bluuebunny/crossref_metadata_2025 huggingface dataset:
Nonlinear beam shaping in periodical χ
(2) fork gratings with structural defects
Authors: Xu Tian Xiang , Zhao Ru Wei , Dai Shi Xun
Published: November 2020

Nonlinear beam shaping provides an efficient way to control the phase and amplitude of optical waves while shifting their frequency. Periodical topological structures with a modulated second-order nonlinear optical coefficient (χ
(2)) are commonly used to generate special optical beams at new frequencies, e.g. the second harmonic vortices. In this paper, we theoretically study the influence of structural imperfection on nonlinear beam shaping and demonstrate how to utilize these imperfections for second harmonic generation with controlled orbital angular momentums. The results indicate that the studied nonlinear beam-shaping process has excellent tolerance to structural defects, and introducing designed defects of different scales and shapes constitutes a flexible approach for controlling the orbital angular momentum of light at new frequencies. As a proof of concept example, the nested χ
(2) structures are designed for generating optical vortices with predesigned topological charges along different directions. In addition, the performance of the nonlinear generation of vortex beams with a fundamental beam shifted from the center of the fork grating is also discussed. The study opens up new prospects for the optimization of nonlinear χ
(2) structures for special beam generation at new frequencies.
A modification of Faddeev–Popov approach free from Gribov ambiguity
Authors: Chen Chong-yao , Gao Fei , Liu Yu-Xin
Published: November 2020

We propose a modified version of the Faddeev–Popov (FP) quantization approach for non-Abelian gauge field theory to avoid Gribov ambiguity. We show that by means of introducing a new method of inserting the correct identity into the Yang–Mills generating functional and considering the identity generated by an integral through a subgroup of the gauge group, the problem of Gribov ambiguity can be removed naturally. Meanwhile by handling the absolute value of the FP determinant with the method introduced by Williams and collaborators, we lift the Jacobian determinant together with the absolute value and obtain a local Lagrangian. The new Lagrangian will have a nilpotent symmetry which can be viewed as an analog of the Becchi–Rouet–Stora–Tyutin symmetry.
Energy level splitting of a 2D hydrogen atom with Rashba coupling in non-commutative space
Authors: Aghababaei S , Rezaei G
Published: November 2020

We explore the non-commutative (NC) effects on the energy spectrum of a two-dimensional hydrogen atom. We consider a confined particle in a central potential and study the modified energy states of the hydrogen atom in both coordinates and momenta of non-commutativity spaces. By considering the Rashba interaction, we observe that the degeneracy of states can also be removed due to the spin of the particle in the presence of NC space. We obtain the upper bounds for both coordinates and momenta versions of NC parameters by the splitting of the energy levels in the hydrogen atom with Rashba coupling. Finally, we find a connection between the NC parameters and Lorentz violation parameters with the Rashba interaction.
Analyses of multi-pion Bose-Einstein correlations for granular sources with coherent pion-emission droplets *
Authors: Bary Ghulam , Zhang Wei-Ning , Ru Peng , Yang Jing
Published: November 2020

The ALICE Collaboration measured three- and four-pion Bose-Einstein correlations (BECs) for Pb-Pb collisions at the Large Hadron Collider (LHC). It is speculated that the observed significant suppression of multi-pion BECs is owing to a considerable degree of coherent pion emission in these collisions. Here, we study multi-pion BEC functions for granular sources with coherent pion-emission droplets. We find that the intercepts of the multi-pion correlation functions at the relative momenta near zero are sensitive to the number of droplets in the granular source. They decrease with the droplet number. The three-pion correlation functions for evolving granular sources with momentum-dependent partially coherent pion-emission droplets basically agree with the experimental data for Pb-Pb collisions at

TeV at the LHC. However, the model results for the four-pion correlation function are inconsistent with the experimental data. Investigations into normalized multi-pion correlation functions of granular sources suggest an interesting enhancement of the normalized four-pion correlation function in the moderate relative-momentum region.
Charmed and ϕ meson decay constants from 2+1-flavor lattice QCD *
Authors: Chen Ying , Chiu Wei-Feng , Gong Ming , Liu Zhaofeng , Ma Yunheng
Published: November 2020

On a lattice with 2+1-flavor dynamical domain-wall fermions at the physical pion mass, we calculate the decay constants of

,

, and

. The lattice size is

, which corresponds to a spatial extension of

fm, with a lattice spacing of

fm. For the valence light, strange, and charm quarks, we use overlap fermions at several mass points close to their physical values. Our results at the physical point are

MeV,

MeV,

MeV,

MeV, and

MeV. The couplings of

and

to the tensor current (

) can be derived from ratios

and

, respectively, which are the first lattice quantum chromodynamics (QCD) results. We also obtain ratios

and

, which reflect the size of heavy quark symmetry breaking in charmed mesons. Ratios

and

can be taken as a measure of SU(3) flavor symmetry breaking.
A new correction method for quasi-Keplerian orbits
Authors: Chen Yue , Ma Da-Zhu , Xia Fang
Published: November 2020

