Changes in the legal regulation of criminal proceedings under martial law by O. V. Salmanov

“…Nevertheless, the court has no right to disregard such evidence, which may lead to possible abuse by the investigator and prosecutor, which may result in human rights violations and unfair sentences. The heads of the prosecutor's office and pre-trial investigation bodies are entitled to seize the property of suspects or accused persons without a trial. …”
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Source Characteristics Influence AI-Enabled Orthopaedic Text Simplification by Saman Andalib, BS, Sean S. Solomon, BS, Bryce G. Picton, BS, Aidin C. Spina, BS, John A. Scolaro, MD, Ariana M. Nelson, MD

“…GPT-3.5, Claude 2, and Llama 2 significantly shortened sentences and overall text length (p < 0.01). Importantly, correlation analysis revealed that transformation success varied substantially with the model used, depending on original text factors such as word length and sentence complexity. …”
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Effective Connectivity Study Guiding the Neuromodulation Intervention in Figurative Language Comprehension Using Optical Neuroimaging by Tania Alexandra Couto, Shiyang Xu, Paulo Armada da Silva, Chenggang Wu, Karl Neergaard, Meng-Yun Wang, Juan Zhang, Yutao Xiang, Zhen Yuan

“…Moreover, the interhemispheric directional flow suggests a right hemisphere engagement in decoding unfamiliar literal sentences and fine-grained integration guided by the left hemisphere to reduce ambiguity in meaningless words. …”
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On the Uniform Projection Problem in Descriptive Set Theory by Vladimir Kanovei, Vassily Lyubetsky

“…For every <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="double-struck">n</mi><mo>≥</mo><mn>1</mn></mrow></semantics></math></inline-formula>, generic models of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="bold">ZFC</mi></semantics></math></inline-formula> will be presented for either of the following two sentences: 1. There exists a linear <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msubsup><mi>Σ</mi><mrow><mi mathvariant="double-struck">n</mi><mo>+</mo><mn>2</mn></mrow><mn>1</mn></msubsup></semantics></math></inline-formula> set not equal to the projection of any uniform planar <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msubsup><mrow><mi mathvariant="bold">Π</mi></mrow><mrow><mi mathvariant="double-struck">n</mi><mo>+</mo><mn>2</mn></mrow><mn>1</mn></msubsup></semantics></math></inline-formula> set. 2. …”
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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

“…Prior investigations often overlook this critical aspect, primarily relying on traditional image captioning frameworks initially designed for general-domain images and sentences. Despite achieving some advancements, these methodologies encounter two primary challenges. …”
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Antenatal care visits and its determinants among women in Afar regional state: North Eastern Ethiopia by Aragaw Asfaw Hasen

“…Living rural (IRR = 0.575, 95%CI: 0.467, 0.708). Reading whole sentences (IRR = 1.683, 95%CI: 1.212, 2.339). Under five children in house 1–2 (IRR = 0.789, 95%CI: 0.632, 0.984), 3–4 (IRR = 0.692, 95%CI: 0.509, 0.941), > = 5 (IRR = 0.075, 95%CI: 0.021, 0.268). …”
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Arsitektur Sistem Percakapan Otomatis Berbahasa Indonesia dengan Normalisasi Bahasa Informal Menjadi Baku by Muhammad Fathur Rahman Khairul, Rizal Setya Perdana

“…NLP generally only works with formal language and is unable to interpret the meaning of informal sentences. Therefore, the authors propose an approach to enable machines to understand informal language by normalizing the informal language to standard by utilizing NLP. …”
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Clinical Holistic Medicine: Holistic Pelvic Examination and Holistic Treatment of Infertility by Søren Ventegodt, Mohammed Morad, Joav Merrick

“…The patient cannot be healed until negative decisions are found and dropped with a tour back to the present, to let go of negative sentences and ideas, and a plan for further positive progress.…”
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Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…In addition to emotional features that exist in each modality, the text modality consists of semantic and grammatical tendencies in the uttered sentences. Spatial and temporal features have been extracted sequentially in deep learning-based models using convolutional neural networks (CNN) followed by recurrent neural networks (RNN) which may not only be weak at the detection of the separate spatial-temporal feature representations but also the semantic tendencies in speech. …”
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Syntax and semantic analysis in mathematical problem posing viewed from field dependent and field independent cognitive styles by Amirul Mukminin, Andang

