bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

AbstractBy 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.