bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Analysis of the Impact on the Electricity Market of Fully Liberalizing the Power Generation and Utilization Plans for Operating Power Users
Authors: Yang Jianhua , Liu Dunnan , Bai Shunming , Li Pengfei , Dong Zhixin 
Published: July 2020

Abstract
In June 2019, the National Development and Reform Commission announced the “Notice on the Requirements for fully liberalizing the power generation and utilization plans for operating power users”, which means that the electricity generation plan for operational electricity users will be fully liberalized, except for residents and public utilities, other power users can participate in market-oriented power transactions. Therefore, it is urgent to study the impact of the introduction of policies on electricity market operations and electricity market transactions. First of all, this paper studies the process of opening up the electricity generation and utilization plans of foreign power users. Then, the impact of the policy on the electricity market is analyzed from the dimensions of market transaction size, market transaction entities, and market operation supervision. Finally, we analyzed the impact of the policy on the electricity market trading system from trading and management perspective.
Study on surface modification of attapulgite
Authors: XiangLi  , RuiYang  , Wang Detang , GanLi  
Published: July 2020

Abstract
In this study, the surface modification of attapulgite was studied. Firstly, the experiment of acid roasting was carried out. The morphology and composition of attapulgite before and after modification were systematically studied by means of SEM, TEM and FTIR. The results showed that the optimal experimental conditions for modification were hydrochloric acid acidification, the concentration was 1 M, the acidification time was 4 h, and the temperature was 75 °C.The thermal activation conditions were determined to be 420 °C roast for 2 h. Attapulgite was successfully modified, and its specific surface area ratio increased greatly, from 144.29 m2g−1 to 187.87 m2g−1. In this study, the attapulgite with high specific surface area prepared is of great significance for the further use of attapulgite with high added value.
Synthesis and performance of soybean oil derived amide inhibitor
Authors: Zeng Weiguo , Jia Haomin , Xu Dongxiao , Wang Hongmei , Wang Hao , Li Xiaorong 
Published: July 2020

Abstract
In this paper, vegetable oil-derived amide corrosion inhibitor (SDLTF) was synthesized using soybean oil, diethylenetriamine and formaldehyde as raw materials. The effect of temperature and the amount of corrosion inhibitor on the corrosion inhibition effect was investigated by weightlessness test, and the inhibition performance, adsorption behavior and mechanism of SDLTF on A13 steel in 5% hydrochloric acid were studied by adsorption model and thermodynamic parameters. The results show that when the amount of corrosion inhibitor is 50mg / L, the corrosion inhibition efficiency is the highest, which can reach 91.20%. By simulating the isothermal curve, it was found that SDLTF conforms to the law of Langmuir isotherm adsorption.
Promoting effects of corn straw and exceed sludge as carbon sources on denitrification of constructed wetlands
Authors: Chunjian LYU , Song Yonghui , Gao Hongjie , Yao Chuanying , Lu Jinxia , Li Xiaojie 
Published: July 2020

Abstract
As the low C/N ratio of effluent from wastewater treatment plant, the advanced treatment of constructed wetlands (CWs) on the effluent is often unsatisfactory, especially for the removal of N. In order to increase the N removal efficiency, this paper tested three kinds of carbon sources acid and alkali treated straw, alkali treated straw and exceed sludge for promoting the denitrification of CWs. The results showed that alkali treated straw performed the strongest carbon release ability (0.43mg?g-1?h-1) and the maximum C/N ratio (27.3). While acid and alkali treated straw’s carbon release ability and C/N ratio were 0.37 mg?g-1?h-1 and 12.8, exceed sludge’s carbon release ability and C/N ratio were 0.37 mg?g-1?h-1 and 8.4. In order to improve the C/N ratio in CWs to 5/1, 450g alkali treated straw and exceed sludge were added into tide flow wetlands (TFCWs) and subsurface flow wetlands (SSFWs) respectively to test the improvement of denitrification. Compared with the control groups, the N removal of CWs with carbon sources were significantly improved. CWs with alkali treated straw showed better removal effects of N than CWs exceed sludge. The analysis results of the first-order kinetic process suggested that the denitrification rate constants of TFCW control group, TFCW with exceed sludge and TFCW with alkali treated straw were 0.126, 0.262 and 0.345, respectively. The denitrification rate of TFCW with alkali treated straw was 2.74 times of TFCW control group, and 1.32 times of TFCW with excess sludge. This study has contributed to understand the possibility of straw and exceed sludge as the carbon sources to strengthen the denitrification in CWs.
Six-Degree of Freedom Mathematical Dynamic Model of a Light-Sport Aircraft
Authors: Chinvorarat Sinchai , Watjatrakul Boonchai , Nimdum Pongsak , Sangpet Teerawat , Soontornpasatch Tosaporn , Vallikul Pumyos 
Published: July 2020

