bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving the absorption rate of thin-film solar cells by composite structures
Authors: Xiao Liang , Zhu Qunzhi 
Published: August 2020

Abstract
In order to improve the absorption rate of polycrystalline silicon thin film cells, an inverted pyramid structure was constructed and the metal nanoparticles were dispersed in the inverted pyramid structure. The absorption rate of the designed composite structure was improved by utilizing the LSPR effect generated by the metal particles, and the change of the absorption rate under different conditions was studied by changing the type, volume fraction and H/P ratio of the periodic structure in the composite structure. By using FDTD software to simulate, this paper finds that the designed inverted pyramid structure has a maximum absorption rate of 20% in the 0.4∼0.55um band. In the composite structure, the dispersed Ag nanoparticles have the best absorption rate in the 0.55∼0.8um band; The volume fraction of the particles in the inverted pyramid structure is found to increase slowly with the increase of volume fraction in a certain band. By changing the ratio of the depth of the inverted pyramid structure to the length of the period, it is found that as the ratio increases, the whole absorption rate will increase to some extent.
Research on the Evaluation Index of Grid Enterprises’ Innovation Index Based on the Same Industry Benchmark
Authors: Chang Yan , Meng Weixuan 
Published: August 2020

Abstract
Based on the in-depth analysis and construction of the technology innovation index and evaluation system that meet the characteristics of power grid enterprises, this paper studies the key technical issues involved in the technology innovation index system of different types of units, such as indicator dimension, indicator type, indicator application, indicator management, application technology route and evaluation results. By constructing an evaluation index system for the technology innovation index of power grid companies, this paper proposes a linkage strategy between the index and technology innovation management, promptly discovers the gaps, diagnoses the cause of the problem, formulates effective countermeasures, provides effective technical support and systematic decision-making basis.
Development status of Anti-corrosion Technology for Power Transmission Tower’s Steel Structure
Authors: Li Xinmei , Zhang Zhongwen , Du Baoslmai , Li Wen , Suo Shuai 
Published: August 2020

Abstract
Higher requirements have been brought forward on the reliability and service life of power transmission tower’s steel structure along with the growing of power generation capacity. This paper analyzes types of corrosion of power transmission tower’s steel structure and the status of research on corrosion and summarizes categories of protective coating for steel and iron materials. Hot-dip galvanizing still remains as the main anti-corrosion method for power transmission tower’s steel structure in China, while the promotion and application of cold spray technology, cold zinc-spraying anti-corrosion technology and weathering resistant steel provide more options of anti-corrosion technologies for power transmission tower. The engineering practice proves that cold zinc-spraying anti-corrosion technology has achieved superior application effects in on-site reinforcement and repair of power transmission tower.
Research and Application on the Key Technology of Ecological Route Selection in the Mountain Area of Northern Guangdong Province
Authors: Zhaoming  , Kaicheng Hua , Zhaoming Wang 
Published: August 2020

Abstract
Based on the express way from Huizhou to Qingyuan section in Guangdong province, this study used the “3S” technology to collect the eco-environmental factors in the mountain area of northern Guangdong province. By quantified analysis, various eco-environmental indexes were assigned and standardized. In addition, the analytic hierarchy process was used to set up the weight of respective index factor, as well as to establish the regional ecological evaluation criteria system of the mountain area in northern Guangdong province. It consisted of two primary criteria and ten secondary criteria. As a result, this method was proved to be an available method on route planning for highways in different areas, which was worthy of promotion and utilization.
Research on battery control method based on matrix rectifier
Authors: Qiu Huidong , Wang Zhao , Cao Qianlei 
Published: August 2020

Abstract
In this paper, a battery control method based on matrix rectifier is developed. The matrix rectifier is used to control the current of the input battery. Compared with the ordinary rectifier, it can greatly reduce the disturbance caused by the grid side and internal parameters and ensure the performance of the battery at all charging stages. In addition to stability, this control method can also compensate reactive power factor, and has better dynamic controllability.
Research Progress of Tap Water Treatment Process
Authors: Wang Yian , Wang Chao , Wang Xinshuai , Qin Hui , Lin Hua , Chhuon Kong , Chen Qi 
Published: August 2020

