Effective extraction of polyribosomes from astrocytes enables future discoveries on translation regulation

Translation regulation is an important layer of gene expression:Generation of genome-wide expression datasets at multi-omics levels in spatial,temporal,and cell-type resolution is essential for deciphering brain complexity.Regulation of gene expression is a highly dynamic process aiming at the production of precise levels of gene products to guarantee optimal cellular function,in response to physiological cues.Speedy advances in next-generation sequencing enabled the understanding of epigenomic and transcriptomic dynamic landscapes of different brain regions along development,aging,and disease progression.However,the correlation of the“transcriptome”with protein levels is poor because numerous mRNAs are subjected to manipulation of their translation efficiency,to warrant a favorable result under certain conditions.Hence,it is widely accepted that regulation at the translation level is a vital layer of gene expression.Quantification of actively translated mRNA populations(i.e.,“translatome”)is a more reliable predictor of the“proteome”(Wang et al.,2020).

RNPS1 stabilizes NAT10 protein to facilitate translation in cancer via tRNA ac^(4)C modification

Existing studies have underscored the pivotal role of N-acetyltransferase 10(NAT10) in various cancers. However, the outcomes of protein-protein interactions between NAT10 and its protein partners in head and neck squamous cell carcinoma(HNSCC) remain unexplored. In this study, we identified a significant upregulation of RNA-binding protein with serine-rich domain 1(RNPS1) in HNSCC, where RNPS1 inhibits the ubiquitination degradation of NAT10 by E3 ubiquitin ligase, zinc finger SWIM domain-containing protein 6(ZSWIM6), through direct protein interaction, thereby promoting high NAT10 expression in HNSCC. This upregulated NAT10 stability mediates the enhancement of specific tRNA ac^(4)C modifications, subsequently boosting the translation process of genes involved in pathways such as IL-6 signaling, IL-8 signaling, and PTEN signaling that play roles in regulating HNSCC malignant progression, ultimately influencing the survival and prognosis of HNSCC patients. Additionally, we pioneered the development of TRMC-seq, leading to the discovery of novel t RNA-ac^(4)C modification sites, thereby providing a potent sequencing tool for tRNAac^(4)C research. Our findings expand the repertoire of tRNA ac^(4)C modifications and identify a role of tRNA ac^(4)C in the regulation of mRNA translation in HNSCC.

The big data challenge-and how polypharmacology supports the translation from pre-clinical research into clinical use against neurodegenerative diseases and beyond

Introductory comments:The identification and validation of disease-modifying proteins are fundamental aspects in drug development.However,the m ultifactority of n eurodegen era tive diseases poses a real challenge for targeted therapies.Furthermore,the behavior of individually(over-)expressed to rget proteins in vitro is likely to differ from their actual functional behavior when embedded in cascades and pathways in vivo.

LKMT:Linguistics Knowledge-Driven Multi-Task Neural Machine Translation for Urdu and English

Thanks to the strong representation capability of pre-trained language models,supervised machine translation models have achieved outstanding performance.However,the performances of these models drop sharply when the scale of the parallel training corpus is limited.Considering the pre-trained language model has a strong ability for monolingual representation,it is the key challenge for machine translation to construct the in-depth relationship between the source and target language by injecting the lexical and syntactic information into pre-trained language models.To alleviate the dependence on the parallel corpus,we propose a Linguistics Knowledge-Driven MultiTask(LKMT)approach to inject part-of-speech and syntactic knowledge into pre-trained models,thus enhancing the machine translation performance.On the one hand,we integrate part-of-speech and dependency labels into the embedding layer and exploit large-scale monolingual corpus to update all parameters of pre-trained language models,thus ensuring the updated language model contains potential lexical and syntactic information.On the other hand,we leverage an extra self-attention layer to explicitly inject linguistic knowledge into the pre-trained language model-enhanced machine translation model.Experiments on the benchmark dataset show that our proposed LKMT approach improves the Urdu-English translation accuracy by 1.97 points and the English-Urdu translation accuracy by 2.42 points,highlighting the effectiveness of our LKMT framework.Detailed ablation experiments confirm the positive impact of part-of-speech and dependency parsing on machine translation.

