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Journal articles on the topic 'Personalized Translation Tools'

Author: Grafiati

Published: 27 July 2024

Last updated: 31 July 2025

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1

KARASALIU, Alma. "Comparative Analysis of Digital Translation Tools." Eurasia Proceedings of Science Technology Engineering and Mathematics 31 (December 15, 2024): 42–51. https://doi.org/10.55549/epstem.1593218.

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As technology progresses, educators become essential in effectively integrating and guiding the application of digital tools to enhance students’ learning experience. This paper focuses on the dynamic use of three distinct digital tools—Google Translate, ChatGPT, and My AI on Snapchat—by Bachelor's Degree students while translating and comparing economy-related texts. The study employs a hands-on methodology, encouraging students to explore the functionalities of each tool and propose alternative translations in instances of any identified errors or any inappropriately translated version. Thro

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Zhang, Ping. "Design and Implementation of English-Chinese Translation Teaching Platform Based on Deep Learning." Journal of Electrical Systems 20, no. 3s (2024): 1746–55. http://dx.doi.org/10.52783/jes.1714.

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The Translation Teaching Platform based on Deep Learning represents a groundbreaking advancement in language education, offering students immersive and personalized learning experiences. By leveraging deep learning algorithms, this platform facilitates real-time translation practice, allowing students to engage with authentic language materials and receive immediate feedback on their performance. Through interactive exercises, multimedia resources, and adaptive learning modules, students can enhance their language proficiency in a dynamic and engaging environment. Moreover, the platform's abil

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Luo, Jing. "Integration and Practice of Computer-Assisted Translation Technology in Modern Translation Teaching." International Education Forum 2, no. 5 (2024): 8–14. http://dx.doi.org/10.26689/ief.v2i5.7065.

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With the advancement of globalization and the rapid development of information technology, the demand for the translation industry is increasing, posing new challenges and opportunities for translation teaching. The introduction of Computer-Assisted Translation (CAT) technology provides rich resources and innovative methods for translation teaching. This paper explores the integration and practice of CAT technology in modern translation teaching, including translation memory, terminology management, machine translation, translation project management, quality assessment and proofreading tools,

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Aslonov, Shakhram. "The importance of Artificial Intelligence in the teaching of translation theory and practice." Зарубежная лингвистика и лингводидактика 2, no. 5 (2024): 50–53. http://dx.doi.org/10.47689/2181-3701-vol2-iss5-pp50-53.

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This article discusses the significant role of artificial intelligence (AI) in teaching translation theory and practice. AI tools enable students to visualize theoretical concepts, practice real-time translation, and receive personalized feedback. While AI enhances educational outcomes, it is essential to balance its use with traditional methods to promote creativity and critical thinking. The article highlights how AI's adaptive learning algorithms and practical applications can reshape the future of translation education

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Zhengkun, Zhang, Guo Chuhao, Shenhui Shenhui, Wen Junhao, Wang Jia, and Liang Wenrui. "Technology Acceptance and Service Experience of Elderly Users with AI Translation Tools." Journal of Management World 2025, no. 1 (2025): 467–72. https://doi.org/10.53935/jomw.v2024i4.715.

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With advancements in artificial intelligence (AI), AI-assisted translation tools have become vital for daily communication. However, elderly users often face various challenges and obstacles when adopting these technologies. Using the Technology Acceptance Model (TAM) and Service-Dominant Logic (SDL), this study delves into the behaviors and experiences of elderly users engaging with AI translation tools. Based on interviews with multiple elderly participants, the findings reveal that their acceptance of new technologies depends not only on ease of use and functionality but also on factors lik

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Sheik, Samiha, and N. Hemalatha. "Unlocking the potential of personalized medicine - A review." BOHR International Journal of General and Internal Medicine 3, no. 1 (2024): 15–19. https://doi.org/10.54646/bijgim.2024.23.

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Bioinformatics is a multidisciplinary field that evolves techniques and software tools for understanding the data in biology, when there are large data sets in particular. This field includes computer science, biology, physics, chemistry, mathematics, and statistics. Recent advancements in high-throughout technologies have been made possible by the emergence of systems biology as a comprehensive science, allowing for a more precise modeling of complicated disorders. A general definition of personalized medicine is a participatory, preventative, personalized, and predictive healthcare strategy.

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Yihong, Lyu, Tan Xiaoying, and Li Peilong. "Advancing Teachers' Translation Technology Proficiency in Digital Education Transformation." Journal of Global Research in Education and Social Science 18, no. 4 (2024): 141–49. http://dx.doi.org/10.56557/jogress/2024/v18i48951.