A pure two-body problem has seven integrals including the Kepler energy, the Laplace vector and the angular momentum vector. However, only five of them are independent. When the five independent integrals are preserved, the two other dependent integrals are naturally preserved from a theoretical viewpoint; but they may not necessarily be from a numerical computational viewpoint. Because of this, we use seven scale factors to adjust the integrated positions and velocities so that the adjusted solutions strictly satisfy the seven constraints. Noticing the existence of the two dependent integrals, we adopt the Newton iterative method combined with singular value decomposition to calculate these factors. This correction scheme can be applied to perturbed two-body and N-body problems in the solar system. In this case, the seven quantities associated with each planet slowly vary with time. More accurate values can be given to the seven slowly-varying quantities by integrating the integral invariant relations of these quantities and the equations of motion. They should be satisfied with the adjusted solutions. Numerical tests show that the new method can significantly reduce the rapid growth of numerical errors for all orbital elements.
Direct determination of midplane background neutral density profiles from neutral particle analyzers
Authors: Bogar K. , Geiger B. , Schneider P.A. , Jansen van Vuuren A. , Grover O. , ASDEX Upgrade team the , EUROfusion MST1 team the
Published: November 2020

Here we present a new method that allows the determination of background neutral density profiles based on measurements from neutral particle analyzers (NPA). Bayesian optimization is used to obtain a reliable 5-parameter representation of the inferred profiles. The method has been benchmarked using forward modelling from FIDASIM against measured data. The systematic errors coming from assumptions made in the analysis were evaluated and they are lower than ≲5%. The new method has been tested using data from the ASDEX Upgrade tokamak. When using reconstructed neutral density profiles, good agreement is found between the measured NPA fluxes of neutralized fast ions with predictions based on TRANSP and FIDASIM. Moreover, a clear drop of neutral density is observed at the plasma boundary after edge localized mode (ELM) activity. As suggested by KN1D simulations, this drop is mainly due to an increase of scrape-off layer (SOL) ionization rate, resulting from higher SOL plasma densities and temperatures after the ELM crash. Moreover, the new method allows calculating the local plasma ionization source which will be important for future transport studies.
Tokamak discharge simulation coupling free-boundary equilibrium and plasma model with application to JT-60SA
Authors: Ostuni V. , Artaud J.F. , Giruzzi G. , Joffrin E. , Heumann H. , Urano H.
Published: November 2020

In order to simulate a full tokamak discharge, a fast integrated tokamak modeling tool for scenario design, METIS, is coupled with a quasi-static free-boundary magnetic equilibrium code, FEEQS. The first code is able to compute at each time the plasma equilibrium, the current density and plasma pressure profiles. The generated outputs are iteratively used by the second code that computes the poloidal field coils currents needed in order to obtain a given plasma shape. This is used to assess the feasibility of scenarios designed by integrated modeling simulations. This approach is much faster with respect to full simulators, equipped with specific feedback controllers, and can be regarded as complementary or preparatory to much more time-consuming scenario control optimisation. The results obtained with the equilibrium code are benchmarked with data already available and computed using the TOSCA code. To illustrate how the coupled codes work, the optimization of one of the reference scenarios of the JT-60SA tokamak is carried out. The use of this new simulation tool for tokamak scenario design is discussed.
Impurity mode induced turbulent particle transport and its temperature screening effect
Authors: Han M.K. , Zhong W.L. , Dong J.Q. , Wang Z.X. , Zou X.L. , Horton W. , Shen Y. , Sun A.P. , Wang J.L. , Gao J.M. , Feng B.B. , Chen C.Y. , Xiao G.L. , Shi Z.B. , Yu D.L. , Ji X.Q. , Dong C.F. , Fang K.R. , Wang L.F. , Xiao Y. , Xu M. , Duan X.R.
Published: November 2020

Turbulent transport of impurity ions with hollow density profiles (HDPs), which are widely observed in magnetically confined plasmas and desirable for fusion reactor, is self-consistently investigated. A full gyrokinetic description is employed for main and impurity ions. Instead of conventional ion temperature gradient (ITG, including impurity ITG) and trapped electron modes (TEMs), impurity modes (IMs), driven by impurity ion density gradient opposite to that of electrons, are considered. The impurity ion flux induced by IMs is shown to be approximately one order of magnitude higher than that induced by TEMs when both kinds of modes coexist. Main ITG and electron temperature gradient (ETG) are found to reduce influx of impurity ions significantly, resembling temperature screening effect of neoclassical transport of impurity ions. The simulation results such as peaking factor of the HDPs and the effects of main ITG are found in coincidence with the evidence observed in argon injection experiment on HL-2A tokamak. Thus, the IM turbulence is demonstrated to be a plausible mechanism for the transport of impurity ions with HDPs. A strong main ITG, ETG, and a low electron density gradient are expected to be beneficial for sustainment of HDPs of impurity ions and reduction of impurity accumulation in core plasma.
A semi-supervised machine learning detector for physics events in tokamak discharges
Authors: Montes K.J. , Rea C. , Tinguely R.A. , Sweeney R. , Zhu J. , Granetz R.S.
Published: November 2020

