bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pour une approche interprétative dans la traduction
littéraire
Authors: Ciobâcă Carmen-Ecaterina 
Published: March 2020

Résumé
L’article porte sur l’applicabilité de la
théorie interprétative de la traduction (TIT) à la traduction de la littérature.
Dans la première partie, nous présentons les lignes conceptuelles sur lesquelles
s’appuie la TIT, l’applicabilité de la TIT à la traduction
littéraire et les critiques formulées à son encontre. À la différence de la
traduction générale ou spécialisée, dans la traduction littéraire on distingue
le sens notionnel (informatif) du sens émotionnel (esthétique), le but de la
traduction étant l’équivalence d’effet. Dans la deuxième partie
du travail nous présentons l’applicabilité de la TIT à la traduction de
l’œuvre de Guy de Maupassant. Nous analysons la manière dont quelques
composantes de l’idiostyle de l’auteur (l’implicite, la
polysémie et l’ambiguïté, l’ironie, les euphémismes, les
culturèmes) sont traduites en roumain.
Translation and canon formation
Authors: Yu Shuang 
Published: March 2020

Abstract
As an essential part of the “Globalization of Chinese Culture”
strategy, the translation of Chinese fiction into English has gained more
significance and deserves more academic attention. Through making a survey of
Chinese fiction in English translation from 1978 to 2018, the article not only
presents different trajectories of the development of Chinese fiction in English
translation in mainland China and the English-speaking countries but also shows
that different canons of Chinese fiction in English translation have been formed
in the course of this development. Reasons for the formation of the prevailing
canon(s) are explored and explained from perspectives taking into account
concrete factors such as ideology, poetics and patronage as well as influences
of the literary award mechanism. Based on this description and explanation, the
article concludes with a few suggestions for the future development of cultural
activity of introducing Chinese literature into English-speaking countries.
Making a genealogy of “American linguistics” with John Eliot’sIndian Grammar Begun(1666)
Authors: Amsler Mark 
Published: March 2020

SummaryIn the history of linguistics John Pickering (1777–1846) and Stephen Du Ponceau’s (1760–1844) decision to reedit and republish John Eliot’s (ca. 1604–1690)The Indian Grammar Begunis an important but underrecognized event. Eliot’s grammar was first published in1666, but by the early 1800s had been mostly forgotten. Applying book history and critical discourse approaches, I argue the new 1822 edition assembled by Pickering and Du Ponceau was at the center of a newly emergent knowledge project aimed to establish an ‘American’ mode of comparative linguistics on the world intellectual stage. The grammatical analysis of Native American languages, especially Algonquin, and the critique of current European models and typologies of morphology and syntax, especially von Humboldt’s, were central to Pickering and Du Ponceau’s project. Du Ponceau may be “the father of American philology”, but he was not working alone nor did the concept of ‘Comparative Philology’ derive solely from Du Ponceau. Rather, Du Ponceau was the strategist for a more collaborative, organized approach based on the study of American Indian languages. The new edition of Eliot’s grammar reveals how Du Ponceau and Pickering were establishing an informal research network devoted to North American indigenous languages. The production and arrangement of their book depended on a broad, complex, and ultimately institutionally-supported network of scholars and amateur linguists. Their edition also shows how Du Ponceau and Pickering responded to the underlying ideological debate over “savage” languages with an emergent discourse grounded in Native American languages, ‘facts’, and ‘scientific’ linguistics.
Areal features in Gongduk, Bjokapakha and Black Mountain Mönpa phonology
Authors: Gerber Pascal 
Published: March 2020

AbstractThis paper argues that certain phonological similarities between the three Trans-Himalayan languages Gongduk, Bjokapakha (Tshangla) and Black Mountain Mönpa are areal features and discusses the historical and ethnolinguistic implications of this assumption. The similarities between Gongduk and Bjokapakha indicate a situation of areal convergence of recent data. This contact scenario explains certain aberrancies of Bjokapakha with regard to other Tshangla varieties. The attestation of some of the phonological features in Black Mountain Mönpa is analysed as the result of early contact between Gongduk and Black Mountain Mönpa, i.e. dating back to the time before the arrival of the East Bodish peoples in Central Bhutan.
Expressing negative meaning in Liangmai
Authors: Daimai Kailadbou , Singha Kh. Dhiren 
Published: March 2020