Abstract
With the rapid decrease of available water resources, to satisfy the needs of human life, it is urgent to treat and purify the water resources of waterworks so that the purified water can satisfy people’s needs. This article mainly elaborates on the current research progress of tap water treatment technology and advanced treatment technology. Provide some basis for the application of social enterprises and scientific research workers.
Design and Application of Automatic Monitoring System based on Static Force Level in Construction of Shield-bored Underneath Metro
Authors: Zhao Wei , Wei Yongbin 
Published: August 2020

Abstract
When metro shield passes through existing operating lines, it is necessary to carry out automatic monitoring of existing lines. In this paper, taking the construction of Changsha Metro Line 4 under the shield of the existing Metro Line 2 as an example, the static level is set up in the construction affected area to monitor the vertical displacement of the track bed automatically. According to the actual situation of the site, a complete set of automatic monitoring system is designed, and a detailed site implementation scheme is formulated. Finally, the deformation data is analysed, and the characteristics of the whole system are summarized.
An Empirical Study on the Exploration of Factors Influencing Customer Satisfaction in Logistics Distribution Service
Authors: Lang Guoling 
Published: August 2020

Abstract
In order to solve the problem of lacking quantitative description method for customer satisfaction of logistics distribution service, based on the China Customer Satisfaction Index model, the three core influencing factors named perceived service quality, expected service quality and brand image were respectively set up with second-level measurement indicators, to explore its impact on customer satisfaction and loyalty, and then construct a customer satisfaction evaluation model for logistics distribution service. The second-order structural equation model is used to analyze the quantitative relationship among the influencing factors, between satisfaction and loyalty, and the effect of each influencing factor on the customer satisfaction of logistics distribution service. Finally, the model is applied to the case analysis of residents in the main urban area of Chongqing. The results show that the perceived service quality (0.63***) and perceived service cost (-0.40***) have the most significant impact on the customer satisfaction of logistics distribution service. Customer satisfaction plays a decisive role in customer loyalty (0.78***).
Experimental study on rock cross-cut coal uncovering with ultra-high pressure hydraulic slotting
Authors: Li Chengcheng 
Published: August 2020

Abstract
In view of the coal seam with low permeability, high gas content, high gas pressure and high outburst risk, the rock cross-cut coal uncovering is carried out, and the Xinji No.1 Coal Mine in Anhui Province is selected as the engineering background. The experimental study on the rock cross-cut coal uncovering by the ultra-high pressure hydraulic slotted crosscut is carried out, and the amount of slag discharged by the hydraulic slotting and the initial velocity of gas emission are investigated. The results show that after the ultra-high pressure hydraulic slotting measures are adopted, the equivalent radius of the uncovering area of the crosscut of coal seam group is increased by 31.9 times, the average initial velocity of gas emission is increased by 3.5 times, the amount of drilling work is reduced by 47%, and the coal is discharged by the slotting. The chip rate is more than 3 ‰ and the coal uncovering time is shortened by 50%. Based on this, the paper tests the effect of the measures in the area of rock cross-cut coal uncovering. The maximum residual gas content is 4.4m3/t, and the maximum residual gas pressure is 0.16MPa. The practice shows that the hydraulic slotting measures can greatly reduce the residual gas pressure (content) of the coal seam. Therefore, the ultra-high pressure hydraulic slotting technology can be used as an effective means for rock cross-cut coal uncovering in high gas and low permeability coal seam, and it can provide important reference and reference for similar conditions.
Research on hydraulic permeability enhancement technology of high, medium and low pressure coal seam with deep well and high ground stress
Authors: Huang Jun , Yi Enbing 
Published: August 2020

