bluuebunny/crossref_metadata_2025_split huggingface dataset:
Face and cultural conceptualizations in German-Brazilian business exchanges
Authors: Mendes de Oliveira Milene 
Published: March 2020

AbstractFollowing up on recent calls for studies dealing with first-order understandings of face (Arundale 2013;Haugh 2013), this paper presents arguments in favor of an empirical investigation of cultural conceptualizations (Sharifian 2011) underlying these first-order (or emic) models. The arguments are based on the findings of a study on business communication in international contexts (Mendes de Oliveira 2020). The study comprises the analysis of (a) interviews with business people from different sectors and (b) a compilation of e-mails exchanged by Brazilian and German employees of a healthcare company. I focus specifically on conceptualizations of ‘respect in business negotiations’ (Mendes de Oliveira 2017) as well as on their pragmatic instantiations in e-mails. For instance, the recurrent image schemavertical splittingin the Brazilian interview excerpts on the topic of respect in business negotiations is shown to be pragmatically instantiated in terms of how participants acknowledge ‘hierarchy’ in their construals of face in e-mail interactions. The image schemahorizontal splittingis shown to be related to how German participants construe ‘face’ as a transactional phenomenon in the e-mail exchanges. I conclude that cultural conceptualizations play an important role in the Brazilian and German emic models of face. Future studies can take the reflections presented in this paper into consideration in order to strengthen the arguments that favor the inclusion of culturally-based views on face into an overarching theoretical model of face (Arundale 2013).
Reported speech in earthquake narratives from six Tibeto-Burman languages
Authors: Gawne Lauren , Hildebrandt Kristine A. 
Published: March 2020

AbstractThis paper is an analysis of the use of reported speech in six Tibeto-Burman languages from two closely-related sub-branches (Tamangic and Tibetic). The data come from a set of interview narratives about people’s experiences of the 2015 earthquakes in Nepal. The analysis begins with an examination of the relationship between reported speech, overt subjects and ergativity. We also look at reported speech and evidentiality, including grammatical reported speech evidentials. Structural features discussed include hybrid reported speech and multiple clause relationality. Interactional features discussed include the use of deictic shift, prominent subordination, and the multiple functions of reported speech forms, as well as zero-marked reported speech events. This analysis highlights the benefits of studying linguistic features such as reported speech in narrative context. We conclude with the implications of this usage-based analysis in the coverage of reported speech in descriptive grammars.
A comparison of vowel harmony in Xinkan, Jicaquean, and Lencan
Authors: Rogers Christopher , Hamp Barrett 
Published: March 2020

AbstractThe Xinkan, Jicaquean, and Lencan language families are isolates. However, they show similarities in their vowel co-occurrence restrictions within morphemes. This paper compares and contrasts the harmonic patterns in each of these language families and concludes that similarities are likely due to contact between their speakers. This suggests that Xinkan, Jicaquean and Lencan speakers existed in a sort of micro-language area, a small-scale scenario of contact that shows unique indications of contact near or within the more dispersed scenarios of contact and borrowing acknowledged throughout Mesoamerica.
Effect of a diamond layer on the active electrode on the ozone generation of the dielectric barrier discharge in air
Authors: Pekárek Stanislav , Babchenko Oleg , Mikeš Jan , Kromka Alexander 
Published: March 2020

Abstract
We investigated the effect of a non-doped diamond layer deposition on the active electrode of the dielectric barrier discharge in the air on its electrical characteristics and ozone generation. We found that this new non-traditional application of diamond layers affects electrical parameters of the discharge and increases not only the concentration of ozone produced by the discharge but also ozone production yield by ∼70%. Considering obtained results together with the high corrosion resistivity and chemical inertness of the diamond layers, the application of these layers on the dielectric barrier discharge electrode can be an interesting alternative to the usage of photocatalysts for the enhancement of ozone generation by electrical discharges.
Normalization of multicenter CT radiomics by a generative adversarial network method
Authors: Li Yajun , Han Guoqiang , Wu Xiaomei , Li Zhen Hui , Zhao Ke , Zhang Zhiping , Liu Zaiyi , Liang Changhong 
Published: March 2020

