufacturing difficulty and tunability, a one-dimensional phononic crystal-type metastructure is proposed in this paper. By adjusting the distance between the mass oscillators installed on the connecting bar, that is, changing the length of the phononic crystal unit, the phase shift of the flexural wave can span over a full range of 0–2π and then the phenomena such as abnormal refraction, beam focusing, and self-acceleration can be realized based on the generalized Snell’s law. In addition, the method of multiple mass oscillator array design is used to broaden the operating frequency domain by increasing or decreasing the number of mass oscillators. This proposed method provides an innovative concept for realizing broadband tunable metastructures and has potential applications in the fields of vibration control, energy harvesting, and noise isolation.
Nanoindentation-enhanced tip-enhanced Raman spectroscopy
Authors: Wang Chih-Feng , O’Callahan Brian T. , Krayev Andrey , El-Khoury Patrick Z.
Published: June 2021

We combine nanoindentation, herein achieved using atomic force microscopy-based pulsed-force lithography, with tip-enhanced Raman spectroscopy (TERS) and imaging. Our approach entails indentation and multimodal characterization of otherwise flat Au substrates, followed by chemical functionalization and TERS spectral imaging of the indented nanostructures. We find that the resulting structures, which vary in shape and size depending on the tip used to produce them, may sustain nano-confined and significantly enhanced local fields. We take advantage of the latter and illustrate TERS-based ultrasensitive detection/chemical fingerprinting as well as chemical reaction imaging—all using a single platform for nano-lithography, topographic imaging, hyperspectral dark field optical microscopy, and TERS.
Bat roosts in Tasmania’s production forest landscapes: importance of mature forest for maternity roosts
Authors: Cawthen Lisa , Law Bradley , Nicol Stewart C. , Munks Sarah
Published: June 2021

Mature forest is a key resource for hollow-using bats, but its importance in shaping where bats roost during breeding is not well understood. This lack of understanding limits the ability of forest managers to make informed decisions on the type, amount and spatial arrangement of mature forest to retain for bats in areas used for timber production. Using radio-telemetry, day roosts of three sympatric hollow-using bat species – the chocolate wattled bat (Chalinolobus morio), the Tasmanian long-eared bat (Nyctophilus sherrini) and the lesser long-eared bat (Nyctophilus geoffroyi) – were located in two forested landscapes in south-eastern Tasmania, Australia. By radio-tracking 24 bats in the maternity season, 76 roosts were located, with interspecific variation in roosting preferences evident at the roost, patch and landscape scale. Maternal colonies showed a clear selection for roosting in areas of the landscape containing the highest availability of mature forest, with smaller patches, strips and individual trees used to a greater extent for roosting in the landscape where mature forest was scarce. These findings showcase the importance of retaining mature forest at multiple spatial scales for hollow-using bats.
GSAP regulates lipid homeostasis and mitochondrial function associated with Alzheimer’s disease
Authors: Xu Peng , Chang Jerry C. , Zhou Xiaopu , Wang Wei , Bamkole Michael , Wong Eitan , Bettayeb Karima , Jiang Lu-Lin , Huang Timothy , Luo Wenjie , Xu Huaxi , Nairn Angus C. , Flajolet Marc , Ip Nancy Y. , Li Yue-Ming , Greengard Paul
Published: June 2021

Biochemical, pathogenic, and human genetic data confirm that GSAP (γ-secretase activating protein), a selective γ-secretase modulatory protein, plays important roles in Alzheimer’s disease (AD) and Down’s syndrome. However, the molecular mechanism(s) underlying GSAP-dependent pathogenesis remains largely elusive. Here, through unbiased proteomics and single-nuclei RNAseq, we identified that GSAP regulates multiple biological pathways, including protein phosphorylation, trafficking, lipid metabolism, and mitochondrial function. We demonstrated that GSAP physically interacts with the Fe65–APP complex to regulate APP trafficking/partitioning. GSAP is enriched in the mitochondria-associated membrane (MAM) and regulates lipid homeostasis through the amyloidogenic processing of APP. GSAP deletion generates a lipid environment unfavorable for AD pathogenesis, leading to improved mitochondrial function and the rescue of cognitive deficits in an AD mouse model. Finally, we identified a novel GSAP single-nucleotide polymorphism that regulates its brain transcript level and is associated with an increased AD risk. Together, our findings indicate that GSAP impairs mitochondrial function through its MAM localization and that lowering GSAP expression reduces pathological effects associated with AD.
Impact of new operational dosimetric quantities on individual monitoring services
Authors: Caresana M , Garlati L , Zorloni G , Behrens R , Otto T , Minchillo G , Rossi F
Published: June 2021