Unsupervised multi-modal image translation based on the squeeze-and-excitation mechanism and feature attention module

The unsupervised multi-modal image translation is an emerging domain of computer vision whose goal is to transform an image from the source domain into many diverse styles in the target domain.However,the multi-generator mechanism is employed among the advanced approaches available to model different domain mappings,which results in inefficient training of neural networks and pattern collapse,leading to inefficient generation of image diversity.To address this issue,this paper introduces a multi-modal unsupervised image translation framework that uses a generator to perform multi-modal image translation.Specifically,firstly,the domain code is introduced in this paper to explicitly control the different generation tasks.Secondly,this paper brings in the squeeze-and-excitation(SE)mechanism and feature attention(FA)module.Finally,the model integrates multiple optimization objectives to ensure efficient multi-modal translation.This paper performs qualitative and quantitative experiments on multiple non-paired benchmark image translation datasets while demonstrating the benefits of the proposed method over existing technologies.Overall,experimental results have shown that the proposed method is versatile and scalable.

Exploring the groundwater response to rainfall in a translational landslide using the master recession curve method and cross-correlation function

Rainfall is a common trigger for landslide reactivation,as it raises groundwater levels and reduces bedrock or soil shear resistance.This study focuses on the Kualiangzi landslide in the southern region of Sichuan Province,China.Real-time monitoring of groundwater levels and rainfall from July 2013 to September 2016 is analyzed.Groundwater table increments,considering groundwater drainage rate,were calculated using the water-table fluctuation and master recession curve method and the response time of the groundwater table to rainfall events was estimated using the cross-correlation function.Results reveal that groundwater level declines from tension troughs to landslide fronts in the rainy season,with a significant positive correlation between the groundwater level in the tension trough and landslide surface displacement.Evaluated spring elevations for groundwater discharge range from 410 m to 440 m,which is in agreement with the actual spring elevations(390-423 m).Lag times of groundwater response to rainfall decreases with cumulative rainfall of the rainy periods.In the middle part of the landslide,two responses between rainfall and groundwater levels indicate two water movement pathways:Vertical cracks or fractures resulting from the slow landslide movement,and matrix pore space in unconsolidated sediment.Variations in peak values of the cross-correlation function suggest early dominance of the uniform matrix flow and later dominance of preferential flow during the rainy period.

A Study of English Translation Strategies of Subtitles of the Domestic Animated Film Chang’an from the Perspective of Eco-translatology

This article conducts an analysis and exploration of the English subtitles translation of the domestic animated film Chang’an from the perspective of eco-translatology.Taking three-dimensional transformation as the entry point,it analyzes the adaptation and selection of subtitle translators in the translation process from the dimensions of language,culture,and communication in Chang’an,aiming to enrich the practical analysis of eco-translatology and provide valuable insights and references for the theoretical construction and practical application of eco-translatology.This article enriches the practical analysis of eco-translatology and also validates to a certain extent the applicability of“three-dimensional”transformation.

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.

Beyond Gender Perspectives:A More Comprehensive Examination of Yang Yi’s Translation of Wuthering Heights

The renowned translator Yang Yi passed away in 2023.Many scholars argue that,influenced by their biological gender,female translators often employ translation methods in adherence to feminist translation or reflect characteristics typical of female translators.This study examines the translation of Wuthering Heights by Yang Yi,focusing on whether there is a definite influence of gender on translator behavior.While existing literature primarily analyzes Yang Yi’s work through a feminist lens,this research takes a broader approach.By considering the translator’s social background and translation practice,this paper challenges the assumption that her work strictly aligns with feminist translation theories.Instead,this study emphasizes the importance of considering diverse factors when interpreting translated works,moving beyond a singular gender-based standpoint.