Abstract
To reduce the variability of radiomics features caused by computed tomography (CT) imaging protocols through using a generative adversarial network (GAN) method. In this study, we defined a set of images acquired with a certain imaging protocol as a domain, and a total of four domains (A, B, C, and T [target]) from three different scanners was included. In data set#1, 60 patients for each domain were collected. Data sets#2 and #3 included 40 slices of spleen for each of the domains. In data set#4, the slices of three colorectal cancer groups (n = 28, 38 and 32) were separately retrieved from three different scanners, and each group contained short-term and long-term survivors. Seventy-seven features were extracted for evaluation by comparing the feature distributions. First, we trained the GAN model on data set#1 to learn how to normalize images from domains A, B and C to T. Next, by comparing feature distributions between normalized images of the different domains, we identified the appropriate model and assessed it, in data set#2 and data set#3, respectively. Finally, to investigate whether our proposed method could facilitate multicenter radiomics analysis, we built the least absolute shrinkage and selection operator classifier to distinguish short-term from long-term survivors based on a certain group in data set#4, and validate it in another two groups, which formed a cross-validation between groups in data set#4. After normalization, the percentage of aligned features between domains A versus T, B versus T, and C versus T increased from 10.4 %, 18.2% and 50.1% to 93.5%, 89.6% and 77.9%, respectively. In the cross-validation results, the average improvement of the area under the receiver operating characteristic curve achieved 11% (3%–32%). Our proposed GAN-based normalization method could reduce the variability of radiomics features caused by different CT imaging protocols and facilitate multicenter radiomics analysis.
Development of a defect recognition algorithm for visual laser-induced damage detection
Authors: Somoskoi T , Vass Cs , Jojart P , Santha P , Osvay K 
Published: March 2020

Abstract
Laser-induced damage is defined as a permanent detrimental change in the characteristics of an optical element caused by a laser beam. This change can be observed by many different inspection techniques, of which optical and phase imaging microscopic techniques have superior sensitivity. However, such examinations conducted by human operators are relatively slow and subjective—so they cannot be used for online damage monitoring purposes, whereas automatic inspection systems have advantages in terms of sensitivity, reliability, and speed. In this paper we introduce a new method for the computer-aided recognition of damaged sites based on visual images taken from the sample surface by a CCD camera. The evaluation procedure is performed by a computer algorithm, which consists of exact, statistically established steps. It includes noise reduction by considering the statistical behavior of photon noise. Besides, it takes into account the spatial extent of a damage spot by nonlinear image filtering to separate damage-indicating intensity changes from random noise. This mimics the ability of the human eye to distinguish features from their surroundings. The evaluation algorithm is built of computationally less demanding mathematical operations to enable fast execution which is vital for monitoring at high repetition rates. The proposed method was tested on a sizeable dataset of images yielding 98.8% of damage detection efficiency. It was also compared to a generally used visual laser damage detection procedure, which has a success rate of 88.6%. This yields one order of magnitude reduction in the number of undetected damaged sites.
Sustainability assessment of activated carbon from residual biomass used for micropollutant removal at a full-scale wastewater treatment plant
Authors: Joseph Ben , Kaetzl Korbinian , Hensgen Frank , Schäfer Bernhard , Wachendorf Michael 
Published: March 2020

