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Journal articles on the topic 'Computational language documentation'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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1

Vinnarasu, A., and V. Jose Deepa. "Speech to text conversion and summarization for effective understanding and documentation." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 3642–48. https://doi.org/10.11591/ijece.v9i5.pp3642-3648.

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Speech, is the most powerful way of communication with which human beings express their thoughts and feelings through different languages. The features of speech differs with each language. However, even while communicating in the same language, the pace and the dialect varies with each person. This creates difficulty in understanding the conveyed message for some people. Sometimes lengthy speeches are also quite difficult to follow due to reasons such as different pronunciation, pace and so on. Speech recognition which is an inter disciplinary field of computational linguistics aids in develo
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A, Vinnarasu, and Deepa V. Jose. "Speech to text conversion and summarization for effective understanding and documentation." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 3642. http://dx.doi.org/10.11591/ijece.v9i5.pp3642-3648.

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<p class="western" style="margin-top: 0.21cm; margin-bottom: 0cm;" align="justify"><span>Speech, is the most powerful way of communication with which human beings express their thoughts and feelings through different languages. The features of speech differs with each language. However, even while communicating in the same language, the pace and the dialect varies with each person. This creates difficulty in understanding the conveyed message for some people. Sometimes lengthy speeches are also quite difficult to follow due to reasons such as different pronunciation, pace and so on
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Feldman, Jerome A. "Advances in Embodied Construction Grammar." Constructions and Frames 12, no. 1 (2020): 149–69. http://dx.doi.org/10.1075/cf.00038.fel.

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Abstract This paper describes the continuing goals and present status of the ICSI/UC Berkeley efforts on Embodied Construction Grammar (ECG). ECG is semantics-based formalism grounded in cognitive linguistics. ECG is the most explicitly inter-disciplinary of the construction grammars with deep links to computation, neuroscience, and cognitive science. Work continues on core cognitive, computational, and linguistic issues, including aspects of the mind/body problem. Much of the recent emphasis has been on applications and on tools to facilitate new applications. Extensive documentation plus dow
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. Dhote, Monali G., Manasi P. Deore, Tushar Jadhav, Samir N. Ajani, Pushpa M. Bangare, and Manisha Kishor Bhole. "Hybrid Vision-Language Models for Real-Time Surgical Report Generation and Documentation." Journal of Neonatal Surgery 14, no. 10S (2025): 1–12. https://doi.org/10.52783/jns.v14.2752.

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The integration of artificial intelligence (AI) in healthcare has significantly improved surgical documentation and workflow efficiency. Traditional manual documentation methods are time-consuming, prone to errors, and can divert surgeons’ attention from critical tasks. This research explores the development of Hybrid Vision-Language Models (VLMs) for real-time surgical report generation and documentation, leveraging state-of-the-art deep learning techniques in computer vision and natural language processing (NLP). Our proposed model integrates a vision module that captures and analyses surgic
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Feraru, Silvia Monica, Horia-Nicolai Teodorescu, and Marius Dan Zbancioc. "SRoL - Web-based Resources for Languages and Language Technology e-Learning." International Journal of Computers Communications & Control 5, no. 3 (2010): 301. http://dx.doi.org/10.15837/ijccc.2010.3.2483.

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The SRoL Web-based spoken language repository and tool collection includes thousands of voice recordings grouped on sections like "Basic sounds of the Romanian language", "Emotional voices", "Specific language processes", "Pathological voices", "Comparison of natural and synthetic speech", "Gnathophonics and gnathosonics". The recordings are annotated and documented according to proprietary methodology and protocols. Moreover, we included on the site extended documentation on the Romanian language, on speech technology, and on tools, produced by the SRoL team, for voice analysis. The resources
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Madlazim, M., and Bagus Jaya Santosa. "Computational physics Using Python: Implementing Maxwell Equation for Circle Polarization." Jurnal Penelitian Fisika dan Aplikasinya (JPFA) 1, no. 1 (2011): 1. http://dx.doi.org/10.26740/jpfa.v1n1.p1-7.

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Python is a relatively new computing language, created by Guido van Rossum [A.S. Tanenbaum, R. van Renesse, H. van Staveren, G.J. Sharp, S.J. Mullender, A.J. Jansen, G. van Rossum, Experiences with the Amoeba distributed operating system, Communications of the ACM 33 (1990) 46–63; also on-line at http://www.cs.vu.nl/pub/amoeba/, which is particularly suitable for teaching a course in computational physics. There are two questions to be considered: (i) For whom is the course intended? (ii) What are the criteria for a suitable language, and why choose Python? The criteria include the nature of t
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A Villarama, Joseph. "Dictionary Analysis: Features and Lemmatisation." International Research Journal of Multidisciplinary Scope 06, no. 03 (2025): 296–309. https://doi.org/10.47857/irjms.2025.v06i03.05000.