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The digital transformation of education has profoundly influenced teaching and learning paradigms. Technologies such as artificial intelligence and big data facilitate personalized learning and individualized instruction. Blended learning models, which integrate online and offline education, are gaining traction, and open educational resources are becoming more readily accessible. However, translation-specialized teachers confront significant challenges, including limited digital literacy and insufficient training in new translation tools. Therefore, it is imperative to update translation teac

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Yefymenko, Tetiana, Tamara Bilous, Anna Zhukovska, Iryna Sieriakova, and Iryna Moyseyenko. "Technologies for using interactive artificial intelligence tools in the teaching of foreign languages and translation." Revista Amazonia Investiga 13, no. 74 (2024): 299–307. http://dx.doi.org/10.34069/ai/2024.74.02.25.

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The article explores the potential of artificial intelligence technologies in teaching foreign languages and translation. It explores the advantages and possible challenges of using such technologies in language education and provides practical examples. The article also discusses perspectives on the future development and use of interactive artificial intelligence tools in the field of language teaching and translation. The integration of artificial intelligence into higher education has ushered in a new era of transformation in educational processes, reforming various aspects of the educatio

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Kirolos, Eskandar. "From Theory to Practice: Bridging the Gap in Translational Psychiatry Research." World Journal of Health and Medicine 1, no. 1 (2023): 29–40. https://doi.org/10.5281/zenodo.8308836.

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Abstract According to the World Health Organization, psychiatric disorders affect a significant portion of the global population, with an estimated one in four individuals experiencing a mental health condition at some point in their lives. In light of this pressing need, this comprehensive literature review delves into the field of translational psychiatry, examining the challenges, advancements, and future directions in bridging the gap between theoretical knowledge and practical application. It explores various subtopics, including neurobiological research, biomarkers, interventions, precis

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Chang, Hongjing, and Jing Zhao. "Enhancing Translation Teaching Efficiency and Learning Experience through Mobile Technology Applications." International Journal of Interactive Mobile Technologies (iJIM) 19, no. 06 (2025): 75–89. https://doi.org/10.3991/ijim.v19i06.54703.

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With the advancement of globalization, the significance of English translation in cross-cultural communication has been increasingly emphasized. Traditional methods of translation teaching are becoming insufficient to meet the demands of modern learners, particularly in the context of the rapid development of mobile internet and intelligent devices. Consequently, there is an urgent need to introduce new technological approaches to improve teaching efficiency and the learner experience in translation education. The widespread use of mobile technology presents new opportunities for translation t

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Karamysheva, Iryna, Roksolyana Nazarchuk, and Kateryna Lishnievska. "PECULIARITIES OF TRANSLATION OF ENGLISH LANGUAGE INSTRUCTIONS WITH THE USE OF ADDITIONAL TOOLS IN SDL TRADOS STUDIO AND MEMOQ TRANSLATOR PRO ENVIRONMENTS." Research Bulletin Series Philological Sciences 1, no. 193 (2021): 376–82. http://dx.doi.org/10.36550/2522-4077-2021-1-193-376-382.

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The presented research focuses upon the analysis of additional specific tools (namely translation memory (TM) technologies) of SDL Trados Studio 2017 and MemoQ Translator Pro 2017 automated translation systems and their application for translation of English-language instructions into Ukrainian. With the help of the above-mentioned software tools 60 English-language operating instructions for household appliances have been translated into Ukrainian (three projects were created in both systems, each containing 10 instructions). TM is a database consisting of segments of source text (sentences,

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Adishesh and Hapangama. "Enriching Personalized Endometrial Cancer Research with the Harmonization of Biobanking Standards." Cancers 11, no. 11 (2019): 1734. http://dx.doi.org/10.3390/cancers11111734.

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Endometrial cancer is the commonest gynecological cancer, with an incidence predicted to escalate by a further 50–100% before 2025, due to the rapid rise in risk factors such as obesity and increased life expectancy. Endometrial cancer associated mortality is also rising, depicting the need for translatable research to improve our understanding of the disease. Rapid translation of scientific discoveries will facilitate the development of new diagnostic, prognostic and therapeutic strategies. Biobanks play a vital role in providing biospecimens with accompanying clinical data for personalized t

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Amani, Nailatul, and Maslihatul Bisriyah. "University Students' Perceptions of AI-Assisted Writing Tools in Supporting Self-Regulated Writing Practices." IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) 10, no. 1 (2025): 91. https://doi.org/10.21093/ijeltal.v10i1.1942.