Databases of physics events have been used in various fusion research applications, including the development of scaling laws and disruption avoidance algorithms, yet they can be time-consuming and tedious to construct. This paper presents a novel application of the label spreading semi-supervised learning algorithm to accelerate this process by detecting distinct events in a large dataset of discharges, given few manually labeled examples. A high detection accuracy (>85%) for H–L back transitions and initially rotating locked modes is demonstrated on a dataset of hundreds of discharges from DIII-D with manually identified events for which only three discharges are initially labeled by the user. Lower yet reasonable performance (∼75%) is also demonstrated for the core radiative collapse, an event with a much lower prevalence in the dataset. Additionally, analysis of the performance sensitivity indicates that the same set of algorithmic parameters is optimal for each event. This suggests that the method can be applied to detect a variety of other events not included in this paper, given that the event is well described by a set of 0D signals robustly available on many discharges. Procedures for analysis of new events are demonstrated, showing automatic event detection with increasing fidelity as the user strategically adds manually labeled examples. Detections on Alcator C-Mod and EAST are also shown, demonstrating the potential for this to be used on a multi-tokamak dataset.
Climatic control of upper Yangtze River flood hazard diminished by reservoir groups
Authors: Li He , Liu Pan , Guo Shenglian , Cheng Lei , Yin Jiabo
Published: November 2020

Over recent decades, concern has grown regarding the effects of climate change and artificial river projects on the variability of river floods. Specifically, it has been demonstrated that the Mississippi River flood hazard has been amplified by river engineering. In contrast, the world’s largest reservoir group with the Three Gorges Reservoir at its core has been built along the upper reaches of the Yangtze River, but the question of whether there has been a positive effect on flood control is worthy of discussion. Here, we revisit nine paleofloods from the ancient stone inscriptions for the first time and show that while annual peak discharge in the upper reaches of the Yangtze River is dominated by sunspot numbers and the North Atlantic Oscillation, the magnitude of flooding has been decreased by the reservoir group, which diminished flood hazard through reversing or strengthening the direction of climate control on the flood.
Transforming the stories we tell about climate change: from ‘issue’ to ‘action’
Authors: De Meyer Kris , Coren Emily , McCaffrey Mark , Slean Cheryl
Published: November 2020

By some counts, up to 98% of environmental news stories are negative in nature. Implicit in this number is the conventional wisdom among many communicators that increasing people’s understanding, awareness, concern or even fear of climate change are necessary precursors for action and behavior change. In this article we review scientific theories of mind and brain that explain why this conventional view is flawed. In real life, the relationship between beliefs and behavior often goes in the opposite direction: our actions change our beliefs, awareness and concerns through a process of self-justification and self-persuasion. As one action leads to another, this process of self-persuasion can go hand in hand with a deepening engagement and the development of agency—knowinghowto act. One important source of agency is learning from the actions of others. We therefore propose an approach to climate communication and storytelling that builds people’s agency for climate action by providing a wide variety of stories of people taking positive action on climate change. Applied at scale, this will shift the conceptualization of climate change from ‘issue-based’ to ‘action-based’. It will also expand the current dominant meanings of ‘climate action’ (i.e. ‘consumer action’ and ‘activism’) to incorporate all relevant practices people engage in as members of a community, as professionals and as citizens. We close by proposing a systematic approach to get more reference material for action-based stories from science, technology and society to the communities of storytellers—learning from health communication and technologies developed for COVID-19.
Interpretation of the statistical/dynamical prediction for seasonal tropical storm frequency in the western North Pacific
Authors: Kang Namyoung , Elsner James B
Published: November 2020

Despite the improving techniques for seasonal prediction of tropical storm frequency, attention seems focused on accuracy rather than on forecast interpretation. This study aims to show how seasonal predictions from a hybrid model, i.e. statistical/dynamical model, can be interpreted with probability distributions. The tropical storm frequency in the western North Pacific is modeled with environmental predictors through multiple linear regression. For a demonstration of the probabilistic structure of the prediction result, the forty-two member ensemble predictions from the Glosea5 model for June–July–August in 2020 are used as the dynamical input. Rather than dealing with the expected frequency, this study introduces the predictive probability for a single value of the frequency. From as many probability distributions, a marginal probability distribution is obtained as the final predictive probability distribution. The probability distribution is then compared to the climatological reference by terciles. Additionally, predictive probability distributions made with the individual predictors provide helpful information on how each contributes to the final prediction. This probabilistic interpretation procedure is expected to be effectively used for improving any hybrid approach.
Quantifying carbon flows in Switzerland: top-down meets bottom-up modelling
Authors: Froemelt Andreas , Geschke Arne , Wiedmann Thomas
Published: November 2020

