bluuebunny/crossref_metadata_2025_split huggingface dataset:
From have-omission to supercompounds
Authors: Fryd Marc 
Published: November 2020

Abstract
This paper adopts an historical perspective to
shed light on syntactic patterns exhibiting
have-omission or have-doubling in
a language – English – where the forms in question have gone largely
unreported over the centuries, or have tended to be discarded as
‘non-standard’ by prescriptive grammarians. At least one subtype of
supercompounds investigated here is reported for the first time in
this paper. Explanations for the attested patterns involve e.g.
prescriptivism, a universal tendency to avoid the (near-) adjacency
of identical grammatical structures, and the normative pressure to
ban several occurrences of have. In a comparison
with cognate structures in closely related languages, semantic
traits of these constructions are identified, e.g. irrealis
(have-omission), resultative, and experiential
(supercompounds). Nevertheless, a remainder of the examples are not
captured by these semantic descriptions, but possibly result from
functional overlap between modal and perfect constructions, or
“copying” of morphosyntactic features across constructions in a
discourse.
Study on the Factors Influencing the Degradation of Cellulose Acetate Filter Rod
Authors: Zheng Han , Wang Hao , Zhan Jianbo , Fu Rongrong , Li Xiangzhen , Xie Jiao , Li Geng , Yu Zhenhua , Yue Baoshan 
Published: November 2020

Abstract
Cellulose acetate filter rod is the most mature and widely used filter material for cigarette development, but it is difficult for cellulose acetate to degrade in natural conditions. Orthogonal experiment is applied to simulate the degradation environment of different filter rod soil burial method by using temperature, humidity, pH value and degradation time in this paper. The results showed that the cellulose acetate filter rod with uncoated wrapping paper could reach the maximum degradation rate of 33.78% in the orthogonal design experiment when the temperature was 40 °C, the relative humidity was 20%, the pH value of soil was 6.0, and the degradation time was 28 days; the cellulose acetate filter rod with uncoated wrapping paper could reach the maximum degradation rate of 33.78% in the orthogonal design experiment when the temperature was 40 °C, the relative humidity was 20%, the pH value of soil was 5.0, and the degradation time was 28 days, and the highest degradation rate of n-ca filter rod was 35.56%.
Preparation and Tribological Properties of bionic materials with nacre shell structure
Authors: Lijie Han 
Published: November 2020

Abstract
Ceramic materials have many advantages, such as high hardness, wear resistance, self lubrication in the process of friction, but there are also some inherent defects, such as brittle texture and poor toughness. By observing the microstructure of shell pearl layer, a kind of bionic composite ceramic with brick wall structure can greatly improve the natural defects of ceramic materials, and greatly expand the application range of ceramic materials. The tribological properties of materials are of great significance to the efficiency and service life of mechanical structures. Therefore, four kinds of ceramic composites with nacre shell structure with gradient concentration were prepared by freeze casting and standard polymerization, and the tribological properties of five materials were characterized. The experimental results show that when the loading load is large, the friction coefficient of material surface varies with the material With the increase of PMMA content, the friction coefficient of the material shows an upward trend.
On the detection of defects on smooth free metallic paint surfaces
Authors: Guo Pan , Cao Pin , Zhang Pengfei , Chen Shiwei , Yang Yongying 
Published: November 2020

Abstract
In view of the difficulty of automatic detection of defects on smooth free metallic paint surfaces, a simple and effective automatic detection system based on deflection principle is proposed in this paper. This system consists of cameras and a set of striped lights. A series of images can be acquired at a certain frequency by camera. And the detection algorithm is divided into three steps. In the first step, the square-difference fusion method and minimum fusion method are used to fuse a group of the standard images to obtain two fusion images, which are used to extract the ROI and partial template. In the second step, partial template is used to perform template matching and correction on the fusion images. In the last step, extraction of mask, extraction of defects, and screening of defects are performed on the corrected fusion image to extract defects. To detect complex metallic paint surfaces of the car, the experimental results demonstrate that the defects detection accuracy can reach 85% and the defect recognition size can reach 0.1mm.
Time-of-flight diffraction technique for Pressure Equipment
Authors: Lei LYU , Yanfei ZHANG , Zengwei SUN 
Published: November 2020

