bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Mechanical Property and Blocking Test of Multistage Resin Composite Ductile Cement Slurry System
Authors: Yan Xuanqi , Hao Huijun , Liu Shasha , Yan Haijun , Xie Gang , Jing Jizhe , Wei Aijun 
Published: October 2020

Abstract
In view of the traditional inorganic cement-based material hydration shrinkage caused by the impact of performance defects range of application, applying the principle of doping dispersion and compact packing, a multistage resin composite ductile cement slurry system with different temperatures was constructed. The compatibility, thickening and mechanical evaluation tests were carried out to optimize the resin type, doping amount and method. The results show that the thickening of the composite system is controllable, and the addition of resin is beneficial to improve the elastic deformation, whereas easy to pile up if adding extra amounts, and the compressive strength reduced. At the same time, adding resin first is beneficial to disperse in the cement gap. Compared with cement-based materials, the compressive strength increased 7% to 13%, the elastic modulus decreased 10% to 15%, and the deformation capacity increased 14% to 22%. Field test shows that it has good sealing performance and remarkable effect of oil increasing and dewatering, which provides a new technical means for controlling casing leakage and ensuring its normal production.
Carbon Aerogels With Kaolin Addition For Supercapacitors Application
Authors: Xu Yuelong , Ren Bin , Wang Shasha , Liu Zhenfa 
Published: October 2020

Abstract
Carbon aerogels with excellent electrochemical properties and 3D porous structure are prepared from the reaction of phloroglucinol (P), resorcinol (R) and formaldehyde (F) under ascorbic acid (VC) catalyzing with kaolin (KL) addition. Because of the double-layer capacitance behavior, CAs have been used as supercapacitors for energy storage. The reaction mechanism of the wet aerogels formation is analyzed. Meanwhile, the chemical environments of CAs surface is systematically investigated using X-ray photoelectron spectroscopy (XPS). The cyclic voltammetry (CV), galvanostatic charge-discharge (GCD) measurements and electrochemical impedance spectroscopy (EIS) are adopted to studied the excellent electrochemical properties of different samples. The specific capacitance (SC) is up to 162 F g−1, and 97% of initial capacitance is retained over 1000 cycles at a current density of 1.0 A g−1.
Experimental comparison of ultrasonic properties of shaft lining concrete and surrounding rock in Xincheng Gold Mine
Authors: Xu Yan , Zhou Xiaoming 
Published: October 2020

Abstract
Based on the design of the wall rock and concrete lining of the new main shaft in Xincheng gold mine and the ultrasonic test as the main research method, the ultrasonic performance characteristics and influencing factors of the surrounding rock specimen and concrete specimen of the new main shaft are compared. It is concluded that the mechanical properties of rock specimens of metal mine surrounding rock are better than those of concrete lining. The complete surrounding rock segment of concrete lining does not play the role of rigid support. The two cube specimens have a significant influence on the attenuation of longitudinal wave. It is suggested to convert the cube specimen with a side length of 150mm into or directly use the cylinder specimen with a diameter of 50mm and a height of 100mm when determining the indoor ultrasonic parameters of rock and concrete in the shaft wall design of ultra-deep shafts of metal ore. The research results are of great significance to the design of shaft lining in mines.
Research on thermal response of pool fire of oil tank based on PyroSim
Authors: Zhang Qibo , Zhang Huguo , Lu Shouqing , Zhang Ran , Chen Yao 
Published: October 2020

Abstract
This paper presents a numerical investigation aimed at studying the thermal response of adjacent tank caused by different fire conditions. The analysis involves two-step procedure:(1) PyroSim model to obtain the temperature and the inclination variation of the large pool-fire flame, to determine the ultimate temperature distributions of the target tank, and to compare the ultimate temperature and the fuel ignition temperature, thus to determine the target tank is safety or not,(2) There are three kinds of semi-empirical models for describing the radiation e.g.(i) point source,(ii) Shokri-Beyler and (iii) Mudan models, to determine thermal radiation flux of the target tank. The analysis considered the influence of two parameters: (i) seven kinds of wind, (ii) five kinds of distances between the tanks. The paper compares three kinds of semi-empirical models and PyroSim model, so PyroSim model is more fit for relationships between thermal radiation flux. The simulation results show that the maximum temperature of the target tank is the connection between the wall and the top of the tank; the target tanks have failure risk within 0.3D and 0.6D tank distances and the tank spacing greater than or equal to 0.9D have no failure risk.
Research on New Flexible Bridge Pier Anti-collision Technology
Authors: Jiang Peng-fei , Wang Peng-fei , Cao Hong-fei , Wang Fei 
Published: October 2020

