Accelerating students’ expository text writing ability in Physical Education utilizing ChatGPT by Asdar Asdar, Syarif Hidayat N, Siti Kiftiah, Nur Hasanah Safei, St. Hartina

“… Introduction: effective writing skills particularly on expository texts, including within the study of physical education, are essential for success in various aspects of life. …”
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Improving Students’ Narrative Text Writing Ability Through The Picture and Picture Learning Model by Azmy Ali Muchtar, Aceng Rahmat, Herlina Herlina

“…The results showed that the implementation of the Picture and Picture Learning Model (PPLM) influenced the ability to write narrative texts. The average score of writing narrative text skills at the observation stage was 64.9, and in the first cycle, it reached 70.1, while in the second cycle it reached 75.2. …”
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Peringkasan Artikel Berbahasa Indonesia Menggunakan TextRank dengan Pembobotan BM25 by Yurdha Fadhila Hernawan, Putra Pandu Adikara, Randy Cahya Wihandika

“…One way to get a summarize of the document is to find a collection of important sentences in the document that can represent the original document as a whole. That automatic text summarization method is also called extractive summarize. …”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

“…While global trait datasets have advanced the field, substantial gaps remain, and extracting trait information from text in books, research articles, and online sources via machine learning offers a valuable complement to costly field campaigns. …”
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High-Average-Power Polarization Maintaining All-Fiber-Integrated Nonlinear Chirped Pulse Amplification System Delivering Sub-400 fs Pulses by Hailong Yu, Pengfei Zhang, Xiaolin Wang, Pu Zhou, Jinbao Chen

“…We experimentally demonstrate a monolithic single polarization nonlinear chirped pulse amplification (CPA) system producing high-average-power femtosecond pulses operating at 1.06 <inline-formula> <tex-math notation="LaTeX">$\mu\text{m}$</tex-math></inline-formula>. …”
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TapFix: Cursorless Typographical Error Correction for Touch-Sensor Displays by Nicholas Dehnen, I. Scott MacKenzie, Aijun An

“…We present TapFix, a cursorless mobile text correction method for touch-sensor displays. …”
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Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism. by Yutong Liu, Shile Zhang

“…The average edit distance decreases from 3.2 to 2.5, the BLEU score increases from 0.65 to 0.72, and the average processing time is reduced from 2.3 seconds to 1.8 seconds. …”
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Associations between text communication engagement and maternal-neonatal outcomes in the Mobile WACh NEO Trial. by James Peng, Erica Wetzler, Brenda Wandika, Peninah Kithao, June Moraa, Jenna I Udren, Olivia Schultes, Esther Akinyi, Lusi Osborn, Anna Hedstrom, Barbra A Richardson, Manasi Kumar, Dalton Wamalwa, John Kinuthia, Keshet Ronen, Jennifer A Unger

“…Participants received a median of 58 automated messages (average 0.58 per day), sent a median of 24 messages (average 0.25 per day), and received a median of 14 nurse responses (average 0.14 per day). …”
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One page of text: Eye movements during regular and thorough reading, skimming, and spell checking. by Alexander Strukelj, Diederick C Niehorster

“…Eye movements during regular reading, thorough reading, skimming, and spell checking of single pages of text were measured, to investigate how high-level reading tasks elicited by instructions affect reading behavior. …”
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Text Removal for Trademark Images Based on Self-Prompting Mechanisms and Multi-Scale Texture Aggregation by Wenchao Zhou, Xiuhui Wang, Boxiu Zhou, Longwen Li

“…Furthermore, the text detection network component of the designed model attains an accuracy of up to 89.9% on the CTW1500 dataset, representing an average enhancement of 10 percentage points over other text detection networks.…”
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A method of micro-blog topic discovery based on feature words selection and text similarity by Hongyang CHEN, Linlin WANG, Yingsheng CHEN, Jiangkun LU, Xue ZUO

“…Some words existing in micro-blog short text have a bad effect on the accuracy of text similarity calculation,further affecting the quality of topic discovery.And these words are the same in shape or semantic meaning,but remote from the topic.A novel method of feature words selection based on micro-blog short text content and structured information was proposed,which could effectively choose some important feature words from the text.Moreover,in computing the similarity between texts,an improvement on computing the similarity between the text and the topic was made.Finally,the methods were combined together and applied to discover micro-blog topics.Experimental results show that the new method of topic discovery can effectively reduce the average missing rate and false detection rate,and improve the quality of topic discovery.…”
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A method of micro-blog topic discovery based on feature words selection and text similarity by Hongyang CHEN, Linlin WANG, Yingsheng CHEN, Jiangkun LU, Xue ZUO

“…Some words existing in micro-blog short text have a bad effect on the accuracy of text similarity calculation,further affecting the quality of topic discovery.And these words are the same in shape or semantic meaning,but remote from the topic.A novel method of feature words selection based on micro-blog short text content and structured information was proposed,which could effectively choose some important feature words from the text.Moreover,in computing the similarity between texts,an improvement on computing the similarity between the text and the topic was made.Finally,the methods were combined together and applied to discover micro-blog topics.Experimental results show that the new method of topic discovery can effectively reduce the average missing rate and false detection rate,and improve the quality of topic discovery.…”
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The influence of frequency and temperature on the AC-conductivity in $$\text {TlInTe}_2$$ semiconductor single crystal by Mohamed M. Fangary, Muhammad A. O. Ahmed

“…Abstract A special design, based on the Bridgman technique, was used in our laboratory for preparing single crystals of $$\text {TlInTe}_2$$ . The structure of $$\text {TlInTe}_2$$ in powder form was examined using X-ray diffraction. …”
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The Application of Project Based Learning to Improve Students’ Ability in Analyzing Narrative Texts of English for SMA by Laili Rosyad

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An Investigation of Vocabulary in Written Texts of Iraqi Arab Students Learning Turkish as a Foreign Language by İbrahim Doğukan Demirel, Huzeyfe Bilge

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Gendered dimension of chronic pain patients with low and middle income: A text mining analysis. by Ana M Peiró, Patricia Carracedo, Laura Agulló, Sónia F Bernardes

“…<h4>Methods</h4>This is a mixed-method study using individual interviews (duration between 40-60 minutes) of 181 CNCP patients (71% females) in a tertiary Pain Care Unit, and applying the text mining methodology. Incomes (low or middle) and gender roles (productive vs. reproductive)".…”
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A geometric neural solving method based on a diagram text information fusion analysis by Bin Ma, Pengpeng Jian, Cong Pan, Yanli Wang, Wei Ma

“…It is necessary to combine geometry diagrams and text descriptions to form a logical representation. …”
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Inclusion of Unicode Standard seamless characters to expand Arabic text steganography for secure individual uses by Norah Alanazi, Esam Khan, Adnan Gutub

“…Due to the limited number of research studies that have achieved these ends through text steganography, we present an innovative approach for hiding secret bits in Arabic text with Unicode Standard seamless. …”
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The principle of preserving the syllabic structure in the syromelkite translations of hymnographic texts (on the material of the idiomela of the Lenten Triodion) by Aleksandr Lukashevich

“…The article describes the application of the equimetric principle in translating hymnographic texts from Greek into classical Syriac. The meaning of the term “equimetric translation” is specified, and terminological analogies are provided. …”
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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The results of testing children with lisping and rhotacismus problems showed that the Jaro algorithm has a slightly higher accuracy of comparing two texts (by an average of 1.14%), and, at the same time, a shorter comparison time for large text arrays (by 39%). …”
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