A User Location Reset Method through Object Recognition in Indoor Navigation System Using Unity and a Smartphone (INSUS) by Evianita Dewi Fajrianti, Yohanes Yohanie Fridelin Panduman, Nobuo Funabiki, Amma Liesvarastranta Haz, Komang Candra Brata, Sritrusta Sukaridhoto

“…The results show that <i>YOLOv8</i> achieved mAP@0.5 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.995</mn></mrow></semantics></math></inline-formula> and mAP@0.5:0.95 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.978</mn></mrow></semantics></math></inline-formula>, and <i>PaddleOCR</i> could extract text in the <i>sign image</i> accurately with an averaged CER% lower than 10%. …”
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Analysis Of The Practicality Of Educational Animation Learning Media Based On Linktr.Ee On Explanatory Text Material For 11th Grade Students Of State High School 4 Tanjungpinang Fo... by Loren Fabio Testy Ariance, Elfitra Legi, Wahyusari Ahada, Malik Abdul, Santy Isnaini Leo, Selvira Lisa, Sarkity Dios, Zhou Shenglan

“…Therefore, this research aims to see the practicality of educational animation learning media using the Linktr.ee platform in explanatory text material for class XI students at SMA Negeri 4 Tanjungpinang for the 2023/2024 academic year. …”
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Linguistic complexity in second language development: variability and variation at advanced stages by Marjolijn Verspoor, Wander Lowie, Hui Ping Chan, Louisa Vahtrick

“…Study 1 is a single case study that explores which linguistic complexity measures capture overall development best for this individual and average word length and finite verb ratio are found to correlate strongly with both development over time and text ratings. …”
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Effects of shared reading aloud on emotional and linguistic learning: A longitudinal study in preschools by Paolo Di Nicola, Linda Petrucci

“…Using the Test of Emotion Comprehension (TEC) and the Test of Comprehension of Oral Text (TOR), we found significant improvements in the two tests used. …”
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SMART: Semantic, Multi-Objective, and Reinforcement-Based Adversarial Training for Email Spam Detection by Kamal Taha

“…SMART integrates several advanced techniques, including text cleaning and tokenization, word embeddings, K-means clustering for semantic enhancement, multiobjective adversarial training, and reinforcement learning for dynamic spam detection. …”
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Is the vocabulary level of the reading section of the TOEFL internet-based test beyond the lexical level of Japanese senior high school students? by Masaya Kaneko

“…Results showed that the most frequent 3,000 word families plus proper nouns as well as words that are defined in context yielded an average text coverage of 88.5% and that 6,000 word families plus proper nouns and defined words accounted for 95% of the text, and around 10,000 word families 98%. …”
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Feature Selection Techniques for Enhancing App User Review Analysis by Amran Salleh, Mohd Hafeez Osman, Sa'Adah Hassan, Mar Yah Said

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Genesis of the Logico-Semantic Organization of Adolescents Speech in the Post-Nonclassical Perspective of the Contemporaneity by Natalya Tokareva

“…The subject of analysis were meaningful text content (denotative content presentation units and their hierarchical matching) and logical ordering of the speech utterance structure (proportional correlation of each of the microtopics within the logics of integral text, compliance consistency of information blocks, ensuring communications between first-order predicators). …”
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Analyzing social media discourse of avian influenza outbreaks by Marzieh Soltani, Shayan Sharif, Rozita Dara

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Short Message Service-based intervention to improve child immunization visit rates: preliminary findings from a pilot activity in communities with low immunization appointment rate... by Ye.O. Grechukha, N.M. Kolachynskyi, N.O. Ivanchenko, A.V. Kovalchuk, A.P. Volokha, G.V. Gnyloskurenko

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MFEAM: Multi-View Feature Enhanced Attention Model for Image Captioning by Yang Cui, Juan Zhang

“…To accurately represent the entangled features of vision and text, the teacher model employs the multi-view feature enhanced attention to guide the student model training through knowledge distillation and model averaging from both visual and textual views. …”
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Physical Activity after Cardiac EventS (PACES): a group education programme with subsequent text message support designed to increase physical activity in individuals with diagnose... by Melanie J Davies, Kamlesh Khunti, Laura J Gray, Thomas Yates, Helen Dallosso, Samuel Seidu, Alex V Rowlands, Patrick J Highton, Louisa Y Herring, Sally Schreder, Emily J Smith, Ghazala Waheed, Ian Hudson

“…The programme consisted of two 2.5 hour sessions delivered 2 weeks apart, followed by supplementary text message support. The GENEActiv accelerometer assessed the primary outcome at 12 months (change in overall physical activity (expressed in milli gravitational (mg) units) from baseline). …”
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AN ALGORITHM FOR GENERATING WORD LISTS WITH A SPECIFIED BIGRAM DISTRIBUTION FOR KEYSTROKE DYNAMICS BIOMETRIC TEMPLATE REGISTRATION by Evgeniy V. Shklyar

“…These parameters ensure a registration text input time of less than one minute at an average typing speed of 220 characters per minute. …”
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Quantitative evaluation of China's adolescent physical activity policies: a PMC Index model approach by Xinzhu Huang, Changsheng Zhang, Jiang Li, Xianming Ding

“…This paper first constructs PMC-Index model, then conducts quantitative analysis on the text, and finally calculates the scores of nine policies in various dimensions to analyze the advantages and disadvantages of the policies. …”
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Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records by Judit M. Wulcan, Kevin L. Jacques, Mary Ann Lee, Samantha L. Kovacs, Nicole Dausend, Lauren E. Prince, Jonatan Wulcan, Sina Marsilio, Stefan M. Keller

“…Large language models (LLMs) can extract information from veterinary electronic health records (EHRs), but performance differences between models, the effect of hyperparameter settings, and the influence of text ambiguity have not been previously evaluated. …”
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A Lexicon-Based Framework for Mining and Analysis of Arabic Comparative Sentences by Alaa Hamed, Arabi Keshk, Anas Youssef

“…People tend to share their opinions on social media daily. This text needs to be accurately mined for different purposes like enhancements in services and/or products. …”
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Comment ChatGPT fabrique une nouvelle réalité dans l’écriture by Veronika Yurchenko, Oleksii Nalyvaiko

“…The findings indicate that participants struggled to differentiate between human and AI-generated texts, with an average accuracy of 5.48 out of 15. …”
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Headline-Guided Extractive Summarization for Thai News Articles by Pimpitchaya Kositcharoensuk, Nakarin Sritrakool, Ploy N. Pratanwanich

“…Text summarization is a process of condensing lengthy texts while preserving their essential information. …”
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Assessment of students’ critical thinking maturity in the process of teaching philosophy by A. I. Pavlovskij, O. V. Pavlovskaya

“…The development of critical thinking was assessed during the analysis of the philosophical text. Prior to the test, it is worth noting that the authors conducted an expert assessment of the text, which later served as a reference assessment, and developed a grading scale. …”
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Approximate String Matching with Non-Overlapping Adjacent Unbalanced Translocations by Domenico Cantone, Simone Faro, Arianna Pavone

“…This kind of edit operation takes place when two adjacent substrings of the text swap, resulting in a modified string. The two involved substrings are allowed to be of different lengths. …”
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