Abstract
Aiming at the problem of poor gas extraction, long outburst time and low pre-drainage efficiency in the drilling zone of the floor tunnel through the drilling, the problem of mining excavation replacement is severely restricted. Dingji Coal Mine has carried out ultra-high pressure, medium pressure, and low pressure hydraulic cutting coal seam enhanced permeability gas extraction technology tests. Through continuous exploration and summary, it has achieved remarkable results, maximized extraction, and accumulated rich hydraulic coal Through experience. The results show that: the high-pressure hydraulic coal seam anti-reflection pre-draining unit has a maximum extraction pure volume of 3.1m3/min, the single-hole average extraction pure volume is 0.008m3/min; the medium-pressure hydraulic coal seam anti-reflection pre-extraction unit has a maximum extraction pure volume of 2.2 m3/min, single-hole average extraction pure volume is 0.005m3/min; low-pressure hydraulic coal seam permeability enhancement unit extraction pure volume is maximum 1.3m3/min, single-hole average extraction pure volume is 0.002m3/min. 1351(1)Yunshun’s gas pre-drainage rate reached 65.2% after adopting high-pressure hydraulic coal seam penetration enhancement measures. Through statistical analysis of the anti-burst prediction index during coal tunnel footage, the sensitive index is relatively small, and the effect of pre-draining outburst is better. The lane enters 200m per month. The permeability enhancement technology of hydraulic coal seam has a significant effect on the pre-drainage of gas in high ground pressure outburst coal seam. It provides an effective method for improving the gas pre-drainage and outburst work, which is worthy of in-depth promotion and application.
Frequency Optimization of a Splash Shield Based on Topology Optimization and Reverse Engineering
Authors: Ma Changliang , Chen Yuhao , Wu Lin , Zhang Yue , Yang Li 
Published: August 2020

Abstract
Natural frequency optimization and structure redesign of a bicycle splash shield are completed with the combination of reverse engineering and topology optimization. Based on reverse engineering, the three-dimensional model of the splash shield is established. The maximum first natural frequency is taken as the design objective, the maximum acceleration response and minimum volume are taken as constraints, and the material density is taken as design variable. The variable density method is used to realize the optimization of the splash shield. The results show that: the first natural frequency increased by about 5 times under all constraints after optimization; the combination of optimization design and reverse engineering technology is an effective method of structural design.
A comparative study of machine learning based modeling methods for Lithium-ion battery
Authors: Wang Peng , Fan Jie , Ou Yang , Li Zhe , Wang Yi , Deng Bo , Zhang Yuanwei , Gao Zihao 
Published: August 2020

Abstract
A suitable battery model plays an important role in assisting accurate state estimation for power battery used in electric vehicles. This paper compares the applications of four commonly used machine learning methods (decision tree, k-nearest neighbour, support vector machine and neural network) in lithium-ion battery modeling. The adaptability on working condition, temperature and degradation of above four modeling methods are analysed in detail. Results show that neural network performs best when working condition changes. All the models basically have the same performance on adaptability to temperature. The battery dynamic characteristics change significantly in the aging process and it is necessary to include battery test data under different degradation levels into training sets as to obtain a model that can predict the voltage response accurately in various aging states.
A Simple Hydrothermal Synthesis of Flower-like Titanium Dioxide Microparticles and Their Application in Organic Waste Removal
Authors: Fan Xiaoxu , Wei Aili , Du Juan , Chen Song 
Published: August 2020

Abstract
In this paper, the flower-like titanium dioxide microparticles (F-Ti MPs) were synthesized by a simple treatment of titanium dioxide nanoparticles (Ti NPs) in the NaOH solution via a hydrothermal method. Size and morphology of the resultant samples were characterized with a scanning electron microscopy (SEM) and a transmission electron microscopy (TEM). The results showed that F-Ti MPs had a hierarchical and flower-like morphology with the diameter around 3-5 μm and constructed by numerous nanowires. When incubated with the solution of methylene blue (MB, model organic pollutant), F-Ti MPs showed much stronger adsorption capacity to remove MB from water than Ti NPs.
Isolation and identification of Bacillus subtilisstrain T-3from Soybean and its antagonism against severalcommonpathogenic fungi
Authors: Wang Youmin , Jiang Linhong , Liu Ji , Lu Qiyu , Zheng Qi , Guo Qiliang , Tu Caihong , Zhang Zhengzhou 
Published: August 2020