Abstract
With the increase of ship traffic flow, ship size and ship tonnage have increased significantly, while the original anti-collision design of many bridges built in early China has not met the protection requirements, resulting in the increase of the risk of bridge collision by ships. Ship collision with bridges can not only cause huge economic losses, but also result in fatal accidents, leaving a huge hidden danger to the safety of bridges. In this paper, the advanced safety protection concept of ship, bridge and device triple protection is introduced, and a new flexible pier anti-collision technology is used, the additional pile isolation type flexible anti-collision device is proposed.The LS-DYNA dynamic numerical simulation software is used to analyze the dynamic behavior of the ship collision avoidance device. The results show that the anti-collision device using flexible components can store large deformation energy in the process of ship collision. Compared with the theoretical calculation of ship impact force, the ship impact force is significantly reduced after the installation of the new flexible protective device. The flexible anti-collision device proposed in this paper can provide a reliable design for bridge anti-collision.
Application of artificial intelligence bird recognition technology in airport bird strike prevention safety management
Authors: Guo Bin , Du Wenjia , Cheng Lan , Liang Jing , Wang Lu 
Published: October 2020

Abstract
Bird strike prevention is an important part of airport safety production management. For bird identification technology in airport bird strike prevention business, this paper summarizes various research results of using artificial intelligence for bird recognition, and analyses the pros and cons of different types of application of the technology in the actual airport bird control business. Also, the bird identification technology in the current airport bird prevention and control technology is prospected.
Research on behavior safety evaluation of subway construction personnel based on improved AHP-FCE method
Authors: Chen Xin , Chen Dawei , Heng Kong , Fei Guo 
Published: October 2020

Abstract
This paper studies the behavior safety evaluation of subway construction personnel. According to expert interviews, accident case analysis and references, the behavior safety evaluation system of subway construction personnel is constructed, including 6 first-class indicators and 20 second-class indicators. The improved AHP method, entropy weight method and difference coefficient linear weighting method is used to calculate the subjective and objective combination weights of each evaluation index, and FCE method is used to evaluate the behavior safety status of the construction personnel of a subway project. The results show that: (1)The evaluation model is scientific and reasonable, and has strong operability; (2) The behavior safety status of subway construction personnel is greatly affected by knowledge and skills, safety atmosphere and management factors. Among them, safety attitude, safe operation skills, exemplary role of team leaders, safety initiative participation, safety education and training, and safety leadership are of great importance. Strengthening their management will effectively improve the level of behavior safety management and put forward new management ideas for the project management idea.
Research on sensitive index and critical value of local prediction for coal roadway insteep seam
Authors: Wang ZHonghua , Sun Luanluan 
Published: October 2020

Abstract
In response to the prediction of the local outburst danger of steeply inclined coal seams, it tested the initial gas emission rate of coal ΔP, the firmness coefficient f of coal, and the gas desorption characteristics K1-P in laboratory. Using the methods of historical data analysis, on-site inspection and on-site expansion verification, it was determined that the drill cuttings volume index S and drill cuttings gas desorption index Δh2 are the sensitive indexes and critical values for the coal roadway prediction in Qingshan Coal Mine. The application effect is good, which provides reference for mines with similar conditions.
Research and Application of Optimizing Pre-drainage Hole Layout along Seam
Authors: Houquan Zhou , Qianqian Ma 
Published: October 2020