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Language documentation in the Philippines includes comprehensive vocabulary compilations, where dictionaries evolved, leading to modernisation and standardisation. Selected based on institutional authority, lexicographical relevance, and educational significance, this study compares “UP Diksiyonaryong Filipino” (UPDF) and “KWF Diksiyonaryo ng Wikang Filipino” (KWF-DWF), in terms of features, lemmatisation approach, and modern relevance, through a qualitative descriptive content analysis anchored on CULU (coverage, user interface, lemmatisation, and usability) framework, without the utilisation
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Mwayiwawo, Fortune Solomon Kamvantope, and Jimu Pempho. "Inclusive indigenous simple programming language and interpreter written in chichewa (chich++)." i-manager’s Journal on Software Engineering 18, no. 4 (2024): 1. http://dx.doi.org/10.26634/jse.18.4.20726.

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This paper aims to bridge the digital divide in Malawi's primary and secondary schools by developing Chich++, a simple console-based programming language in Chichewa (Nyanja). The goal is to teach fundamental programming and computational concepts to children and adults, especially those with limited English proficiency. Inspired by countries like Germany, China, and Japan, which teach IT in native languages, this initiative seeks to provide Malawian students with culturally and linguistically relevant programming education. By using Chichewa, Chich++ aims to democratize programming education
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Tasheva, Nafisa. "The Evolution of Modern Linguistics: Key Concepts and Trends." MEDICINE, PEDAGOGY AND TECHNOLOGY: THEORY AND PRACTICE 2, no. 11 (2024): 31–39. https://doi.org/10.5281/zenodo.14063390.

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This article explores the evolution of modern linguistics, highlighting key developments, methodologies, and interdisciplinary trends in the study of language. It examines foundational branches such as phonetics, syntax, semantics, sociolinguistics, and psycholinguistics, while also discussing emerging fields like computational linguistics and the impact of artificial intelligence on language research. The article emphasizes the shift towards more cognitive, socially oriented, and technology-driven approaches to linguistics, noting the rise of cognitive linguistics, language documentation, and
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Esther, N. Oweleke. "Lexical Standardization and Documentation: The Challenges of the Igbo Lexicographer." Asian Journal of Humanities and Social Studies 10, no. 2 (2022): 47–59. https://doi.org/10.5281/zenodo.7257793.

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The role of a dictionary as an instrument of language standardization, documentation and pedagogy is indisputable. A survey of extant Igbo dictionaries reveals the absence of a standard Igbo dictionary, even though excellent grammars exist in the variety. A number of significant issues has made the production of a standard dictionary unrealized till date in Igbo studies even in the face of the huge benefits of computational lexicography. The Igbo lexicographer is faced with the challenges of deciding what to include as a standard lexical item and how to represent it in the dictionary. The pape
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Et.al, Naveen N. Kulkarni. "Tailoring effective requirement's specification for ingenuity in Software Development Life Cycle." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 3338–44. http://dx.doi.org/10.17762/turcomat.v12i3.1590.

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Software Requirements Engineering (SRE) process define software manuscripts with sustaining Software Requirement Specification (SRS) and its activities. SRE comprises many tasks requirement analysis, elicitation, documentation, conciliation and validation. Natural language is most popular and commonly used to form the SRS document. However, natural language has its own limitations wrt quality approach for SRS. The constraints include incomplete, incorrect, ambiguous, and inconsistency. In software engineering, most applications are object-oriented. So requirements are unlike problem domain nee
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Xu, Xiufeng, Fuman Xie, Chenguang Zhu, Guangdong Bai, Sarfraz Khurshid, and Yi Li. "Identifying Multi-parameter Constraint Errors in Python Data Science Library API Documentation." Proceedings of the ACM on Software Engineering 2, ISSTA (2025): 1536–58. https://doi.org/10.1145/3728945.

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Modern AI- and Data-intensive software systems rely heavily on data science and machine learning libraries that provide essential algorithmic implementations and computational frameworks. These libraries expose complex APIs whose correct usage has to follow constraints among multiple interdependent parameters. Developers using these APIs are expected to learn about the constraints through the provided documentation and any discrepancy may lead to unexpected behaviors. However, maintaining correct and consistent multi-parameter constraints in API documentation remains a significant challenge fo
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Zulkower, Valentin, and Susan Rosser. "DNA Features Viewer: a sequence annotation formatting and plotting library for Python." Bioinformatics 36, no. 15 (2020): 4350–52. http://dx.doi.org/10.1093/bioinformatics/btaa213.