The new operational dosimetric quantities framework, proposed in the ICRU95 report, has stimulated the scientific community to start investigations that aim to assess its impact on radiation protection practices. As part of this effort, the present study describes an inter-comparison exercise among individual monitoring services (IMSs) on passive whole-body dosimetry. The inter-comparison is performed in terms of both the existing operational dose quantity

H

p

(
10
)

and its proposed replacement

H

p

, to allow an evaluation of the actions that may be necessary to adapt dosimetry systems to the proposed quantity. For two of the tested IMSs, simple modifications to the detector response function, or the dose calculation algorithm, were sufficient to obtain results within acceptable limits. However, these approaches are not sufficient to give a level of performance comparable to that achieved in terms of

H

p

(
10
)

. This may require a modification to dosemeter design.
How often does it happen? A review of unintended, unnecessary and unavoidable high-dose radiation exposures
Authors: Holmberg Ola , Pinak Miroslav
Published: June 2021

High-dose radiation exposures of humans occur every year around the world, and may lead to harmful tissue reactions. This review aims to look at the available information sources that can help answering the question of how often these events occur yearly on a global scale. In the absence of comprehensive databases of global occurrence, publications on radiation accidents in all uses of radiation and on rates of high-dose events in different medical uses of radiation have been reviewed. Most high-dose radiation exposures seem to occur in the medical uses of radiation, reflecting the high number of medical exposures performed. In therapeutic medical uses, radiation doses are purposely often given at levels known to cause deterministic effects, and there is a very narrow range in which the medical practitioner can operate without causing severe unacceptable outcomes. In interventional medical uses, there are scenarios in which the radiation dose given to a patient may reach or exceed a threshold for skin effects, where this radiation dose may be unavoidable, considering all benefits and risks as well as benefits and risks of any alternative procedures. Regardless of if the delivered dose is unintended, unnecessary or unavoidable, there are estimates published of the rates of high-dose events and of radiation-induced tissue injuries occurring in medical uses. If this information is extrapolated to a global scenario, noting the inherent limitations in doing so, it does not seem unreasonable to expect that the global number of radiation-induced injuries every year may be in the order of hundreds, likely mainly arising from medical uses of radiation, and in particular from interventional fluoroscopy procedures and external beam radiotherapy procedures. These procedures are so frequently employed throughout the world that even a very small rate of radiation-induced injuries becomes a substantial number when scaled up to a global level.
Diffusion MRI tractography for neurosurgery: the basics, current state, technical reliability and challenges
Authors: Yang Joseph Yuan-Mou , Yeh Chun-Hung , Poupon Cyril , Calamante Fernando
Published: June 2021

