619 research outputs found
The aesthetic representation in prose translation from the perspective of translation aesthetics: a case study on the selected excerpts of The Fading Days
No full textIn literary translation sphere, translation and aesthetics are inextricably intertwined and the emergence and development of translation aesthetics have provided a systematic guidance for the practice and study of literary translation. It is irrefutable that the translating of prose is likewise a process of artistic appreciation and re-creation, which can also be conducted on that theoretical basis.
The capstone project is based on Liu Miqing's translation aesthetics, aiming to appreciate the aesthetic information of the original proses “Dinner in Summer” and “The White Night’s Dream” in light of formal and non-formal systems. To examine and justify the English translation, the tactics applied to reattain the original aesthetic values are extensively analyzed. Overall, the drastic differences between Chinese and English, along with other translation constraints and the translator’s “pre-structure” make it impossible to retrieve all original aesthetic elements in translation. However, Liu Miqing's translation aesthetics is indeed of great importance to the aesthetic appreciation and representation, further attesting to its applicability and scientificity in prose translation. This project can hopefully offer some insights and enlightenments for future studies on prose translation.Master of Arts (Translation and Interpretation
Statistical inference of body representation in the macaque brain
No full textThe sense of one’s own body is a pillar of self-consciousness and could be investigated by inducing human illusions of artificial objects as part of the self. Here, we present a nonhuman primate version of a rubber-hand illusion that allowed us to determine its computational and neuronal mechanisms. We implemented a video-based system in a reaching task in monkeys and combined a casual inference model to establish an objective and quantitative signature for the monkey’s body representation. Similar to humans, monkeys were more likely to perceive an external object as part of the self when the dynamics (spatial disparity) and the features (shape and structure) of visual (V) input was closer to proprioceptive (P) signals. Neural signals in the monkey’s premotor cortex reflected the strength of illusion and the likelihood of misattributing the illusory hand to oneself, thus, revealing a cortical representation of body ownership.Fil: Fang, Wen. Chinese Academy of Sciences; República de ChinaFil: Li, Junru. Chinese Academy of Sciences; República de ChinaFil: Qi, Guangyao. Chinese Academy of Sciences; República de ChinaFil: Li, Shenghao. Chinese Academy of Sciences; República de ChinaFil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wang, Liping. Chinese Academy of Sciences; República de China. Shanghai Research Center For Brain Science And Brain-inspired Intelligence; Chin
Spin-orbit coupling and supersolidity in ultracold quantum gases
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 207-214).Ultracold quantum gases provide a clean, isolated, and controllable platform for simulating and characterizing complex physical phenomena. In this thesis, I present several experiments on realizing one-dimensional spin-orbit coupling in ultracold 23Na gases and the creation of a new form of matter with supersolid properties using interacting spin-orbit coupled Bose-Einstein condensates. The first part describes the realization of spin-orbit coupling in optical superlattices which consist of stack of pancakes of imbalanced double-wells. The orbital levels, individual pancakes, in an superlattice potential are used as pseudospin states. Spinorbit coupling was induced by two-photon Raman transition between the pseudospin states, and was experimentally characterized by the spin-dependent momentum structure from this dressing. The realization suppresses heating due to spontaneous emission.The system is highly miscible, allowing the study of novel phases in interacting spin-orbit coupled systems. Next, spin-orbit coupling was demonstrated by synchronizing a fast periodically modulating magnetic force with the Radio-Frequency (RF) pulses. The modulation effectively dressed the RF photons with tunable momentum. The consequent Doppler shifts for RF transitions were observed as velocity-selective spin flips. The scheme is equivalent to Floquet engineered one-dimensional spin-orbit coupling. Finally, I report experiments on creating a new form of matter, a supersolid, in ultracold quantum gases. An interacting spin-orbit coupled Bose-Einstein condensate in the stripe phase spontaneously breaks two continuous symmetries : the U(1) symmetry, observed as sharp interference peaks in momentum space, and the continuous translational symmetry, observed as a spontaneously formed density modulation. The density modulation is measured and characterized with Bragg scattering.A system spontaneously breaking these two symmetries is a crystal and a superfluid simultaneously, and is considered as a supersolid.by Junru Li.Ph. D.Ph.D. Massachusetts Institute of Technology, Department of Physic
Towards Efficient Deep Learning: From Compression, Search to Unification