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Abstract Motivation Although the Python programming language counts many Bioinformatics and Computational Biology libraries; none offers customizable sequence annotation visualizations with layout optimization. Results DNA Features Viewer is a sequence annotation plotting library which optimizes plot readability while letting users tailor other visual aspects (colors, labels, highlights etc.) to their particular use case. Availability and implementation Open-source code and documentation are available on Github under the MIT license (https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewe
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Haryanto, Jessica Febrina. "21st Century Critical Thinking Skills Training for Early Childhood Education Teachers Using Computational Thinking Principles." Jurnal Pengabdian UNDIKMA 6, no. 2 (2025): 320. https://doi.org/10.33394/jpu.v6i2.15358.

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This community service program aims to guide early childhood education teachers in integrating Computational Thinking (CT) principles into classroom learning using English as the language of instruction. The implementation method of this community service activity consisted of workshops and mentoring sessions. The target participants of this program were PAUD teachers at PPT Mutiara Bunda Ondomohen Surabaya. The data collected through observation sheets and documentation was analyzed to know teachers' ability to incorporate CT principles into teaching and implement them in the classroom. The r
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Vo, Hoang Nhat Khang, Duc Dong Le, Tran Minh Dat Phan, et al. "Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 23360–68. http://dx.doi.org/10.1609/aaai.v38i21.30385.

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The Bahnar, a minority ethnic group in Vietnam with ancient roots, hold a language of deep cultural and historical significance. The government is prioritizing the preservation and dissemination of Bahnar language through online availability and cross-generational communication. Recent AI advances, including Neural Machine Translation (NMT), have transformed translation with improved accuracy and fluency, fostering language revitalization through learning, communication, and documentation. In particular, NMT enhances accessibility for Bahnar language speakers, making information and content mo
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Rougny, Adrien. "sbgntikz—a TikZ library to draw SBGN maps." Bioinformatics 35, no. 21 (2019): 4499–500. http://dx.doi.org/10.1093/bioinformatics/btz287.

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Abstract Summary The systems biology graphical notation (SBGN) has emerged as the main standard to represent biological maps graphically. It comprises three complementary languages: Process Description, for detailed biomolecular processes; Activity Flow, for influences of biological activities and Entity Relationship, for independent relations shared among biological entities. On the other hand, TikZ is one of the most commonly used package to ‘program’ graphics within TEX/LATEX. Here, we present sbgntikz, a TikZ library that allows drawing and customizing SBGN maps directly into TEX/LATEX doc
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Ani, Ahmad Faisal Zam, Muhammad Thohir, Moch Qomaruddin, Arina Fadlilatar Rifqi, and Intan Nur Fauziah Saputri. "In Between Code and Knowledge Exploring Students' Computational Thinking in Analyzing Arabic Texts." Asalibuna 8, no. 02 (2024): 1–17. https://doi.org/10.30762/asalibuna.v8i02.2845.

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Computational thinking has become a crucial skill in the 21st century, particularly in fostering critical thinking and problem-solving abilities. In their research, the Arabic Language teacher for Grade X Religion 1 at MAN 2 Banyuwangi has employed computational thinking skills in teaching Arabic text. This article aims to investigate students' computational thinking in analyzing Arabic texts. The research methodology employed a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. Data analysis utilized the qualitative analysis
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Lorenzoni, Giulia, Anna Garbin, Gloria Brigiari, Cinzia Anna Maria Papappicco, Vinicio Manfrin, and Dario Gregori. "Large Language Models in Action: Supporting Clinical Evaluation in an Infectious Disease Unit." Healthcare 13, no. 8 (2025): 879. https://doi.org/10.3390/healthcare13080879.

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Background/Objectives: Healthcare-associated infections (HAIs), including sepsis, represent a major challenge in clinical practice owing to their impact on patient outcomes and healthcare systems. Large language models (LLMs) offer a potential solution by analyzing clinical documentation and providing guideline-based recommendations for infection management. This study aimed to evaluate the performance of LLMs in extracting and assessing clinical data for appropriateness in infection prevention and management practices of patients admitted to an infectious disease ward. Methods: This retrospec
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Jones, Joshua P., Kurama Okubo, Tim Clements, and Marine A. Denolle. "SeisIO: A Fast, Efficient Geophysical Data Architecture for the Julia Language." Seismological Research Letters 91, no. 4 (2020): 2368–77. http://dx.doi.org/10.1785/0220190295.

