bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of 3D Modeling in Real Estate and Land Integration Project
Authors: Han Qi , Yuan Xitun , Yang Xiongfei , Zhang Hang , Wen Yongxiao 
Published: May 2021

Abstract
With the development of science and technology, surveying and mapping technology has also advanced by leaps and bounds. More and more people in related industries have begun to pay more attention to the application of drone tilt photogrammetry to the surveying and mapping industry, which has greatly improved the progress of surveying and mapping projects. This photography technology has gradually become an indispensable part of the surveying and mapping industry due to its advantages of speed, efficiency, flexibility, and low cost. This article is aimed at the integration of premises and land project, using a drone platform equipped with 5 lens cameras and shooting from 5 directions at the same time, that is, through 1 vertical shooting lens and 4 tilting lenses to obtain ground surface images, to achieve a large overlap of multiple angles For viewing angle, the requirement for overlap is that the heading overlap is at least 60%, and the side overlap is 30%. This article uses ContextCapture Center Master software to perform three-dimensional modeling of the acquired images and obtain orthophoto results. The three-dimensional model is loaded into the EPS software for collection. The buildings, eaves, balconies and other buildings in each parcel of land are collected, and they are finally obtained. This technology greatly improves the work efficiency of the real estate integration project.
The Application of the Paradigm of Soft Set Logic Formula in Recommendation System
Authors: Lu Xiao , Liu Jingwen 
Published: May 2021

Abstract
With the development of science and technology, information has shown explosive growth. It is difficult for information consumers to find useful information from a large amount of information. This article combines soft set theory and propositional calculus to propose a recommendation algorithm that meets the requirements of users. The algorithm describes user requirements in terms of soft set logic formulas and gives reasonable recommendation results by solving the normal form of the sub-formula and its realization in the corresponding soft subset. Numerical example shows that the algorithm can be successfully applied to the problem of song recommendation.
A smarter algorithm-IFR3+FFR in wireless network to optimize frequency allocation
Authors: Fu Zanwen , Zhou Rui 
Published: May 2021

Abstract
All latest technologies require frequency channels to be allocated intelligently so that interference can be avoided. Nowadays, it is still quite challenging for people to propose an effective method to enhance the frequency allocation system, which reduces interference further and allows more users to utilize the base station at the same time. Here we describe the method of improving the frequency allocation system-IFR3 (Integer frequency reuse) plus FFR (fractional frequency reuse) in a nineteen-cell network. We simulate the system based on MATLAB, comparing capacity results against different parameters. We draw some useful conclusions after the simulation. When the number of frequencies increases, average network capacity also increases. When SNR increases, average network capacity increases at the beginning, and then at a certain critical point, it starts to decrease. Thereby, it is required to find the best system with both the appropriate number of frequencies and SNR to maximize the network capacity. As for users who are in the distance, the interference will be large when using IFR1 but small if using IFR3. Therefore, finding the best reuse factor when using FFR is indispensable. Smaller transmit power should be allocated to users in the cell’s inner area, and larger transmit power allocated to users in the outer area of the cell. This system is more advanced and capable of reducing interference efficiently.
The investigation of travelling wave solutions to some coupled space-time fractional differential equations in fluids
Authors: Zhao Meimei 
Published: May 2021

Abstract
Solutions of nonlinear coupled fractional differential equations (FDEs), namely, the space-time fractional coupled Burgers’ equations, coupled MKdV equations, and coupled KdV equations are obtained by the improved fractional sub-equation method in the sense of Jumarie’s modified Riemann-Liouville derivative. The form of these solutions suggests ansatz suitable for finding solutions of much more general FDEs of coupled type.
Optimization of Marine Debris Collection Routing for Solar and Diesel Hybrid Power Vessels
Authors: Tao Ling , Duan Gang , Wei Yuejiao , Chen Xiaohui , Fan Tao 
Published: May 2021