Abstract
In order to solve the problem of the unsatisfactory pre-drainage effect of bedding holes, based on the theory of elastoplastic mechanics, the distribution of elastoplastic zone around the borehole and its influencing factors were analyzed, and it was found that the three-dimensional arrangement of the boreholes can increase the hole circumference of the drilled network Plastic zone volume, effective drilling length of borehole, coal seam permeability and gas drainage efficiency. Engineering application was carried out at the 3215working face of Wangpo Coal Mine. Three test schemes of dense parallel drilling, plane cross drilling and three-dimensional cross drilling were used, and the effect of extraction was investigated for comparative analysis. The test shows that the extraction efficiency of the three-dimensional cross-drilled hole is high, and the attenuation coefficient is small. Under the same amount of drilling, the extraction capacity of the three-dimensional cross-drilled hole is 1.7 times and 1.3 times that of the dense parallel drilling and plane cross-drilled hole. The drainage efficiency of three-dimensional cross drilling is 69% and 26% higher than that of dense parallel drilling and plane cross drilling, respectively.
Experimental Study on Membrane Fouling and Cleaning in Hydrolytic Acidification -Membrane - Sequencing Batch Reactors Process
Authors: Gao Yulan , Yang Jie , Song Xinwei , Shen Dongmei , Wang Wanfen , Liu Kai , Jiang Jichao 
Published: October 2020

Abstract
The process of hydrolytic acidification (HA) - membrane (M) - sequencing batch reactors (SBR) was used to deal with mixed municipal wastewater and landfill leachate. The system operated continuously for 90 days, and the changes of membrane filtration resistance and membrane cleaning were investigated. The results showed that the membrane fouling rate developed slowly during the continuous operation of the system, and the tota membrane filtration resistance increased from the initial 2.82 × 1012m−1 to 11.4 × 1012 m−1. In addition, it was found that the reversible membrane fouling was the main part of the membrane-sequencing batch filter, which accounted for 47.35% of the total filtration resistance, by observing the surface of the membrane module before and after cleaning test. What’s more, hydraulic cleaning could effectively remove the sludge and granular sediments deposited on the membrane surface, and the total resistance of membrane filtration decreased from 293.84% to 176.45%. However, by further soaking membrane components with 5%o NaClO and 5%o HCl solutions, the membrane filtration performance would be fully restored, and the total membrane filtration resistance would be restored to 104.35% of the initial state.
Safety evaluation of chemical production based on AHP-fuzzy comprehensive evaluation method
Authors: Cui Liyuan , Zhang Yansong , Jin Hu , Ma Xu 
Published: October 2020

Abstract
In order to prevent fire and explosion accidents in the production process of chemical companies and ensure the production safety of chemical companies, taking the styrene production process of a chemical company as an example, according to the production characteristics of chemical companies and the hazardous factors in production, combined with industry expert opinions, 17 safety evaluation indexes affecting the safety in production of chemical enterprises are analyzed and summarized from the aspects of human, machine, material, environment and management, the second level safety evaluation index system is established, and AHP-fuzzy comprehensive evaluation method is used for production. The safety evaluation of the process showed that the production status of the chemical enterprise was relatively dangerous. The danger mainly came from management and materials. The enterprise did a good job in terms of human, machin and environment. This evaluation method can objectively and accurately evaluate the risk of chemical production, help companies find the key prevention direction of accidents, strengthen safety supervision, and prevent the occurrence of fire and explosion accidents. It provides a reference for the application of AHP-fuzzy comprehensive evaluation method in chemical engineering evaluation in the future.
Analyzing drought conditions using NDVI in Coke, Texas
Authors: Yuan Xingyu 
Published: October 2020

Abstract
In this research, drought in Coke County, Texas is analyzed using Normalized Difference Vegetation Index (NDVI) derived from remotely sensed Landsat data. Shrub, crop, and evergreen are focused to analyze their response to a drought event. The study reveals that pre-drought NDVI in 2009 is found to be higher than post-drought NDVI in 2011. The dominant vegetation, shrub, is most affected by drought, and the crop is least affected by drought. The study of dominant vegetation type can be used to monitor and study the severity and status of local drought.
Research on Strength Test Technology of Bogie Frames
Authors: Cao Yu 
Published: October 2020