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Artificial intelligence (AI) is transforming education by offering personalized learning tools, yet its role in fostering self-regulated learning (SRL) strategies among English as a Foreign Language (EFL) students remains underexplored. This study investigates EFL students' perceptions of AI applications in supporting their self-regulated writing strategies, particularly in planning, monitoring, and evaluation. Employing a qualitative case study approach, data were collected from 40 EFL students at an Islamic-based university in East Java, Indonesia, through questionnaires, semi-structured int

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Alghamdi, Maha Ali, Antonino N. Fallica, Nicola Virzì, Prashant Kesharwani, Valeria Pittalà, and Khaled Greish. "The Promise of Nanotechnology in Personalized Medicine." Journal of Personalized Medicine 12, no. 5 (2022): 673. http://dx.doi.org/10.3390/jpm12050673.

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Both personalized medicine and nanomedicine are new to medical practice. Nanomedicine is an application of the advances of nanotechnology in medicine and is being integrated into diagnostic and therapeutic tools to manage an array of medical conditions. On the other hand, personalized medicine, which is also referred to as precision medicine, is a novel concept that aims to individualize/customize therapeutic management based on the personal attributes of the patient to overcome blanket treatment that is only efficient in a subset of patients, leaving others with either ineffective treatment o

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Lightbody, Gaye, Valeriia Haberland, Fiona Browne, et al. "Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application." Briefings in Bioinformatics 20, no. 5 (2019): 1795–811. http://dx.doi.org/10.1093/bib/bby051.

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Abstract There has been an exponential growth in the performance and output of sequencing technologies (omics data) with full genome sequencing now producing gigabases of reads on a daily basis. These data may hold the promise of personalized medicine, leading to routinely available sequencing tests that can guide patient treatment decisions. In the era of high-throughput sequencing (HTS), computational considerations, data governance and clinical translation are the greatest rate-limiting steps. To ensure that the analysis, management and interpretation of such extensive omics data is exploit

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Raballo, A. "Diagnostic Procedures for Prediction of Psychosis - Achievements and Challenges." European Psychiatry 41, S1 (2017): S27. http://dx.doi.org/10.1016/j.eurpsy.2017.01.139.

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Individualized prognostic predictions in people at clinical high risk are crucial to tailor suitable interventions and personalized prevention. Furthermore, in recent years, the synergy between fast-pace technical sophistication in neuroscience (e.g. neuroimaging and neurophysiological) and novel bio-statistical tools (e.g. machine learning algorithms) has accelerated the development of more inclusive predictive models and magnified the potential for such individualized risk stratification enriching classical psychopathological tools. However, the clinical translation of such research insights

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Antunes, Nina, Banani Kundu, Subhas C. Kundu, Rui L. Reis, and Vítor Correlo. "In Vitro Cancer Models: A Closer Look at Limitations on Translation." Bioengineering 9, no. 4 (2022): 166. http://dx.doi.org/10.3390/bioengineering9040166.

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In vitro cancer models are envisioned as high-throughput screening platforms for potential new therapeutic discovery and/or validation. They also serve as tools to achieve personalized treatment strategies or real-time monitoring of disease propagation, providing effective treatments to patients. To battle the fatality of metastatic cancers, the development and commercialization of predictive and robust preclinical in vitro cancer models are of urgent need. In the past decades, the translation of cancer research from 2D to 3D platforms and the development of diverse in vitro cancer models have

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Chen, Xiaoxian. "Research on the Application of Artificial Intelligence in Translation Courses." International Journal of Education and Humanities 12, no. 1 (2024): 41–44. http://dx.doi.org/10.54097/3c1b8w36.

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With the rapid development of artificial intelligence technology, its application in the field of education is more and more extensive. This paper aims to deeply explore the application of artificial intelligence in translation courses, analyze its advantages, application models, problems and solutions, and forecast the future research direction and development trend. First of all, this paper gives a comprehensive overview of artificial intelligence technology, and elaborates its definition, classification and development history in depth. Then, in light of the problems and challenges of tradi

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MARTUNYUK, OLENA. "AI TOOLS IN FOREIGN LANGUAGE TEACHING: PROS AND CONS OF UKRAINIAN AND FOREIGN PRACTICES." Comparative Professional Pedagogy 14, no. 2 (2024): 65–73. https://doi.org/10.31891/2308-4081/2024-14(2)-7.

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The paper considers the pros and cons of integration of AI tools in foreign language teaching in Ukrainian and foreign higher education institutions. The author analyzes AI algorithms such as Natural Language Processing (NLP), Reinforcement Learning (RL), and Deep Learning (DL) that enhance foreign language learning through techniques like tokenization, lemmatization, speech recognition and machine translation creating personalized lessons, real-time feedback and adaptive difficulty levels, ensuring that learners remain engaged and motivated, whereas platforms like Duolingo apply these algorit

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Gomes, Clarissa, Bence Ágg, Andrejaana Andova, et al. "Catalyzing Transcriptomics Research in Cardiovascular Disease: The CardioRNA COST Action CA17129." Non-Coding RNA 5, no. 2 (2019): 31. http://dx.doi.org/10.3390/ncrna5020031.

