A Descriptive Translation Study of Chinese Translation of French Musical Roméo et Juliette

This paper presents a Descriptive Translation Study(DTS)analysis of the Chinese translation of the French musical adaptation of Romeo and Juliet,titled Roméo et Juliette:de la Haineàl’Amour.Romeo and Juliet,a timeless play by Shakespeare,has captivated audiences since its premiere in 1597 and has been adapted into various forms,including stage productions,films,musicals,and operas.The focus of this study is to analyze the Chinese translation of the French musical adaptation from a DTS perspective.DTS is an approach that aims to understand the translation process and its reception in the target culture.By examining language choices,cultural references,and adaptation strategies,this study seeks to shed light on how the Chinese translation of the French musical functions within the target culture and influences the reception and interpretation of the source text.This analysis is expected to gain insights into the challenges and strategies employed in translating a musical adaptation of Romeo and Juliet into Chinese.The findings of this study will contribute to the field of translation studies and provide a deeper understanding of the complexities involved in the translation of musical works.

On News Language from the Perspective of Pragmatics——By Applying Adaption Theory

News is an important medium to transmit social information and reflect social reality. Its effects are irreplaceable and the news language which is a carrier to spread information is in fact influenced by many factors such as society, economy and culture. In order to exert its function to gain different social ends, the presentation of news language owns distinguishing features. This article starts from Verschueren's Adaption Theory to have the final conclusion that the adaption to the social, mental and physical world is the key element for the determination of the originality in news language.

Cross-Culture Adaptation in Business Context: the Implication of Adaptation Theory in Translation

Translating in business context involves considerable factors like culture,idioms besides language itself.This paper employs adaptation theory and posed several examples commonly-seen in product,trademark and advertisement translating to show the essentials of translating in business context.

Translation of Brand Names Based on Adaptation Theory

This paper,from the perspective of Verschueren’s adaptation theory,explores how a translator should adapt to the properties of products,different language customs,and consumers’psychology during the translation of brand names.First,a gen eral introduction is made on adaptation theory.Then,the application of adaptation theory in brand name translation is illustrated.Finally it is found that adaptation theory is very helpful for the translation of brand names.

Influence of climate change and human activity on water resources in arid region of Northwest China: An overview

This study reviews the latest progress in research on climate change and water resources in the arid region of Northwest China, analyzes the cause of water resource changes within the region from the perspective of climate change and human activities, and summarizes future likely changes in water resources and associated adaptation strategies. The research shows that the climate in the region has experienced warming and wetting with the most significant warming in winter and the highest increase in summer precipitation since 1961. Areas with the most significant warming trends include the Qaidam Basin, the Yili River Valley, and Tacheng. Spatially, the increasing trend in precipitation becomes increasingly significant from the southeast to the northwest, and northern Xinjiang experienced the highest increase. Studies have shown a decrease in headwater of Shiyang River because runoff is mainly based on precipitation which shows a decrease trend. But an increase in western rivers was observed such as Tarim River and Shule River as well as Heihe River due to rapid glacier shrinkage and snowmelt as well as precipitation increase in mountain area. Meanwhile unreasonable human activities resulted in decrease of runoff in the middle and lower reaches of Haihe River, Shiyang River and Kaidu River. Finally, recommendations for future studies are suggested that include characteristics of changes in extreme weather events and their impacts on water resources, projections of future climate and water resource changes, climate change attribution, the selection of adaptation strategies relating to climate change and social economic activities, and use of scientific methods to quantitatively determine water resource allocation.