Abstract
The bogie frames play a vital role in the reliable operation of rolling stocks. In order to more effectively test the performance of the bogie frames’ strength, a test plan of bogie frames’ static tests and fatigue tests is designed according to related standards which is carried out by calculating the load and applying the load spectrum and combined with Goodman diagram to evaluate the structural performance of bogie frames. The research on the strength test technology of bogie frames provides an important guarantee for the operation safety of the railway system.
Predicting in BIM Labour Cost with a hybrid approach Simple Linear Regression and Random Forest
Authors: Wang Jun Ze , Zhang Jie 
Published: October 2020

Abstract
In most cases, BIM labour cost can only be calculated through the proportion of the gross floor area according to the practical projects, which always brings unpredictable risks to project managers since this simple method of linear regression contains a high risk of estimating error in construction phases. Therefore, this study will develop a new hybrid methodology which combines the Random Forest and Simple Linear Regression for eliminating the error of prediction on BIM labour cost in construction phases. A case study will be conducted to illustrate the prediction results through four completed projects, including two steel structure and two reinforced concrete projects.
Summary of regional innovation ecosystem research
Authors: Li Jian-bo , Zhang Rui 
Published: October 2020

Abstract
With the dramatic change of the world innovation environment, the innovation model is moving from the traditional innovation paradigm 1.0 (linear paradigm) and interactive innovation paradigm 2.0 (innovation system) to the era of innovation paradigm 3.0, that is, the innovation ecosystem. Innovation ecosystem is related to national economic development and international competitiveness, in the current economic situation is a very important part of the industry and scholars. By searching the relevant literature on the innovation ecosystem at home and abroad in the past five years, this paper summarizes the relevant research results around the concept, theory and research methods of the innovation ecosystem at the regional level, summarizes the current research deficiencies, and looks forward to the future research direction and focus, with a view to providing reference and enlightenment for the relevant research in China.
Diagnostic accuracy of the 4AT for delirium detection in older adults: systematic review and meta-analysis
Authors: Tieges Zoë , Maclullich Alasdair M J , Anand Atul , Brookes Claire , Cassarino Marica , O’connor Margaret , Ryan Damien , Saller Thomas , Arora Rakesh C , Chang Yue , Agarwal Kathryn , Taffet George , Quinn Terence , Shenkin Susan D , Galvin Rose 
Published: October 2020

Abstract

Objective
Detection of delirium in hospitalised older adults is recommended in national and international guidelines. The 4 ‘A’s Test (4AT) is a short (&lt;2 minutes) instrument for delirium detection that is used internationally as a standard tool in clinical practice. We performed a systematic review and meta-analysis of diagnostic test accuracy of the 4AT for delirium detection.

Methods
We searched MEDLINE, EMBASE, PsycINFO, CINAHL, clinicaltrials.gov and the Cochrane Central Register of Controlled Trials, from 2011 (year of 4AT release on the website www.the4AT.com) until 21 December 2019. Inclusion criteria were: older adults (≥65 years); diagnostic accuracy study of the 4AT index test when compared to delirium reference standard (standard diagnostic criteria or validated tool). Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Pooled estimates of sensitivity and specificity were generated from a bivariate random effects model.

Results
Seventeen studies (3,702 observations) were included. Settings were acute medicine, surgery, a care home and the emergency department. Three studies assessed performance of the 4AT in stroke. The overall prevalence of delirium was 24.2% (95% CI 17.8–32.1%; range 10.5–61.9%). The pooled sensitivity was 0.88 (95% CI 0.80–0.93) and the pooled specificity was 0.88 (95% CI 0.82–0.92). Excluding the stroke studies, the pooled sensitivity was 0.86 (95% CI 0.77–0.92) and the pooled specificity was 0.89 (95% CI 0.83–0.93). The methodological quality of studies varied but was moderate to good overall.

Conclusions
The 4AT shows good diagnostic test accuracy for delirium in the 17 available studies. These findings support its use in routine clinical practice in delirium detection.