Diffusion magnetic resonance imaging (dMRI) tractography is currently the only imaging technique that allows for non-invasive delineation and visualisation of white matter (WM) tracts in vivo, prompting rapid advances in related fields of brain MRI research in recent years. One of its major clinical applications is for pre-surgical planning and intraoperative image guidance in neurosurgery, where knowledge about the location of WM tracts nearby the surgical target can be helpful to guide surgical resection and optimise post-surgical outcomes. Surgical injuries to these WM tracts can lead to permanent neurological and functional deficits, making the accuracy of tractography reconstructions paramount. The quality of dMRI tractography is influenced by many modifiable factors, ranging from MRI data acquisition through to the post-processing of tractography output, with the potential of error propagation based on decisions made at each and subsequent processing steps. Research over the last 25 years has significantly improved the anatomical accuracy of tractography. An updated review about tractography methodology in the context of neurosurgery is now timely given the thriving research activities in dMRI, to ensure more appropriate applications in the clinical neurosurgical realm. This article aims to review the dMRI physics, and tractography methodologies, highlighting recent advances to provide the key concepts of tractography-informed neurosurgery, with a focus on the general considerations, the current state of practice, technical challenges, potential advances, and future demands to this field.
Thoughts on Online Teaching of Employment Guidance Course for Civil Aviation Majors under the COVID-19 Epidemic--Based on the teaching practice of college students enrolled in 2018 in the Civil Aviation Management Institute of China
Authors: Ma Jing , Sun Liang , Zhang Tao
Published: June 2021

The employment situation in civil aviation has become more severe this year due to the adverse effects of the COVID-19 epidemic. The online teaching of employment guidance courses can promote high-quality employment for graduates, but also poses new challenges for teachers and students. For college students enrolled in 2018 majoring in civil aviation, the teachers in the Civil Aviation Management Institute of China accomplished the employment guidance course, adopting a teaching method combining online teaching with offline guidance, and applying the Deming cycle to continuously improve the course quality. To facilitate better employment of civil aviation graduates under the epidemic, this paper suggests that it is necessary to establish an employment guidance and service system, improve the comprehensive quality of graduates, promote cooperation and mutual assistance between schools and employers, and guide graduates to start their businesses or further study rationally.
Research on the Quality Evaluation for Training of Undergraduate Majoring in Logistics Management and Engineering Based on Improved TOPSIS Method
Authors: Nie Tongtong
Published: June 2021

In view of the Training Quality of Undergraduate Majoring in Logistics Management and Engineering, an improved TOPSIS method based on combinatorial weight is proposed to evaluate the training quality of undergraduate majoring in logistics management and engineering. Firstly, the paper studies and analyses the related literatures of training quality of undergraduate majoring in logistics management and engineering, and puts forward a set of evaluation of training quality indicator system for the undergraduate majoring in logistics management and engineering. Secondly, the objective weight and subjective weight of each indicator are determined by using the variable coefficient method based on mixed data and the improved AHP method based on triangular fuzzy number, and on this basis, the combined weight of each indicator is calculated by using the maximum method of comprehensive evaluation value. After that, the improved TOPSIS method is used to rank the training quality for undergraduate majoring in logistics management and engineering.
The effect of algorithm parameters on the number of iterations of the dual fat boundary method
Authors: Liu Kui , Hu Zhendong
Published: June 2021

The Dual Fat Boundary Method (DFBM) is an improvement of the Fat Boundary Method (FBM), which is proposed to solve elasticity problems defined on a perforated domain. The DFBM does not need an analytical solution in the holes, so it is suitable for any reasonable hole shapes and Dirichlet boundary conditions on the holes. However, as an iteration method, the relationship between iteration times and algorithmic parameters has not been studied. Here we give a numerical study by taking the perforated infinite plate problem as an example. It reveals that the relaxation parameters for two local domains should be equal to obtain the fastest convergence. Furthermore, the number of iterations for DFBM is smaller than FBM in the larger range of relaxation parameters despite of the decreasing range of convergence.
Impact of government subsidies on green supply chain operation under different power structures
Authors: Liu Liu , Zhang Hua
Published: June 2021