Abstract
This paper mainly introduced the application of TOFD technique in pressure equipment, and systematically discussed the principle of TOFD technique. The development of TOFD technique and the influence of TOFD technique on the attenuation of acoustic beam in austenitic stainless steel were introduced. In addition, the reasons and solutions of the blind area on the surface of TOFD technique were explained, and the application of TOFD technique in pressure parts was prospected.
Research on RC Frame Structure’s Resistance to Continuous Collapse
Authors: Ke Changren , He Tingting 
Published: November 2020

Abstract
A typical 8-story RC frame structure model with floor is established by using ABAQUS finite element software. The nonlinear static analysis method and the incremental dynamic analysis method are used to explore the influence of the floor slabs after the demolition on the continuous collapse resistance of the RC frame structure at the same time. Determine the most reasonable amount of reinforcement that meets the requirements for continuous collapse resistance of the frame beams of each layer, and the layer height that is most beneficial to the structure’s continuous collapse resistance.It is concluded that the floor can greatly improve the continuous collapse resistance of the overall structure, and the nonlinear static analysis is conservative; the amount of longitudinal reinforcement in each frame beam should be increased by 1.9% ~ 2.9% to meet the most reasonable requirements for continuous collapse of the frame beam; the floor height is between 4.3 and 4.8 meters, which is the most ideal state for the structure to resist continuous collapse.
Numerical Analysis on the Sandy Slope Reinforced with Sand Bags
Authors: Li Jingshuang 
Published: November 2020

Abstract
In recent decades, many expressways and railways have been construction in Western China. One of important projects is Menghua Railway as a major energy transportation line. Since most of its Contract I routine is located in Maowusu Desert, it seems the first choice is to utilize the sandy soil to construct the railway subgrade. The sand bag structure is explored as a reinforcement method for as railway sandy subgrade by numerical analysis. The Flac3D is selected as the calculation tool with its GeogridSEL structural element used to simulate the function of geotextile bag. It is assumed the geotextiles remain elastic in the calculation, and the failure occurs at the interface between geotextiles and surrounding soil. The results show that when bagged sand is used, the internal friction angle of sandy soil can be appropriately reduced, or a steeper slope can be used, but the friction angle between bagged sand and geotextile is required to be larger. At the same time, if the internal friction angle of sand is small, in order to obtain a smaller slope, geotextile is required to be subjected to a larger tensile stress.
An automated on-line clinical mastitis detection system using measurement of electrical parameters and milk production efficiency
Authors: Fuyang Tian , Zhonghua Wang , Sufang Yu , Benhai Xiong , Shunxi Wang 
Published: November 2020

Abstract
This study aims to assess a novel method for automatic on-line detection of clinical mastitis in an automatic milking system using the measurement of electrical parameters, data of milk production efficiency and neural network from the novel mastitis detection sensor. The sensors were used to measure following 9 parameters: the quarter-level milk yield (MY; kg), average electrical conductivity in milking session (AEC; mS/cm), pH of milk (pH), temperatures of milk (TP; °C), milk production efficiency (MPE; kg/h) between successive milking sessions, milking time(MT; min), Milking efficiency (ME; kg/min), Milk production time(MPT; kg/h), cow number. The 9 measurements were inputted into a neural network to calculate the mastitis detection index. The network was trained with 44 healthy and 6 clinical mastitic cows. 42 of 44 healthy and 5 of 6 mastitic cows were classified correctly after training. The trained neural network predicted 164 of 176 healthy quarters correctly in different evaluation data sets. These results were better than the results obtained with the model usually used on the farm.
Creep Life Prediction of Heat-resistant Steel using Kachanov Model
Authors: Yu Hong , Shao Zhenzhen , Ren Facai 
Published: November 2020