AbstractThe paper presents an overview of negative expression in Liangmai, an under-described Tibeto-Burman language, primarily spoken in the Northeast Indian states of Manipur and Nagaland. There are two ways of negative formation in the language: (i) by suffixing negative markers to the main verb, and (ii) by the use of negative particles. The main negative suffixes in Liangmai are-mak, mainly used with realis constructions;-lak, used mainly with irrealis constructions; and-tu/-duwith imperative, giving a prohibitive meaning. Negative particles used in the language includeha, which is a negative existential andraó, used to express ‘undesirability’. Additionally, a negative interjectionháiis used frequently in the language as a negative answer to a question or to contradict a statement perceived to be incorrect. Negative polarity items are form by suffixing-díto nominal stems and numerals. The present paper offers a descriptive account of negation in Liangmai, providing an overview of various constructions, namely, declarative, interrogative, imperative, relative and hortative, with negative polarity in the language.
Best-Worst-Play (BWP): A metaphor-less Optimization Algorithm
Authors: Singh Ramanpreet , Gaurav Kumar , Pathak Vimal Kumar , Singh Prem , Chaudhary Himanshu 
Published: March 2020

Abstract
A novel algorithm which is an ensemble of two metaphor-less algorithms is presented in this paper. The algorithm is inspired by Rao-1 and Jaya algorithms. Since the algorithm always plays around with the best and worst solutions; the algorithm is named as Best-Worst-Play (BWP) algorithm. The algorithm does not require any algorithm specific parameters, however, algorithm control parameters are required. To test the effectiveness and performance of the proposed algorithm, a number of unconstrained and constrained benchmark functions are considered. It is found that proposed algorithm has outperformed several well-established metaphor based algorithms. The proposed BWP algorithm may be used by researchers to solve the unconstrained and constrained optimization problems
Theoretical Analysis of Au-Pd Nanoalloy Clusters: A DFT Study
Authors: Ranjan Prabhat , Chakraborty Tanmoy 
Published: March 2020

Abstract
The study of bimetallic nanoalloy clusters has attracted a lot of attention now a days due to its unique physico-chemical properties. Among several bimetallic clusters, the compound formed between gold and palladium is of high importance due to its interesting catalytic properties. Density Functional Theory (DFT) is highly dominating method to compute the electronic properties of materials. In this article, we have reported the physical and chemical properties of AunPd (n=1-6) nanoalloy clusters in terms of Conceptual Density Functional Theory (CDFT) based descriptors. The CDFT based descriptors viz. HOMO-LUMO energy gap, hardness, softness, electronegativity andelectrophilicity index of AunPd nanoalloy clusters have been calculated. The result exhibits that energy gap of Au-Pd clusters maintain linear relationship with hardness values and inverse relationship with softness values. The HOMO-LUMO energy gap also display odd-even oscillation behavior, in which cluster containing total number of even atoms are more stable as compared to their neighbor cluster with total number of odd atoms.
Effect of multiple reinforcements (CNT/Si3N4) on hardness, electrical conductivity and friction coefficient of aluminium hybrid composites
Authors: Sethurama D , Keshavamurthy R. , Paljor S. , Rohit P.E. , Koppad Praveennath G. 
Published: March 2020

Abstract
Present investigation reports on the development of aluminium hybrid composites using powder metallurgy technique. Two different reinforcements namely silicon nitride (Si3N4) and carbon nanotubes (CNT) were used to reinforce pure aluminium matrix. Ball milled powder morphology and microstructure of hybrid composites were studied using scanning electron microscope to study the dispersion of Si3N4 and CNT.Microstructure studies showed uniform dispersion of both the reinforcements in aluminium matrix. Microhardness was obtained by applying a load of 50 N for dwell period of 20 seconds. Electrical conductivity in terms of %IACS was obtained using Eddy current tester. Coefficient of friction was obtained by conducting scratch test by employing a load of 10 N for a stroke length of 10 mm and scratch velocity of 0.2 mm/sec. Microhardness was found to increase with increasing content CNT content while electrical conductivity was found to decrease. Finally coefficient of friction was found to decrease with increase in CNT content owing to its lubricating nature.
Development Of Regression Model For Al6061+ Sic Tool And Optimization Of Process Parameters On Electro Discharge Machining
Authors: Kishan B. , SudheerPremkumar B. , Gajanana S. , Ravi Kumar B. , Chaitanya Kumar P.V.K 
Published: March 2020