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Abstract SeisIO for the Julia language is a new geophysical data framework that combines the intuitive syntax of a high-level language with performance comparable to FORTRAN or C. Benchmark comparisons against recent versions of popular programs for seismic data download and analysis demonstrate significant improvements in file read speed and orders-of-magnitude improvements in memory overhead. Because the Julia language natively supports parallel computing with an intuitive syntax, we benchmark test parallel download and processing of multiweek segments of contiguous data from two sets of 10
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Swapnil Shinde, Vishnu Suryawanshi, Varsha Jadhav, Nakul Sharma, Mandar Diwakar,. "Graph-Based Keyphrase Extraction for Software Traceability in Source Code and Documentation Mapping." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 832–36. http://dx.doi.org/10.17762/ijritcc.v11i9.8973.

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Natural Language Processing (NLP) forms the basis of several computational tasks. However, when applied to the software system’s, NLP provides several irrelevant features and the noise gets mixed up while extracting features. As the scale of software system’s increases, different metrics are needed to assess these systems. Diagrammatic and visual representation of the SE projects code forms an essential component of Source Code Analysis (SCA). These SE projects cannot be analyzed by traditional source code analysis methods nor can they be analyzed by traditional diagrammatic representation. He
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Balamurugan Sivakolunthu Vel. "Scaling BERT for Healthcare: An End-to-End Framework for Medical Document Automation." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 916–24. https://doi.org/10.32628/cseit25111293.

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This article proposes a comprehensive framework for implementing BERT-based language models at scale for automated medical document processing in healthcare environments. Recent studies have demonstrated BERT models achieving accuracy rates of up to 89.7% in medical entity recognition tasks [2], suggesting significant potential for healthcare applications. The proposed architecture introduces a novel hierarchical attention mechanism specifically engineered to capture the nested complexity of medical documentation while maintaining computational efficiency in production systems. Drawing inspira
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RHEAMS, DAVID. "Ethnographic Perspectives on AI Chatbots in Customer Support." Ethnographic Praxis in Industry Conference Proceedings 2024, no. 1 (2024): 183–95. https://doi.org/10.1111/epic.12202.

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This study on the integration of artificial intelligence (AI) and large language models (LLMs) presents key findings for the effective and ethical deployment of AI in organizations. It presents original research on the deployment of an AI‐powered assistant at Atlassian that was designed to support engineers by summarizing technical documentation and generating example customer responses. Using ethnographic methods and computational analysis, the study examined the nuanced impacts of AI on labor dynamics, efficiency, and empathetic communication within technical support roles. Findings include
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Davis, Joshua Paul, Nicole Agaronnik, Thomas Sounack, and Charlotta Lindvall. "Using large language models to assess adherence to ASCO patient-oncologist communication standards." Journal of Clinical Oncology 43, no. 16_suppl (2025): 12105. https://doi.org/10.1200/jco.2025.43.16_suppl.12105.

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12105 Background: The American Society of Clinical Oncology (ASCO) convened a multidisciplinary panel resulting in patient-oncologist communication guidelines published in 2017. These guidelines contain recommendations across topics including goals of care, treatment selection, end-of-life care, facilitating family involvement, and clinician training in communication. Ideally, these conversations should be documented in the electronic health record (EHR), so that they can be referred to at future visits as a patient’s clinical course evolves. Tracking adherence to these communication guideline
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Gray, Bethany, and Douglas Biber. "Lexical frames in academic prose and conversation." Current issues in phraseology 18, no. 1 (2013): 109–36. http://dx.doi.org/10.1075/ijcl.18.1.08gra.

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While lexical bundles research identifies continuous sequences (e.g. the end of the, I don’t know if), researchers have also been interested in discontinuous sequences in which words form a ‘frame’ surrounding a variable slot (e.g. I don’t * to, it is * to). To date, most research has focused on a few intuitively-selected frames, or has begun with frequent continuous sequences and then analyzed those to identify associated frames. Few previous studies have attempted to directly identify the full set of discontinuous sequences in a corpus. In the present study, we work towards that goal, using
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Więcławska, Edyta. "Discrete units as markers of English/Polish contrasts in company registration discourse." Linguodidactica 24 (2020): 309–27. http://dx.doi.org/10.15290/lingdid.2020.24.22.