Abstract
The accurate prediction of creep life is very important for the safety of the equipment used at high temperature. A series of creep tests of modified 9Cr-1Mo heat-resistant steel were carried out by using creep specimens machined from the plate at the temperatures of 565°C with stress ranging from 200 to 250MPa. The creep life of modified 9Cr-1Mo heat-resistant steel was estimated using the Kachanov creep damage model. The results show that the Kachanov creep damage model can be used to predict the creep life well.
A V2X-Assisted Intelligent Vehicle Target Tracking Method
Authors: Yu Lingling , Yang Fandi , Zhu Yunsheng , Cen Ming 
Published: November 2020

Abstract
In the target tracking scene of connected intelligent vehicles, besides onboard sensors, the V2X is an important approach to acquire target information. In this paper, a target tracking method which introduces the targets’ identity provided by V2X to improve the data association is proposed. The measurements are associated with targets according to conventional method firstly, and then the position data from V2X is used to update the association probability between tracks and measurements. The simulation results show that the proposed method can improve the performance of the target tracking.
Investigation on the Influence of Load on the Strength of Large Wind Turbine Hubs
Authors: Zhao Yang , Dai Pengzhu , Chen Zhixiang , Zhou Qinkai , Ma Ying 
Published: November 2020

Abstract
In order to study the influence of different direction loads on the strength of a 5 megawatt large-scale wind turbine hub, a three-dimensional finite element model of the wind turbine is established in this paper. Based on the wind turbine design software GH Bladed, the ultimate working load is extracted, and the numerical analysis method is used to analyze the ultimate strength of the hub. Furthermore, it discusses the sensitivity analysis of the hub’s ultimate stress to the change of the load, and provides guiding suggestions for the hub strength safety assessment and lightweight design.
State Recognition of Mill Load Based on Improved K-means Clustering Algorithm
Authors: Gao Yunpeng , Wu Cong , Peng Jizong , Lu Yuchen 
Published: November 2020

Abstract
In this work, a new identification method for the load identification of ball mill based on improved K-means clustering is proposed. Since the external device response signals of ball mill are closely related to its load during the operation, the appropriate parameters are selected. The number of clusters and initial clustering centers are meliorated based on their density and genetic algorithm. The dimensionality of input features are reduced with kernel principal component analysis (KPCA), and the final clustering centers are obtained by iterating in the space with reduced dimensionalities. Tests on datasets have demonstrated the higher accuracy and stability of our improved K-means method compared with other methods. The case-analysis results show that the mill load status can be identified clearly according to the displacement variations of cluster centers calculated by this method. Our research provides a new reference for mill load identification in the viewpoint of multi-source information fusion.
The design and implementation of "teaching-reproduction" algorithm for servo motor based on RFC 470 PLC
Authors: Xiao Yu , Kong Xiangyu , Zhang Yulin 
Published: November 2020

Abstract
Aiming at the characteristics of more swing and less rotation of the nozzle at the end of teaching-type sand-blasting robots, a motion control algorithm which can reproduce the swing and rotation trajectory of the servo motor is designed. The RFC 470 PLC of PHOENIX Contact is used as the control core to build the hardware experimental platform in this paper. In the process of teaching, the trajectories of the servo motor are saved to the data storage of the RFC 470 PLC by the algorithm and then the trajectories can be reproduced automatically. The experimental results show that the designed algorithm has high accuracy and can meet the needs of practical engineering application.
Cost-benefit analysis on remote maintenance for industrial robot
Authors: Zhi Hou , Nai-Yong Shi 
Published: November 2020