Abstract
Proper selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes and, particularly, in processes related to Electrical Discharge Machining (EDM). These are the conditions that determine important characteristics such as material removal rate, Electrode Wear. In the present work experiments are conducted on EDM using Al6061+SiC (with 3%,6%,9% composition of SiC in Al 6061 Alloy ),Copper and Brass materials as electrodes and EN8 steel as work material. Discharge current (IP), pulse on time (TON), pulse off time (TOFF) are selected as inout process parameters, Metal Removal Rate (MR), Tool Wear Rate (TWR) as response. Taguchi design of experiment is used to find the influence of process parameters on response and a mathematical model is developed. Percentage contribution of each factor is determined.
Combined Process of Ozonation and Membrane Processes to treat Wastewater from Batik Industry
Authors: Purnawan I. , Febriasari A. , Setyaputra B. , Yolandini T.T. , Windriyo M.J. , Karamah E.F. , Kartohardjono S. 
Published: March 2020

Abstract
Batik is a cultural heritage which was handed down to her craftsmen in Indonesia, even now it is recognized by UNESCO as one of the world heritages. However, the batik industry is also known as an industry that discharges a lot of wastewater so that the processing of batik waste becomes very important to prevent surface water pollution from batik wastewater. Therefore, this study aims to examine the performance of polypropylene (PP) fibers-based membrane module in wastewater treatment from the batik industry. The batik wastewater was prior treated through a combination of ozonation (O3) and flocculation, and then ultra-filtered by a PP membrane module at various trans membrane pressures (TMP). Conductivity, total suspended solids (TSS), chemical oxygen demand (COD) and color (Pt/Co) were the observed variables to examine the performance of the batik wastewater treatment process. The experimental results show that TSS, COD and Pt/Co can be reduced by about 99.8%, 24% and 57%, respectively. Meanwhile, the permeate fluxes from the membrane module were 141.3, 182.0, 243.9, 264.7 and 290.88 L.m−2.h−1 at TMP of 3, 5, 7, 9 and 11 bars, respectively.
Gasification of pre-treated palm based empty fruit bunches: effect of alkali metal content
Authors: Lim M , Ahmad Tamili S.N. , Sulaiman S.A. 
Published: March 2020

Abstract
This study shows that pre-treatment of empty fruit bunches (EFB) has a positive impact on the energy content of syngas from the gasification process. In Malaysia, there is an estimated 25 million tonnes of EFB which can be used for power generation or for producing value added products through gasification. Gasification is a thermochemical process where the oxidant (air) is lower than the stoichiometric requirement, thus producing volatile syngas such as carbon monoxide, methane, hydrogen that contribute to the energy content. However, EFB has relatively higher ash and alkali metal content compared to other types of biomass, such as wood. Alkali metal contents such as potassium and sodium (K and Na) have been reported to reduce the initiation temperature for the formation of slag and clinker, and can cause operational issues for gasification systems, though other results show that alkali metals increase the gasification reactivity. Pre-treatment of the EFB may be required for reducing alkali metal related operational issues, and increase the performance of gasification in terms of the energy content of the syngas. Thus, this study investigates the effect of pre-treatment on the properties of the EFB, with a focus on the alkali metal content. The correlation between the pre-treatment (and the alkali metal content) on the yield and composition of the syngas from the gasification process is investigated.
Application Simulation Research of Unmanned Aerial Vehicle Maintenance System Based on Mechanical Arm
Authors: Zhang W L , Wang W Y , Ji G Y , Shi H , Pan J , Niu P J , Su G Q 
Published: March 2020