Translation Strategies of Red Tourism Terms in the Central Plains-Taking Red Central Plains as an Example

In recent years,the Red Tourism in Central Plains has gradually become a new type of thematic tourism form,which is an important carrier to carry out patriotism and revolutionary traditional education and carry forward the national spirit.The translation of red tourism publicity is an important window for spreading Chinese culture,and the translation of professional terms is an important link in the red tourism publicity.How to spread the red culture of the Central Plains,glow the charm of the Central Plains culture,enhance the influence of the Central Plains culture,and spread the Central Plains culture to the world has become the mission of every child of the Central Plains.This paper adopts the case analysis method,combined with the specific and typical cases in“Red Central Plains”,and uses different translation strategies and methods to explore the difficulties and solutions of the translation of terms in the red tourism text.

Development, Translation and Validation of the Circle of Life (CoL) Satisfaction Scale Assessment Tool: An Integrative Nutrition Approach

Objectives: This study was designed to validate, test and translate a newly developed assessment tool for health coaches to assess client’s satisfaction rates of the Circle of Life (CoL), as a guide for weight management and also to monitor clients’ health and wellbeing improvements. This includes development of the assessment content, content validity, translating and pretesting the tool among potential clients. Method: 18 participants enrolled in a telenutrition weight loss program was and received a hypocaloric diet that was supported with monthly telemonitoring and health coaching sessions remotely for 6 months. Thus, we developed content of the assessment tool and created a rating scale of three levels of satisfaction (completely satisfied, slightly satisfied and not satisfied). The process of validation included content and language validity by experts in the field and language. Results: High scores according to the content validity rating were seen on both English and language versions of the CoL assessment tool by experts. Followed by a pre-testing process by participants, which showed reliability and consistency of the (CoL) variables using a multilevel analysis seeks across all individuals and all individuals had similar correlational pattern. Conclusions: The new (CoL) satisfaction scale have demonstrated a good capacity for identifying lifestyle factors associated with participants weight, which is a useful tool for integrative nutrition practice in weight management interventions. Future studies must be directed towards using the tool in assessing different populations and cultures to understand the main root of obesity in relation to behavior and day to day life factors.

Classic Translation and Humanistic Spirit in the Age of AI

This article hopes to explore a question:in the era of artificial intelligence,do we still need traditional translation of canonical texts,and how is such translation possible?Artificial intelligence has an all-round impact on the world’s productivity,and translation is the first area to be challenged.With the increasing accuracy and optimization of big data computing,daily translation,business translation,simultaneous interpretation and even general academic translation are gradually being replaced by machine translation.In this context,whether the canon translation by scholars is still meaningful has become a question that must be asked.This article believes that translation of canonical texts will never be out of date,and it is precisely in this era that the canon translation with academic standards and humanistic spirit are more needed by academia and society.The contemporary task of canon translation is not only translation and introduction,but more importantly,the inheritance and construction of its own academic history and humanistic thoughts,as well as the understanding and cultivation of human history,civilization and humanistic spirit.

The Evolution of Translation Standards From a Hermeneutic Perspective

Modern hermeneutics centers on the relationship between the“author,text,and reader”in interpretation.Various schools emphasize different aspects,shifting perspectives in translation studies from the author’s original intention to the reader’s experience,acknowledging translator subjectivity,and focusing on textual analysis.Traditional standards of“faithfulness”and“equivalence”have evolved into diverse standards advocating individual differences,promoting tolerance and plurality in translation.

A Comparative Study of Chinese Translations of Tagore’s Stray Birds From the Perspective of the“Three Beauties Theory”

For more than 60 years,Mr.Xu Yuanchong has been devoted to education.He has not only made remarkable achievements in translating from and into Chinese,English,French and other languages,but has also developed his own unique concept of translation.Since 1950,he has always adhered to the“Three Beauties Theory”,believing that translation should not only rely on the original text,but also realize the“beauty of meaning”,“beauty of sound”,and“beauty of form”.Based on Xu Yuanchong’s“Three Beauties Theory”,this paper takes Zheng Zhenduo’s and Feng Tang’s Chinese translations of Stray Birds as an example to explore in depth the specifics of poetry translation theory.The study summarizes the similarities and differences between these two translations in embodying the“three beauties”,providing insights into the Chinese translation techniques of philosophical prose poems.This endeavor seeks to offer valuable insights for the comparative study of Stray Birds translations。

The Translation of Allusions in Political Discourse:An Intertextuality Perspective

drawn from ancient classics are the treasures of traditional Chinese culture.The allusions used in Xi Jinping:The Governance of China illustrate a distinctive feature of political discourse,and the publication of its English version provides a valuable opportunity for the study of allusions in translated political discourse.With the English translations of 241 allusions collected from two volumes of the book,we classified these allusions into three categories of history,culture,and literature based on their original sources.Then we analyzed the strategies used in translating the allusions,and provided typical examples to illustrate the use of such translation strategies for each category.Finally,we tried to account for the use of these strategies in light of the intertextuality theory.

