bluuebunny/crossref_metadata_2025_split huggingface dataset:
Subjective Assessment Research of Middle Pressure Regulator Boxes in Urban Gas Industry
Authors: Sun Dezhi , Xin Yan , Zhao Yang , Kang Jian , Ni Zhiguo , Li Mengyin , Chong Wanchen , Zhang Zifeng 
Published: February 2021

Abstract
In urban gas industry there are many middle pressure regulator boxes which locate in noise sensitive areas like Class 1 and Class 2 acoustic environment functional areas in where exist strict noise emission limit requirement. Compared with high pressure regulation stations these middle pressure ones generate lower level noise but they are still complained because of the boundary noise excessive emission caused by direct exposure outdoors and lack of noise control treatment like acoustic enclosures, sound barriers and walls’ baffle. Most of the existing research focused on the parameters like noise sound pressure level, sound power level and so on of these regulator boxes, and there is little achievement about the subjective assessment of the noise generated by them. But the values of noise subjective assessment are the major reasons and influential index of the surrounding environmental complaints. In this paper, some objective values of subjective assessment base on several typical middle pressure regulator boxes noise emission during gas supply peak are measured, calculated and analyzed, the results offer the scientific evidence for the noise control and subjective feeling improvement of these boxes.
Two-Stage Damage Detection of Beam Structure Based on Improved PSO Algorithm
Authors: Debing Zhuo , Hui Cao , Weifeng Niu 
Published: February 2021

Abstract
In order to solve the problem of damage location and degree identification of beam structure under multiple damage and small damage condition, a two-stage recognition method based on the improved particle swarm optimization (PSO) algorithm was proposed. Firstly, the first stage damage localization is carried out. The D-S evidence theory fusion algorithm is used to fuse element damage variable and element stiffness reduction coefficient. Then, the improved PSO algorithm is used to update the location results and accurately quantify the damage. The results of simulation and experiment show that the two-stage recognition method can identify the damage locations and detect the damage extent precisely for multi-damage and small damage, and has the advantage of good anti-noise performance.
Research on vehicle performance test based on DirectInput data acquisition
Authors: Gui Gensheng , Li Longhui 
Published: February 2021

Abstract
Aiming at the high cost of high-performance driving simulator at present, a low-cost vehicle simulation system with universal applicability was developed based on Microsoft Visual C++6.0 software platform. A data acquisition interface program based on DirectInput components and the real-time data acquisition program of driving operation was designed. Based on the dynamic model of vehicle simulation, a data output conversion model was established for the driver operation input collected in real time. For real-time vehicle dynamics simulation model, the real-time simulation control process was realized, the simulation description and decoding quality of the ground, hanging, no suspension quality coordinate system and the real-time simulation for buses with nine degrees of freedom dynamic model were established. Finally, the real-time and reliability of the simulation system were verified through the simulation test. The experiment results show that the average response time of the simulation system is 11.465ms. Emergency braking time is 4.40s with an error of 4.762%. The braking distance is 70.145m and the error is 5.959%.
Fault analysis of cement pole and wire in 110kV transmission line
Authors: Li Wei , Qiao Lei , Feng Chao , Xie Yi , Long Yi , Liu Weike 
Published: February 2021

Abstract
The trip on the 110kV transmission line was caused by the collapse of cement pole and disconnection of wire. A series of tests including macro check, dimensional measurement, mechanical property test and metallographic observation, have been carried out for the failure investigation. The experimental results showed that the failure of #43 pole was caused by combination of the rusting and breakage of transmission line under corrosive conditions and the unqualified hoops cannot bear the impact load and unbalanced tension of broken wires. At the same time, the corresponding supervision measures concerning about the design and purchase of materials used in Grid system and operation and maintenance inspection requirements were also put forward.
Study on Economic Operation and Optimal Dispatching of VPP
Authors: Song Xinxin , Gui Shunsheng , Shan Chunhong , Wang Shitao , Wang Lulu 
Published: February 2021

Abstract
Large scale grid-connected wind power will have a great impact on the power grid. In order to ensure the safetyof power grid operation, it is necessary to quickly adjust the load of thermal power plants to stabilize the fluctuation ofwind power output. The economy of thermal power unit is poor in low load operation, and the safety and service life of theunit will be reduced when the load is adjusted frequently. In order to solve the problems, wind and thermal powercomplementarity is proposed, and the wind farm and thermal power plant constitute a virtual power plant (VPP) toparticipate in the grid dispatching. A multi-objective optimal dispatching model of VPP considering economy and rapidity isestablished, which is solved by improving genetic algorithm. The results show that the multi-objective optimal dispatchingmodel can make the economy of VPP the best on the premise of meeting the requirements of grid dispatching time throughthe simulation of differentscenarios. Furthermore, the strategy of selecting the weight coefficient of multi-objectiveoptimization model is given, and the wind power consumption capacity of VPP is analysed.
Studies and Prospects of Technologies for Monitoring Highway Tunnel Fire
Authors: Lu Yi , Liu Shuai , Tian Fang , Chen Jianzhong , Deng Shiqiang 
Published: February 2021