Inter-provincial Differences in Rice Multi-cropping Changes in Main Double-cropping Rice Area in China: Evidence from Provinces and Households

Since the early 1980 s, the multi-cropping index for rice has decreased significantly in main double-cropping rice area in China, which is the primary double-cropping rice(DCR) production area. This decline may bring challenges to food security in China because rice is the staple food for more than 60% of the Chinese population. It has been generally recognized that rapidly rising labor costs due to economic growth and urbanization in China is the key driving force of the ‘double-to-single' rice cropping system adaption. However, not all provinces have shown a dramatic decline in DCR area, and labor costs alone cannot explain this difference. To elucidate the reasons for these inter-provincial distinctions and the dynamics of rice cropping system adaption, we evaluated the influencing factors using provincial panel data from 1980 to 2015. We also used household survey data for empirical analysis to explore the mechanisms driving differences in rice multi-cropping changes. Our results indicated that the eight provinces in the study can be divided into three spatial groups based on the extent of DCR area decline, the rapidly-declining marginal, core, and stable zones. Increasing labor cost due to rapid urbanization was the key driving force of rice cropping system adaption, but the land use dynamic vary hugely among different provinces. These differences between zones were due to the interaction between labor price and accumulated temperature conditions. Therefore, increasing labor costs had the greatest impact in Zhejiang, Anhui, and Hubei, where the accumulated temperature is relatively low and rice multi-cropping index declined dramaticly. However, labor costs had little impact in Guangdong and Guangxi. Differences in accumulated temperature conditions resulted in spatially different labor demands and pressure on households during the busy season. As a result, there have been different profits and rice multi-cropping changes between provinces and zones. Because of these spatial differences, regionally appropriate policies that provide appropriate subsidies for early rice in rapidly-declining marginal zone such as Zhejiang and Hubei should be implemented. In addition, agricultural mechanization and the number of agricultural workers have facilitated double-cropping; therefore, small machinery and agricultural infrastructure construction should be further supported.

Screening of a High Growth Influenza B Virus Strain in Vero Cells

Due to the insufficient supply of embryonated chicken eggs,the preparation of large quantities of inactivated influenza vaccines will require an alternative virus culture system after the emergence or reemergence of a pandemic influenza virus.The Vero cell is one of the ideal options since it was used for producing many kinds of human vaccines.However,most of the influenza viruses can not grow well in Vero cells.To develop a new influenza vaccine with Vero cells as a substrate,the virus needs to adapt to this cell substrate to maintain high growth characteristics.By serial passages in Vero cells,the B/Yunnan/2/2005va(B)strain was successfully adapted to Vero cells,with the hemagglutination titer(HAT)of the virus reaching 1:512.The high growth characteristic of this strain is stable up to 21 passages.The strain was identified by hemagglutination inhibition (HAI)test and sequencing respectively;the HA1 gene sequence of the virus was cloned and analyzed.The screening and establishment of high growth B virus provides an important tool for influenza vaccine production in Vero cells.

Marine green alga Cladophora aokii Yamada and its epiphytes from Yinggehai, Hainan, China： morphological taxonomy, formation and analysis of its environmental adaption

Based on specimens collected in Yinggehai, Hainan, China from 2013 to 2016, a stable epiphytic taxon is found on the surface of the individual of marine green alga Cladophora aokii Yamada. According to the morphological characteristics, the taxonomy of Cl. aokii and its epiphytes is carried out. There are some epiphytes attached on Cl. aokii Yamada including Cl. fascicularis （Mertens ex C. Agardh） Kfitzing, Chaetomorpha pachynerna （Montagne） Kiitzing, Cerarniurn carnouii Dawson, Licmophora abbreviata Agardh, Lyngbya sp. and Chattonella sp.. The formation of the individual of Cl. aokii is dissected and explained, which can help to analyze the adaption in details among this species, its epiphytes and native marine environment. The results reveal the marine macroepiphytic taxonomy in Ha/nan, China, and preliminarily explain the adaptive relationship between macroalgae and environment.