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The paper addresses the issue of the complexity of legal communication in an interlingual perspective. The analysis fits in the paradigmatic approach to contrastive studies, where the distribution of discrete units is presented in quantitative terms. The cross-linguistic, computational account of the distribution of selected discrete units across company registration documentation shows systemic distinctions. It discloses recurrent, symmetrical and asymmetrical patterns which result from language system-inherent distinctions and/or the operation of translation universals. The strong point of t
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Becker, Robert, Laura Steffny, Thomas Bleistein, and Dirk Werth. "From Data to Design." atp magazin 66, no. 6-7 (2024): 80–87. http://dx.doi.org/10.17560/atp.v66i6-7.2738.

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This paper explores the application of Large Language Models (LLMs) in the automotive and supplier industries, with a particular focus on the use of retrieval-augmented generation (RAG) systems to streamline information retrieval from technical documentation. The research, part of the CoLab4DigiTwin project, investigates how digital twins supported by smart services can enhance interdisciplinary collaboration and reduce the reliance on manual data searches. We developed a pipeline utilizing a RAG architecture which uses a vector database for efficient data management and fast access to relevan
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Greener, Joe G., Joel Selvaraj, and Ben J. Ward. "BioStructures.jl: read, write and manipulate macromolecular structures in Julia." Bioinformatics 36, no. 14 (2020): 4206–7. http://dx.doi.org/10.1093/bioinformatics/btaa502.

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Abstract Summary Robust, flexible and fast software to read, write and manipulate macromolecular structures is a prerequisite for productively doing structural bioinformatics. We present BioStructures.jl, the first dedicated package in the Julia programming language for dealing with macromolecular structures and the Protein Data Bank. BioStructures.jl builds on the lessons learned with similar packages to provide a large feature set, a flexible object representation and high performance. Availability and implementation BioStructures.jl is freely available under the MIT license. Source code and
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Kramer, Nicole E., Eric S. Davis, Craig D. Wenger, et al. "Plotgardener: cultivating precise multi-panel figures in R." Bioinformatics 38, no. 7 (2022): 2042–45. http://dx.doi.org/10.1093/bioinformatics/btac057.

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Abstract Motivation The R programming language is one of the most widely used programming languages for transforming raw genomic datasets into meaningful biological conclusions through analysis and visualization, which has been largely facilitated by infrastructure and tools developed by the Bioconductor project. However, existing plotting packages rely on relative positioning and sizing of plots, which is often sufficient for exploratory analysis but is poorly suited for the creation of publication-quality multi-panel images inherent to scientific manuscript preparation. Results We present pl
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Kurniawan, Rafli Husain, Irfan Santiko, and Gustin Setyaningsih. "Savings Application Design Concept Model in Website-Based Cooperative Units." Journal of Multimedia Trend and Technology 2, no. 1 (2023): 57–63. https://doi.org/10.35671/jmtt.v2i1.26.

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Data Processing of data for cooperative operational activities such as the process of savings, loans, and installments that still use manual calculations. Incoming data is still recorded so it takes a long time for the next process which is less efficient and sometimes errors occur in data entry. To overcome this, a system is needed to expedite and speed up these activities so that in the data entry process there are no errors. Extreme Programming modeling is the method that will be used by researchers to create the system, while for the data collection process, interviews, observations, and d
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Taylor, R. Andrew, Aidan Gilson, Wade Schulz, et al. "Computational phenotypes for patients with opioid-related disorders presenting to the emergency department." PLOS ONE 18, no. 9 (2023): e0291572. http://dx.doi.org/10.1371/journal.pone.0291572.

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Objective We aimed to discover computationally-derived phenotypes of opioid-related patient presentations to the ED via clinical notes and structured electronic health record (EHR) data. Methods This was a retrospective study of ED visits from 2013–2020 across ten sites within a regional healthcare network. We derived phenotypes from visits for patients ≥18 years of age with at least one prior or current documentation of an opioid-related diagnosis. Natural language processing was used to extract clinical entities from notes, which were combined with structured data within the EHR to create a
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Tleugabulov, Daniyar T., Azamat T. Dukombaiev та Tatyana V. Brynza. "Сохранение сырцовой архитектуры Тенгиз-Коргалжынской впадины с использованием 3D-технологий". Oriental Studies 15, № 5 (2022): 1094–109. http://dx.doi.org/10.22162/2619-0990-2022-63-5-1094-1109.

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Introduction. The article describes a 3D documentation and visualization technique. Goals. The study seeks to preserve and reconstruct key forms and types of Kazakh memorial architecture with the aid of visual archeology tools. Materials and methods. The work started with determination of morphological characteristics inherent to the objects under study — mudbrick mausoleums. In accordance with the latter, a three-dimensional visualization technique was selected. The photography scenarios have been developed following recommendations of the software developers. The paper provides detailed insi
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Ram Mohan Reddy Pothula. "Human-AI Collaboration in Pharmacy Decision Systems: Transforming Healthcare through Intelligent Partnership." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 1659–68. https://doi.org/10.32628/cseit25112532.