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Cardiovascular disease (CVD) remains the leading cause of death worldwide and, despite continuous advances, better diagnostic and prognostic tools, as well as therapy, are needed. The human transcriptome, which is the set of all RNA produced in a cell, is much more complex than previously thought and the lack of dialogue between researchers and industrials and consensus on guidelines to generate data make it harder to compare and reproduce results. This European Cooperation in Science and Technology (COST) Action aims to accelerate the understanding of transcriptomics in CVD and further the tr

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Lin, Jiaqi, Lijuan Cui, Xiaokun Shi, and Shuping Wu. "Emerging Trends in Microfluidic Biomaterials: From Functional Design to Applications." Journal of Functional Biomaterials 16, no. 5 (2025): 166. https://doi.org/10.3390/jfb16050166.

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The rapid development of microfluidics has driven innovations in material engineering, particularly through its ability to precisely manipulate fluids and cells at microscopic scales. Microfluidic biomaterials, a cutting-edge interdisciplinary field integrating microfluidic technology with biomaterials science, are revolutionizing biomedical research. This review focuses on the functional design and fabrication of organ-on-a-chip (OoAC) platforms via 3D bioprinting, explores the applications of biomaterials in drug delivery, cell culture, and tissue engineering, and evaluates the potential of

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Qoronfleh, M. Walid. "Precision Medicine and the Human Proteome in Disease, Diagnostics and Translation: Current Status and Future Prospects." Biomedicines 13, no. 5 (2025): 1130. https://doi.org/10.3390/biomedicines13051130.

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The human proteome—the entire collection of proteins expressed by the human genome—represents a dynamic and intricate landscape of biological function. Proteins are the workhorses of the body, driving processes from cellular communication to immune defense, and their alterations underpin many diseases. Understanding the proteome has become a cornerstone of modern biomedical research, offering insights into disease mechanisms, diagnostic tools, and personalized treatments through precision medicine. This commentary explores the current state of human proteome research; its applications in disea

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Daneshdoust, Danyal, Ming Yin, Mingjue Luo, et al. "Conditional Reprogramming Modeling of Bladder Cancer for Clinical Translation." Cells 12, no. 13 (2023): 1714. http://dx.doi.org/10.3390/cells12131714.

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The use of advanced preclinical models has become increasingly important in drug development. This is particularly relevant in bladder cancer, where the global burden of disease is quite high based on prevalence and a relatively high rate of lethality. Predictive tools to select patients who will be responsive to invasive or morbid therapies (chemotherapy, radiotherapy, immunotherapy, and/or surgery) are largely absent. Patient-derived and clinically relevant models including patient-derived xenografts (PDX), organoids, and conditional reprogramming (CR) of cell cultures efficiently generate n

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Bo, Zhou, Lim Seong Pek, Wang Cong, et al. "Transforming Translation Education: A Bibliometric Analysis of Artificial Intelligence’s Role in Fostering Sustainable Development." International Journal of Learning, Teaching and Educational Research 24, no. 3 (2025): 166–90. https://doi.org/10.26803/ijlter.24.3.9.

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This bibliometric analysis focused on the potential and difficulties of implementing artificial intelligence (AI) in translation education. This study aligns with Sustainable Development Goal 4 (Quality Education), whichemphasizes inclusive and equitable learning opportunities. It investigated the effects of AI tools on teaching methods, student engagement, and language skill development,including generative artificial intelligence (generative AI).Through co-citation and co-occurrence analysis of 281 Web of Science articles (2020–2024), this study identified key research trends, gaps, and inte

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Gkioka, Vasiliki, Olga Balaoura, Maria Goulielmaki, and Constantin N. Baxevanis. "The Organization of Contemporary Biobanks for Translational Cancer Research." Onco 3, no. 4 (2023): 205–16. http://dx.doi.org/10.3390/onco3040015.

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Cancer biobanks have a crucial role in moving forward the field of translational cancer research and, therefore, have been promoted as indispensable tools for advancing basic biomedical research to preclinical and clinical research, ultimately leading to the design of clinical trials. Consequently, they play an essential role in the establishment of personalized oncology by combining biological data with registries of detailed medical records. The availability of complete electronic medical reports from individualized patients has led to personalized approaches for diagnosis, prognosis, and pr

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Karnati, Ravi Teja, Prof (Dr ). Harish Kundra, and P. R. S. Santosh Naidu. "Study Pilot: An AI-Powered Platform for Personalized Learning through Retrieval-Augmented Generation on Diverse User Content." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–7. https://doi.org/10.55041/ijsrem.ncft007.