Adaptive backtracking search optimization algorithm with pattern search for numerical optimization

The backtracking search optimization algorithm（BSA） is one of the most recently proposed population-based evolutionary algorithms for global optimization. Due to its memory ability and simple structure, BSA has powerful capability to find global optimal solutions. However, the algorithm is still insufficient in balancing the exploration and the exploitation. Therefore, an improved adaptive backtracking search optimization algorithm combined with modified Hooke-Jeeves pattern search is proposed for numerical global optimization. It has two main parts： the BSA is used for the exploration phase and the modified pattern search method completes the exploitation phase. In particular, a simple but effective strategy of adapting one of BSA＇s important control parameters is introduced. The proposed algorithm is compared with standard BSA, three state-of-the-art evolutionary algorithms and three superior algorithms in IEEE Congress on Evolutionary Computation 2014（IEEE CEC2014） over six widely-used benchmarks and 22 real-parameter single objective numerical optimization benchmarks in IEEE CEC2014. The results of experiment and statistical analysis demonstrate the effectiveness and efficiency of the proposed algorithm.

Design for a Novel Framework of Hyper-Heuristic Algorithm

A novel framework of hyper-heuristic algorithm was proposed to improve the adaption of evolutionary algorithms( EAs)in optimization. The algorithm could be changed during the evolutionary progress according to their performances. In addition,a large number of elite individuals were employed in the algorithm and the elite individuals helped algorithm achieve a better performance,while such number of elite individuals stagnated the global convergence in conventional single algorithm. The time complexity was analyzed to demonstrate the novel framework did not increase the time complexity. The simulation results indicate that the proposed framework outperforms any single algorithm that composes the framework.

Research on Rapid Initial Adaption to the Environment of a Plateau

We designed two types of pre-adaption plans for this study. One was a pre-adaption training with progressive intermittent hypoxia, with a constant lower pressure oxygen tank used in the plain before arriving at the plateau （PG）. The other was by progressively increasing the time of exposure to hypoxia with oxygen supplied in stages after radical plateau （RG）. By testing the blood oxygen saturation （SpO2）, heart rate （HR）, and quality of sleep after arriving at the 3800 m high plateau, results showed that the pre-acclimatization and radical groups performed better than the control group （CG）. Both strategies were equivalent in terms of effects and principles in providing more flexible choices for acclimatization.

From adaption to death: endoplasmic reticulum stress as a novel target of selective neurodegeneration?

Neurodegenerative disease is a condition in which subpopulations of neuronal cells of the brain and spinal cord are selectively lost. A common event in many neurodegenerative diseases, such as Parkinson＇s disease （PD）, Alzheimer＇s disease （AD）, amyotrophic lateral sclerosis （ALS）, multiple sclerosis and prion diseases, is the increased level of endoplasmic reticulum （ER） stress caused by accumulation and deposits of inclusion bodies that contain abnormal aggregated proteins. However, the exact contributions to and causal effects of ER stress in neuron degeneration are not clear （Lindholm et al., 2006）.

Context-Based Mobile User Interface

Context awareness is increasingly gaining applicability in interactive ubiquitous mobile computing systems. Each context-aware application has its own set of behaviors to react to context modifications. Hence, every software engineer needs to clearly understand the goal of the development and to categorize the context in the application. We incorporate context-based modifications into the appearance or the behavior of the interface, either at the design time or at the run time. In this paper, we present application behavior adaption to the context modification via a context-based user interface in a mobile application. We are interested in a context-based user interface in a mobile device that is automatically adapted based on the context information. We use the adaption tree, named in our methodology, to represent the adaption of mobile device user interface to various context information. The context includes the user’s domain information and dynamic environment changes. Each path in the adaption tree, from the root to the leaf, presents an adaption rule. An e-commerce application is chosen to illustrate our approach. This mobile application was developed based on the adaption tree in the Android platform. The automatic adaption to the context information has enhanced human-computer interactions.