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Human-AI collaboration in pharmacy decision systems represents a transformative approach to pharmaceutical care, leveraging the complementary strengths of artificial intelligence and pharmacist expertise. This partnership enhances medication management through intelligent decision support systems that analyze vast datasets while preserving critical human judgment. The integration of predictive analytics enables proactive intervention for patients at risk for adverse events or non-adherence, while natural language processing extracts valuable insights from unstructured clinical documentation. D
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Trivedi, Mitul Ashvinbhai. "Building a Sentiment Classification Model with ChatGPT: A Low-Code Innovation." European Journal of Computer Science and Information Technology 13, no. 33 (2025): 76–85. https://doi.org/10.37745/ejcsit.2013/vol13n337685.

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The integration of Large Language Models like ChatGPT into machine learning workflows represents a transformative shift in how sentiment classification models are developed, making advanced artificial intelligence accessible to those without extensive programming expertise. Through structured prompting strategies, including Task-Actions-Guidelines (TAG) and Persona-Instructions-Context (PIC) frameworks, individuals with basic computational thinking can now navigate complex technical processes from data preprocessing to model evaluation. This democratized paradigm demonstrates comparable perfor
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Gudkova, E. A. "Analysis and Documentation of Requirements for the Software Package for Conducting Computational Experiments and Numerical Investigation “Flow Tube – Liquid” System of a Coriolis Flow Meter." Моделирование и анализ данных 14, no. 2 (2024): 140–51. http://dx.doi.org/10.17759/mda.2024140210.

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<p>Item. This article describes the stages of development of a software package designed to conduct a series of computational experiments on numerical modeling of the “flow tube – liquid” system of a Coriolis flow meter and automation of algorithms for subsequent data processing and visualization. The purpose of this article is to formulate and document the requirements for a software package, and its design based on modern approaches to the development of software products. Methods. The structure of requirements for the software package was developed based
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Azad, Sasha, Jennifer Wellnitz, Luis Garcia, and Chris Martens. "Anthology: A Social Simulation Framework." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 18, no. 1 (2022): 224–31. http://dx.doi.org/10.1609/aiide.v18i1.21967.

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Social simulation research seeks to understand the dynamics of complex human behavior by simulating populations of individual decision-makers as multi-agent systems. However, prior work in games and entertainment fail to account for interactions between social behavior, geography, and relationships in a manner that allows researchers to easily reuse their frameworks and model social characters. We present Anthology, an extensible software framework for modeling human social systems, within the context of an ongoing research agenda to integrate AI techniques from social simulation games and com
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Nanthaamornphong, Aziz, Jeffrey Carver, Karla Morris, and Salvatore Filippone. "Extracting UML Class Diagrams from Object-Oriented Fortran: ForUML." Scientific Programming 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/421816.

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Many scientists who implement computational science and engineering software have adopted the object-oriented (OO) Fortran paradigm. One of the challenges faced by OO Fortran developers is the inability to obtain high level software design descriptions of existing applications. Knowledge of the overall software design is not only valuable in the absence of documentation, it can also serve to assist developers with accomplishing different tasks during the software development process, especially maintenance and refactoring. The software engineering community commonly uses reverse engineering te
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Astagneau, Paul C., Guillaume Thirel, Olivier Delaigue, et al. "Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective." Hydrology and Earth System Sciences 25, no. 7 (2021): 3937–73. http://dx.doi.org/10.5194/hess-25-3937-2021.

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Abstract. Following the rise of R as a scientific programming language, the increasing requirement for more transferable research and the growth of data availability in hydrology, R packages containing hydrological models are becoming more and more available as an open-source resource to hydrologists. Corresponding to the core of the hydrological studies workflow, their value is increasingly meaningful regarding the reliability of methods and results. Despite package and model distinctiveness, no study has ever provided a comparison of R packages for conceptual rainfall–runoff modelling from a
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Khramtsov, Andrey I., Ruslan A. Nasyrov, and Galina F. Khramtsova. "Application of digital technology in the work of a pathologist: guidelines for learning how to use speech recognition systems." Pediatrician (St. Petersburg) 12, no. 3 (2021): 63–68. http://dx.doi.org/10.17816/ped12363-68.

