Analysis of Satire in Jonathan Swift’s Gulliver’s Travels

As one of Jonathan Swift masterpieces, Gulliver's Travels chronicles Lemuel Gulliver's four odd voyages in the form of a travel log. With sharp satire, Swift ridicules vices of England and the whole Europe in the early 18th century. The article ana lyzes the art and specific usage of satiric techniques in Gulliver's Travels.

Swift's Anti-Eurocentrism in Gulliver's Travels

Jonathan Swift fought all his life for Irish people to protest against the cruel colonial rule of British Government.He insinuated his thought to the readers of his time in his masterpiece,Gulliver's Travels.Swift reveals the essence of colonialism and expresses his strongly criticism towards Eurocentrism through Gulliver's anti-colonial narrative and Gulliver's identity of the"self"against the"other".

China's National Image in Western Travels in the Middle Ages

The cognition of the image of China in the West during the Middle Ages is a historical base map for the formation of China's image in the eyes of Western travelers in China since the 19 th century. During the Middle Ages, with the Crusades and the Eastward March of the Mongol Empire, the exchanges between China and Europe were frequent. For political and religious purposes, Western missionaries gradually increased in China. From the expansion of the concept of time and space, Western travelers came to China to explore the world outside the Mediterranean. For the needs of literary creation, Western writers began to write Chinese travels while traveling to China. The texts about China's images created by missionaries, travelers and writers are intertwined, depicting a vivid China's national image.

An Analysis of the Changes of Gulliver's Character in Gulliver's Travels

Most of the Domestic and foreign studies of Gulliver's Travels focus on the irony of the novel, there are few studies on the character of Gulliver. This paper will study the changes of Gulliver's character through the analysis of his travels in the four different countries, in order to contribute to a better understanding of Gulliver.

A Contrastive Study of the Social Outlooks in Utopia and Gulliver’s Travels

Utopia,the masterpiece of Thomas More,is one of the milestones of the history of utopian socialism in the early age and condenses the essence of Renaissance spirit.While Gulliver’s Travels,Jonathan Swift’s immortal work,was bred under the impact of Enlightenment and enabled Swift to be one of the major representatives of radicals in the Enlightenment Movement.These two works will be compared in terms of their social outlooks by comparison and contrast to enlighten some inspirations on current soci⁃ety.There will be 2 perspectives:politics and culture.To be more specific,politic views put emphasis on democracy.And culture view discusses about attitudes towards female.Both works’values and limits will be involved in the research.The results show that though Utopia and Gulliver’s Travels born in different periods.They share similar background and themes with different means of artistic expression.They both reveal and criticize on the darkness of the British society in their ages and perform their yearning for an ideal society.Nevertheless,they also own varied social views in various aspects like attitudes towards women.Their ideas have been put on a significant post in English literature even in world literature,which are greatly worth our profound thinking.And a di⁃alectic perspective to view these two grand works is necessary.

Travels of 3 plastic bags

You’ve bought what you need.The grocery cashier asks,"Will that be paper or plastic?You reply"Plastic,please."This seems like a simple question and there are plenty of reasons we choose plastic:easier to carry,lighter than paper bags,possibly less damaging to the environment,less expensive to the shop owners,able to be used as trash bag。

Towards a Research Paradigm for Diachronic Analyses of Term Travels:A New Perspective of Term Translation Studies

Research on term travels transcends the scope of the single discipline of historical semantics,and should be included in the transdisciplinary area of discourse studies,as such travels are discursive events in history that have both a linguistic and a social aspect.In other words,the travel of terms across cultures should be treated as discourses in history,and the three-fold nature of the concept of“discourse”sheds light upon the building of a model for diachronic analyses of such processes,which helps discourse analysts sharing the same goal work together to draw more scholarly attention to academic issues at the crossroads of history,language,and society.

Researches on Translating Travel Writings in the Perspective of Eco-Translatology——Take Travels of a Pioneer of Commerce in Pigitail and Petticoats As an Example

Based on the main notion of Darwin's Evolution Theory that"survival of the fittest through natural selection",it takes"multi-dimensional alternate adaptation and adapted selection"as its translation principle and"multi-dimensional transformation"as its translation methods.In the following,some researches will be done on traveling writing translation from the perspective of linguistic-dimensional transformation,culture-dimensional transformation and Communicative-dimensional transformation,taking Travels of a Pioneer of Commerce in Pigitail and Petticoats as an example.

Safe Travels!

International travelers can once again visit China on group tours after a threeyear suspension. Starting on March 31, tourism service providers are permitted to offer inbound group tours and travel packages including flight tickets and hotels, according to the Ministry of Culture and Tourism.