Decoding of Raman spectroscopy-encoded suspension arrays based on the detail constraint cycle domain adaptive model

Previous studies have already shown that Raman spectroscopy can be used in the encoding of suspension array technology.However,almost all existing convolutional neural network-based decoding approaches rely on supervision with ground truth,and may not be well generalized to unseen datasets,which were collected under different experimental conditions,applying with the same coded material.In this study,we propose an improved model based on CyCADA,named as Detail constraint Cycle Domain Adaptive Model(DCDA).DCDA implements the clasification of unseen datasets through domain adaptation,adapts representations at the encode level with decoder-share,and enforces coding features while leveraging a feat loss.To improve detailed structural constraints,DCDA takes downsample connection and skips connection.Our model improves the poor generalization of existing models and saves the cost of the labeling process for unseen target datasets.Compared with other models,extensive experiments and ablation studies show the superiority of DCDA in terms of classification stability and generalization.The model proposed by the research achieves a classification with an accuracy of 100%when applied in datasets,in which the spectrum in the source domain is far less than the target domain.

Prediction of the joint impacts of sea level rise and land development on distribution patterns of mangrove communities

Mangrove distribution along shorelines shows distinct zonation patterns;thus,different communities may face various influences from sea level rise(SLR)and land use.However,long-term change predictions are usually based only on the total extent of mangroves.Few studies have revealed how SLR and land development such as agriculture,aquaculture,and urbanization jointly affect different intertidal mangrove communities.This study proposed a novel framework combining SLAMM(Sea Level Affecting Marshes Model)and the CLUE-S(Conversion of Land Use and its Effect at Small regional extent)model to assess the potential impacts on upper and lower intertidal mangrove communities.Maoweihai in Guangxi,China,was selected as the study area and the potential impacts from the squeeze effect and mangrove expansion potential were evaluated.We established three scenarios combining SLR and land use patterns to predict mangrove coverage projections by 2070.The results showed that,under a single SLR driver,the upper intertidal mangroves would be more adaptive to rapid SLR than the lower intertidal mangroves.However,under the combined influence of the two drivers,the upper intertidal mangroves would experience larger squeeze effects than the lower intertidal mangroves,with up to 80.5%of suitable habitat lost.Moreover,the expansion potential of upper intertidal mangroves would be considerably more limited than that of lower intertidal mangroves.The length of the expandable habitat patch boundary of upper intertidal mangroves only reached 1.4–1.8 km,while that of the lower intertidal mangroves reached up to99.2–111.2 km.Further,we found that aquaculture ponds and cropland are the top two land development types that could occupy suitable habitat and restrict the mangrove expansion potential.Our results highlight that timely improvement of land use policies to create available landward accommodation space for mangrove migration is essential to maintain the coverage and diversity of mangrove communities under SLR.The proposed method can be a helpful tool for adaptive mangrove conservation and management under climate change.

A MODEL OF NEURAL CIRCUIT WITH ADAPTION AND NONLINEAR CONNECTION

Based on physiological properties of synapse, soma and axon, this paper presents and analyses a model of neural circuit which can approximately simulate input-output relation, strength-duration curve, adaption and nonlinear connection of real neuron. The obtained results show that the model approximates to realistic principles of neural computation better than the available neural networks. The impulse-coded WTA(winner takes all) networks constructed with the above model find the winner more effectively than the analog WTA. Finally, the two important concepts: time competition and strength competition are introduced, which illustrate that the model has abilities to perform series and parallel information processing.

Scaly-sided Merganser(Mergus squamatus)equalizes foraging costs with depth by switching foraging tactics