Abstract
An antagonistic bacteriastrain was isolated and purified from soybean using Alternaria alternataasindicator. There sultsofmorpho logical identification and 16S rDNA sequencing analysis showed the antagonistic bacteria belongs to Bacillus subtilis. The culture solution of this strain showed an inhibition rate of 73.19% against A. alternata. The strain also showed strong antagonistic action againstBotrytis cinerea, Fusarium graminearum, Lasiodiplodiatheobromae, Botrytis erythraea, Mucor circinelloidesand Aspergillus niger.
Study and Practice of stabilized injection technologies in injection well life cycle
Authors: Yan Yu , Guo Shuzhao , Cai Qingqin , Yang Taiwei , Yang Yang , Du Yuqiao 
Published: August 2020

Abstract
The technologies to steady pressure and injection rate and that to reduce pressure and increase injection rate are along with multiple stages of secondary and tertiary oil recovery. The ongoing injection process will subject most wells to pressure rise, reduced injection volume, fouling and plugging of reservoir, and corrosion of tubing string. In this paper, a portfolio of feasible measures can be provided for the steady injection in injection well life cycle by taking a closer look at cleaning & anti-swelling & anti-migrating technology, interlayer pressure influence balancing technology, slow releasing solid acid unpowered acidizing technology, low damage & low reaction rate acidizing technology, and degrading & acidizing technology for polymer injection wells.
Theory of the thickness dependence of the charge density wave transition in 1 T-TiTe2
Authors: Sky Zhou Jianqiang , Bianco Raffaello , Monacelli Lorenzo , Errea Ion , Mauri Francesco , Calandra Matteo 
Published: August 2020

Abstract
Most metallic transition metal dichalcogenides undergo charge density wave (CDW) instabilities with similar or identical ordering vectors in bulk and in single layer, albeit with different critical temperatures. Metallic 1 T-TiTe2 is a remarkable exception as it shows no evidence of charge density wave formation in bulk, but it displays a stable 2 × 2 reconstruction in single-layer form. The mechanism for this 3D-2D crossover of the transition is still unclear, although strain from the substrate and the exchange interaction have been pointed out as possible formation mechanisms. Here, by performing non-perturbative anharmonic calculations with gradient corrected and hybrid functionals, we explain the thickness behaviour of the transition in 1 T-TiTe. We demonstrate that the CDW in single-layer TiTe2 occurs from the interplay of non-perturbative anharmonicity and an exchange enhancement of the electron-phonon interaction, larger in the single layer than in the bulk. Finally, we study the electronic and structural properties of the single-layer CDW phase and provide a complete description of its electronic structure, phonon dispersion as well as infrared and Raman active phonon modes.
Effect of heat treatment on the microstructure and properties of in-situ Mg2Si reinforced hypereutectic Al-18%Si matrix composites
Authors: Xu Kai , Wang Jianjun , Zhang Shuquan 
Published: August 2020

Abstract
The in situ preparation of particle reinforced metal matrix composites (PRMMCs) can prevent the particle surface from pollution, improve the wettability of particles and matrix metals, and reduce the production cost of composites. In this paper, in situ Mg2Si reinforced hypereutectic Al-18%Si matrix composites were prepared by adding an appropriate amount of magnesium. However, the Mg2Si enhanced phase often has developed dendrites, which are easy to cause stress concentration and cut apart the matrix, resulting in the decrease of the mechanical properties of the material. Therefore, in this study, necessary solution treatment and aging treatment were carried out, and the effect of heat treatment on the microstructure and properties of the prepared composites was discussed. The results showed that the in situ Mg2Si reinforced Al-18%Si matrix composites with an ideal microstructure could be prepared by adding 4% Mg. After solution treatment at 545 °C for 8 h and aging treatment at 170 ± 2 °C for 8 h, the coarse dendrites of Mg2Si were broke and granulated, which improved the strength, hardness and wear resistance of the composites. Compared with the common as cast hypereutectic Al-18%Si alloy, the hardness and the strength of the prepared composites were increased by 30% and 46%, respectively. Besides, the granulation process of the in situ Mg2Si phase was explained with the Gibbs-Thomson theorem in this paper.
One-step hydrothermal preparation and characterization of ZnO–TiO2 nanocomposites for photocatalytic activity
Authors: Sun Yan , Gao Yue , Zhao Binshan , Xu Sheng , Luo Chunhui , Zhao Qiang 
Published: August 2020