Government subsidies play an important role in the operations of a green supply chain. However, the effectiveness of these subsidies under different power structures has rarely been examined. In this paper, we investigate a two-echelon green supply chain with a manufacturer who obtains government subsidies to develop and produce green products and a retailer who sells to consumers. We examine the impact of government subsidies on green product innovation, supply chain profits, and social welfare by focusing on five power structure models: centralized decision (C), manufacturer-Stackelberg (MS), retailer-Stackelberg (RS), vertical Nash (NL), and vertical Nash with bargaining mechanism (NB) models. The results show that government subsidies have a positive impact on the energy-saving level of green products, firms’ financial performance, and supply chain profits. We also find that the NB model is the optimal power structure of decentralized decision scenarios in terms of green product innovation, supply chain profits, and social welfare. Our findings indicate that if supply chain members have equal power and bargaining mechanisms the effectiveness of government subsidies will be enhanced. This study provides new theoretical insights for green supply chain research by revealing the interplay between the power structure of the green supply chain and government subsidies.
Extraction and analysis of spatial divergence features of residence space
Authors: Sun Lishuang , Wu Xinyu , Xie Zhiwei , Wu Yifan
Published: June 2021

Reasonable planning of urban residential spaces is important for urban development. This article used the population spatial distribution data and house price data to extract and analyze the characteristics of urban residential space differentiation in Shenyang and Wuhan. The results showed that: (1) There was a phenomenon of residential space differentiation in Shenyang and Wuhan. Compared with Shenyang, the phenomenon of residential space differentiation in Wuhan was more serious;(2) The proportion of people living in low, medium and high housing price areas in Shenyang and Wuhan showed the primary form of olive structure. Research conclusions: Combined with the data of population spatial distribution and house price, the study of urban social space was conducive to building a fair, just and harmonious urban social space, which was valuable not only in theory but also in practice.
Spectral data processing based on maximum noise fraction
Authors: Guo Wentai , Ge Liangquan , Li Fei , Hu Chuanhao
Published: June 2021

The processing of gamma spectrum measurement data has always been an important step in data interpretation of the survey area. It includes the correction of radioactivity interference caused by non-measuring targets, the correction of effects caused by different heights or topography in the survey environment, the smoothness and denoising of the measurement spectrum, etc. The accuracy of each step will affect the final data resources. The interpretation of the materials results in inaccurate regional radioactivity assessment. Maximum noise separation transformation is a similar method to principal component transformation, which is used to reduce dimensionality and noise of data. This paper takes the noise reduction process of gamma spectrum data processing as the research direction, uses SPSS data processing software, combines with MATLAB to denoise the data, and uses the maximum noise separation transformation as the denoising method, applies it to denoise the spectral data, and uses the principal component analysis method and the maximum noise fraction method to denoise the same set of data separately. After analysis, it is concluded that the maximum noise fraction method is superior to principal component analysis when there is a large noise variance for a set of data.
Quantitative analysis of resident consumption structure in Sichuan Province
Authors: Zou Yonghong , Zhou Jun
Published: June 2021

Based on the data of residents' income and consumption from Sichuan Statistical Yearbook and China Statistical Yearbook from 2014 to 2018, this paper makes a descriptive analysis on the current situation of residents' consumption in Sichuan Province from three aspects: income expenditure comparison, Engel coefficient and the proportion of each consumption spending. Based on the income and consumption data of urban and rural residents in Sichuan Province, the consumption structure of urban and rural residents in Sichuan Province is analysed from two aspects of marginal propensity to consume and income elasticity of demand by using the results of ELES model. At last, the paper puts forward relevant suggestions from four aspects: exploring ways to increase residents' income, reducing residents' housing cost, strengthening infrastructure construction and improving rural medical insurance coverage.
Data study on influence of high altitude on dynamic performance of supercharged diesel engine
Authors: Dong Jihao , Cao Wen
Published: June 2021

In this paper, the dynamic performance of turbocharged diesel engine is studied comprehensively and systematically by using a high altitude diesel engine simulation test-bed to simulate different altitudes. The influence of altitude change on the dynamic performance of turbocharged diesel engine is analyzed, which provides an important basis for further improving and enhancing the performance of turbocharged diesel engine at high altitude.
Numerical study on penetration mode of steel with prefabricated double cracks
Authors: Zhou Weidong , Sun Ye
Published: June 2021