Abstract
Because the tunnel fire poses a great threat to the personal and property safety of the trapped people, it is urgent to monitor the tunnel fire in real time, which will help the emergency rescue and evacuation of the tunnel fire accidents. This paper summarizes the studies of technologies for detecting highway tunnel fire and traffic accidents, and discusses the prospect of monitoring the fire of tunnel vehicles through video images.
Reliability Analysis of Deflection Control of Prestressed Concrete Crane Beam
Authors: Hu Yukun , Yao Jitao , Du Jing 
Published: February 2021

Abstract
The report is intended to establish the reliability analysis method of prestressed concrete crane beam and analyze its influence factors. Previous studies have shown that due to lack of an appropriate probability model to accurately reflect the random variables of the vertical crane load and determination of variable effect by the maximum value of the combination of random variables, the deflection control level is unknown. Therefore, to make up for the deficiency, the design method of deflection control of prestressed concrete crane beam was analyzed using the probability model of crane vertical load and the stochastic process combination method. Then, the reliability indexes of prestressed concrete crane beams required not to crack and prestressed concrete crane beams allowed to crack are calculated under different control years, and the factors affecting the deflection control are analyzed. The results revealed that it is appropriate for reliability control of prestressed concrete crane beam required not to crack, but a little conservative for reliability control of prestressed concrete crane beam allowed to crack in the national standard GB 50153-2008[1], which can be adjusted. From these results, it is recommended that reliability control level can be adjusted appropriately according to the importance of influencing factors.
Discussion on Experimental Teaching of Mechanics of Materials
Authors: Enyang Zhu , Yihe Wang , Shaokun Wang 
Published: February 2021

Abstract
Based on the teaching practice of both the theory and experiment of mechanics of materials by the author, discussion is attempted to add into experimental teaching part. In the discussion, some hidden correlations, perceptual cognitions and interesting problems are illustrated. This attempt is confirmed to be effective in improving the understanding of mechanics knowledge of the undergraduate students and in promoting the combination of theoretical teaching and experimental teaching of mechanics of materials.
Investigation on the dynamic shear modulus of fiber-reinforced sand
Authors: Liu Jia , Li Xi’an , Li Gang , Zhang Jinli 
Published: February 2021

Abstract
As a new type of composite material, fiber-reinforced soil has attracted much attention due to its good dispersibility, mechanical properties and durability. Based on the dynamic triaxial test, the dynamic characteristics of polypropylene fiber-reinforced sand were studied, and the effects of fiber content (w), fiber length (lf
), and cyclic stress ratio (CSR) on the dynamic shear modulus (G) of polypropylene fiber-reinforced sand were systematically analyzed. The results showed that the curves of dynamic shear modulus ratio (G/G0
) and cycles ratio (N/NL
) had piecewise linear characteristics. The slope of the curves was small before the segment point, whereas was large after the segment point. The G/G0 decreased with the increasing of the CSR, whereas the effect of w, lf
and CSR on the curve was not significant. The curves of G/G0
and dissipated energy per unit volume ratio (W/WL
) also had piecewise linear characteristics. The G/G0 decreased rapidly as the increasing of W/WL
until it was close to 0, and then kept stable. The decreasing rate of G/G0
at low CSR was greater than that at high CSR, which indicated that high CSR had great affect on the G.
Availability analysis of precipitation forecast results in reservoir flood control operation in Anqiu
Authors: Wei Zhaozhen , Liu Lili , Wang Guanghui , Yang Dawei 
Published: February 2021

Abstract
Anqiuis located in the Weihe River basin. The precipitation is mainly concentrated in the flood season. There are more than 100 large, medium and small reservoirs such as Shangzhuang reservoir and Moushan reservoir. It is of great significance for reservoir operation and flood control decision-making to study the accuracy of precipitation forecast in flood season in Anqiu and to analyse the availability of the forecast results.
Influence of anchor cable failure on a supporting system of pile anchor foundation pit
Authors: Song Weili , Liu Yan , Zheng Quanming 
Published: February 2021