Abstract
With the increase of marine debris and the serious destruction of the ecological environment, marine debris collection has become an urgent task facing us. In this paper, the logistics network is used to optimize the routing of marine debris collection vessels. In order to reduce carbon emissions, we choose to use new energy waste collection vessels which have solar and diesel hybrid power. The objection of this paper is to minimize the total cost. The constraints include time window, vessel capacity and carbon emissions, which are solved by large-scale neighborhood search algorithm. Taking the East China Sea as an example, the results show that the total cost and total time can be saved by 20.58% and 17.43% respectively by choosing the best debris collection time. Under different environmental conditions, when the photovoltaic penetration of solar hybrid vessel reaches 75%, the cost can be saved by 22.14%, and the carbon emission can be reduced by 74.7%. Through the analysis of different types of vessels, it is found that 11.85% of the cost can be saved by selecting the best vessel type.
Short-term Demand Forecasting of Shared Bicycles Based on Seasonal Grey Markov Model
Authors: Liu Hengzi , He Yulong , Song Tailong , Xu Peng 
Published: May 2021

Abstract
According to the characteristics of periodicity, nonlinearity and randomness of shared bicycle riding data, a seasonal grey Markov model was proposed. In the new prediction model, the seasonal GM (1,1) model was used to get the prediction results firstly. Then, Markov model was used to modify the prediction residual. In the process of residual correction, the residual sequence was selected according to the new information priority principle, and the residual was modified by the expectation of the median value in the state interval, which improves the prediction accuracy of the model. Finally, the model was applied to the demand forecast of the Citi Bike shared bicycles in New York, the first three weeks of June 2019 during the Saturday peak hours. The numerical results show that the mean absolute percentage error (MAPE) of predicted value of seasonal grey Markov model is 2.72%, which is superior to the traditional GM (1,1) model, seasonal GM (1,1) model and grey Markov model.
The Radon Transformation and Its Application in Tomography
Authors: Fang Kaile 
Published: May 2021

Abstract
In a mathematical setting, the radon transformation is in the form of integration, which was proposed by Johann Radon in 1917. Radon transform has been applied in multiple fields of study, especially in medical research. The Radon transform can represent the data obtained from tomographic scans, so the inverse of Radon transform can be used to reconstruct the original projection properties, which is useful in computed axial tomography, electron microscopy, reflection seismology, and in the solution of hyperbolic partial differential equations. This paper summarizes the indispensable role of the radon transformation and gives a simple proof of the back-projection formula.
A two-dimensional SiGeO monolayer with high electron mobility and negative Poisson’s ratio
Authors: Lan Zhi-Shui , Liu Chun-Sheng , Yan Xiao-Hong 
Published: May 2021

Abstract
In this paper, we perform the first-principle calculations to explore the electronic and mechanical properties of two-dimensional SiGeO. SiGeO is an indirect band gap semiconductor with a gap of 1.29 eV and a high electron mobility of 1.70×103 cm 2V−1 s−1. The uniaxial strain can trigger the indirect-to-direct band gap transition. Moreover, SiGeO exhibits an extraordinary auxetic property, and its in-plane negative Poisson’s ratio is three times larger than that of borophenes. These properties would endow two-dimensional SiGeO with great potential in the application of electromechanical devices.
Study on flame retardant properties of Plywood Made with Eucalyptus, Birch and Poplar Wood
Authors: Pingli Li , Xiang Zhang , Chaolu Yin , Fuxin Fu 
Published: May 2021

Abstract
In this work, the laboratory-made flame-retardant polyvinyl alcohol adhesive was used to prepare flame-retardant plywood made with eucalyptus, birch and poplar respectively, and the effect of tree species on the Thermogravimetric behavior and flame-retardant properties of flame-retardant plywood was studied. Thermogravimetric behavior of the flame-retardant plywood prepared by eucalyptus, birch and poplar showed that poplar plywood had highest thermostability.The results of the SBI test are consistent with the results of the LOI test and Thermogravimetric analysis, both indicated that the tree species had a significant effect on the flame-retardant properties of the flame-retardant plywood, the flame-retardant plywood made with poplar veneer has the highest LOI value, lowest HRR value and lowest THR value.
Analysis of the impact of various charging modes on grid connection of electric vehicles
Authors: Zhang Zeheng , Li Weihua , Ran Youhong , Liu Dianxiang 
Published: May 2021