When a flat steel with double cracks fails, the stress fields between different cracks will interact. The area between the cracks, that is, the steel bridge area, will be penetrated. This paper embeds the strain strength criterion into the discrete element numerical simulation method, and uses the block discrete element software UDEC to simulate the crack propagation and penetration in the steel bridge region of the prefabricated double-crack flat steel sample. Numerical simulation results show that there are four basic penetration modes in the double-crack steel sample during compression: (1) Discontinuous mode, which is characterized by no penetration between cracks, and the two pre-crack tip wing cracks independently expand; (2) Shear penetration mode, which is characterized by shear cracks penetrating the steel bridge. The principal stress field and shear stress field are concentrated in the steel bridge area, but the shear stress plays a leading role in penetration; (3) Tensile penetration mode, its characteristics: In order to penetrate the steel bridge with tensile cracks, the principal stress field is highly concentrated accumulated and nucleated in the area of the steel bridge, and the steel bridge penetration is instantaneous; The process occurs after the peak intensity.
Theoretical study on limited slip principle of differential
Authors: Dong Jihao , Sun Ye
Published: June 2021

As one of the important assemblies of off-road vehicles, the anti-skid performance of differential is closely related to the passability of the whole vehicle. Based on the analysis of the power distribution characteristics of ordinary bevel gear differential, this paper studies the anti-slip principle of variable transmission ratio differential theoretically through mechanical analysis and working process analysis. The variation of adhesion coefficient between tire and pavement is analyzed, and the reasonable value of locking coefficient is obtained.
Research on the marine human resource development based on VAR model
Authors: Zhu Wanqing , Xiao Jianhua
Published: June 2021

This paper selects the data of China's marine human resources data from 1996 to 2016, and uses the VAR model to conduct an empirical analysis. Research shows that marine human resource development can promote the development of marine system, but mainly contributing to the marine scientific research investment, while the contribution of marine education investment is relatively small, resulting in insufficient supply of marine talents and affecting the positive development. Therefore, in order to promote the construction of a maritime power, corresponding suggestions are put forward.
Application of improved adaboost iteration in small sample for prediction of oral performance
Authors: Guan Hongmei
Published: June 2021

Adaboost as a kind of iterative algorithm, is a kind of important integrated learning technology, can be randomly surmised with slightly higher prediction accuracy than usingweak learning enhancement study for high prediction precision of apparatus, it’s is very difficult in strongly constructing learning, it provides an effective new way of thinking and new methods for the design of the learning algorithm. As a kind of algorithm framework, Boosting can be applied to almost all the popular machine learning algorithm to further improve forecasting precision of the original algorithm, and its application is very extensive and has a great influence. Based on Adaboost, 90 students’ oral English at a university as weak classifier samples, via the iterative calculation, get a high reliability of strong classifier, and it’s concluded that the prediction result with student can evaluate the prediction accuracy of the algorithm for results compared with the actual results.
Construction of evolutionary game model between actors and governance system in forest operation
Authors: Wang Guangju , Xie Renshan , Zhang Beibei , Yang Jianzhou
Published: June 2021

With the continuous development of evolutionary game theory, evolutionary game is widely used in various fields of society. This paper constructs the evolutionary game model of actors and governance system in forest resource operation and management, and analyzes the stability strategy of each break-even point of the game system. The results suggest that: (1) When the parameters meet the conditions C
5 > pC
4 + C
2
R + C
3 < pC
4, the evolutionary stability strategy of the game system is of (no protection, no regulation), which may lead to the continuous deterioration of forest resources; (2) When the parameters meet the conditions C
5 < pC
4 + C
2
R + C
3 > pC
4
C
5 < C
2, the evolutionary stability strategy of the game system is of (no protection, regulation), which is to strengthen the supervision mechanism and improve the consciousness of actors to protect forest resources; (3) When the conditions are satisfied C
5 < pC
4 + C
2
R + C
3 < pC
4, there is no evolutionary stability strategy in the game system.
Implementation of digital constant fraction timing based on field programmable gate array
Authors: Ding Wenwan , Hu Chuanhao , Cao Yang , Li Xuegang , Yue Tao , Zhao Kunling , Zhang Song , Zhang Wenbing , Gu Yi
Published: June 2021