Abstract
The prestressed anchor cable plays an important role in controlling the deformation of the foundation pit. The failure of anchor cable will cause a series of safety problems of foundation pit. Aiming at this problem, with a deep foundation pit in Jinan as the engineering background, the deformation laws of the supporting structure caused by the failure of single-row anchor cables and local anchor cables are studied. For the failure of a single row of anchor cables, when the first row of anchor cables fails, the horizontal displacement of the pile body is the largest at the top of the pile, which has the most obvious impact on the deformation of the supporting pile. When the first row of anchor cables fails in a combination of 1, 2, 4, 9, 17, or 34 in the positive direction of the X-axis, the horizontal displacement of the pile top at the failure point will increase with the number of anchor cable failures. the greater the increase in displacement, the greater the axial force of the two anchor cables near the point of failure.
Multiple Face Detection Using Haar - AdaBoosting, LBP-AdaBoosting and Neural Networks
Authors: Devi B.Thirumaleshwari , Shitharth S. 
Published: February 2021

Abstract
Multiple Face Detection may be a process of identifying or recognizing quite one face on a picture. Face detections have recently attracted increasing interests thanks to the multitude of applications that end in format. There are numerous methods for identifying the face on the image but here we are using ‘Haar-AdaBoost’, ‘LBP-AdaBoost’, and ‘Neural Networks’ for identifying the faces on the image. And also we are comparing each of the methods to urge which method is giving highly accurate results and which method is giving results very quickly. In humans, by seeing the positions of Eyes, Nose, and Mouth another person can identify the face. The neural mechanism within the brain controls these all and provides the result. We are implementing an equivalent concept on the machine so that the machine can identify the faces by using the positions of the Eyes, Nose, and Mouth. The machine will identify quite one face or multiple faces within the image by using this, and that we also can compare which algorithm will provide a good percentage of accurate results.
Human Action Recognition Using A Novel Deep Learning Approach
Authors: Kumar Badhagouni Suresh , Raju S. Viswanadha , Reddy H.Venkateswara 
Published: February 2021

Abstract
Behavior human analysis is always a significant aspect in societal communication. The human behavior analysis is developed based on few factors like human activity and action recognition. Human action recognition is an significant feature in different safety fields. The assessment of the action recognition algorithm depends on the appropriate extraction and the learning data. In the human action recognition, classification plays the major role so in order to this effectively Gated Recurrent Neural Network is used with an increased computation level. Feature extraction is one of the essential factor in human action recognition it will influence the performance and computation time of the algorithm. This paper presented an approach for human action recognition based on new mixture deep learning model. The proposed method is evaluated on the different data sets like UCF Sports, KTH and UCF101. On UCF Sports data set the proposed method has given an average of 96.8%.
Descriptors of atoms and structure information for predicting properties of crystalline materials
Authors: Lee Jonggul , Shin Jungho , Ko Tae-Wook , Lee Seunghee , Chang Hyunju , Hyon YunKyong 
Published: February 2021

Abstract
Machine learning (ML) has increasingly been of interest in the design of new materials. However, it is still challenging to exploit an ML model in this field because its performance highly depends on the representation of materials, its properties, and the amount of data. In this study, for the cases of prediction of properties of crystalline materials, we explore a systematic comparison of two state-of-the-art frameworks: Crystal Graph Convolutional Neural Networks (CGCNNs) and the Sure Independence Screening and Sparsifying Operator (SISSO). The common key advantage of these two models is the fact that painstakingly handcrafted descriptors from simple material properties are not required. The main differences between the two models are (1) the use of structure information in the arbitrary size of compounds (CGCNN) and (2) limited interpretability (CGCNN) but simple and analytic relations between descriptor-property (SISSO). Using these two ML algorithms we evaluate the prediction performance on the target properties, which are band gap, formation energy, and elasticity of crystalline compounds in the database of Materials Project (MP). Moreover, to improve prediction of the properties of the materials without human bias in the selection of initial atomic features for the CGCNNs, we use Atom2Vec that provides atom representation obtained in an unsupervised manner from the materials. We also perform the predictions with the different sizes of training set to investigate the data-size dependency of the predictive models. According to the amount of dataset, the use of structural information, and the ability to identify the best descriptor with its interpretability, these algorithms showed different prediction performances. This result will enable researchers in materials discovery to gain appropriate choices and insights in various attempts to improve the prediction performance of crystalline materials’ properties.
Nanoscale investigation of two-photon polymerized microstructures with tip-enhanced Raman spectroscopy
Authors: Kazantseva Anastasiya V , Chernykh Elena A , Crook Cameron , Garcia Evan P , Fishman Dmitry A , Potma Eric O , Valdevit Lorenzo , Kharintsev Sergey S , Baldacchini Tommaso 
Published: February 2021