Abstract
Activated carbon (AC), used for removal of organic micropollutants in European wastewater treatment plants (WWTPs), is usually produced from non-renewable resources that need to be transported over long distances. Utilising local residual biomass as a raw material may be advantageous in terms of sustainability. This study investigated the environmental and energy balances of using biowaste and biomass from landscape management for micropollutant removal at a commercial scale WWTP. Both residual biomasses were processed using the integrated generation of solid fuel and biogas from biomass (IFBB) technique to obtain a press cake that was used as feedstock for AC production. The results showed a lower global warming potential (GWP) and cumulative energy demand in comparison to a fossil-based conventional AC Differences in GWP between residual and fossil ACs were enhanced when the end-of-life incineration step was considered, and residual AC had a lower social risk associated with its production. Energy efficiency of AC production was substantially increased by utilising waste heat generated in the pyrolysis process of biochar production and by using electricity generated in a combined heat and power plant using biogas from the methanation of IFBB press fluids. Converting residual biomass into activated carbon using IFBB and a state-of-the-art pyrolysis and activation unit along with energy recovery would improve WWTP sustainability and self-sufficiency in terms of the raw materials required.
Changing risk factors that contribute to premature mortality from ambient air pollution between 2000 and 2015
Authors: Chowdhury Sourangsu , Pozzer Andrea , Dey Sagnik , Klingmueller Klaus , Lelieveld Jos 
Published: March 2020

Abstract
Exposure to ambient air pollution is a major global health risk factor. Using recently updated hazard ratio functions, we estimate that the global premature mortality burden attributable to ambient PM2.5 and O3 exposure increased by about 30% and 17%, respectively, from 2000 to 2015. We analyzed these trends in terms of tradeoffs between changes in baseline mortality, population size, age distribution and exposure. Global population growth alone increased the mortality burden by about 29% and 42% among adults and children, respectively. On the other hand, decreasing baseline mortality during the same period lowered the burden by about 18% and 55% among adults and children, respectively. In high-income countries, aging of the population contributed to increasing premature mortality, while in low-income countries, in Central and West Africa for example, the growing youth population reduced premature mortality. Our results show that improved air quality generally does not keep up with the increasing air pollution-associated disease burden in middle- and high-income countries. We conclude that improvements in health care that reduce baseline mortality along with air pollution mitigation strategies are needed to maximize benefits, and counter the growth and aging of the global population.
Adaptation time to magnified flood hazards underestimated when derived from tide gauge records
Authors: Lambert Erwin , Rohmer Jeremy , Le Cozannet Gonéri , van de Wal Roderik S W 
Published: March 2020

Abstract
Sea-level rise magnifies flood hazards, raising the question when adaptation measures need to be taken. Here, we quantify when the recurrence of extreme water level events will double due to projected sea-level rise. Reproducing the most common method based on extreme water levels observed with tide gauges, at least one third of the coastal locations are to expect a doubling of extremes within a decade. However, tide gauges are commonly placed in wave-sheltered harbours where the contribution of waves to water levels is much smaller than at nearby wave-exposed coastlines such as beaches and dikes. In this study, we quantify doubling times at a variety of idealised shorelines based on modelled tides, storm surges and waves. We apply an extreme value analysis that accounts for the joint probability of extreme storm surges and extreme waves. Our results indicate that doubling times at wave-exposed shorelines are longer than those in wave-sheltered harbours, allowing for more time to adapt to magnified flood hazards. The median doubling times of average water levels including parameterised wave set-up are 1.2 to 5 times longer than those of still water levels as observed with tide gauges. For instantaneous water levels including wave run-up, doubling times are an additional 30% to 100% longer. We conclude that tide gauge-based analyses underestimate adaptation times by underestimating the contribution of waves to extreme water levels, and provide a quantitative framework to guide adaptation policy at wave-exposed shorelines.
Capacity of the covariance perceptron
Authors: Dahmen David , Gilson Matthieu , Helias Moritz 
Published: March 2020