No full textDeep learning has gained considerable interest due to its record-breaking performance in a variety of different domains, including computer vision, natural language processing, multimodal understanding, etc. Meanwhile, deep neural networks are usually parameter-heavy, inefficient, and highly specialized. As a result, there has been a growing demand to improve the efficiency and interoperability of deep neural networks motivated by different needs. In this dissertation, we proposed to address those problems via serial of approaches, including (a) reducing the memory storage and energy footprint via parameter sharing (b) improving the trade-off between performance and computation via neural architecture search (c) unifying neural architectures across different modalities via cross-modality gradient harmonization
Visual design of green information in urban environment based on global similarity calculation and multi-dimensional visualization technology
No full textIn recent years, the escalating prevalence of elevated consumption and carbon emissions within urban operations has reached a disconcerting extent. This surge in resource depletion and environmental pollution exerts an adverse influence on the well-being of individuals, while impeding societal progress and hindering the enhancement of overall quality of life. Within the domain of urban environmental design, the integration of visual displays emerges as a superior approach to facilitate the assimilation and analysis of green and low-carbon information. However, urban environmental data usually contains multiple dimensions, so it is a problem to realize the data representation of multiple dimensions while maintaining the correlation and interactivity between data. To surmount the challenge of visualizing such intricate information, this investigation initially employs a sophisticated memory-based clustering algorithm for information extraction, accompanied by a global similarity algorithm that meticulously computes attribute component quantities within specific dimensions of the vector. Furthermore, leveraging the inherent power of Vue’s bidirectional data binding capabilities, the study adopts the esteemed MVVM (Model-View-View-Model) pattern, fostering seamless two-way interaction through the established logical relationship. As a result, the amalgamation of multidimensional visualization technology empowers comprehensive data mining through a captivating visual augmentation. Concurrently, the application of data visualization dimension control delivers tailored displays tailored to green and low-carbon scenarios within urban environmental design. Experimental results impeccably validate the effectiveness of the proposed algorithm, substantiated by a mere 1.77% false alarm rate for data stream difference detection and a clustering difference of 1.34%. The aforementioned algorithm accentuates the efficacy of visual displays, thus engendering a profound synergy between the industrial and supply chains. Moreover, it facilitates the design, production, and utilization of environmentally friendly products and energy sources. This, in turn, serves as a catalyst, propelling the widescale adoption of green and low-carbon practices throughout the entire industrial chain, fueled by the seamless integration of multimedia data
A Review of the Synthesis of Biopolymer Hydrogel Electrolytes for Improved Electrode–Electrolyte Interfaces in Zinc-Ion Batteries
No full textThe market for electric vehicles and portable and wearable electronics is expanding rapidly. Lithium-ion batteries currently dominate the market, but concerns persist regarding cost and safety. Consequently, alternative battery chemistries are investigated, with zinc-ion batteries (ZIBs) emerging as promising candidates due to their favorable characteristics, including safety, cost-effectiveness, theoretical volumetric capacity, energy density, and ease of manufacturing. Hydrogel electrolytes stand out as advantageous for ZIBs compared to aqueous electrolytes. This is attributed to their potential application in flexible batteries for wearables and their beneficial impact in suppressing water-induced side reactions, zinc dendrite formation, electrode dissolution, and the risk of water leakage. The novelty of this review lies in highlighting the advancements in the design and synthesis of biopolymer hydrogel electrolytes in ZIBs over the past six years. Notable biopolymers include cellulose, carboxymethyl cellulose, chitosan, alginate, gelatin, agar, and gum. Also, double-network and triple-network hydrogel electrolytes have been developed where biopolymers were combined with synthetic polymers, in particular, polyacrylamide. Research efforts have primarily focused on enhancing the mechanical properties and ionic conductivity of hydrogel electrolytes. Additionally, there is a concerted emphasis on improving the electrochemical performance of semi-solid-state ZIBs. Moreover, some studies have delved into self-healing and adhesive properties, anti-freezing characteristics, and the multifunctionality of hydrogels. This review paper concludes with perspectives on potential future research directions
Apache Junction Trail Connectivity, Downtown Visioning & State Land Visioning