Abstract
When the unmanned aerial vehicle (UAV) maintenance system based on mechanical arm contacts high-voltage transmission lines for maintenance, the insulation parts of the UAV maintenance system are prone to breakdown risk, which affects its own operation safety. In this paper, combined with the actual parameters of the transmission line and the UAV maintenance system, the finite element software is used to establish the simulation model of the mechanical arm, rotor, frame and fuselage under the transmission line and UAV maintenance system. The influence of electric field around the transmission line on the UAV maintenance system of the mechanical arm is mainly considered. The research results show that: the mechanical arm and other insulation components of UAV maintenance system will not break down during the maintenance of 35kV transmission lines. At the same time, the maximum electric field intensity and voltage value of each component in the working process of unmanned aerial vehicle maintenance system based on mechanical arm are obtained according to simulation. The research data not only provides a basis for the safe operation of transmission lines and UAV maintenance system, but also provides a reference for the design of related parts such as mechanical arm.
Fluent simulation and experimental analysis of polished surface topography of single crystal germanium
Authors: Leng Zhiyi , Yang Xiaojing 
Published: March 2020

Abstract
Single crystal germanium has good physical and chemical properties but it is hard to be processed. Some researchers thought the flowing effort has no effect on the removal of test-piece surface material during the polishing process. This paper had built a flow-path simulation model and used Fluent to simulate the polishing process and designed experiment to analyse the polishing process. It was found in experimental results that, during the polishing process two-phase flow could smooth the surface of single crystal germanium, but it could also cause the edge surface material uneven removal on the test-piece, moreover, the uneven degree on both sides of polished test-piece were different, the roughness on middle part of test-piece was smaller than edge sides. Meanwhile, the residual stress was mainly caused by abrasive material properties and other conditions. The conclusion mentioned above were consisted with the simulation results, which proved the correctness of simulation model and assumptions, and the flowing effect of polishing liquid had effect on the removal of surface material. The paper provides a new research thought on two phrase flow polishing.
Rolling Bearing Fault Diagnosis Method Based on Principal Components Analysis and Probabilistic Neural Network
Authors: Ni Yun Feng , Ban Dong Dong 
Published: March 2020

Abstract
In this paper, a rolling bearing fault diagnosismethod based on PCA and improved PNN network is proposed to solve the problems of high dimension, high redundancy, nonlinearity and nonstationarity of rolling bearingdata. Firstly, the principal components analysis (PCA) algorithm is used to extract the feature information of the original data and obtain the principal component informationafter dimension reduction. Then the principal component information is sent as a feature to the probabilistic neuralnetwork (PNN) for training and output the diagnosisresults. The method is verified using Case Western bearingdatasets. Through simulation comparison of this method and BP neural network method, the experimental results show that the method proposed in this paper is more accurate in bearing fault diagnosis.
Strength Analysis of Primary Pump Motor in Primary Reactor
Authors: Wang Dongxin 
Published: March 2020

Abstract
The primary pump motor, as the driving source of nuclear reactor cooling loop, is the main device to ensure the safe and stable operation of nuclear power plant. Due to the difference in rotary inertia between the rotor and the rotating shaft, radial displacement, pressure and friction torque caused by centrifugal force during high-speed operation are different. The minimum fit tolerance, fit pressure safety factor and torsion strength safety factor are calculated by the strength check theory. Then, the finite element analysis of rotor stress of a 4500kW main pump motor is carried out and stress concentration is determined for rotor root and axial ventilation hole. Finally, the finite element analysis of stress field is carried out for end ring, copper bar, guard ring and pressure ring. It is found that there is obvious stress concentration at the top hole of the guard ring and the air duct of the pressure ring, and the bending stress of the copper bar and end ring is relatively high. Combined with the results of finite element analysis, the rotor end is improved, which can effectively improve the reliability of the end, increase the ventilation area of the end and save material cost.
Parameter Optimization of Surface Roughness in Ultrasonic Vibration Cutting Process
Authors: Zhao Pengcheng , Wang Junyuan , Cao Yiming 
Published: March 2020