Abstract
In recent years, as a new type of green energy, electric vehicles have developed rapidly. However, the charging behavior of electric vehicles is uncertain in time and season. A large number of electric vehicles connect the load with the power grid through different charging methods, which leads to the load redistribution of the power grid. Therefore, the research on the impact of load on distribution network under different conditions can give full play to the role of electric vehicles in peak load regulation and valley filling of power grid, which is of great significance to adjust charging behavior and improve power supply reliability of power grid.
Firstly, according to the factors that affect the charging load of electric vehicles, the charger models under different charging modes and IEEE-14 node distribution network models are established. In addition, considering the daily living habits of the citizens, this paper proposes two normal distribution models to study the load distribution law of electric vehicles connected with the distribution network in different periods, and draw a one-day load curve. The peak load caused by people’s charging behavior in one day is explained and analyzed. Finally, the effects of different seasons on charging behavior and charging efficiency are simulated, and the load curves of different seasons are drawn, and the results are analyzed comprehensively.
Design of voice temperature control faucet based on STM32 MCU
Authors: Ruijie Yang , Yan Wang , Fan Yi , Xudong Han 
Published: May 2021

Abstract
Everyone has a different perception of water temperature. Considering the living needs of people today, a faucet that can adjust the water temperature intelligently has a good research value. Different from traditional products, the voice temperature control faucet designed in this paper can not only automatically regulate the temperature, but also keep a constant temperature. When the hot water supply is insufficient, it can give an alarm in advance to remind the customer to complete the water use as soon as possible. This design uses the existing speech signal module, it can convert the speech signal into the single chip microcomputer input signal, and then through the single chip microcomputer control of the motor rotation, so as to control the opening of cold and hot water very well. Through the effective combination of temperature sensing technology, speech recognition algorithm and MCU, the goal of intelligent temperature control can be achieved.
One-pot synthesis of gold nanocubes
Authors: Wen Xin , Zhang Lei , Tian Jiangwei 
Published: May 2021

Abstract
Precious metal nanomaterials have the advantages of low toxicity, optical stability, water-solubility, good biocompatibility and strong photoluminescence. In this paper, by controlling the proportion of the reaction substance, the amount of reducing agent, pH value, reaction temperature and reaction time, we synthesized the fluorescent gold nanocubes with uniform size and morphology, good fluorescence signal and excellent biocompatibility. It provides some guidance for the shape control of nanocubes synthesis.
Research on Static Rolling Angular Stiffness of Linear Motion Ball Guide
Authors: Wang Tianyu , Jiang Shuyun 
Published: May 2021

Abstract
The purpose of this study is to investigate the static rolling angular stiffness characteristics of the linear motion ball guide (LMBG). Firstly, a deformation compatible equation of the LMBG under rolling moment is derived by deformation compatible hypothesis, and then the model of static stiffness for the LMBG is developed using the Hertz contact theory, the deformation compatible equation and force equilibrium equation Finally, the static rolling stiffness of the LMBG was analyzed systematically via a case study, and the simulated results were verified by the experimental data
Research on the Pre-sintering Temperature During the Preparation of (1-x) NBT–xBaTiO3 Serial Ceramics
Authors: Yu Jinghua , Feng Qianwen 
Published: May 2021

Abstract
According to the formula of (1-x)NBT-xBaTiO3, this study selects different composition points and measures the volume density and piezoelectric property of the samples at different pre-sintering temperatures, ultimately determining the optimal pre-sintering temperature. Experiments show that for ceramic based on (1-x)NBT-xBaTiO3, when x<0.06 the optimal pre-sintering temperature should be 900°C; when x≥0.06, it should be 950°C.
Research on Unmanned Static Trajectory
Authors: Xie Peng Yang , Chen Ling Xuan , Hua Ma Shuai , Miao Tong Sheng 
Published: May 2021