Abstract
The maintenance of industrial robots can be divided into two types: onsite maintenance and remote maintenance, each of which has its advantages and disadvantages. Firstly, the two types of maintenance modes, cost and benefit are analyzed and compared. While cost of on-site maintenance mainly includes downtime loss, maintenance cost and expert cost, downtime loss includes production loss and manpower waste, maintenance cost includes testing cost and material cost, and expert cost includes travel expense and labor cost. Cost of remote maintenance also includes downtime loss and maintenance cost, but does not include expert cost. Downtime loss and maintenance cost of remote maintenance is same as that of onsite maintenance, but the value is different. Then, cost-benefit method is used to analyze and establish cost-benefit model of two maintenance modes. Finally, an automobile manufacturing enterprise is taken as an example, and the cost and benefit of on-site maintenance and remote maintenance is analyzed and calculated to apply and verify the proposed method. The method proposed in this paper can provide help for the maintenance mode selection of industrial robots.
Model Error Analysis of Load Simulator System
Authors: Zheng Yanbin , Yu Zhenglin , Ma Guo Qing 
Published: November 2020

Abstract
The load simulator is the main semi-physical simulation equipment to detect the performance of the steering gear. Linear models or black box models are often used in load simulator modeling, but the modeling error needs to be further analyzed due to its prominent nonlinear and strong coupling characteristics. In this paper, the semi-physical simulation platform of the electric load simulator was built, and a linear model and a system identification model based on Artificial Neural Network (ANN) were established respectively. The error characteristics of the above models were further analyzed by statistical distribution and power spectral density. The research results can provide support for the controller design and the selection of state estimation method.
Buckling and Post-buckling Analysis of Flatness Deflects in High-strength automotive sheet
Authors: Jie-tao Dai , Feng Zhou , Huiyuan LI , Liejun Li 
Published: November 2020

Abstract
Shape defect is a common problem in the production of automobile plate. But, the wave type function used by previous scholars can not reflect the actual situation of the site well. To solve this problem, high-order trigonometric functions are used to describe wave patterns, it expresses the fact that the wave pattern does not cover the whole width. Based on the buckling theory of plates, the shape defect was investigated in this paper. Using S.Timoshenko principle of least work, a new mechanical model of longitudinal buckling was established. And the mathematic mode of critical buckling was achieved by Galerkin’s principle of virtual displacement, the path generation of post-buckling was found with Perturbation-Variational Method, and the mode of post-bucking was achieved. The rolling experiment was carried out in test rolling mill. In this experiment, variety of different shape defect model were obtained by designing different roll-shaped curves for work roll, and the mode was good in according to the analytical and numerical results.
Comparative Simulation Research on Stability of Layered and Homogeneous Surrounding Rocks
Authors: Zhou Heng , Huang Peng , Di Shengjie , Lu Xi 
Published: November 2020

Abstract
Layered surrounding rock mass is common in underground engineering, and it has obvious anisotropic mechanical properties. Therefore, the stability of the cavern excavation of layered surrounding rocks has always been a key issue in the engineering community. Based on an example of a hydraulic tunnel, the stability analysis of the excavation in cavern of the layered and homogeneous surrounding rocks are compared. The results show that the overall distribution of the stress field and displacement field of the layered and homogeneous surrounding rocks are basically the same. The stress field of the layered surrounding rocks has obvious discontinuous characteristics, and the deformation caused by excavation of the cavern is greater than the homogeneous surrounding rocks. The extent of the plastic zone along the joints of the layered surrounding rocks is also significantly larger than that of the homogeneous surrounding rocks.
Social partners and temperature jointly affect morning foraging activity of small birds in winter
Authors: Madsen Anastasia E , Vander Meiden Laura N , Shizuka Daizaburo 
Published: November 2020