Common Problems and Solutions for Beginners in Translation From a Psychological Perspective

With the continuous development of the translation market,more and more students are investing in the study of translation majors.However,for the education of translation majors,Chinese translation educators pay more attention to the imparting of translation theory knowledge and the cultivation of students’translation abilities.There is still room for further improvement in solving common psychological problems and cultivating the psychological qualities of translation beginners.Therefore,this article starts from the common psychological problems of translation beginners,analyzes their causes,and proposes relative solutions to help improve the level of translation psychological education in China.

On Translation Strategies of Commercial Advertisements From the Perspective of Skopos Theory

In a highly competitive market,excellent advertising translation can better promote brands.By adopting the three principles of Skopos Theory,this paper discusses the E-C translation strategies of commercial advertisements based on specific advertising translation cases,and proposes translation methods of literal translation,free translation,paraphrase,and augmentation,as well as rhetorical methods of homophonic puns,aiming to improve the quality of commercial advertisement translations,enhance the publicity effect,and achieve brand marketing.

Improving Low-Resource Machine Translation Using Reinforcement Learning from Human Feedback

Neural Machine Translation is one of the key research directions in Natural Language Processing.However,limited by the scale and quality of parallel corpus,the translation quality of low-resource Neural Machine Translation has always been unsatisfactory.When Reinforcement Learning from Human Feedback(RLHF)is applied to lowresource machine translation,commonly encountered issues of substandard preference data quality and the higher cost associated with manual feedback data.Therefore,a more cost-effective method for obtaining feedback data is proposed.At first,optimizing the quality of preference data through the prompt engineering of the Large Language Model(LLM),then combining human feedback to complete the evaluation.In this way,the reward model could acquire more semantic information and human preferences during the training phase,thereby enhancing feedback efficiency and the result’s quality.Experimental results demonstrate that compared with the traditional RLHF method,our method has been proven effective on multiple datasets and exhibits a notable improvement of 1.07 in BLUE.Meanwhile,it is also more favorably received in the assessments conducted by human evaluators and GPT-4o.

Sci-tech Simultaneous Interpreter Education Based on Translation Universals Research

The rapid evolution of scientific and technological advancements and industrial changes has profoundly interconnected countries and regions in the digital information era,creating a globalized environment where effective communication is paramount.Consequently,the demand for proficient interpreting skills within the scientific and technology sectors has surged,making effective language communication increasingly crucial.This paper explores the potential impact of translation universals on enhancing sci-tech simultaneous interpreter education.By examining the selection of teaching materials,methods,and activities through the lens of translation universals,this study aims to improve the quality of teaching content,innovate instructional approaches,and ultimately,enhance the effectiveness of interpreter education.The findings of this research are expected to provide valuable insights for curriculum development and pedagogical strategies in interpreter education.

A Comparative Study of Artificial Intelligence and Translation Software in Chinese-English Translation:A Focus on Literary and Technical Texts

In recent years,the domain of machine translation has experienced remarkable growth,particularly with the emergence of neural machine translation,which has significantly enhanced both the accuracy and fluency of translation.At the same time,AI also showed its tremendous advancement,with its capabilities now extending to assisting users in a multitude of tasks,including translation,garnering attention across various sectors.In this paper,the author selects representative sentences from both literary and scientific texts,and translates them using two translation software and two AI tools for comparison.The results show that all four translation tools are very efficient and can help with simple translation tasks.However,the accuracy of terminology needs to be improved,and it is difficult to make adjustments based on the characteristics of the target language.It is worth mentioning that one of the advantages of AI is its interactivity,which allows it to modify the translation according to the translator’s needs.