Abstract
With the development of science and technology, the intelligence of society is getting higher and higher. The development of safe and reliable intelligent driving has become one of the important topics in today’s era. As a high-tech complex integrating environmental awareness, planning decision-making, control execution and information interaction, driverless cars are increasingly becoming the needs of the times.[1] How to accurately extract effective information to provide safe and reliable control instructions for the next decision-making of vehicles in complex multi-source and heterogeneous environment is the technical basis of intelligent driving.
In this paper, a certain amount of research has been done on lane change trajectory planning in different environments. In the aspect of static driving environment, a lane-changing trajectory planning method based on the fifth-order Bessel curve is planned. The physical problems are transformed into optimization problems of coordinate points of Bessel curve expression by planning the left and right boundaries of feasible region through lane-changing trajectory. [2]In the aspect of dynamic driving, based on the model predictive control theory, a lane-changing trajectory optimization method for multi-lane and multi-surrounding vehicles is proposed.
Recent progress in drug delivery and cancer theranostic built from metal-organic framework
Authors: Yang Peng , Chen Zhuang , Liu Shaojie , Qiao Chaoqiang , Xia Yuqiong , Wang Zhongliang 
Published: May 2021

Abstract
With the improvement of living standards, cancer has become a great challenge around the world during last decades, meanwhile, abundant nanomaterials have been developed as drug delivery system (DDS) or cancer theranostic agents (CTAs) with their outstanding properties. However, low multifunctional efficiency and time-consuming synthesis limit their further applications. Nowadays, green chemistry, in particular, the concept of atom economy, has defined new criteria for the simplicity and efficient production of biomaterials for nanomedicine, which not only owns the property of spatio-temporal precision imaging, but also possess the ability to treat cancer. Interestingly, metal-organic framework (MOF) is an excellent example to meet the requirements behind this concept and has great potential for next-generation nanomedicine. In this review, we summarize our recent researches and inspiring progresses in designing DDS and CTA built from MOF, aiming to show the simplicity, control, and versatility, and provide views on the development of MOF-based nanomedicine in the future.
Nitrogen dynamics in cropping systems under Mediterranean climate: a systemic analysis
Authors: Lassaletta Luis , Sanz-Cobena Alberto , Aguilera Eduardo , Quemada Miguel , Billen Gilles , Bondeau Alberte , Cayuela Maria Luz , Cramer Wolfgang , Eekhout Joris P C , Garnier Josette , Grizzetti Bruna , Intrigliolo Diego S , Ruiz Ramos Margarita , Romero Estela , Vallejo Antonio , Gimeno Benjamín S 
Published: May 2021

Abstract
Worldwide, Mediterranean cropping systems face the complex challenge of producing enough high-quality food while preserving the quantity and quality of scarce water for people and agriculture in the context of climate change. While good management of nitrogen (N) is paramount to achieving this objective, the efficient strategies developed for temperate systems are often not adapted to the specificities of Mediterranean systems. In this work, we combine original data with a thorough literature review to highlight the most relevant drivers of N dynamics in these semi-arid systems. To do so, we provide an analysis at nested scales combining a bottom-up approach from the field scale, with a top-down approach considering the agro-food system where cropping systems are inserted. We analyze the structural changes in the agro-food systems affecting total N entering the territory, the contrasting response of yields to N availability under rainfed and irrigated conditions in a precipitation gradient, the interaction between N management and climate change adaptation, the main drivers affecting the release of Nr compounds (nitrate, ammonia, nitric oxide and nitrous oxide) compared with temperate systems and finally, the behavior of N once exported to highly regulated river networks. We conclude that sustainable N management in Mediterranean cropping systems requires the specific adaptation of practices to particular local agro-environmental characteristics with special emphasis on water availability for rainfed and irrigated systems. This approach should also include a systemic analysis of N input into the territory that is driven by the configuration of the agro-food system.
The impact of air pollution alert services on respiratory diseases: generalized additive modeling study in South Korea
Authors: Hahm Yeankyoung , Yoon Heeyeun 
Published: May 2021