Modelling frameworks that aim to support policymakers in deriving effective measures to reduce environmental impacts should provide both: quantitative information on locally occurring consumption patterns and production systems as well as assessment of policy scenario outcomes. Regionalised models that can deliver on these aims are emerging, but are currently limited in resolution or have other restrictions. An advanced model can be achieved by exploiting the advantages and overcoming the limitations of top-down and bottom-up approaches. In this article, we describe a highly detailed, spatially-resolved modelling framework that quantifies local activities and simultaneously analyses system-wide environmental and economic effects of planned interventions. We combined an existing, highly detailed bottom-up model for Switzerland (focusing on individual households) with a macro-economic top-down approach by developing a new Swiss sub-national, multi-region input-output model. We conducted two case studies to demonstrate its abilities and to highlight its usefulness. First, production-based greenhouse gas emissions and consumption-based carbon footprints were computed for all Swiss cantons and regional differences, interdependencies as well as embodied carbon flows among regions were investigated. We find that rural cantons have higher production-based emissions per gross domestic product than more urban cantons because of different economic structures. In contrast, certain ‘city-cantons’ entail highest consumption carbon footprints per inhabitant due to high per-capita gross capital formation. Furthermore, this case study discusses the importance of providing regionalised information on effects of measures along the economic value chains. Second, a detailed scenario assuming a realistic lifestyle change for an actual household and a thorough physical retrofit of its home was set up. Regionalised environmental and economic consequences along the supply chains were evaluated. This case study exemplifies how the modelling framework can be used to inform policymakers about expected benefits and downsides of detailed scenarios and emphasises the importance of considering rebound effects.
Critical percolation on the kagome hypergraph
Authors: Scullard Christian R , Jacobsen Jesper Lykke , Ziff Robert M
Published: November 2020

We study the percolation critical surface of the kagome lattice in which each triangle is allowed an arbitrary connectivity. Using the method of critical polynomials, we find points along this critical surface to high precision. This kagome hypergraph contains many unsolved problems as special cases, including bond percolation on the kagome and (3, 122) lattices, and site percolation on the hexagonal, or honeycomb, lattice, as well as a single point for which there is an exact solution. We are able to compute enough points along the critical surface to find a very accurate fit, essentially a Taylor series about the exact point, that allows estimations of the critical point of any system that lies on the surface to precision rivaling Monte Carlo and traditional techniques of similar accuracy. We find also that this system sheds light on some of the surprising aspects of the method of critical polynomials, such as why it is so accurate for certain problems, like the kagome and (3, 122) lattices. The bond percolation critical points of these lattices can be found to 17 and 18 digits, respectively, because they are in close proximity, in a sense that can be made quantitative, to the exact point on the critical surface. We also discuss in detail a parallel implementation of the method which we use here for a few calculations.
Physiological Effects of Artificial Light Environment on Rice in Ecological Landscape
Authors: Xu Xiaoqiao , Chen Qingchang , Cai Yaming
Published: November 2020

Artificial light sources have been widely used in urban night lighting and country road lighting. Landscape lighting makes plants, buildings and various urban or rural structures covered with prosperous cloaks, and the transformation of light and shadow makes the landscape environment more beautiful. However, while creating a unique lighting landscape, the light source often neglects the influence of its light environment on the physiological morphology of plants. More often, it causes light pollution, chaotic light, and environmental damage. Therefore, this paper reviews the research on the effects of artificial light environment on rice physiological morphology as an example. The design of light source in the direction of ecological landscape should be more in line with the requirements of plant growth, and achieve “material-oriented”.
Analysis of the Force Characteristics of the Chinese Wooden Dou-Gong Brackets in the Ming Dynasty
Authors: Zhang Chengya , Gao Yubo
Published: November 2020

The Dou-Gong bracket is the most unique part of Chinese wooden architecture. It has an exquisite structure and complex stress. It bears the important force-bearing components between the beam and the column. Different Dou-Gong in different historical periods has different structures and characteristics. This article takes the Jinci Mirror Terrace in the Ming Dynasty as an example and uses the Abaqus to simulate the vertical force to analyze its force characteristics and force transmission path. At the same time, comparing the actual damage of the ancient buildings, it is found that they are consistent with the simulation phenomenon, which proves that the stress simulation of the Dou-Gong has certain guiding significance, and thus summarizes the weak points of the Gou-Gong in the Ming Dynasty, to provide a basis for the daily protection and reinforcement of the Gou-Gong brackets.
Safety Management of Coal Mining Process
Authors: Wang Haibing , Li Zhuqing
Published: November 2020