Abstract
The paper considers the applications of six-degree of freedom mathematical model of a light-sport aircraft and analytically reveals aircraft dynamic response both longitudinal and lateral-directional stability. The model composes of both the kinematics equations of motion and the kinetics equations of aerodynamic forces and moments, and it is known as the aerodynamic model equations. Simulation results show responses of the perturbed dynamic system at the trim condition, and indicate the dynamic stability of both short-period pitching oscillation and phugoid in longitudinal axes. The spiral, roll subsidence, and dutch roll modes in lateral-directional axes are dynamical stable as well. These are essential to understand and evaluate the dynamic behavior, stability, safety and other aspects of the designed aircraft through mathematical model before conducting operational flight test.
Simulation of Light-Weight Truck LF3070G1’s Tire Dynamics
Authors: Quang Nguyen Thanh , Nguyen Xa Hoi , Quan Le Hong , Anh Le Van , Hoa Tran Phuc , Tan Nguyen Tien 
Published: July 2020

Abstract
Being accurately analyses of the dynamics of automotive tires is essential for a wide range of technologies. There are two primary aims of this study: 1. To investigate the use of a Finite Elements Method (henceforth, FEM) in the light-weight truck’ tire (LF3070G1) 2. To implement in Ansys Workbench software in the simulation. Two analyses of the tire dynamics were used. The first analysis was used when the tire is statically balanced between supporting the vehicle weight and the internal air pressure. The second analysis includes the dynamical balance while the vehicle is operating at different weight loads. Each analysis includes two parts. The first part was the mode shapes and the natural frequencies of the tire since it has an influence on the tire’s stiffness and damping constant. The second analysis employed numerical simulations and it was carried out to determine the tire’s time-dependent maximum deformation.
Numerical Simulation of Skin Formation: Modeling of Scale Peeling
Authors: Oba Shu , Nagayama Katsuya 
Published: July 2020

Abstract
Skin is formed by cell division, and the cells eventually mature into corneums and drop off. This process is known as turnover. With normal turnover, skin disease rarely occurs. However, the disturbance of turnover leads to skin inflammation and associated effects such as scale formation. The mechanisms that underpin scale formation are not fully understood. This study analyses the impact of scale formation in atopic dermatitis using a numerical simulation. The numerical simulation model of the skin was constructed by theoretically setting the main parameters i.e. transepidermal water loss (henceforth TEWL) of atopic dermatitis, thereby allowing the elucidation of the mechanism of scale formation. As a result, thick corneum and scale of atopic dermatitis were successfully modeled. In addition, the variation of desmosome distribution in stratum corneum was shown to be associated with scale formation.
Influence of the Wavelength of Cut-In Sinusoidal Trailing Edge Shape to the Aerodynamics Characteristic of the Airfoil
Authors: Rattanasiri P , Perrin R 
Published: July 2020