ON MONOTONE TRAVELING WAVES FOR NICHOLSON'S BLOWFLIES EQUATION WITH DEGENERATE p-LAPLACIAN DIFFUSION

We study the existence and stability of monotone traveling wave solutions of Nicholson's blowflies equation with degenerate p-Laplacian diffusion.We prove the existence and nonexistence of non-decreasing smooth traveling wave solutions by phase plane analysis methods.Moreover,we show the existence and regularity of an original solution via a compactness analysis.Finally,we prove the stability and exponential convergence rate of traveling waves by an approximated weighted energy method.

Coexisting fast–slow dendritic traveling waves in a 3D-array electric field coupled neuronal network

Coexistence of fast and slow traveling waves without synaptic transmission has been found in hhhippocampal tissues,which is closely related to both normal brain activity and abnormal neural activity such as epileptic discharge. However, the propagation mechanism behind this coexistence phenomenon remains unclear. In this paper, a three-dimensional electric field coupled hippocampal neural network is established to investigate generation of coexisting spontaneous fast and slow traveling waves. This model captures two types of dendritic traveling waves propagating in both transverse and longitude directions: the N-methyl-D-aspartate(NMDA)-dependent wave with a speed of about 0.1 m/s and the Ca-dependent wave with a speed of about 0.009 m/s. These traveling waves are synaptic-independent and could be conducted only by the electric fields generated by neighboring neurons, which are basically consistent with the in vitro data measured experiments. It is also found that the slow Ca wave could trigger generation of fast NMDA waves in the propagation path of slow waves whereas fast NMDA waves cannot affect the propagation of slow Ca waves. These results suggest that dendritic Ca waves could acted as the source of the coexistence fast and slow waves. Furthermore, we also confirm the impact of cellular spacing heterogeneity on the onset of coexisting fast and slow waves. The local region with decreasing distances among neighbor neurons is more liable to promote the onset of spontaneous slow waves which, as sources, excite propagation of fast waves. These modeling studies provide possible biophysical mechanisms underlying the neural dynamics of spontaneous traveling waves in brain tissues.

浮式海上风电助力可再生能源发展

Nearly 150 km off the coast of Norway,in one of the windiest places on Earth,stands Hywind Tampen,the world’s largest floating wind power farm.Each weighing 8800 t and 190 m tall,with roughly one-third of that height sitting below the waterline,Hywind Tampen’s 11 turbines can generate 94.6 MW(Fig.1)[1].The blades—each 80 m long—travel at a blistering 290 km∙h–1,yet because of their size they complete only about 10 to 15 full rotations per minute.A single rotation provides enough electricity to power an average home for a day.However,Hywind Tampen,which became fully operational in August 2023,will not power houses.Instead,the installation built by energy company Equinor(Stavanger,Norway)will provide 38%of the annual electricity consumed by five nearby offshore oil platforms in the North Sea[1].

Higher-dimensional Chen-Lee-Liu equation and asymmetric peakon soliton

Integrable systems play a crucial role in physics and mathematics.In particular,the traditional(1+1)-dimensional and(2+1)-dimensional integrable systems have received significant attention due to the rarity of integrable systems in higher dimensions.Recent studies have shown that abundant higher-dimensional integrable systems can be constructed from(1+1)-dimensional integrable systems by using a deformation algorithm.Here we establish a new(2+1)-dimensional Chen-Lee-Liu(C-L-L)equation using the deformation algorithm from the(1+1)-dimensional C-L-L equation.The new system is integrable with its Lax pair obtained by applying the deformation algorithm to that of the(1+1)-dimension.It is challenging to obtain the exact solutions for the new integrable system because the new system combines both the original C-L-L equation and its reciprocal transformation.The traveling wave solutions are derived in implicit function expression,and some asymmetry peakon solutions are found.

Measurement of very low-molecular weight metabolites by traveling wave ion mobility and its use in human urine samples

The collision cross-sections(CCS)measurement using ion mobility spectrometry(IMS)in combination with mass spectrometry(MS)offers a great opportunity to increase confidence in metabolite identification.However,owing to the lack of sensitivity and resolution,IMS has an analytical challenge in studying the CCS values of very low-molecular-weight metabolites(VLMs250 Da).Here,we describe an analytical method using ultrahigh-performance liquid chromatography(UPLC)coupled to a traveling wave ion mobility-quadrupole-time-of-flight mass spectrometer optimized for the measurement of VLMs in human urine samples.The experimental CCS values,along with mass spectral properties,were reported for the 174 metabolites.The experimental data included the mass-to-charge ratio(m/z),retention time(RT),tandem MS(MS/MS)spectra,and CCS values.Among the studied metabolites,263 traveling wave ion mobility spectrometry(TWIMS)-derived CCS values(TWCCSN2)were reported for the first time,and more than 70%of these were CCS values of VLMs.The TWCCSN2 values were highly repeatable,with inter-day variations of<1%relative standard deviation(RSD).The developed method revealed excellent TWCCSN2 accuracy with a CCS difference(DCCS)within±2%of the reported drift tube IMS(DTIMS)and TWIMS CCS values.The complexity of the urine matrix did not affect the precision of the method,as evidenced by DCCS within±1.92%.According to the Metabolomics Standards Initiative,55 urinary metabolites were identified with a confidence level of 1.Among these 55 metabolites,53(96%)were VLMs.The larger number of confirmed compounds found in this study was a result of the addition of TWCCSN2 values,which clearly increased metabolite identification confidence.