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Abstract—Personalized learning is a critical goal in modern education, yet existing digital platforms often struggle to adapt to the unique needs and materials of individual learners. Many AI- driven educational tools rely on static datasets, limiting their relevance to a user’s specific curriculum or personal study resources. This paper presents Study Pilot, a comprehensive AI- powered platform designed to revolutionize personalized learning by enabling dynamic interaction with diverse content uploaded directly by the user, including PDFs, web links, and YouTube videos. At its core, Study Pil

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Glas, Gerrit. "Translatie als filosofisch programma." Algemeen Nederlands Tijdschrift voor Wijsbegeerte 111, no. 3 (2019): 453–76. http://dx.doi.org/10.5117/antw2019.3.009.glas.

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Abstract Translation as philosophical program: An explorative reviewWhat does the concept of translation mean in the expression ‘translational neuroscience’? What are the different steps, or components, in the translation of neuroscientific findings to psychiatry? There are serious concerns about the validity and productivity of the traditional idea of a translational pipeline, starting in the fundamental sciences (chemistry, molecular and cellular biology) and ending in the practice of clinical medicine, including psychiatry. The article defends the thesis that the difficulties in the traditi

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Nie, Yuzhe. "Native language identification from text using a fine-tuned GPT-2 model." PeerJ Computer Science 11 (May 28, 2025): e2909. https://doi.org/10.7717/peerj-cs.2909.

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Native language identification (NLI) is a critical task in computational linguistics, supporting applications such as personalized language learning, forensic analysis, and machine translation. This study investigates the use of a fine-tuned GPT-2 model to enhance NLI accuracy. Using the NLI-PT dataset, we preprocess and fine-tune GPT-2 to classify the native language of learners based on their Portuguese-written texts. Our approach leverages deep learning techniques, including tokenization, embedding extraction, and multi-layer transformer-based classification. Experimental results show that

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Dr. Nishat Zafar, Dr. Saira, and Seerat Afzal. "AI-Powered Reading Support for Multilingual Learners in Higher Education: A Critical Review." Journal for Social Science Archives 3, no. 1 (2025): 776–86. https://doi.org/10.59075/jssa.v3i1.158.

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The objective of this research was to explore challenges of multilingual learners which are confronted in regard to reading comprehension, vocabulary growth, and retention of all curriculum content. These challenges have given rise to innovative solutions such as Artificial Intelligence (AI)-powered reading support systems that offer adaptive, personalized, and interactive learning experiences. This study looks into how AI-based reading tools (i.e., machine translation, speech-to-text, text-to-speech, and intelligent annotation systems) can support multilingual students' reading proficiency on

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Wasehudin, Wasehudin, Aslihah Aslihah, Rumbang Sirojudin, and Yuttana Yuttana. "Artificial Intelligence's Impact on the Development of Islamic Religious Education Learning at a Public Junior High School of Cilegon, Indonesia." Hanifiya: Jurnal Studi Agama-Agama 7, no. 1 (2024): 193–98. http://dx.doi.org/10.15575/hanifiya.v7i2.37787.

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This study was conducted with the aim of knowing the existence of Artificial Intelligence (AI) in improving the quality of learning in Islamic Religious Education subjects. This study used a qualitative approach by using field observations and interviews to collect data. The research shows that educational institutions have felt the impact of technological advances and AI and have used these tools to improve the teaching and learning process. Education professionals recognize that these advancements are very beneficial in making the learning process more efficient and effective. Personalized l

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Teshaeva, Dildora, and Maftuna Bahronova. "TITLE: THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENGLISH FOR SPECIFIC PURPOSES (ESP)." Multidisciplinary Journal of Science and Technology 5, no. 4 (2025): 131–33. https://doi.org/10.5281/zenodo.15154740.

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Artificial Intelligence (AI) has significantly impacted various domains of education, including English for Specific Purposes (ESP). This article explores how AI enhances ESP instruction through adaptive learning, automated assessment, and personalized content delivery. AI-driven tools such as chatbots, machine translation, and speech recognition contribute to improving ESP learners' proficiency by providing real-time feedback and contextualized learning experiences. Additionally, the article highlights challenges such as data privacy concerns and the need for human intervention to ensure effe

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Kareem, Fatai Toyin, and Abdulwaheed Abiodun Abdul Rahman. "AI Powered Learning: A Catalyst for Preservation and Revitalization of Endangered Languages." Zamfara International Journal Of Humanities 3, no. 03 (2025): 55–61. https://doi.org/10.36349/zamijoh.2025.v03i03.007.