Abstract
The influence of the cut-in sinusoidal trailing edge shape with different wavelengths on the aerodynamics characteristic has been parametrically investigated by numerical unsteady RANS simulation, open-source code; Code_Saturne. The results were compared with the benchmark baseline and blunt profile trailing edge shape. The geometry of NACA0012, NACA4412 and NACA4415 airfoil with a small modification to obtain a zero thickness trailing edge are selected as a baseline profile. The blunt trailing edge is a cut-offs at the trailing edge for 10% of the chord. Three wavelengths of sinusoidal trailing edge shape at 0.25c, 0.50c and 0.75c with 0.05c amplitude are selected, where c is the airfoil chord length. The flow is studied at high Reynolds numbers (Re) 106 for the angle of attack 5 degrees. The results show the change in lift and drag characteristics with changing of NACA profiles and the modified trailing edges.
A study of Rate of Temperature Change during Tire Curing Using Computational Fluid Dynamics
Authors: Thamsamerdee Watthanai , Khaothong Kunthakorn , Priyadumkol Jetsadaporn 
Published: July 2020

Abstract
The most important procedure in tire manufacturing is curing. The purpose of the curing is to apply high pressure and temperature over a period of time to unvulcanised rubber so that the rubber is cured to the point of best material properties. In this research, fluid flow analysis was considered to understand airflow pattern in an autoclave for a better quality of the product. We present preliminary results of the temperature distribution of heat transfer in an autoclave using Computational Fluid Dynamics package, OpenFOAM. The turbulent model was verified by comparison with the experimental results to obtain an accurate heat transfer coefficient. It was found that the error was 12%. The results from the simulation and experiments are in good agreement. Consequently, this turbulent model can be used to determine the heat transfer coefficient to achieve a better and more efficient curing process.
Evaluation of Outer Structure Solar Reflection Characteristics of Highly Reflective Material in Consideration of Human Thermal Sensation
Authors: Yoshida A. , Kinoshita S. , Shimazaki Y. 
Published: July 2020

Abstract
As a solution to the influence of solar radiation on thermal comfort in urban streets, constructing outer surfaces with highly reflective materials is considered to be controlling the directional reflection of the materials, and to reflect most of the radiation in the retroreflective direction—the same direction as that of the incident radiation. This study experimentally and numerically evaluates the directional solar reflectance of the outer cover material having an uneven surface. There is found to be a strong impact of radiation on human thermal comfort, and reduction of this radiation is the key to improving the thermal environment. Accordingly, the use of highly reflective materials is a good strategy for enabling this improvement, and retro reflection is a promising concept to consider in this regard. The simulation results show that human thermal comfort is determined by retro reflection if solar reflectance is the same.
The Prototype of Assistive Cane for Climbing Up the Stair
Authors: Boonthaworn Pipatpong , Aroonjarattham Panya , Somtua Chompunut 
Published: July 2020

Abstract
The elder and patient with osteoarthritis knee had the problem to climb up the stair. The purpose of this research was to design and construct the prototype of assistive cane for climb up the stair. The assistive cane use Arduino to control the motor, send the power to the gear set to lift the user up the stair. The lifting plate help to reduce the burden at the knee joint while climbing up the stair. The foot force sensing device used to measure and collect the force act on the insole while walking on the floor, climbing up the stairs and climbing up the stairs using the assistive cane. The assistive cane could be help to reduce the burden at the knee joint and the force on the insole when climbing up the stair.
An Analysis of Temperature Distribution and Ablated Volume in the 3-D FEM Tissue Model with Blood Vessel during Radio-Frequency Ablation
Authors: Keangin P. , Rattanadecho P. 
Published: July 2020

Abstract
The current treatment for a brain tumor has many methods such as surgery or chemotherapy but often the treatments may affect the patient or treatment is still limited in some aspects. A promising technique for brain tumor treatment is radio-frequency ablation. Radio-frequency ablation utilizes alternating current (AC), typically at about 500 kHz, to destroy unwanted tissues by heating to temperatures exceed 45°C to 50 °C. The objective of this research is to study the treatment of brain tumor during radio-frequency ablation with computer simulation through finite element method (FEM) for solving the problem. A three-dimensional FEM model of brain tissue with a brain tumor and blood vessel is considered. Three types of blood vessels i.e. aorta, main veins and terminal veins are studied. The electric current equation and time-dependent bioheat transfer equation coupled with time-dependent convective blood vessel heat transfer equation are solved to predict temperature distribution and ablated volume within brain tissue model. The simulation results are compared with the simulation results from previous work to verify the accuracy of the presented model. The effects of the blood vessel are included and not included in the brain tissue model, types of blood vessel and treatment time during radio-frequency ablation on the temperature distribution and ablated volume are investigated. The outcomes indicated that size of blood vessel results in heat sink effects which increase with the velocity of blood flow. The aorta causes more heat sink effects than main veins and terminal veins, respectively; thereby the ablated area and ablated volume in case of the aorta is higher than one in case of main veins and terminal veins, respectively. In addition, the temperature value increases with greater treatment time. The results from this study provide the basis for planning the radio-frequency ablation of brain tumor, leading to approaches of medical practice process improvement.
Numerical Validation of Heat Conduction in 2D Binary Granular Mixtures under Mechanical Loading
Authors: Jongchansitto K , Jongchansitto P , Preechawuttipong I 
Published: July 2020