Compared with analog circuits, FPGA(Field Programmable Gate Array) had the advantages of redevelopment and low cost. Compared with MCU, FPGA used hardware description language to construct the circuit, which had the advantages of simple structure and fast parallel operation speed. In this paper, the simulation of digital Constant Fraction Timing can be realized based on FPGA, and the feasibility and accuracy of the design can be proved by using the simulation waveform of Modelsim and the waveform can be captured by signaltap. Modelsim can verify the correctness of the timing between modules, and signaltap can verify the actual running effect of the program on the board.
Application of regression neural network and MIV algorithm in visual communication design
Authors: Zhu Wen
Published: June 2021

Regression neural network algorithm can continuously learn the characteristics of training samples, and it has good data tolerance, robustness and generalization ability, and has been widely used in all kinds of nonlinear regression problems. In this paper, a multi-input and single output neural network regression model is constructed. Through the weight training of a large number of experimental sample data characteristics, the nonlinear regression mapping relationship of multi parameter input is established, so as to realize the accurate prediction of the basic situation of cultural and creative enterprises, then to analyze the influence of cultural and creative enterprises on the visual communication design course. The result of the correlation coefficient of the two is 0.79. The average relative errors between the predicted results and the actual results are 9.167% and 9.63%, respectively, both of which are less than 12%. It shows that the regression neural network model constructed in this paper can accurately analyse and predict the data, and the error between the predicted value and the target output value of the network model meets the actual requirements. So it has good prediction accuracy and generalization performance.
Application of slack variable-optimized SVM on piano teaching reform
Authors: Li Tianjiao
Published: June 2021

The data mining task of the classification algorithm is mainly to classify the data and classify them into each known category. As a classification algorithm, SVM has many unique advantages in solving small sample, nonlinear and high-dimensional pattern recognition. Based on the advantages of the SVM algorithm, this paper optimizes the slack variables, establishes a teaching quality evaluation model, and takes 500 subjects of the questionnaire survey as data samples by comparing with a variety of classification methods to evluate, and the results show that the accuracy of the SVM model is 92.70%, which proves the effectiveness of the research model.
Hybrid binary quantization and BP network on action mechanism
Authors: Jiang Chenhui , Shangguan Zhiyang , He Huan , Zhang Jinglou , Ping Jing , Li Naiwei
Published: June 2021

BP neural network is a kind of artificial neural network, which is mainly used in function approximation, model recognition, classification and data compression. In the case of limited analysis ability of traditional research methods, BP neural network can overcome the problems of nonlinear relationship. In this paper, the improved BP neural network was used to predict the properties. The data processing of the properties, tastes and was carried out by binary quantization. The prediction results’ correct rate was 87.5%.
Research on the Development Strategy of TC/CP Based on MSE-CM-BP Neural Network
Authors: Yang Zihan
Published: June 2021

As a science dedicated to simulating human learning by computer, machine learning has the ability to improve itself through empirical learning in dealing with interdisciplinary data statistics and approximation. Among them, BP neural network has stable and good nonlinear optimization processing ability, and it can deal with complex big data from a statistical perspective in strategy development. Therefore, this paper collects the data of income and rural development and its related influencing factors from 2010 to 2019, establishes a BP neural network with mean square error as the convergence measure of the results, and evaluates the application effect of BP neural network with the development strategy and creative products. The relative error of the results is less than 12%, and the correlation coefficient between influencing factors and results is not less than 0.8547.
Density functional study on the interaction of Graphene-supported Nickel cluster with CO2 molecule
Authors: Pradana M R , Maulana A L , Prasetyo Y , Saputro A G , Agusta M K , Ginting L Y , Dipojono H K
Published: June 2021