With the gradual strengthening of national coal mine safety inspection work. But people still lack safety awareness in the coal mine production process. The lack of attention to safety management has led to many safety accidents in the production process of the coal mine industry. Effective supervision of the coal mine production process is of great significance to protect the safety of coal mine workers. At present, the forecasting method in advance is gradually becoming the main method in the main means of coal mine safety management. By studying the competitive strategies of coal enterprises by predicting and analyzing in advance, the modernization of coal enterprise management can be better achieved. Strengthening coal mine safety management and reducing hidden safety hazards are the key content of the development of coal mine industry. This article searches for literature related to coal. Mainly include published books, journals, academic papers, etc., and then classify them. This article starts with the analysis of the problems in coal mine safety management, and puts forward strategies to strengthen coal mine safety management to improve the safety of coal mine industrial production.
Saturated Load Forecast of Hebei Province Based on LSTM
Authors: Hu Shiyao , Zhao Yang , Tan Xiaolin , Geng Shiping , He Chunguang , Guo Xiaopeng
Published: November 2020

Aiming at the characteristics of saturation load forecasting with strong uncertainty and greater time correlation, and comprehensively considering the relevant factors that affect the saturation load level, this paper establishes a multi-factor saturation load forecasting model based on long-short term memory neural networks. Firstly, the judgment basis of saturated load state is determined according to the related factors of foreign developed regions; then, based on the Logistic curve model, the socio-economic factors affecting the saturated load level are predicted as the input of the network model; finally, based on the historical social and economic development data and electricity consumption data of Hebei Province, the future social and economic development of Hebei Province is divided into four different scenarios, and the long-short term memory neural network model is used to predict, respectively discuss the time and scale of Hebei Province entering the saturation load level under different scenarios, and provide reference and suggestions for the future power planning of Hebei Province.
Species and Distribution of Understory Plants in Parks
Authors: Gui Yu , Li Jiayi , Yang Jinghui
Published: November 2020

In order to understand the application status of undergrowth ground cover plants in Tianjin parks, the planting area and distribution of understory ground cover plants in aquatic parks, nancui Ping parks and Changhong parks in Tianjin were investigated by the methods of whole garden investigation and sample plot investigation. The results showed that there were 9 species of understory plants in the three parks: Hosta plantaginea (Lam.), Duchesnea indica (Andr.), Sabina rocumbens (endl.), Agave sisalana perr. Ex Engelm., iris lactea, Hemerocallis fulva (L.) L., Buxus megistophylla, Sedum aizoon L. and Rubia cordifolia L., belonging to 9 families 9 Genus. Among them, Hosta plantag nea (Lam.), Duchesnea indica (Andr.) and Sabina rocumbens (endl.) grew well, while iris lactea, Sedum aizoon L. and Rubia cordifolia L. grew poorly. The planting area of Duchesnea indica (Andr.) is the largest, Hemerocallis fulva (L.) L. is the smallest; the ratio of planting area to total park area is the highest, followed by Sabina rocumbens (endl.). The results showed that there were horsta plantaginea (Lam.), Duchesnea indica (Andr.), Sabina rocumbens (endl.), iris lactea, Hemerocallis fulva (L.) L., Buxus megistophylla, and Rubia cordifolia L., Agave sisalana perR. Ex Engelm. And Sedum aizoon L. Duchesnea indica (Andr.) had the highest distribution density, and Hosta plantaginea (Lam.) had the highest frequency. In a word, Horta plantaginea (Lam.) was the most planted species, followed by Duchesnea indica (Andr.) and Sabina rocumbens (endl.), and the planting area of other species was the smallest.
Government Functions of Haze Control
Authors: Jiang Tao
Published: November 2020

Behind China’s haze pollution problem is the unsustainability of China’s economic development model. The imperfect laws and regulations on haze control and the establishment of institutions in China also reflect the lack of the haze control ability of the Chinese government. For the atmosphere, a public good, the frequent occurrence of haze indicates that the market has failed, and no one pays for the haze. Under various circumstances, only the government functions can be used for haze control. Through the administrative and social functions of the government, especially the economic functions, we can find a suitable path for haze control in China. This paper reviews the process of haze control in London and proposes that the government should give full play to its role in this field when the market fails in the face of atmospheric public goods.
Optimization of Tawa Landslide Treatment Scheme Based on the AHP-Fuzzy Comprehensive Evaluation Method
Authors: Tian Gengshuo , Guo Zikun , Li Shuxing
Published: November 2020

In recent years, with the rapid economic growth, China invested a great deal of time and energy to public infrastructure construction, therefore obtained the rapid development of transportation industry, especially highways and railways. However, in the process of expressway construction, geological disasters are often accompanied by it, especially landslides. Nowadays, China advocates ecological restoration, and some landslides and slopes need effective treatment to restore the ecological environment. This article takes Tawa landslide as an example, and adopts the AHP-fuzzy comprehensive analysis method to optimize different treatment plans, so as to obtain the optimal treatment plan for the landslide.
Study on Characteristics and Prediction of Bank Collapse Caused by Water Conservancy Projects in Shanxi Province
Authors: Li Shuxing , Song Fei , Tian Gengshuo
Published: November 2020