Abstract
To reduce human exposure to particulate matter (PM), governments have enacted various preventive measures, to which a warning system is central. To the best of our knowledge, we are the first to assess the effectiveness of mobile-based warning systems on respiratory health outcomes, examining two types of

P

M

2.5

(particles less than

2.5
μ

m

in diameter) alerts via text messaging systems: Wireless Emergency Alert (WEA) and Air Quality Information Text (AIT) as employed in South Korea from January 2015 to October 2019. We used a generalized additive model to control the non-linear relationship between the

P

M

2.5

level and the number of hospital visits and admissions for four respiratory sicknesses—chronic obstructive pulmonary disease, respiratory tract infection, asthma, and pneumonia—while deciphering how such visits and admissions are reduced by the warning systems. Our results found that both systems reduced the number of new patients with the four sicknesses at a 5% statistical significance level. Of the two, WEA was found to be more effective than AIT. The former reduced the number of new patients by 16.4%, while the latter did so by 2.8%. WEA is for everyone with a cell phone connection. By sending simple and direct alerts to a broader range of people, WEA would help people to reduce the chance of short-term exposure to PM in general. The findings provide evidence with policy implications regarding air pollution adaptation.
Deformed hopfion-Rañada knots in ModMax electrodynamics
Authors: Dassy Clémentine , Govaerts Jan 
Published: May 2021

Abstract
Source-free so-called ModMax theories of nonLinear electrodynamics (NLE) in the four dimensional Minkowski spacetime vacuum are the only possible continuous deformations—and as a function of a single real and positive parameter—of source-free Maxwell linear electrodynamics (MLE) in the same vacuum, which preserve all the same Poincaré and conformal spacetime symmetries as well as the continuous duality invariance of Maxwell’s theory. Null field configurations of the latter however, including null electromagnetic knots, are singular for the Lagrangian formulation of any spacetime Poincaré and conformal invariant theory of NLE. In particular null hopfion-Rañada (HR) knots are a distinguished and fascinating class on their own of topologically nontrivial solutions to Maxwell’s equations. This work addresses the fate of these configurations within ModMax theories. A doubled class of ModMax deformed HR knots is thereby identified, each of which coalescing back in a continuous fashion to the original HR knot when the nonlinear deformation parameter is turned off.
Spatial Groundwater Modelling of Micro Watersheds – A case study at Junewani watershed, Hingna Taluk, Nagpur, Maharashtra
Authors: Biroju Priyesh , Katpatal Y B 
Published: May 2021

Abstract
A model is a simplified representation of the complex natural world. The groundwater model provides a quantitative framework for synthesizing field information and for conceptualizing hydrogeological purposes. The present study aims to utilize remotely sensed data, Geographical Information System (GIS), and limited flow modeling to identify the groundwater recharge management practices carried out in the Junewani watershed of the Nagpur district. In this study, Modflow-NWT, in conjunction with spatial analyses, is used for modeling Groundwater flow in Junewani Watershed located at 78.90°E and 21.03°N in Nagpur District, Maharashtra. Since minimal data on flow parameters are available and aquifer systems are also heterogeneous, water level data observed from dug wells has also been used to generate the groundwater flow directions. The study area consists of 1st, 2nd and 3rd order streams and is covered with Black cotton soil and Vesicular Basalt underneath. Watershed boundary conditions, elevation details, drainage patterns, layer properties, permeability values, average rainfall, etc. are given as input for the model. The initial input data has been procured from GSDA Nagpur and through field observations. This study discusses the micro watershed groundwater modeling carried out mainly in a spatial environment supported by results of limited flow modelling, but the results and insights from this study will help in better understanding the GW flow regime after the recharge decisions were taken and the recharge practices were operated. It has been observed that recharge practices in surface dams and desilting have been beneficial at some places, while groundwater has decreased at other places. Thus it helps in decision making regarding the development of GW recharge and utilization.