Abstract
The classical perceptron is a simple neural network that performs a binary classification by a linear mapping between static inputs and outputs and application of a threshold. For small inputs, neural networks in a stationary state also perform an effectively linear input–output transformation, but of an entire time series. Choosing the temporal mean of the time series as the feature for classification, the linear transformation of the network with subsequent thresholding is equivalent to the classical perceptron. Here we show that choosing covariances of time series as the feature for classification maps the neural network to what we call a ‘covariance perceptron’; a mapping between covariances that is bilinear in terms of weights. By extending Gardner’s theory of connections to this bilinear problem, using a replica symmetric mean-field theory, we compute the pattern and information capacities of the covariance perceptron in the infinite-size limit. Closed-form expressions reveal superior pattern capacity in the binary classification task compared to the classical perceptron in the case of a high-dimensional input and low-dimensional output. For less convergent networks, the mean perceptron classifies a larger number of stimuli. However, since covariances span a much larger input and output space than means, the amount of stored information in the covariance perceptron exceeds the classical counterpart. For strongly convergent connectivity it is superior by a factor equal to the number of input neurons. Theoretical calculations are validated numerically for finite size systems using a gradient-based optimization of a soft-margin, as well as numerical solvers for the NP hard quadratically constrained quadratic programming problem, to which training can be mapped.
Structural Vibration Control of the Spatial Suspended Mass Pendulum
Authors: Huang Chen , Huo Linsheng 
Published: March 2020

Abstract
Due to limitations of the simplified model of the suspended mass pendulum (SMP), a spatial model is proposed in the study. The kinetic equations of the host structure with a spatial SMP are established. The numerical analysis is conducted to analyze spatial vibrations of the SMP and their influence on the structural vibration. Comparing the simulation results, it is found that spatial vibrations of the SMP can be simulated better through the spatial model.
Research on Design Method of Axial Compressive Capacity of Circular CFST Slender Columns
Authors: Gao Pan , Yang Chang , Yu Zhixiang 
Published: March 2020

Abstract
With the emergence of large-span spatial structures and high-rise buildings, circular concrete filled steel tubular (CFST) slender columns are necessary to be used in practical projects. In order to discuss the calculation method of the axial compressive strength of circular CFST long columns, especially slender columns, three codes of EC4, AISC and AIJ are compared and analysed based on the existing experimental data of 105 long columns collected from previous literatures. It is found that EC4 and AIJ can provide accurate prediction for long columns with length-diameter (L/D) ratio less than 20, and EC4 is more stable. However, for slender columns when L/D ratio is greater than 20, the deviations of the calculated values of these three codes lose guidance. Furthermore, it is found that the deviation between the calculated and measured values of EC4 performs a power function with L/D ratio. Therefore, based on the calculation formula of EC4, a revised coefficient of L/D ratio is proposed, so that the revised formula can accurately predict the axial compressive capacity of slender columns without affecting the prediction of short columns.
Study on Static Elastoplastic Analysis of a High-Rise Frame-Shear Wall Structure
Authors: Zhang Xu , Sheng Fan , Ma Jianqiang 
Published: March 2020

Abstract
Static elastoplastic analysis is a widely used method to evaluate the seismic performance of structures. The project example in this paper is the high-rise frame-shear wall structure of the second phase (Yongsheng homeland) of the Baisha resettlement area in Zhengdong New Area. The three-dimensional integral model is used to calculate the force of the building under earthquake using the static elasto-plastic analysis method. Analysis was conducted to obtain the stress conditions of high-rise buildings against plastic deformation, and the sequence of the plastic hinges, and the unfavorable floors of the high-rise structure were identified, which provided guidance for the design of such structures.
Study on Geological Structure and Gas Content Occurrence Regularity of Gas Mine
Authors: He Jiangyi , Lei Wulin , Zheng Chao 
Published: March 2020