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Natural language processing is one of the branches of computational linguistics. It is a branch of computer science that includes algorithmic processing of speech and natural language scripts. The algorithms facilitate the development of human-to-machine translation and automatic speech recognition systems (ASRS). ASRS use is twofold: accurately converting operators speech into a coherent and meaningful text and using natural language for interaction with a computer. Currently, these systems are widely used in medical practice, including anatomic pathology. Successful ASRS implementation pivot
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Husáková, Martina, and Vladimír Bureš. "Formal Ontologies in Information Systems Development: A Systematic Review." Information 11, no. 2 (2020): 66. http://dx.doi.org/10.3390/info11020066.

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Computational ontologies are machine-processable structures which represent particular domains of interest. They integrate knowledge which can be used by humans or machines for decision making and problem solving. The main aim of this systematic review is to investigate the role of formal ontologies in information systems development, i.e., how these graphs-based structures can be beneficial during the analysis and design of the information systems. Specific online databases were used to identify studies focused on the interconnections between ontologies and systems engineering. One-hundred ei
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González-Montaña, Luis. "Semantic-based methods for morphological descriptions: An applied example for Neotropical species of genus Lepidocyrtus Bourlet, 1839 (Collembola: Entomobryidae)." Biosystematics and Ecology 1 (November 11, 2021): e71620. https://doi.org/10.1553/biosystecol.1.e71620.

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The production of semantic annotations has gained renewed attention due to the development of anatomical ontologies and the documentation of morphological data. Two methods are proposed in this production, differing in their methodological and philosophical approaches: class-based method and instance-based method. The first, the semantic annotations are established as class expressions, while in the second, the annotations incorporate individuals. An empirical evaluation of the above methods was applied in the morphological description of Neotropical species of the genus <i>Lepidocyrtus</i> (C
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Oliveira, Lucas Lopes, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi, and Alireza Daneshkhah. "Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints." Forecasting 6, no. 1 (2024): 224–38. http://dx.doi.org/10.3390/forecast6010013.

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Early identification of acute gout is crucial, enabling healthcare professionals to implement targeted interventions for rapid pain relief and preventing disease progression, ensuring improved long-term joint function. In this study, we comprehensively explored the potential early detection of gout flares (GFs) based on nurses’ chief complaint notes in the Emergency Department (ED). Addressing the challenge of identifying GFs prospectively during an ED visit, where documentation is typically minimal, our research focused on employing alternative Natural Language Processing (NLP) techniques to
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Friesner, Isabel D., Somya Mohindra, Lauren Boreta, et al. "Natural language processing identification of documented mental health symptoms associated with risk of mental health disorders in patients with cancer." Journal of Clinical Oncology 41, no. 16_suppl (2023): 1561. http://dx.doi.org/10.1200/jco.2023.41.16_suppl.1561.

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1561 Background: Delayed diagnosis and care of mental health disorders (MHD) is a significant challenge in the care for patients with cancer. The objective of this study was to use natural language processing (NLP) to identify words related to mental health documented in clinical notes surrounding the time of cancer diagnosis and assess their predictive ability of future, new MHD. Methods: This single institution cohort study consisted of patients diagnosed with cancer between January 2012 and November 2022. Cancer and MHD were identified based on ICD-10 codes obtained from deidentified electr
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Righelli, Dario, and Claudia Angelini. "Easyreporting simplifies the implementation of Reproducible Research layers in R software." PLOS ONE 16, no. 5 (2021): e0244122. http://dx.doi.org/10.1371/journal.pone.0244122.

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During last years “irreproducibility” became a general problem in omics data analysis due to the use of sophisticated and poorly described computational procedures. For avoiding misleading results, it is necessary to inspect and reproduce the entire data analysis as a unified product. Reproducible Research (RR) provides general guidelines for public access to the analytic data and related analysis code combined with natural language documentation, allowing third-parties to reproduce the findings. We developed easyreporting, a novel R/Bioconductor package, to facilitate the implementation of an
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Pitchanathan, Arjun, Christian Ulmann, Michel Weber, Torsten Hoefler, and Tobias Grosser. "FPL: fast Presburger arithmetic through transprecision." Proceedings of the ACM on Programming Languages 5, OOPSLA (2021): 1–26. http://dx.doi.org/10.1145/3485539.