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This paper delves into how AI-powered tools can breathe new life into endangered languages, helping to preserve and revitalize them in ways that were previously unimaginable. Technologies like machine translation, speech recognition, and adaptive learning platforms are proving essential by simplifying language documentation and making language learning more engaging and accessible. Our findings show that AI can speed up data collection, increase global access to these languages, and encourage interactive, personalized learning. However, challenges remain: data for these languages is often limi

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Rosenberg, Nahum. "Objective Measurement of Musculoskeletal Pain: A Comprehensive Review." Diagnostics 15, no. 13 (2025): 1581. https://doi.org/10.3390/diagnostics15131581.

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Background: Musculoskeletal (MSK) pain is a leading contributor to global disability and healthcare burdens. While self-reported pain scales remain the clinical standard, they are limited by subjectivity and inter-individual variability. Therefore, objective assessment tools are increasingly sought to enhance diagnostic precision, guide treatment, and enable reproducible research outcomes. Methods: This comprehensive narrative review synthesizes evidence from physiological, behavioral, and neuroimaging approaches used to evaluate MSK pain objectively. Emphasis is placed on autonomic biomarkers

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Ugochukwu Francis Ikwuanusi, Peter Adeyemo Adepoju, and Chinekwu Somtochukwu Odionu. "AI-driven solutions for personalized knowledge dissemination and inclusive library user experiences." International Journal of Engineering Research Updates 4, no. 2 (2023): 052–62. https://doi.org/10.53430/ijeru.2023.4.2.0023.

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Artificial Intelligence (AI) is revolutionizing the way libraries deliver knowledge, enabling personalized dissemination and fostering inclusive user experiences. This review explores AI-driven solutions designed to address the diverse needs of library users, ensuring equitable access to information and resources. By leveraging AI technologies such as machine learning (ML), natural language processing (NLP), and recommender systems, libraries can transform user engagement and knowledge delivery. Machine learning models analyze user behavior and preferences, enabling libraries to provide tailor

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Jadhav, Amruta, and Aakash Pawar. "A Review on Unveiling the Secrets of Epitranscriptomics: RNA Modifications in Health and Diseases." Micro environer 3, no. 02 (2023): 36–43. http://dx.doi.org/10.54458/mev.v3i02.14140.

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Advancements in epi transcriptomics have reshaped our understanding of RNA’s intricate roles in cellular processes and disease. This abstract provides insights into the emerging field of epi transcriptomics, highlighting its significant implications for health and disease. Epi transcriptomics has unveiled various chemical modifications decorating RNA molecules, akin to DNA’s epigenetic marks, intricately governing RNA structure and function. Modern research has elucidated the intricate mechanisms underlying these RNA modifications, emphasizing their crucial roles in various cellular processes.

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Kingsley Orevaoghene, Eniforo, Chika Yinka-Banjo, and Emmanuel John Anagu. "Fuzzy Logic Based Personalised Diet Recommendation engine for Dietary Prevention and Control of Diabetes." Journal of Engineering, Computational and Applied Sciences (JECAS) 8, no. 1 (2024): 1–13. https://doi.org/10.64290/jecas.v8i1.894.

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Dietary management is very important not only to prevent Type 2 diabetes mellitus but also to treat it. Despite the fact that there are great strides in knowledge dietary strategies, many patients continue to rely on generic advice instead of individualized plans. There is limited integration of technology-based tools into routine care to assist healthcare providers in delivering personalized dietary recommendations. This research developed a personalized system that aligns dietary recommendations with the health conditions and preferences of diabetes patients. The system used Fuzzy Logic inte

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Soualmia, L. F., and T. Lecroq. "Managing Large-Scale Genomic Datasets and Translation into Clinical Practice." Yearbook of Medical Informatics 23, no. 01 (2014): 212–14. http://dx.doi.org/10.15265/iy-2014-0039.

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Summary Objective:To summarize excellent current research in the field of Bioinformatics and Translational Informatics with application in the health domain. Method: We provide a synopsis of the articles selected for the IMIA Yearbook 2014, from which we attempt to derive a synthetic overview of current and future activities in the field. A first step of selection was performed by querying MEDLINE with a list of MeSH descriptors completed by a list of terms adapted to the section. Each section editor evaluated independently the set of 1,851 articles and 15 articles were retained for peer-revie

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Ahmad Zawawi, Sahira Syamimi, Elyn Amiela Salleh, and Marahaini Musa. "Spheroids and organoids derived from colorectal cancer as tools for in vitro drug screening." Exploration of Targeted Anti-tumor Therapy 5, no. 2 (2024): 409–31. http://dx.doi.org/10.37349/etat.2024.00226.