Abstract
This study set out to investigate numerical simulations of heat conduction to validate existing experimental results of two-dimensional binary granular mixtures subjected to mechanical loading. Data for this study were collected using molecular dynamics (henceforth MD) method. Three different configurations of the granular composite samples were systematically prepared under similar experimental conditions. A confined mechanical loading was applied to the granular samples. The fields of normalized temperature change of each particle were plotted for an individual sample. The results were statistically analyzed under a static equilibrium condition. The results indicate that simulation is in good correlation with the experiments in terms of statistical analysis via the probability of the distributions of the normalized temperature change. It also revealed that the normalized temperature changes which are greater than the average temperature distributes as an exponential decreasing for all tested samples. This study is in line with other studies that are related to force distribution of law. Less than 50% of particle numbers that have the normalized temperature changes, which are greater than the average value, is also explored. Besides, localizations of the temperature were found in the individual sample.
Experimental Investigation and Finite Element Modelling of the Influence of Hydrostatic Pressure on Adhesive Joint Failure
Authors: Suwanpakpraek Kerati , Patamaprohm Baramee , Phongphinittana Ekkarin , Chaikittiratana Arisara 
Published: July 2020

Abstract
Structural adhesives have been increasingly used in automotive industries in conjunction with lightweight structural components to maximize weight reduction in modern car design. They are used to bond various kind of lightweight materials such as FRP composites or metallic alloys and provide a good distribution of force across joining area without damaging the substrates. For automotive applications, bonded components have been often used in complex loading environments which brings failure prediction of adhesive joints a key of success for this technology. As polymer-based materials, hydrostatic pressure can have a major impact on adhesive joint failure in addition to temperature and strain rate. Its influence can be investigated using a specific test fixture known as a modified-Arcan fixture. This article presents the characterization of epoxy-based adhesive using a series of modified-Arcan tests to apply different loading taking in account effect of hydrostatic pressure onto adhesive joints. A high-order exponential Drucker-Prager failure criterion is chosen to interpret the yield and failure surface. Finally, the non-linear behaviour of adhesive is identified via 0° and 90° Arcan tests which correspond respectively to tri-axial and shear modes and the validation of this behaviour is carried out by mix-mode 60° and 120° Arcan tests. The simulation shows a good agreement only with the result in direction 60° while in direction 120° the divergence is obvious due to the different in damage mechanism of this mode.
Numerical Investigation of the Effects of Particle Density and Dimensionless Acceleration on Segregation in 2D Vertically Vibrated Binary Granular Mixtures
Authors: Jongchansitto P , Preechawuttipong I 
Published: July 2020

Abstract
The present work aims to investigate the influences of particle density and dimensionless acceleration on segregation phenomena in 2D binary granular mixtures by using contact dynamics method. The granular samples were prepared by randomly depositing two species of regular pentagonal particles inside a rectangular container. These two particle species are the same in size, but differ in terms of particle density. Different levels of vertical vibration were then applied to the mixtures. The simulation results were systematically analyzed by using segregation coefficient (H), segregation pattern, and velocity field related to convection mechanism. It was found that segregation phenomena are not observed in this study. This could be explained by the fact that a value of friction coefficient between interparticle and that value between wall and particle is set to be the same, that is why no segregation was found in the present study. Due to the friction, only convection rolls were observed for all the density ratios when dimensionless acceleration is greater than 2.
Structure-property maps with Kernel principal covariates regression
Authors: Helfrecht Benjamin A , Cersonsky Rose K , Fraux Guillaume , Ceriotti Michele 
Published: July 2020