Abstract
Daily foraging activity of small wintering birds is classically thought to be driven by the need to gather enough energy reserves to survive each night. A separate line of research has shown that sociality is a major driver in winter foraging activities in many species. Here, we used wintering birds as a study system to move toward an integrative understanding of the influence of energy requirements and sociality on foraging ecology. We used RFID-enabled feeders in Lincoln, Nebraska, USA in January–March 2019 to measure foraging activity in two species (downy woodpeckers, Dryobates pubescens, and white-breasted nuthatches, Sitta carolinensis). We analyzed the relationship between overnight temperature and morning foraging activity and found that lowest overnight temperature was weakly correlated with morning visitation at feeders. We then used a network approach to ask if flock associations explain similarity in birds’ foraging activity. In both species, individuals with stronger associations in a social network were more likely to share similar feeder activity, and an index of social partners’ activity explained foraging activity better than overnight temperature. This brings forth new questions about the interplay between individual response to temperature and social factors in shaping how small animals cope with harsh winter conditions.
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery
Authors: Chen Shaoqi , Xue Dongyu , Chuai Guohui , Yang Qiang , Liu Qi 
Published: November 2020

Abstract

Motivation
Quantitative structure-activity relationship (QSAR) analysis is commonly used in drug discovery. Collaborations among pharmaceutical institutions can lead to a better performance in QSAR prediction, however, intellectual property and related financial interests remain substantially hindering inter-institutional collaborations in QSAR modeling for drug discovery.

Results
For the first time, we verified the feasibility of applying the horizontal federated learning (HFL), which is a recently developed collaborative and privacy-preserving learning framework to perform QSAR analysis. A prototype platform of federated-learning-based QSAR modeling for collaborative drug discovery, i.e. FL-QSAR, is presented accordingly. We first compared the HFL framework with a classic privacy-preserving computation framework, i.e. secure multiparty computation to indicate its difference from various perspective. Then we compared FL-QSAR with the public collaboration in terms of QSAR modeling. Our extensive experiments demonstrated that (i) collaboration by FL-QSAR outperforms a single client using only its private data, and (ii) collaboration by FL-QSAR achieves almost the same performance as that of collaboration via cleartext learning algorithms using all shared information. Taking together, our results indicate that FL-QSAR under the HFL framework provides an efficient solution to break the barriers between pharmaceutical institutions in QSAR modeling, therefore promote the development of collaborative and privacy-preserving drug discovery with extendable ability to other privacy-related biomedical areas.

Availability and implementation
The source codes of FL-QSAR are available on the GitHub: https://github.com/bm2-lab/FL-QSAR.

Supplementary information
Supplementary data are available at Bioinformatics online.
From “Aha!” to “Haha!” Using Humor to Cope with Negative Stimuli
Authors: Wu Xiaofei , Guo Tingting , Zhang Chao , Hong Tzu-Yi , Cheng Chou-Ming , Wei Ping , Hsieh Jen-Chuen , Luo Jing 
Published: November 2020

Abstract
Humor has been considered an effective emotion regulation strategy, and some behavioral studies have examined its superior effects on negative emotion regulation. However, its neural mechanisms remain unknown. Our functional magnetic resonance imaging study directly compared the emotion regulation effects and neural bases of humorous coping (reappraisal) and ordinary reappraisal following exposure to negative pictures. The behavioral results suggested that humorous reappraisal was more effective in downregulating negative emotions and upregulating positive emotions both in the short and long term. We also found 2 cooperative neural pathways involved in coping with negative stimuli by means of humor: the “hippocampal–thalamic–frontal pathway” and the “amygdala–cerebellar pathway.” The former is associated with the restructuring of mental representations of negative situations and accompanied by an insightful (“Aha!”) experience, while the latter is associated with humorous emotional release and accompanied by an expression of laughter (“Haha!”). Furthermore, the degree of hippocampal functional connectivity with both the thalamus and frontal cortex was positively correlated with changes in positive emotion, and this result implied that the degree of emotion regulation could be strongly directly related to the depth of cognitive reconstruction. These findings highlight that regulating negative emotions with humor involves cognitive restructuring and the release of positive emotions.