Bank collapse is a common engineering geological problem during the operation of water conservancy and hydropower projects. Due to different regional geological environment conditions, types and characteristics of bank collapses are various. Based on the field investigation of water conservancy projects in Shanxi Province, according to the different regional and geological environment conditions, the bank collapse caused by the water conservancy project in Shaanxi Province is divided into abrasion-induced bank collapse, erosion-induced slipping bank collapse, erosion-induced falling bank collapse and storage-induced slipping bank collapse. This paper described basic characteristics of four typical bank collapses separately, and summarized regional distribution characteristics of the four typical bank collapses; Through field investigation, we obtained the water stable slope angle, underwater stable slope angle and wave strike belt slope angle of various types of reservoir collapse banks, and used the graphical method to predict the width and development trend of different types of bank collapse and analyzed the impact of bank collapse Scope and degree of influence.
Marine Environment Element Statistic Characteristics Analysis
Authors: Chen Baiyu , Zhang Luyang , Chen Yuetong , He Linhuan , Wang Liping
Published: November 2020

In this paper, we derived a probability distribution model that considers joint probability of discrete and continuous distribution models to estimate extreme values of ocean environment factor. We aim to improve the design standard research in ocean engineering projects. We use this new model to calculate the joint extreme value of multiple ocean environment factors in typhoon-affected sea area. Our model showed comprehensive information on the randomness and interactive-relationship of extreme values of ocean environment elements. The asymmetric relative structure formula of Poisson-Nested-Logistic distribution gives us ocean environment information, like correlation and stratification. We evaluated our model by three different case studies based on real historical datasets.
Design Strategy of Friendly and Healthy Environment for Urban Aging Community
Authors: Hu Xiaoyi , Wei Yuxin , Tang Jiawen
Published: November 2020

How to achieve the local benefits of the elderly in urban aging communities has become an urgent problem for China’s active aging construction, and the construction of a friendly and healthy environment for aging community provides a new way to solve the problem. This paper conducts an empirical investigation on the Jiangsu smart elderly community, collects and analyzes the phenomenon based on the relationship between the daily activities of the elderly and the community environment, discusses the elderly’s adaptation to the community’s outdoor environment and the behavioral characteristics of the elderly. Based on the safety and friendliness of the community’s pedestrian traffic environment, the cognitive friendliness of the community’s public facility environment, and the perceived friendliness of the community’s landscape environment, this paper proposes strategies for the design of an aging community’s friendly and healthy environment,and those are expected to provide some inspiration to the environmental construction of Chinses aging communities.
Research on Development Strategy of Agriculture and Forestry Economy in Transition Period
Authors: Sun Wenbo , Liu Yingjie
Published: November 2020

in recent years, with the continuous development of social economy, China’s society is in an important transition period of development. Rural economic development has always been a matter of great importance to the state, and rural financial development is the key factor of rural economic development, providing a reliable guarantee for the overall development of rural economy. Therefore, it is of great practical significance for the current development of rural areas in China to comprehensively and accurately grasp the development of rural finance in the transition period and the problems that arise, and actively seek the development direction of rural finance in the transition period.
Treatment of High Fluorine Surface Water by Crystal Seed Method
Authors: Luo Qijin , Lei Yutao , Chen Jianyu , Lin Fangmin , Li Jingshi , Yi Xingui , Liang Wenzhong
Published: November 2020

In view of the current defluorination process of surface water mainly concentrated on the treatment of reduce the concentration of fluoride to less than 10 mg/L, but less research on the treatment of reduce the concentration of fluoride less than 1.0 mg/L, the existing technology are complex process, and the cost is high. High concentration fluoride surface water was treated by crystal seed process which high-purity calcium fluophosphate and calcite as seed crystal. The best operation conditions for fluoride removal were confirmed through the single factor experiments and orthogonal test: adding seed crystal(Calcite: calcium fluophosphate is 1:4) of 8 g/L with Na3PO4 and CaCl2 to make molar ratio of the calcium ion, phosphate ion and fluorin ion be 12:6:1,the reaction time was 1 h, and the stirring rate was 200 r/min. High removal rate of fluorine ion and utilization rate of phosphate ion were also achieved during the reaction ( higher than 94% and 97%,respectively). This research proved that the crystal seed process could reduce the concentration of fluoride in surface water from 15 mg/L to less than 1mg/L which meets the standard of surface water environment quality.
Measurement of President Reputation of Farmers’ Specialized Cooperatives Based on Factor Analysis
Authors: Xu Jie
Published: November 2020