Abstract
We demonstrate the use of tip-enhanced Raman spectroscopy (TERS) on polymeric microstructures fabricated by two-photon polymerization direct laser writing (TPP-DLW). Compared to the signal intensity obtained in confocal Raman microscopy, a linear enhancement of almost two times is measured when using TERS. Because the probing volume is much smaller in TERS than in confocal Raman microscopy, the effective signal enhancement is estimated to be ca. 104. We obtain chemical maps of TPP microstructures using TERS with relatively short acquisition times and with high spatial resolution as defined by the metallic tip apex radius of curvature. We take advantage of this high resolution to study the homogeneity of the polymer network in TPP microstructures printed in an acrylic-based resin. We find that the polymer degree of conversion varies by about 30% within a distance of only 100 nm. The combination of high resolution topographical and chemical data delivered by TERS provides an effective analytical tool for studying TPP-DLW materials in a non-destructive way.
Delayed transfers of care for older people: a wider perspective
Authors: Hinde Sebastian , Bojke Laura , Richardson Gerry , Birks Yvonne , Whittaker William , Wilberforce Mark , Clegg Andrew 
Published: February 2021

Abstract
Delayed transfers of care (DTOC), often unhelpfully referred to as ‘bed blocking’, has become a byword for waste and inefficiency in healthcare systems throughout the world. An estimated 2.7 million bed days are occupied each year in England by older people no longer in need of acute treatment, estimated to cost £820 million (2014/15) in inpatient care. Policy and media attention have often been drawn to this narrative of financial waste, resulting in policy setting that directly targets the level of DTOC, but has done little to put patient health first.
These figures and policies portray a misleading image of the delays as primarily of concern in terms of their financial burden on acute hospital care, with little consideration given to the quantification on patient health or wider societal impacts. In spite of the multi-factorial decision-making process that occurs for each patient discharge, current evaluation frameworks and national policy setting fail to reflect the complexity of the process.
In this commentary, we interrogate the current approach to the quantification of the DTOC impact and explore how policies and evaluation methods can do more to reflect the true impact of the delays.
Abdominal obesity, body mass index and the risk of frailty in community-dwelling older adults: a systematic review and meta-analysis
Authors: Yuan Linli , Chang Meilian , Wang Jing 
Published: February 2021

AbstractObese older people are more likely to be frail than those with a normal body mass index (BMI), but the results of individual studies have been inconsistent. We conducted a systematic review and meta-analysis to clarify the association between obesity and the risk of frailty, and whether there was a relationship between BMI and frailty, in community-dwelling older adults aged ≥60 years. Eight databases (PubMed/MEDLINE, EMBASE, EBSCO, CINAHL, Scopus, Cochrane Library and Web of Science) were systematically searched from inception to August 2020. Relative risks for incident frailty were pooled using a random-effects model. We found a positive association between abdominal obesity and frailty [relative risk (RR) = 1.57, 95% confidence interval (CI) 1.29–1.91, I2 = 48.1%, P = 0.086, six observational studies, 18,764 subjects]. People in the higher category of waist circumference had a pooled 57% higher risk of frailty than those with a normal waist circumference. In addition, a total of 12 observational studies comprising 37,985 older people were included in the meta-analysis on the relationship between BMI and the risk for frailty. Taking the normal BMI as the reference group, the pooled RR of frailty risk ranged from 1.45 (95% CI 1.10–1.90, I2 = 83.3%; P &lt; 0.01) for the underweight group, to 0.93 (95% CI 0.85–1.02, I2 = 34.6%; P = 0.114) for the overweight group and to 1.40 (95% CI 1.17–1.67, I2 = 86.1%; P &lt; 0.01) for the obese group. We have shown that obesity or underweight is associated with an increased risk of frailty in community-dwelling older adults.
IDH1 and IDH2 Mutations in Colorectal Cancers
Authors: Huang Jialing , Tseng Li-Hui , Parini Vamsi , Lokhandwala Parvez M , Pallavajjala Aparna , Rodriguez Erika , Xian Rena , Chen Liam , Gocke Christopher D , Eshleman James R , Lin Ming-Tseh 
Published: February 2021

Abstract

Objectives
To elucidate clinicopathologic and molecular characteristics of IDH1 and IDH2 (IDH1/2) mutations in colorectal cancers (CRCs).

Methods
We evaluated IDH1/2 mutations in 1,623 CRCs using a next-generation sequencing assay.

Results
IDH1/2 mutations, predominantly IDH1 p.R132C, were detected in 15 (0.9%) CRCs and in 5 (3.0%) of 167 BRAF p.V600E–mutated CRCs. Three IDH1/2-mutated CRCs were associated with inflammatory bowel disease. They were significantly associated with old age, mucinous or signet ring cell adenocarcinoma, and high-grade histomorphology. Concordance of variant allele frequency between IDH1/2 mutants and other trunk drivers in CRCs and presence of IDH1/2 mutation in the adenoma and early adenocarcinoma indicated IDH1/2 mutations could be trunk drivers suitable for targeted therapy.

Conclusions
IDH1/2 mutations in CRCs were uncommon but enriched in BRAF p.V600E–mutated CRCs and perhaps colitis-associated CRCs. Further studies on IDH1/2-mutated CRCs are needed to clarify their clinicopathologic features and implications for targeted therapy.