We try to use small size Ni cluster supported on graphitic material as an alternative for CO 2 hydrogenation catalyst. As an initial step, we study the ability of the supported Ni 4 cluster to interact with CO 2 molecule by means of density functional theory-based calculations. We find that strong CO2 adsorption can only be formed on top of the Ni 4 cluster site. Due to the strong Ni 4-CO 2 interaction, the CO 2 molecule is always adsorbed with a bidentate adsorption configuration on the Ni 4 cluster. The graphene surface and Ni 4-graphene interface cannot accommodate CO 2 chemisorption due to the weak graphene-CO 2 interaction.
Using particle effective density to determine SMPS-based aerosol mass concentration: application to airborne carbon and titanium nanoparticles
Authors: Bau Sébastien , Oury Benoît , Matera Virginie , Simon Xavier
Published: June 2021

To avoid multiple instruments to be deployed in field measurement campaigns based on airborne nanoparticles characterization, this study aims at investigating the capability of a Scanning Mobility Particle Sizer (SMPS) to provide accurate data relative to the mass concentration. Two series of test nanoaerosols were produced using a spark-discharge generator equipped with carbon or titanium electrodes (modal number diameters between ~ 50 and ~ 170 nm). The mass concentration was monitored by means of a personal AM520 photometer operated in parallel with the SMPS and closed-face cassette sampling for further off-line analysis: gravimetric analysis, and chemical analysis (thermo-optical analysis for carbon, ICP-OES for titanium). For each operating condition, the average number size distribution stemming from the SMPS was converted into mass size distribution accounting for particle effective density and integrated over the whole range of particle diameters to determine the corresponding mass concentration. Results highlight correlations (R2 ~ 0.9) between SMPS-based and chemical analysis or gravimetric mass concentrations below 1 mg/m3, with relative discrepancies lower than ~ 15% and ~ 25%, respectively. The AM520 photometric response remains dependent on particle physical and light scattering properties, which differ with the test dust used for factory calibration.
Effect of Different Nutrient Solution Proportion on Morphological Indexes of Hyacinthus orientalis L
Authors: Wu Haifeng , Shan Tingting , Li Anlan , Wang Zihan , Liu Yuning , Rozlomiy Natalya G. , Han Lin
Published: June 2021

Control the hydroponic conditions of hyacinths with different nutrient solution ratios, select the “Blue Star” variety, and set the CK control group with hyacinth bulbs with uniform bulb sizes for experiment, observe and record the hyacinth root system under different nutrient solution ratios, Bud length, growth vigor and so on. The effects of different nutrient solution ratios on the growth and ornamental quality of the root system and buds of hydroponic hyacinths are preliminarily summarized. The results showed that the nutrient solution treatment would temporarily hinder the growth of the root system, and promote the acceleration of the root system growth after the slow seedling period. The effect of formula B was the most obvious. There was a certain correlation between the growth of buds and the growth of roots. Nutrient solution treatment has good effects in controlling plant lengthening, adjusting crown width, increasing scape diameter, increasing leaf area, and increasing leaf chlorophyll content, but different varieties have different adaptability to different nutrient solution formulas.
Identification of Key Nodes in Urban Subway Disaster Network Based on EDK Algorithm
Authors: Jiang Yun , Yue Lihong
Published: June 2021

In order to systematically study the occurrence and propagation mechanism of disaster events in urban rail transit systems, based on complex network theory, a new coupling algorithm based on degree center algorithm and K-shell decomposition method—EDK algorithm is proposed. The algorithm combines the global and local attributes of the node, and uses the entropy method to determine the weight of the contribution of the index and the KS index to the importance of the node to obtain the comprehensive importance of the node. By comparing with existing node recognition algorithms, the verification algorithm has low complexity and high accuracy. Based on the domestic urban rail transit disaster event data for the past 20 years, construct a disaster-oriented network model, use the EDK algorithm to analyze the urban rail transit disaster risk system, identify key disaster nodes, combine actual data and compare the spread influence with the SI model to verify Disaster models and algorithms. The results show that the EDK algorithm can effectively identify the key disaster nodes in the urban rail transit disaster network, and the evaluation of the importance of the disaster nodes in the network is consistent with the actual situation.