Harmonic balance simulation of the influence of component uniformity and reliability on the performance of a Josephson traveling wave parametric amplifier

A Josephson traveling wave parametric amplifier(JTWPA),which is a quantum-limited amplifier with high gain and large bandwidth,is the core device of large-scale measurement and control systems for quantum computing.A typical JTWPA consists of thousands of Josephson junctions connected in series to form a transmission line and hundreds of shunt LC resonators periodically loaded along the line for phase matching.Because the variation of these capacitors and inductors can be detrimental to their high-frequency characteristics,the fabrication of a JTWPA typically necessitates precise processing equipment.To guide the fabrication process and further improve the design for manufacturability,it is necessary to understand how each electronic component affects the amplifier.In this paper,we use the harmonic balance method to conduct a comprehensive study on the impact of nonuniformity and fabrication yield of the electronic components on the performance of a JTWPA.The results provide insightful and scientific guidance for device design and fabrication processes.

A Combination Prediction Model for Short Term Travel Demand of Urban Taxi

This study proposes a prediction model considering external weather and holiday factors to address the issue of accurately predicting urban taxi travel demand caused by complex data and numerous influencing factors.The model integrates the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN)and Convolutional Long Short Term Memory Neural Network(ConvLSTM)to predict short-term taxi travel demand.The CEEMDAN decomposition method effectively decomposes time series data into a set of modal components,capturing sequence characteristics at different time scales and frequencies.Based on the sample entropy value of components,secondary processing of more complex sequence components after decomposition is employed to reduce the cumulative prediction error of component sequences and improve prediction efficiency.On this basis,considering the correlation between the spatiotemporal trends of short-term taxi traffic,a ConvLSTM neural network model with Long Short Term Memory(LSTM)time series processing ability and Convolutional Neural Networks(CNN)spatial feature processing ability is constructed to predict the travel demand for urban taxis.The combined prediction model is tested on a taxi travel demand dataset in a certain area of Beijing.The results show that the CEEMDAN-ConvLSTM prediction model outperforms the LSTM,Autoregressive Integrated Moving Average model(ARIMA),CNN,and ConvLSTM benchmark models in terms of Symmetric Mean Absolute Percentage Error(SMAPE),Root Mean Square Error(RMSE),Mean Absolute Error(MAE),and R2 metrics.Notably,the SMAPE metric exhibits a remarkable decline of 21.03%with the utilization of our proposed model.These results confirm that our study provides a highly accurate and valid model for taxi travel demand forecasting.

Multiscale Characteristics and Connection Mechanisms of Attraction Networks:A Trajectory Data Mining Approach Leveraging Geotagged Data

Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geotagging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004–2007),the Olympic Games and subsequent‘heat period’(2008–2013),the post-Olympic period(2014–2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020–2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete information and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.

Appropriate Combination of Crossover Operator and Mutation Operator in Genetic Algorithms for the Travelling Salesman Problem

Genetic algorithms(GAs)are very good metaheuristic algorithms that are suitable for solving NP-hard combinatorial optimization problems.AsimpleGAbeginswith a set of solutions represented by a population of chromosomes and then uses the idea of survival of the fittest in the selection process to select some fitter chromosomes.It uses a crossover operator to create better offspring chromosomes and thus,converges the population.Also,it uses a mutation operator to explore the unexplored areas by the crossover operator,and thus,diversifies the GA search space.A combination of crossover and mutation operators makes the GA search strong enough to reach the optimal solution.However,appropriate selection and combination of crossover operator and mutation operator can lead to a very good GA for solving an optimization problem.In this present paper,we aim to study the benchmark traveling salesman problem(TSP).We developed several genetic algorithms using seven crossover operators and six mutation operators for the TSP and then compared them to some benchmark TSPLIB instances.The experimental studies show the effectiveness of the combination of a comprehensive sequential constructive crossover operator and insertion mutation operator for the problem.The GA using the comprehensive sequential constructive crossover with insertion mutation could find average solutions whose average percentage of excesses from the best-known solutions are between 0.22 and 14.94 for our experimented problem instances.