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Colorectal cancer (CRC) is a heterogeneous disease. Conventional two-dimensional (2D) culture employing cell lines was developed to study the molecular properties of CRC in vitro. Although these cell lines which are isolated from the tumor niche in which cancer develop, the translation to human model such as studying drug response is often hindered by the inability of cell lines to recapture original tumor features and the lack of heterogeneous clinical tumors represented by this 2D model, differed from in vivo condition. These limitations which may be overcome by utilizing three-dimensional (

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Revesai, Zvinodashe, Benjamin Tungwa, Telson Anesu Chisosa, and Vanessa Runyararo Meki. "Digital Empowerment in Social Work: Leveraging AI to Enhance Educational Access in Developing Nations." IJIE (Indonesian Journal of Informatics Education) 8, no. 2 (2024): 79. https://doi.org/10.20961/ijie.v8i2.92951.

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Social work education in developing countries faces significant challenges, including limited resources, restricted access to current knowledge, and inadequate training opportunities. This study aims to examine the potential of emerging Artificial Intelligence (AI) technologies in empowering social work students by enhancing access to information through machine translation and intelligent search tools, improving resource availability via virtual simulations and adaptive learning platforms, and integrating AI-powered self-help tools into the curriculum. A qualitative research design was employ

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Lasinska, Tatiana. "THE USE OF ARTIFICIAL INTELLIGENCE IN TEACHING A COURSE ON TRANSLATING SPECIALIZED TEXTS INTO ENGLISH." PROBLEMS OF SEMANTICS, PRAGMATICS AND COGNITIVE LINGUISTICS, no. 46 (2024): 172–83. https://doi.org/10.17721/2663-6530.2024.46.13.

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In the context of rapid technological development and globalization, proficiency in English has become an increasingly important aspect of professional growth and competitiveness in the labor market. One of the key competencies required in many fields is the ability to effectively translate specialized texts. This skill demands not only language proficiency but also an understanding of domain-specific terminology and context. However, as practice shows, students exhibit varying levels of knowledge, skills, and learning needs. The organization of the educational process often fails to address i

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Dr., Deepak Kem. "Personalised and Adaptive Learning: Emerging Learning Platforms in the Era of Digital and Smart Learning." International Journal of Social Science and Human Research 05, no. 2 (2022): 385–91. https://doi.org/10.5281/zenodo.5955678.

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The learning process is never-ending. It is a continuous process through every phase and stage of human life. Man always seeks new lessons and ideas and adapt to new surroundings and changes. In this process, several platforms and tools make the learning effective. These tools also provide proper translation services from the official language into any other language, enabling a learning experience for every learner individually stipulating unique paths for learning, including teaching the previous experience, skills, and knowledge. Numerous adaptive tools assist learners in experiencing the l

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Hoeurng, Heak, Phearun Phorn, Sopharath Kheav, and Rany Sam. "Integrating Artificial Intelligence in Higher Education: A Case Study of Cambodian Universities." European Journal of Theoretical and Applied Sciences 2, no. 5 (2024): 462–73. http://dx.doi.org/10.59324/ejtas.2024.2(5).47.

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Artificial intelligence (AI) is rapidly transforming education, offering exciting opportunities and challenges for universities. This study investigates the integration of AI in undergraduate studies at three universities in Battambang, Cambodia. The author employed a quantitative survey design targeting 370 students across various majors and year levels. This research aims to (1) examine the correlation between students’ utilization of AI tools and their chosen field of study; (2) explore undergraduate students' perceptions regarding the application of AI in their academic research; and (3) a

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Heak, Hoeurng, Phorn Phearun, Kheav Sopharath, and Sam Rany. "Integrating Artificial Intelligence in Higher Education: A Case Study of Cambodian Universities." European Journal of Theoretical and Applied Sciences 2, no. 5 (2024): 462–73. https://doi.org/10.59324/ejtas.2024.2(5).47.

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Artificial intelligence (AI) is rapidly transforming education, offering exciting opportunities and challenges for universities. This study investigates the integration of AI in undergraduate studies at three universities in Battambang, Cambodia. The author employed a quantitative survey design targeting 370 students across various majors and year levels. This research aims to (1) examine the correlation between students’ utilization of AI tools and their chosen field of study; (2) explore undergraduate students' perceptions regarding the application of AI in their academic research; and

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Simeon, Michael, Seema Dangwal, Agapios Sachinidis, and Michael Doss. "Application of the Pluripotent Stem Cells and Genomics in Cardiovascular Research—What We Have Learnt and Not Learnt until Now." Cells 10, no. 11 (2021): 3112. http://dx.doi.org/10.3390/cells10113112.

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Personalized regenerative medicine and biomedical research have been galvanized and revolutionized by human pluripotent stem cells in combination with recent advances in genomics, artificial intelligence, and genome engineering. More recently, we have witnessed the unprecedented breakthrough life-saving translation of mRNA-based vaccines for COVID-19 to contain the global pandemic and the investment in billions of US dollars in space exploration projects and the blooming space-tourism industry fueled by the latest reusable space vessels. Now, it is time to examine where the translation of plur

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Boehnke, Natalie. "Abstract IA009: An integrative approach to nanomedicine: Leveraging new tools to advance drug delivery." Molecular Cancer Therapeutics 23, no. 12_Supplement (2024): IA009. https://doi.org/10.1158/1538-8514.cancerchem24-ia009.