“…Each research subject was given information in the form of verbal sentences and graphics, which then served as a reference in problem posing. …”
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Contradictions of students’ motivation for participation in the activities of voluntary organisations by A. V. Starshinova

“…The quantitative research strategy included such tools as drawing up a portrait of a volunteer based on projective questions, using the method of unfinished sentences, the method of direct ranking of motives. …”
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Development of Speech and Communication in Polish Children with 22q11.2 Deletion Syndrome: A Cross-Sectional Study by Natalia Moćko, Marcin Rudzki, Zuzanna Miodońska, Julia Olesiak, Katarzyna Jochymczyk-Woźniak, Michał Kręcichwost

“…The questionnaire covered the following speech and communication development stages: babbling, using first words, first sentences, verbal and non-verbal communication, speech disfluencies, hearing loss, speech intelligibility, difficulties in interpersonal contact, and participation in speech therapy. …”
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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study by William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, Sai Harsha Chittimouju

“…We split user comments into sentences and applied different classification strategies to assess the performance of these models in identifying DDEs and their root causes. …”
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Pengukuran Kemiripan Makna Menggunakan Cosine Similarity dan Basis Data Sinonim Kata by Ardi Sanjaya, Ahmad Bagus Setiawan, Umi Mahdiyah, Intan Nur Farida, Aprisa Risky Prasetyo

“…In testing the similarity of meaning, each sentence will be broken down into words and each word will be matched based on the word table with synonym ID references. …”
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Prospective evaluation through questionnaires of the emotional status of cancer patients in the waiting rooms of a department of oncology by Roberta Resega, Sheila Piva, Annalisa Bramati, Christian Lurati, Nicla La Verde, Marco Riva, Marina Chiara Garassino, Anna Moretti, Claudio Mencacci, Valter Torri, Gabriella Farina, Maria Chiara Dazzani

“…Patients had to choose sentences that best described their feelings, thoughts and experiences; this part was differentiated according to the waiting rooms (Consultation Rooms versus Day Hospital). …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…Initially, input documents undergo pre-processing steps, including sentence segmentation, word tokenization, stop word removal, and lemmatization, to enhance text quality. …”
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Online illegal wildlife trade in Indonesia: strengthening the regulatory framework and law enforcement by Krismanko Padang, Nuruliawati, Zahrah Afifah, Muhammad Irfan Andriansyah, Andina Auria Dwi Putri, Nur Hafizoh, Irma Hermawati, Ade Indah Muktamarianti, Syaras Yulianti, Niken Wuri Handayani, Sofi Mardiah

“…We found that those prosecuted for online illegal wildlife trade were given low sentences. Our analysis of wildlife legislation, focus group discussions and expert interviews showed that the Government of Indonesia Trade Law (2014) and Law on Electronic Information and Transactions (2008) cannot be used to prosecute online illegal wildlife trade cases because these laws do not acknowledge regulations for protected species. …”
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A Rule-Based Parser in Comparison with Statistical Neuronal Approaches in Terms of Grammar Competence by Simon M. Strübbe, Alexander T. D. Grünwald, Irina Sidorenko, Renée Lampe

“…This tool uses a rule-based system, conducting a full grammatical analysis of each sentence and then simplifying it into a grammatically correct form. …”
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The Investigation of Grammatical Category and Syntactic Position of “t͡ʃəmɑn”, a Modality Marker in Kalhori Kurdish by Tahereh Jafari, Shoja Tafakkori Rezayi

“…As previously mentioned, Cinque proposes that sentence structure comprises thirty different functional projections, with their specifiers serving as the positions of various kinds of adverbs. …”
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Pengaruh Word Affect Intensities Terhadap Deteksi Ulasan Palsu by Raga Saputra Heri Istanto, Fitra Abdurrachman Bachtiar, Achmad Ridok

“…Meanwhile, a more recent study shows that there is an emotion-based vocabulary lexicon called word affect intensities which are proven to be able to better measure sentiment in sentences. This study intends to determine whether word affect intensities can be a factor that affects the results of fake review detection. …”
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