Throughout evolutionary history,animals are finely tuned to adjust their behaviors corresponding to environmental variations.Behavioral flexibility represents an important component of a species'adaptive capacity in the face of rapid anthropogenetic environmental change,and knowledge of animal behaviors is increasingly recognized in conservation biology.In aquatic ecosystem,variation of water depth is a key factor affecting the availability of food;thus,the foraging behaviors of many waterbirds,especially piscivores.In this study,we compared the foraging behaviors of the Scaly-sided Merganser(Mergus squamatus),an endangered migratory diving duck endemic to East Asia,in habitats with different water depths(Shallow waters:0–40 cm;Deep waters:40–300 cm),using video camera records obtained from the known wintering sites during three winters from 2018 to 2020.Further,the energy expenditure of foraging behavior profile and energy intake based on fish sizes were calculated to study the foraging energetics.In total,200 effective video footages that contained 1086 min with 17,995 behaviors and 163 events of catching fish were recorded.Results showed that:1)time length for fishing(including eye-submerging,head-dipping,diving and food handling)of M.squamatus in shallow waters was significantly more than in deep waters;2)M.squamatuss spent significantly more time for preparing(including vigilance,preening and swimming)in deep waters than in shallow waters;3)the mean catch rate was 0.28 fish/min in shallow waters,which is significantly higher than the value of 0.13 fish/min in deep waters;4)despite the distinct foraging behavior profiles and energy intakes,M.squamatus showed similar energetics in shallow and deep waters.We concluded that M.squamatus is a good example of behavioral flexibility that aligns with expectations of optimal foraging theory,in that it behaves in accordance to resource availability in different environments,resulting in high foraging efficiency.

Multi-View Point-Based Registration for Native Knee Kinematics Measurement with Feature Transfer Learning

Deep-learning methods provide a promising approach for measuring in-vivo knee joint motion from fast registration of two-dimensional(2D)to three-dimensional(3D)data with a broad range of capture.However,if there are insufficient data for training,the data-driven approach will fail.We propose a feature-based transfer-learning method to extract features from fluoroscopic images.With three subjects and fewer than 100 pairs of real fluoroscopic images,we achieved a mean registration success rate of up to 40%.The proposed method provides a promising solution,using a learning-based registration method when only a limited number of real fluoroscopic images is available.

Effectiveness of Structural and Nonstructural Measures on the Magnitude and Uncertainty of Future Flood Risks

The purpose of this research is to assess the effectiveness of various adaptation measures in reducing the magnitude and uncertainty of future flood risks in Jakarta, a megacity in Indonesia. A flood inundation model and a flood damage costs model were developed to evaluate their effectiveness. Land use changes, land subsidence, and climate change were used to describe the future scenarios. The adaptation measures include both structural and nonstructural measures. The results show that recharge and retention ponds have the potential to reduce the magnitude and uncertainty of flood risks by 33.2% and 36.4%, respectively, which are higher than the potentials of the other structural adaptation measures. Among the nonstructural adaptation measures, managing land use zones could alleviate the magnitude of flood risks by 29.0%, with an uncertainty reduction of 19.9%. These findings will assist decision makers in selecting flood adaptation measures to address future environmental changes.

The Impacts of Climate Change on the TraditionalAgriculture of Ethnic Minority in China

Climate change is affecting the IPLCs (Indigenous Peoples and Local Communities) around the world, including ethnic minorities in China, especially from agriculture, animal husbandry, hunting and gathering, which are their main source of livelihoods. At the same time, IPLCs have rich traditional knowledge related to climate and its disasters, especially in their livelihoods. This review work examines the research about traditional knowledge associated to livelihood in monitoring and adapting to changing climatic conditions in ethnic minorities in China. Authors reviewed the research papers and monographs on the traditional agricultural livelihood of ethnic minorities in China, and divided different agricultural types on the basis of literature review. At the same time, authors focused on reviewing the traditional knowledge formed by ethnic minorities in the agriculture, especially the traditional knowledge related to weather and climate information. In authors’ findings authors realized that ethnic minorities are the practitioners of traditional agricultural practices. Their observation and perception come from real life and may not be “scientific”, but they directly reflect the impact of climate change on local livelihoods and contain wisdom to adapt to climate change. Ethnic minorities not only observe and perceive climate change, but also actively adapt to the impact of climate change on traditional livelihoods. In the process of adaptation, traditional knowledge plays a key role. This paper highlights how traditional knowledge can improve understanding of the influence of climate change on livelihood, and provide ideas to develop an equitable and effective plan to adapt the climate change. For the IPLCs, compared with the externally driven adaption options, they are more willing to take the community-based plan, because such plans will enable them to apply their traditional knowledge according to the geographical location and environment of their areas, so that their actions to adapt to climate change will be more effective.