PROSPERO Registration number
CRD42019133702.
Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches
Authors: Zhao Tianyi , Hu Yang , Cheng Liang 
Published: October 2020

AbstractMotivation: The functional changes of the genes, RNAs and proteins will eventually be reflected in the metabolic level. Increasing number of researchers have researched mechanism, biomarkers and targeted drugs by metabolites. However, compared with our knowledge about genes, RNAs, and proteins, we still know few about diseases-related metabolites. All the few existed methods for identifying diseases-related metabolites ignore the chemical structure of metabolites, fail to recognize the association pattern between metabolites and diseases, and fail to apply to isolated diseases and metabolites. Results: In this study, we present a graph deep learning based method, named Deep-DRM, for identifying diseases-related metabolites. First, chemical structures of metabolites were used to calculate similarities of metabolites. The similarities of diseases were obtained based on their functional gene network and semantic associations. Therefore, both metabolites and diseases network could be built. Next, Graph Convolutional Network (GCN) was applied to encode the features of metabolites and diseases, respectively. Then, the dimension of these features was reduced by Principal components analysis (PCA) with retainment 99% information. Finally, Deep neural network was built for identifying true metabolite-disease pairs (MDPs) based on these features. The 10-cross validations on three testing setups showed outstanding AUC (0.952) and AUPR (0.939) of Deep-DRM compared with previous methods and similar approaches. Ten of top 15 predicted associations between diseases and metabolites got support by other studies, which suggests that Deep-DRM is an efficient method to identify MDPs. Contact: liangcheng@hrbmu.edu.cn. Availability and implementation: https://github.com/zty2009/GPDNN-for-Identify-ing-Disease-related-Metabolites.
Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data
Authors: Zuo Chunman , Chen Luonan 
Published: October 2020

Abstract
Simultaneous profiling transcriptomic and chromatin accessibility information in the same individual cells offers an unprecedented resolution to understand cell states. However, computationally effective methods for the integration of these inherent sparse and heterogeneous data are lacking. Here, we present a single-cell multimodal variational autoencoder model, which combines three types of joint-learning strategies with a probabilistic Gaussian Mixture Model to learn the joint latent features that accurately represent these multilayer profiles. Studies on both simulated datasets and real datasets demonstrate that it has more preferable capability (i) dissecting cellular heterogeneity in the joint-learning space, (ii) denoising and imputing data and (iii) constructing the association between multilayer omics data, which can be used for understanding transcriptional regulatory mechanisms.
vSampler: fast and annotation-based matched variant sampling tool
Authors: Huang Dandan , Wang Zhao , Zhou Yao , Liang Qian , Sham Pak Chung , Yao Hongcheng , Li Mulin Jun 
Published: October 2020

Abstract

Summary
Sampling of control variants having matched properties with input variants is widely used in enrichment analysis of genome-wide association studies/quantitative trait loci and negative data construction for pathogenic/regulatory variant prediction methods. Spurious enrichment results because of confounding factors, such as minor allele frequency and linkage disequilibrium pattern, can be avoided by calibration of statistical significance based on matched controls. Here, we presented vSampler which can generate sets of randomly drawn variants with comprehensive choices of matching properties, such as tissue/cell type-specific epigenomic features. Importantly, the development of a novel data structure and sampling algorithms for vSampler makes it significantly fast than existing tools.

Availability and implementation
vSampler web server and local program are available at http://mulinlab.org/vsampler.

Supplementary information
Supplementary data are available at Bioinformatics online.
Reducing Catheter-associated Urinary Tract Infections via Cost-saving Diagnostic Stewardship
Authors: Luu Allison , Dominguez Fernando , Yeshoua Brandon , Vo Christopher , Nallapa Swathi , Chung David , Wald-Dickler Noah , Butler-Wu Susan M , Khaleel Huda , Chang Kate , Canamar Catherine P , Holtom Paul , Spellberg Brad 
Published: October 2020

Abstract
We conducted a quality improvement project at our large, public, tertiary-care, academic hospital to reduce the standardized infection ratio (SIR) of hospital-acquired catheter-associated urinary tract infections (CAUTIs). Our diagnostic stewardship program, based on education and audit and feedback, significantly reduced inpatient urine culture orders and CAUTI SIR.