Abstract
ZnO–TiO2 nanowire composites with different Zn/Ti molar ratios were prepared by one-step hydrothermal process. The crystal structure, surface morphology and chemical state of the samples were characterized by XRD, SEM, TEM and XPS. The effect of ZnO content on the photocatalytic performance was investigated by degradation of Rhodamine B dye under xenon lamp illumination. The XRD result indicated that Zn/Ti molar ratio significantly affected the crystallinity and phase composition of ZnO–TiO2 composites. SEM images showed that ZnO nanoparticles of smaller size were dispersed on the surface of TiO2 nanowires and aggregated in the TiO2 framework. The optimal Zn/Ti molar ratio of 5% was obtained with highest photocatalytic activity, which could be attributed to the superior charge separation ability.
Improving the generative performance of chemical autoencoders through transfer learning
Authors: Iovanac Nicolae C , Savoie Brett M 
Published: August 2020

Abstract
Generative models are a sub-class of machine learning models that are capable of generating new samples with a target set of properties. In chemical and materials applications, these new samples might be drug targets, novel semiconductors, or catalysts constrained to exhibit an application-specific set of properties. Given their potential to yield high-value targets from otherwise intractable design spaces, generative models are currently under intense study with respect to how predictions can be improved through changes in model architecture and data representation. Here we explore the potential of multi-task transfer learning as a complementary approach to improving the validity and property specificity of molecules generated by such models. We have compared baseline generative models trained on a single property prediction task against models trained on additional ancillary prediction tasks and observe a generic positive impact on the validity and specificity of the multi-task models. In particular, we observe that the validity of generated structures is strongly affected by whether or not the models have chemical property data, as opposed to only syntactic structural data, supplied during learning. We demonstrate this effect in both interpolative and extrapolative scenarios (i.e., where the generative targets are poorly represented in training data) for models trained to generate high energy structures and models trained to generated structures with targeted bandgaps within certain ranges. In both instances, the inclusion of additional chemical property data improves the ability of models to generate valid, unique structures with increased property specificity. This approach requires only minor alterations to existing generative models, in many cases leveraging prediction frameworks already native to these models. Additionally, the transfer learning strategy is complementary to ongoing efforts to improve model architectures and data representation and can foreseeably be stacked on top of these developments.
Associations of Occupational Styrene Exposure With Risk of Encephalopathy and Unspecified Dementia: A Long-Term Follow-up Study of Workers in the Reinforced Plastics Industry
Authors: Iversen Inge Brosbøl , Mohr Mette Skovgaard , Vestergaard Jesper Medom , Stokholm Zara Ann , Kolstad Henrik Albert 
Published: August 2020

Abstract
Exposure to industrial solvents has been associated with encephalopathy. Styrene is a neurotoxic industrial solvent, and we investigated the long-term risk of encephalopathy and unspecified dementia following styrene exposure. We followed 72,465 workers in the reinforced plastics industry in Denmark (1977–2011) and identified incident cases of encephalopathy (n = 228) and unspecified dementia (n = 565) in national registers. Individual styrene exposure levels were modeled from information on occupation, measurements of work place styrene levels, product, process, and years of employment. Adjusted analyses were performed using a discrete survival function. A positive trend for encephalopathy (P &lt; 0.01) and a negative trend for unspecified dementia (P = 0.03) were seen with cumulative styrene exposure accrued during the recent period of up to 15 years. For unspecified dementia and the combination of unspecified dementia and encephalopathy, a positive trend was indicated when applying a 30-year exposure lag (P = 0.13 and P = 0.07). The risk patterns seen following recent exposure probably reflect diagnostic criteria for encephalopathy requiring recent industrial solvent exposure and referral bias rather than association with styrene exposure, while the increasing risk observed for unspecified dementia and the combination of encephalopathy and unspecified dementia following distant exposure indicates an increased risk of dementia following styrene exposure with a long latency period.