Abstract
In order to improve the processing quality of the ultrasonic vibration cutting process and reduce the surface roughness of the workpiece, based on the Response Surface Methodology (RSM), the second-order response model of 45 steel ultrasonic vibration cutting is established. The 45 steel ultrasonic vibration cutting roughness model is fitted by the central composite experiment. The reliability of the model was verified by the significance analysis based on analysis of variance and the validity analysis based on residual graph. Finally, the 3D response surface map of the surface roughness of the workpiece was cut by ultrasonic vibration, and the influence of various process parameters on the surface roughness was analyzed. The suitable cutting amount combination was selected: the spindle speed is 70.95m/min, the cutting speed is 0.11m/min, while the feed rate is 0.95mm/r and the ultrasonic amplitude is 26.80mm.
Research on Performance of Artificial Bee Colony Algorithm Based on Benchmark Test Function
Authors: Wang Ren , Shi Keke , Wang Shuqi 
Published: March 2020

Abstract
Because the artificial bee colony(ABC) algorithm has problems of poor development ability, slow convergence rate and easy to fall into local optimum, an improved ABC algorithm is proposed. The algorithm combines the global optimal guidance strategy, we propose a new location update formula to improve the efficiency of the iterative optimization process, and introduce the mining coefficient in the formula to improve the accuracy of global optimization. In addition, the beta distribution is introduced during the scouting bee phase, which improves the disturbance ability of the algorithm and prevents it from falling into local extremum effectively. Finally, the simulation results of four benchmark functions of Sphere, Rastrigin, Rosenbrock and Griewank show that compared with the traditional algorithm and other improved artificial bee colony algorithm, the proposed algorithm has faster convergence speed and better optimization ability.
Optimization of Coordinated Control System on Radial Basis Function Neural Network
Authors: Ni Yunfeng , Chen Songlin 
Published: March 2020

Abstract
Coordination control system is an indispensable part of the thermal power unit, which is a multi-input and multi-output, complex structure of the system. The coordinating way of boiler-follower has the ability of high respond to load, but this method will cause excessive fluctuation of steam pressure in the boiler, what worse is that will produce excessive pressure cause explosion if you operate in a wrong way. Above all, this paper show a new method which combines the advantages of neural network and conventional PID control to improve the load response rate of the coordinated control system. According to the characteristics of non-linearity, large inertia and large delay of the system, a 300MW unit model is adopted in this paper. After analyzing its dynamic characteristics, we decide to use PID decoupling controller to eliminate the coupling phenomenon of the system itself. A control approach based on RBF neural network is proposed. The experimental results show that the dynamic response of the system is obviously improved, the system is more stable, the response speed is faster and the satisfactory control effect is achieved.
The estimation of the laser point temperature based on CNN (Convolutional Neural Network)
Authors: Yi Yingmin , Xie Ruidong , Yang Haichuan 
Published: March 2020

Abstract
For the requirements of the laser temperature in additive manufacturing, there is a high precision and high heat need in the industry. The method is proposed to estimate the temperature of laser point, which is based on CNN. In this method, a model of CNN is carried out. The collected laser thermal radiation images are used to train the model. Image recognition and isotherm estimation can be obtained by the trained model. The conclusion can be verified by the experiment. The isotherm and temperature of the laser can be measured efficiently in this method.
Dynamic reliability analysis of a heat-roller based on finite element method
Authors: Wen Guang , Liu Pingping , Zuo Fangjun , Su Rui , Jia Meiwei , Li Gangjun , Kang Zeyu 
Published: March 2020

Abstract
Taking a heat-roller of a laser printer as the research object, the dynamic characteristics and reliability were analyzed by using the finite element software ANSYS. Through modal analysis, it can be concluded that the first eighth natural frequencies of the heat-roller are 1343, 1365, 3612, 3677, 6885, 7001, 7168, 10634 Hz. The corresponding modal modes are as follows: except that the fifth mode is the torsional mode of the structure, the other modes are the bend mode. Through the harmonic response analysis, it can be concluded that the first mode has the greatest influence on the dynamic characteristics of the structure. The sensitivity analysis results show that the material characteristics and size parameters which have great influence on the dynamic characteristics of the structure are l
2, den, ex, d
1, d
3 and x.