Abstract
This paper systematically analyzes the distribution characteristics of geological structure of high gas mine, discusses the influence of geological structure on coal seam gas deposit, and obtains the distribution law of gas in the mine. The relationship between the original gas content of coal seam and the factors such as elevation of bottom plate, depth of coal seam and thickness of overlying bedrock is established. Then effectively guide the coal mine gas management, for the mine coal bed gas reserve budget and gas extraction standard effect evaluation provides a reference.
Seismic Vulnerability Analysis of High-Rise Composite Frame Concrete Tube Composite Structure
Authors: Zhang Shuyun , Zhou Jie , Hao Yonglei 
Published: March 2020

Abstract
In order to study the possibility of structural failure of high-rise composite frame-concrete tube structure under different earthquake intensity, seismic vulnerability analysis of the structure is carried out based on IDA principle, and its seismic performance is evaluated. Taking 30-storey high-mixing structure as an example, eight seismic records are selected. After amplitude modulation, non-linear dynamic time history analysis is carried out. PGA, PGV and Sa are selected as seismic intensity parameters, and the maximum inter-storey displacement angle is selected as structural performance index. IDA curve clusters are obtained. Quantile curve method is used to analyze and analyze the results. It is concluded that PGA strength index is more effective. The seismic performance of this kind of structure is evaluated effectively, and then the vulnerability curve and vulnerability matrix are obtained. The analysis results show that the hybrid structure can meet the requirements of “three-level” seismic response and has good seismic performance under 8-degree frequent, basic and rare earthquakes.
Computational Analysis of Damping Devices in Mitigating Seismic Response of a Concrete Structure
Authors: Fan Xuefeng , Wang Shijun 
Published: March 2020

Abstract
In the area of earthquake, it is essential for structures to survive to mitigate their seismic responses. And among the most common strategies, the application of damping devices is of significant feasibility for its unarguable effects and being extremely straightforward. Dampers always work following an identical physical rule, however, difference in their position and shapes can enlarge the disparity in effects. To explore the difference, this research analysed the effect of damping devices installed in a particular concrete structure, where dampers are in different shapes but close in cost. The Finite element modelling technology is applied in simulation of the seismic response of concrete structure equipped with the dampers. According to the comparison of effects for different dampers, this research provided a reasonable suggestion for choosing damping devices.
Impact of the Fire Propagation on the Residual State of the Peripherally Supported Grid Structure
Authors: Tang Gan , Shi Renyi , Li Zhanjie , Yin Lingfeng , Li Weiwei 
Published: March 2020

Abstract
The objective of this paper is to computationally investigate the structural residual states of the peripherally supported grid structure under different fire propagation paths and reveal the path impact on the structure. The results demonstrate that the fire propagation path has a significant impact on the residual deformation of the grid structure while it has negligible impact on the distribution of residual axial member force. Hence, the structural residual states are quite different of different fire propagation paths.
Seismic Performance of Buckling Restrained Braced Steel Frames Considering BRB Connection
Authors: Jia Mingming , Liu Kai , Hong Cheng , Brwa Ahmed Saed 
Published: March 2020

Abstract
Previous studies of BRBF showed that there are two main requirements to reach the desired mechanical behaviour of buckling restrained braced frames (BRBF) under seismic loadings. This behaviour could be represented by sufficient plastic deformation and ductility capability of core plate member. 1) The first requirement is to prevent overall buckling of BRB; and 2) the second requirement is to prevent out-of-plane buckling of gusset plates. This study focuses on the second main requirement through presenting finite element analysis results of several proposed gusset plates and two joint sections for connecting core plate member with gusset plate. Further, study the impact of proposed gusset plates and joint sections on behaviour of steel frames. The pushover analysis that performed in this study is followed the method that discussed in AISC-2010 Seismic Provision manual. Therefore, the proposed connection of buckling restrained braced steel frame required to sustain cyclic loadings start with elastic drift up to two times of design drift. The analysis results showed that the proposed connections sufficiently sustain all the axial force from BRB without out-of-plane buckling occurs or losing the stable hysteretic response of the BRB, finding that the equal dimensions of gusset plate vertical length and horizontal length has much better effect on frame.