No full textabstract: In the spring of 2016, The City of Apache Junction partnered with the School of Geographical Sciences and Urban Planning at Arizona State University on three forward-thinking plans for development in Apache Junction. Graduate students in the Urban and Environmental Planning program worked alongside City staff, elected officials and the public to identify opportunities and visions for 1) multi-modal access and connectivity improvements for City streets and open space; 2) downtown development; and 3) a master-planned community on state land south of the U.S. 60. The following sections of the report present Apache Junction’s unique characteristics, current resident demographics, development needs and implementation strategies for each project:
1. Community Profile
2. Trail Connectivity Master Plan
3. Downtown Visioning
4. State Land Visioning
The Trail Connectivity Master Plan optimizes existing trails and wide road shoulders to improve multi-modal connections across the city. The proposed connections emphasize access to important recreation, education and other community facilities for pedestrians, equestrians and bicycles. Trail and lane designs recommend vegetated buffers, wherever possible, to improve traveler safety and comfort. The proposals also increase residents’ interaction with open space along urban-rural trails and park linkages to preserve opportunities to engage with nature. The objectives of the report are accomplished through three goals: connectivity, safety improvements and open space preservation.
Downtown Visioning builds on a large body of conceptual design work for Apache Junction’s downtown area along Idaho Road and Apache Trail. This report identifies three goals: to establish a town center, reestablish the grid systems while maintaining a view of the Superstition Mountains, and create an identity and sense of place for the downtown.
State Land Visioning addresses a tract of land, approximately 25 square miles in area, south of the U.S. 60. The main objective is to facilitate growth and proper development in accordance with existing goals in Apache Junction’s General Plan. This is accomplished through three goals: 1) Develop a foundation for the creation of an economic corridor along US-60 through preliminary market research and land use planning. 2) Create multi-modal connections between existing development north of US-60 and future recreational space northeast of US-60. And 3) Maintain a large ratio of open space to developed area that encompasses existing washes and floodplains using a master planned community framework to provide an example for future land use planning
Connecting Past, Present & Future
No full textabstract: In the spring of 2016, The City of Apache Junction partnered with the School of Geographical Sciences and Urban Planning at Arizona State University on three forward-thinking plans for development in Apache Junction. Graduate students in the Urban and Environmental Planning program worked alongside City staff, elected officials and the public to identify opportunities and visions for 1) multi-modal access and connectivity improvements for City streets and open space; 2) downtown development; and 3) a master-planned community on state land south of the U.S. 60. The following sections of the report present Apache Junction’s unique characteristics, current resident demographics, development needs and implementation strategies for each project:
1. Community Profile
2. Trail Connectivity Master Plan
3. Downtown Visioning
4. State Land Visioning
The Trail Connectivity Master Plan optimizes existing trails and wide road shoulders to improve multi-modal connections across the city. The proposed connections emphasize access to important recreation, education and other community facilities for pedestrians, equestrians and bicycles. Trail and lane designs recommend vegetated buffers, wherever possible, to improve traveler safety and comfort. The proposals also increase residents’ interaction with open space along urban-rural trails and park linkages to preserve opportunities to engage with nature. The objectives of the report are accomplished through three goals: connectivity, safety improvements and open space preservation.
Downtown Visioning builds on a large body of conceptual design work for Apache Junction’s downtown area along Idaho Road and Apache Trail. This report identifies three goals: to establish a town center, reestablish the grid systems while maintaining a view of the Superstition Mountains, and create an identity and sense of place for the downtown.
State Land Visioning addresses a tract of land, approximately 25 square miles in area, south of the U.S. 60. The main objective is to facilitate growth and proper development in accordance with existing goals in Apache Junction’s General Plan. This is accomplished through three goals: 1) Develop a foundation for the creation of an economic corridor along US-60 through preliminary market research and land use planning. 2) Create multi-modal connections between existing development north of US-60 and future recreational space northeast of US-60. And 3) Maintain a large ratio of open space to developed area that encompasses existing washes and floodplains using a master planned community framework to provide an example for future land use planning
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