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Presburger arithmetic provides the mathematical core for the polyhedral compilation techniques that drive analytical cache models, loop optimization for ML and HPC, formal verification, and even hardware design. Polyhedral compilation is widely regarded as being slow due to the potentially high computational cost of the underlying Presburger libraries. Researchers typically use these libraries as powerful black-box tools, but the perceived internal complexity of these libraries, caused by the use of C as the implementation language and a focus on end-user-facing documentation, holds back broad
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Hier, Daniel B., Michael A. Carrithers, Steven K. Platt, Anh Nguyen, Ioannis Giannopoulos, and Tayo Obafemi-Ajayi. "Preprocessing of Physician Notes by LLMs Improves Clinical Concept Extraction Without Information Loss." Information 16, no. 6 (2025): 446. https://doi.org/10.3390/info16060446.

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Clinician notes are a rich source of patient information, but often contain inconsistencies due to varied writing styles, abbreviations, medical jargon, grammatical errors, and non-standard formatting. These inconsistencies hinder their direct use in patient care and degrade the performance of downstream computational applications that rely on these notes as input, such as quality improvement, population health analytics, precision medicine, clinical decision support, and research. We present a large-language-model (LLM) approach to the preprocessing of 1618 neurology notes. The LLM corrected
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Slater, Louise J., Guillaume Thirel, Shaun Harrigan, et al. "Using R in hydrology: a review of recent developments and future directions." Hydrology and Earth System Sciences 23, no. 7 (2019): 2939–63. http://dx.doi.org/10.5194/hess-23-2939-2019.

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Abstract. The open-source programming language R has gained a central place in the hydrological sciences over the last decade, driven by the availability of diverse hydro-meteorological data archives and the development of open-source computational tools. The growth of R's usage in hydrology is reflected in the number of newly published hydrological packages, the strengthening of online user communities, and the popularity of training courses and events. In this paper, we explore the benefits and advantages of R's usage in hydrology, such as the democratization of data science and numerical li
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Alqahtani, Hanaa. "An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R." International Journal of English Linguistics 15, no. 1 (2024): 71. https://doi.org/10.5539/ijel.v15n1p71.

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Jerid Francom&amp;rsquo;s book An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R is an essential textbook for researchers and students alike, who are exploring quantitative text analysis. This book is designed with beginners in mind, it emphasizes reproducible research, offering a structured approach to text analysis through the programming language R. Spanning five interconnected parts, beginning with foundational concepts like the Data-Information-Knowledge-Insight (DIKI) hierarchy, corpus creation, and data curation, advancing to topics like tokeni
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Cattani, G., M. C. Coperchio, F. L. Navarria, and T. Rovelli. "Diffusion Phenomena and Other WWW Applications for An Introductory Physics Course." International Journal of Modern Physics C 08, no. 06 (1997): 1177–92. http://dx.doi.org/10.1142/s0129183197001053.

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The World Wide Web originated within the high-energy physics community from the need to exchange documentation in an efficient way. It can be used easily to produce and maintain didactic material for teaching physics. The material can be made accessible via the network in hypertext form, comprising text, pictures, animations, audio files. For didactic applications in physics, the capability of an interactive link, beyond the use of simple electronic forms is necessary. This was not foreseen in the original WWW protocol, and it has been developed in an application presented here to simulate a s
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Reyes, Brandon C., Irene Otero-Muras, Michael T. Shuen, Alexandre M. Tartakovsky, and Vladislav A. Petyuk. "CRNT4SBML: a Python package for the detection of bistability in biochemical reaction networks." Bioinformatics 36, no. 12 (2020): 3922–24. http://dx.doi.org/10.1093/bioinformatics/btaa241.

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Abstract Motivation Signaling pathways capable of switching between two states are ubiquitous within living organisms. They provide the cells with the means to produce reversible or irreversible decisions. Switch-like behavior of biological systems is realized through biochemical reaction networks capable of having two or more distinct steady states, which are dependent on initial conditions. Investigation of whether a certain signaling pathway can confer bistability involves a substantial amount of hypothesis testing. The cost of direct experimental testing can be prohibitive. Therefore, cons
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JR, Vicno Triwira Dhika, and Teuku Thifly Fakhrur Rizal. "Various Word Shorts in the Podcast of Political Figures Sandiaga Uno: Corpus-Based Analysis." Educaniora: Journal of Education and Humanities 1, no. 2 (2023): 167–77. http://dx.doi.org/10.59687/educaniora.v1i2.50.

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This study aims to examine the use of abbreviation in the political figure Sandiaga Uno's podcast. This research will also bring up the use of corpus linguistics which is very effective in research in the field of linguistics, especially abbreviation or shortening of words. This type of research is a descriptive qualitative research. The advanced method which is the main approach of this research is the corpus linguistic method. Corpus linguistics can be interpreted as research that relies on linguistic data analysis using digital technology. The data in this study were collected using documen
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