Abstract
Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building supervised or unsupervised machine learning models. Principal covariates regression (PCovR) is an underappreciated method that interpolates between principal component analysis and linear regression and can be used conveniently to reveal structure-property relations in terms of simple-to-interpret, low-dimensional maps. Here we provide a pedagogic overview of these data analysis schemes, including the use of the kernel trick to introduce an element of non-linearity while maintaining most of the convenience and the simplicity of linear approaches. We then introduce a kernelized version of PCovR and a sparsified extension, and demonstrate the performance of this approach in revealing and predicting structure-property relations in chemistry and materials science, showing a variety of examples including elemental carbon, porous silicate frameworks, organic molecules, amino acid conformers, and molecular materials.
An association study of polymorphisms in the H19 imprinted gene in an Iranian population with the risk of polycystic ovary syndrome
Authors: Ghasemi Marzieh , Heidari Nia Milad , Hashemi Mohammad , Keikha Narjes , Fazeli Kimia , Taji Omid , Naghavi Anoosh 
Published: July 2020

Abstract
Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies that causes problems in female fertility at the reproductive age. PCOS is a multifactorial disease, with genetic factors playing a crucial role in its development. H19 is a long non-coding RNA (lncRNA) expressed from the maternal chromosome, which is correlated with PCOS. In this study, 115 women suffering from PCOS and 130 healthy women with regular menstrual cycles were recruited as case and control groups, respectively. After the extraction of genomic DNA, the restriction fragment length polymorphism polymerase chain reaction was employed for genotyping of rs2067051G&gt;A and rs3741219T&gt;C. Statistical analysis was done using SPSS package V.22 for Windows. In silico analysis was recruited to determine the effects of SNPs on the secondary structure of gene transcript as well as miRNA binding sites. The obtained data showed that the A allele of rs2067051G&gt;A was associated with the high risk of PCOS (OR = 2.00, 95%CI = 1.38–2.91, P = 0.00). AG and AA genotypes led to a 3.64- and (about) a five-fold increase in the risk of PCOS, respectively (95%CI = 2.02–6.54, P = 0.00, and 95%CI = 1.51–16.52, P = 0.00, respectively). These variants caused a significant increase in the risk of this disorder in all genotype models except in the recessive model. However, no association was found between rs3741219T&gt;C and the increased risk of PCOS, either in the allele or in the genotype models. According to the findings, rs2067051G&gt;A is associated with an increased risk of PCOS in the Iranian population.
Genomic Landscape of Mutational Biases in the Pacific OysterCrassostrea gigas
Authors: Song Kai 
Published: July 2020

AbstractMutation is a driving force of evolution that has been shaped by natural selection and is universally biased. Previous studies determined genome-wide mutational patterns for several species and investigated the heterogeneity of mutational patterns at fine-scale levels. However, little evidence of the heterogeneity of mutation rates over large genomic regions was shown. Hence, the mutational patterns of different large-scale genomic regions and their association with selective pressures still need to be explored. As the second most species-rich animal phylum, little is known about the mutational patterns in Mollusca, especially oysters. In this study, the mutational bias patterns are characterized by using whole-genome resequencing data in the Crassostrea gigas genome. I studied the genome-wide relative rates of the pair mutations and found that the predominant mutation is GC -&gt; AT, irrespective of the genomic regions. This analysis reveals that mutational biases were associated with gene expression levels across the C. gigas genome. Genes with higher expression levels and breadth expression patterns, longer coding length, and more exon numbers had relatively higher GC -&gt; AT rates. I also found that genes with larger dN/dS values had relatively higher GC -&gt; AT rates. This work represents the first comprehensive research on the mutational biases in Mollusca species. Here, I comprehensively investigated the relationships between mutational biases with some intrinsic genetic factors and evolutionary indicators and proposed that selective pressures are important forces shaping the mutational biases across the C. gigas genome.