Harnessing AI for aphasia: a case report on ChatGPT's role in supporting written expression by Avery K. Allen, Christine Brennan, Christina Riseman, Holly Kleiber, Allison I. Hilger

“…IntroductionAphasia is associated with impairments in written language, including difficulty with sentence formulation, word finding, and editing. While writing aids show promise, artificial intelligence (AI) tools, such as large language models (LLMs), offer new opportunities for individuals with language-based writing challenges.MethodsThis case report describes the use of the LLM, ChatGPT, to improve accuracy, complexity, and productivity in an adult with aphasia. …”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“… BackgroundMachine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. …”
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Direction-Aware Lightweight Framework for Traditional Mongolian Document Layout Analysis by Chenyang Zhou, Monghjaya Ha, Licheng Wu

“…Our model outperforms the best ResNet-50-based model by 3.6% in mAP and the best lightweight model by 4.3% in mAP, while uniquely providing direction prediction capability that other lightweight models lack. …”
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Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…The rapid advancements in large language models (LLMs) have led to the generation of sophisticated AI-produced texts, posing significant challenges in distinguishing machine-generated content from authentic human writing. …”
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Combining memory transfer language with constructivism and reversibility to improve comprehension in introductory programming by Leonard J. Mselle

“…Results from the experimental test that was based on reversibility as applied by Teague and Lister (Teague D, Lister, R. 2014 Programming Reading, Writing and Reversing, ITICSE'14, Uppsala, Sweden. 10.1145/2591708.2591712) indicated that combining MTL with constructivism and reversibility was useful in assisting novices to construct viable mental models and avoid fundamental errors. …”
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Antibiotics and Artificial Intelligence: Clinical Considerations on a Rapidly Evolving Landscape by Daniele Roberto Giacobbe, Sabrina Guastavino, Cristina Marelli, Ylenia Murgia, Sara Mora, Alessio Signori, Nicola Rosso, Mauro Giacomini, Cristina Campi, Michele Piana, Matteo Bassetti

“…Here, we specifically expand the discussion on this crucial topic by introducing three interconnected perspectives: (1) the distinctive commonalities, but also the crucial conceptual differences, between the use of LLMs as assistants in scientific writing and in supporting antibiotic prescribing in real-world practice; (2) the possibility and nuances of the expertise paradox; and (3) the peculiarities of the risk of error when considering LLMs to support complex tasks such as antibiotic prescribing.…”
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Conscious and Correct Use of Biostatistical Methods in Medical Researches: From Planning to Reporting the Results - Part II by Erdem Karabulut, Mehmet Ali Sungur

“…In addition to univariate tests, the three most commonly employed multiple regression models are also addressed to control for the effect of potential confounding factors and other independent variables utilized in the study. …”
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Preprocessing of Physician Notes by LLMs Improves Clinical Concept Extraction Without Information Loss by Daniel B. Hier, Michael A. Carrithers, Steven K. Platt, Anh Nguyen, Ioannis Giannopoulos, Tayo Obafemi-Ajayi

“…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. …”
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Intransigent Vowel-Consonant Position in Korean Dysgraphia: Evidence of Spatial-Constructive Representation by HyangHee Kim, Duk L. Na, Eun Sook Park

“…Dysgraphia due to a focal brain lesion can be characterized by substitution, transposition, deletion and/or addition errors of graphemes or strokes. However, those linguistic errors can be language-specific because the writing system of a given language may influence error patterns. …”
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A method for English paragraph grammar correction based on differential fusion of syntactic features. by Weiling Liu, Caijun Zhao, Yongyi Li, Chenglong Cai, Hong Liu, Ruilin Qiu, Ruoci Su, Bingbing Li

“…It shows the excellent effect of this method in grammar error recognition and correction, and has far-reaching significance in providing accurate error correction suggestions, helping English learners improve their writing ability and ensuring the quality of English writing. …”
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Naskah Pengobatan “Usada” di Bali dan Problematika Pemurnian Teks by I Wayan Suardiana

“…The results obtained indicate that there are many errors in the copy and wrong writing in the decrease in text.…”
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Recognizing Digital Ink Chinese Characters Written by International Students Using a Residual Network with 1-Dimensional Dilated Convolution by Huafen Xu, Xiwen Zhang

“…Recognizing DICCs is crucial for evaluating and correcting writing errors and enhancing the quality of Chinese character teaching for international students. …”
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Genealogy and History. Michel Foucault’s Reading of Nietzsche by Bondor George

“…Finally, I shall discuss the Foucaultian exposition of the problem of history that Nietzsche analyzes in the second of his Untimely Meditations and I shall conclude by showing that the genealogical strategy can be recognized as a new and efficient model of writing history.…”
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A Constrained-Based Optimization Method for Real-Time Kinematics Using Magneto-Inertial Signals: Application to Upper Limb Joint Angles Estimation During Prolonged Recordings by Marco Caruso, Elisa Digo, Laura Gastaldi, Stefano Pastorelli, Andrea Cereatti

“…The method aims to enhance the accuracy and consistency of joint angle estimates by incorporating physiological joint limits and task-specific motor characteristics into the optimization process, thanks to a biomechanical model. As an explanatory example, the method was applied to shoulder and elbow joints during a prolonged writing task. …”
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A Guideline for the Evolution of Quantitative Accounting Research in Iran: Shifting from Local to International Scientific Patterns by Fakhroddin MohammadRezaei

“…Attention is also given to measurement errors in the interest variables of the study. Control variables are categorized into “good” (correlated) and “bad” (colliders, homogeneous construct, high measurement error). …”
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FIRST EXPERIENCE OF PROGRAMMING A COURT DECISION

“…Scientific novelty: the first computer program is created for rendering and production of judicial decisions.Practical significance: the model is made to create a mass tool of judicial activity, to eliminate errors and clearly unjust ruling in the court proceedings, as well as to reduce the production time of the judgement.…”
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Emotional dimensions of feedback: How AI and human responses shape ESL learning outcomes by Amin Shahini

“…Structural Equation Modeling (SEM) was employed to examine both direct and mediated pathways between variables. …”
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Retrospective evaluation of real-time estimates of global COVID-19 transmission trends and mortality forecasts. by Sangeeta Bhatia, Kris V Parag, Jack Wardle, Rebecca K Nash, Natsuko Imai, Sabine L Van Elsland, Britta Lassmann, John S Brownstein, Angel Desai, Mark Herringer, Kara Sewalk, Sarah Claire Loeb, John Ramatowski, Gina Cuomo-Dannenburg, Elita Jauneikaite, H Juliette T Unwin, Steven Riley, Neil Ferguson, Christl A Donnelly, Anne Cori, Pierre Nouvellet

“…We evaluated the robustness of the forecasts produced in real-time using relative error, coverage probability, and comparisons with null models. …”
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Methods and reliability study of moral education assessment in universities: A machine learning-based approach by Ting Jin

“…Additionally, gender-based analysis indicates that female students tend to achieve better results in moral skills assessments than their male counterparts. Among the models tested, SVR exhibits the highest predictive accuracy, whereas k-NN returns the widest prediction errors. …”
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Seismic Response Analysis Method of Damping Structures Based on the Inter-history Iteration and Secondary Development of ABAQUS by JIA Chuanguo, QUAN Ziyu, CHEN Xi, LI Yutao

“…The comparison and error of the first five modes in the two software verify the correctness of the model in ABAQUS. …”
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