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Abstract In the era of personalized cancer medicine, therapeutics are becoming increasingly complex, requiring advanced delivery systems, such as nanoparticles, to ensure their safety and efficacy. While current formulation strategies focus predominantly on drug loading, stability, and enhanced circulation, the role that nanoparticle composition plays in driving interactions with the biological environment to improve cell targeting and tumor accumulation remains an underexplored concept. Successful translation of drug delivery systems is additionally hampered by an incomplete understanding of

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Orozco, Gisela. "Fine mapping with epigenetic information and 3D structure." Seminars in Immunopathology 44, no. 1 (2022): 115–25. http://dx.doi.org/10.1007/s00281-021-00906-4.

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AbstractSince 2005, thousands of genome-wide association studies (GWAS) have been published, identifying hundreds of thousands of genetic variants that increase risk of complex traits such as autoimmune diseases. This wealth of data has the potential to improve patient care, through personalized medicine and the identification of novel drug targets. However, the potential of GWAS for clinical translation has not been fully achieved yet, due to the fact that the functional interpretation of risk variants and the identification of causal variants and genes are challenging. The past decade has se

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Otaniyazova, Mukhabbat. "Integrating ICT And Innovation inForeign Language Teaching: A Methodological Review." American Journal Of Social Sciences And Humanity Research 5, no. 5 (2025): 10–13. https://doi.org/10.37547/ajsshr/volume05issue05-03.

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This article explores the evolution and diversification of foreign language teaching methodologies, with a particular focus on the integration of information and communication technologies (ICT). It contrasts traditional grammar-translation approaches withcontemporary communicative and task-based methods, emphasizing the learner-centered nature of modern pedagogy. Innovative strategies such as CLIL (Content and Language Integrated Learning), gamification, blended learning, and the flipped classroom model are examined for their effectiveness in enhancing student engagement and language proficie

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Mark N., Saldivar, John, and Fernandez, Bernadeth L. "Concept Analysis of Adaptive Learning Strategy in English Language Teaching (ALS-ELT)." International Journal of Social Sciences and English Literature 8 (December 21, 2024): 45–56. https://doi.org/10.55220/2576683x.v8.231.

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Adaptive Learning Strategies (ALS) are revolutionary forces in the ever-changing educational landscape, where varied learning contexts and technological breakthroughs converge. This study aimed to acquire a nuanced understanding of the concept while providing empirical support and new information on the usefulness and effects of ALS on language learning outcomes. Research articles from open-access databases such as Google Scholar, CrossRef, and OpenAlex published from 2019-2024 were carefully analyzed using Walker and Avant’s eight-step analysis. Keywords utilized were adaptive learning, knowl

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Arbitrio, Mariamena, Maria Teresa Di Martino, Francesca Scionti, Vito Barbieri, Licia Pensabene, and Pierosandro Tagliaferri. "Pharmacogenomic Profiling of ADME Gene Variants: Current Challenges and Validation Perspectives." High-Throughput 7, no. 4 (2018): 40. http://dx.doi.org/10.3390/ht7040040.

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In the past decades, many efforts have been made to individualize medical treatments, taking into account molecular profiles and the individual genetic background. The development of molecularly targeted drugs and immunotherapy have revolutionized medical treatments but the inter-patient variability in the anti-tumor drug pharmacokinetics (PK) and pharmacodynamics can be explained, at least in part, by genetic variations in genes encoding drug metabolizing enzymes and transporters (ADME) or in genes encoding drug receptors. Here, we focus on high-throughput technologies applied for PK screenin

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Dr. Ankit Kumar and Dr. Mohit Arora. "Cognitive Linguistics in Medicine: How Language Shapes Perception, Decision-Making and Patient Care." International Journal of Linguistics Applied Psychology and Technology (IJLAPT) 2, no. 02(Feb) (2025): 25–34. https://doi.org/10.69889/ijlapt.v2i02(feb).93.

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Language plays a pivotal role in medicine, influencing clinical decision-making, patient perceptions, and healthcare outcomes. Cognitive linguistics and psychology provide crucial insights into how linguistic framing, biases, and communication strategies impact medical practice. The framing effect, cognitive biases such as anchoring and confirmation bias, and the psychological implications of medical terminology significantly alter both physician and patient decision-making. Additionally, effective doctor-patient communication fosters trust and improves treatment adherence, while language barr

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