As the most important carrier to solve the contradiction between “small farmers” and “big markets”, cooperatives play an important role in the development of rural economy. As the soul of the cooperative, the president’s reputation is crucial to the development of the cooperative. On the basis of stakeholder theory and role theory, this paper constructs a measurement model with 35 indicators including 8 aspects: leader role, benefit spokesperson, team worker, ethical model, mobilization motivator, innovator, social contributor, relationship coordinator, etc. Through sorting out and analyzing the first-hand survey data of 39 farmers’ professional cooperatives in Sichuan Province, the three most important dimensions was obtained that affect the reputation of the president: leader role, ethical model and mobilization motivator. Finally, the targeted cultivation measures for the president’s reputation were put forward.
Replacement Construction Technology of Collapsible Loess Subgrade in Typical Subtropical Humid Climate Area
Authors: Zhao Hua , Pan Jingsheng , Hu Juan , Wang Yong
Published: November 2020

Aiming at the problem of insufficient bearing capacity of collapsible loess in highway subgrade engineering, taking the second phase of KKH project in Pakistan as an example, Based on the analysis of the physical and mechanical properties of collapsible loess in this area and the actual situation of the project, the most effective construction technology is explored. The construction technology of replacing natural gravel is analyzed, and summarizes the actual operation of the construction methods, to provide some theoretical basis and construction reference for related projects. The results show that the design and construction requirements can only be met under the condition of strict implementation of the norms and standards, combined with the actual situation of the project, and the most effective construction technology explored can be applied to the construction of highway subgrade.
Seismic Behavior of Connection of Steel Frames and Composite Wall Panels
Authors: Li Jiuyang , Li Daozheng , Li Fangqi
Published: November 2020

Steel frames and composite wall panels are usually connected by welding. In this paper, a flexible bolt connection method is designed, and the cross section of the original composite wall panel is optimized to form a new envelope structure system. The new envelope structure is analyzed as a whole using the finite element software ABAQUS. In order to compare the performance of the welding and the flexible bolt connections, an experimental study is carried out to investigate the bearing capacity and displacement of single bolt and two bolts flexible bolt connection and the welded connection. The seismic bearing capacity, ductility and energy consumption capacity of of the different envelope structures are analysed. The results of the theoretical analysis and experimental verification indicate that the flexible bolt connection is superior to the rigid welded connection in terms of bearing capacity, ductility, energy consumption and impact on the stiffness of the main structure. It is believed that such findings are of great value for further application of steel frame structure in practice.
Comparative Study on Low Temperature Germination Ability of Overwintering Green Manure
Authors: Wen Yanjie , Du Jin , Yu Shiguo , Zhao Fei , Li Zifang , Liu Jian , Cao Gaoyi , Xiang Chunyang
Published: November 2020

Green manure is a biological fertilizer source with complete nutrients, which provides reference for the selection of green manure resistant to low temperature germination. Six green manure crops including Brassica napus L., Orychophragmus violaceus (L.) O. E. Schulz, Medicago sativa L., Lolium perenne L., Melilotus officinalis (Linn.) Pall. and Vicia villosaRoth were selected as experimental materials to study the effects of low temperature stress on germination and seedling growth of different green manure through low temperature germination experiments. The results showed that there were significant differences in cold tolerance of the seeds of 6 medium green manure crops during germination. The germination potential, germination rate, germination index, vitality index, seedling height, root length, seedling fresh weight, soluble protein content and chlorophyll content of Brassica napus L. and Vicia villosaRoth seeds were all better than those of other green manure crops, which provided theoretical basis for the actual production of green manure.
Identification of Tolerance of Wheat (Triticum Aestivum L.) With Different Ploidy under Salt Stress
Authors: Xie Xiaojuan , Zhao Fei , Zheng Yuyuan , Sang Liran , Zhang Poyuan , Jiang JinJuan , Cao Gaoyi
Published: November 2020

In this study, different ploidy wheat were used as experimental materials to explore the effects of different concentrations of NaCl stress on (Triticum aestivum L.) of different wheat. The effects of varieties, germination period and seedling growth provide a theoretical basis for the cultivation of salt-tolerant wheat varieties. 3AA6, Chinese Spring and longdon were used as experimental materials to analyze the indexes of wheat germination energy, germination rate, root length and high salt tolerance of wheat under different concentrations of NaCl solution stress. With the increase of NaCl salt concentration, the germination energy, germination rate, plant height, root length, seedling and root fresh quality of the three wheat varieties decreased gradually. The effect of NaCl on the growth of wheat seedlings at germination stage was mainly to inhibit the growth of roots and buds, in which the growth rate of roots was inhibited most strongly by salt stress, followed by the growth rate of buds, and the inhibition on the number of roots was the least. There were significant differences among varieties and concentrations. According to the performance of the three experimental varieties, Chinese spring showed strong salt tolerance at seedling stage, longdon showed poor salt tolerance, and 3AA6 showed the worst salt tolerance at seedling stage.
Electric Vehicles Charging Management Based on Flexible Load Aggregation
Authors: Xu Ning , Xu Nan , Ling Yunpeng , Liu Qiang , Ma Hongyuan , Zhou Bo , Song Yan , Zhao Zihao
Published: November 2020

As the scale of electric vehicles grows year by year, disorderly charging of EVs brings great challenges to the safe operation of the power grid and charging management of EV charging service providers. The charging service providers play the role of EV aggregators and aggregate the flexible load of EVs through centralized scheduling strategy. Take profit of EV aggregators and variance of power grid as objectives. Based on the direct scheduling pattern, a multi-objective optimal scheduling model was established and solved by Genetic Algorithm (GA). The results show that under the centralized scheduling strategy of EV aggregators, the difference between peak and valley load of electric power system is reduced, the variance of the grid is lower, the benefits of the aggregator are increased and the EV charging costs are reduced.
The Application of the Power Grid Map Intelligent Recognition Technology in the Power Grid Early Warning System
Authors: Xu Ling , Jin Haochun , Wu Xin
Published: November 2020

As the power grid enterprises grow, the relationship between their power grid systems is becoming closer and closer. In the context of industrial development with the energy structure unbalanced, The operation of the power grid becomes more and more complicated, making the power grid system face the technical problems. In this context of technological development, power grid enterprises should follow the pace of the times and integrate intelligent technology into the technological innovation of the power grid to make the ability to predict the power grid fault come true in advance, and the grid map intelligent identification technology is the key technology to support the power grid enterprise to realize informatization and intellectualization. Because most of the original data of the power grid enterprise are stored in various kinds of power grid design drawings, the power grid intelligent identification technology can effectively visualize the data of such power grid drawings, and then realize the intellectualization which early warning technology means.
Analytic Estimation of Three-dimensional Variables for SOC in Iron Phosphate Lithium-ion Battery
Authors: Shao Yiyuan
Published: November 2020

A three-dimensional variable analysis method for the estimation of state of charge (SOC) in iron phosphate lithium-ion battery is proposed. The 100Ah/3.6V iron phosphate lithium-ion battery is regarded as the research object. The relationship between SOC and single factor was got by using the control variable method, and the specific expression was got by using the way of data fitting. Then the situation when multiple factors work together is analyzed, and the function between SOC and the three factors—temperature(T),charging voltage(U) and charging current(I) was got by using the way of data fitting. The feasibility of this method is tested with experimental data, and the error analysis has been done. The results indicate that the SOC estimation error of this method is less than 2%. The two-dimensional surface and contour curve is given when charging voltage(U) is 3.3V and under the condition of different charging current and temperature.
The Cloud Platform of Maintenance and Supervision of Intelligent Potted Plants Based on Arduino
Authors: Yi Yongchao , Shi Henghua
Published: November 2020

To study a simple and practical intelligent potted plant maintenance and supervision cloud platform. The Arduino main controller was used as the under computer to connect the input end of the sensors that collected the potted growth environment factor and the output end of the actuators that regulated the potted growth environment factor. The responsive website system designed and developed by Java is deployed on the cloud server as the upper computer, which can communicate with the lower computer anytime and anywhere, receive, analyze, process and store the data uploaded by the lower computer, and finally respond to the corresponding control instructions to the lower computer, so as to control the working state of the lower computer actuator and achieve the effect of intelligent regulation. When the air temperature collected by the lower machine exceeds the range of 20°C to 30°C, the cooling fan will automatically turn on. When the soil moisture is less than 50%RH to 70%RH, the irrigation pump will automatically irrigate; When the light intensity is greater than 5000LX, the fill light will automatically turn on. Moreover, through the upper computer system, the growth environment factors of potted plants can be observed in real time and manually controlled. This system can be easily supervised and maintained anytime and anywhere by simply deploying and debugging hardware.
Video Recommendation System in Internet Era
Authors: Ruan Zeqi , Chen Yibo , Shen Zhangguo
Published: November 2020

With the development of Internet technology, mining and analyzing a large number of network data has become a hot issue in the industry. Recommendation system can help solve the problem of information overload and provide accurate and fast recommendation information for users. This paper mainly summarizes the current popular recommendation methods, analyzes and compares the meaning of the popular recommendation algorithms. Finally, the application of recommendation algorithm in video industry is introduced.
Optimization on the purification of cassiterite from low-grade cassiterite concentrate
Authors: Dalimunthe D Y , Aldila H , Nuryadin A
Published: November 2020

Optimization on the purification of cassiterite from low-grade cassiterite concentrate has been successfully done. The concentrate used came from the mine site in the Delas area, Bangka Island with an element content of Sn was 31.60% wt and the impurity phases including zircon, ilmenite, quartz, hematite, and monazite. The purification process consists of two steps: mechanical-magnetical separation and acid leaching. The mechanical-magnetical separation step started by color separation (bright sand removal) and removed the magnetic elements of the concentrate subsequently. The content of the Sn element in acid leaching residue increased significantly was up to 90.28% with cassiterite as the dominant phase. The X-ray diffraction (XRD) revealed that the impurity phase of the filtrate after crystallization in all varying pH consists of cassiterite, ilmenite, and ammonium chloride. The solubility of cassiterite concentrate in the acid leaching process is very low at 4.4%, this indicates that the Sn element is difficult to decompose under these conditions.