Opportunities to use the EU countries experience in the field of preventive police activities in Ukraine by O. Yu. Prokopenko, D. O. Bulatin, R. O. Kushnirenko

“…In particular, the introduction of rehabilitation programmes for persons who have already served their sentences will be useful for the domestic preventive system, given the fact that most programmes are comprehensive, they provide educational, monitoring and corrective measures to influence socially unacceptable, including criminal, behavior.…”
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Beyond the spotlight: Unveiling the gender bias curtain in movie reviews. by Jad Doughman, Wael Khreich

“…Therefore, we analyzed 17,165 professionally written reviews, comprising a total of 735,000 sentences. Our analysis uncovers pronounced representation bias in key movie roles, with 72% of first actors, 91% of first directors, and 86% of first writers being male. …”
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Polysemy of the Temporal Adverb JAM in Latin by Nataliia Panchyshyn

“…The purpose of this article is to find out the polysemy of the adverb JAM as one of the most frequently used words in the temporal vocabulary on the basis of the work “Satyricon” by Gaius Petronius Arbiter, to identify its lexical meaning depending on the tense used in the sentences, and to study its combination with other words. …”
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KATEGORINIŲ SAKINIŲ SEMANTIKA PORT ROYALIO LOGIKOJE by Laisvūnas Šopauskas

“…Also dependence of the meaning of sentence on the context is understood differently here. …”
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Differences in Determining Ramadan and Shawwal: A Discourse Analysis of the Book Nusus al-Akhyar fi al-Shaum Wa al-Ifthar by Ika Wahyu Ningsih, Fitri Febriyanti, Iqbal Ainur Rizki

“…Primary data are in the form of lexemes, words, phrases, and sentences in Arabic that contain ideas about the determination of the beginning of the month of Ramadan and Shawwal in the book. …”
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Motivational Factors and Cannabis Use Intention among Juvenile Offenders: Direct, Mediating, and Moderating Effects by Isabel M. Herrera-Sánchez, Silvia Medina-Anzano, Samuel Rueda-Méndez

“…Background/Aim: Ensuring that juvenile offenders (JOs) who stop consume cannabis during their detention remain abstinence after their sentence has been served is a fundamental preventive measure. …”
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Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map by Xiaojun Chen

“…For the task of Chinese grammar error correction, this article uses two methods of predicting the relationship between words in the corpus, Word2Vec and GloVe, to train the word vectors of different dimensions and use the word vectors to represent the text features of the experimental samples, avoiding sentences brought by word segmentation. On the basis of word vectors, the advantages and disadvantages of CNN, LSTM, and SVM models in this shared task are analyzed through experimental data. …”
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Fengsel eller frihet: Noe om reaksjonsvalg i norsk strafferett by Morten Holmboe

“…When a fine is imposed, a sentence of imprisonment is executed if the fine is not paid on time. …”
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DeepSeek vs. ChatGPT: Comparative Efficacy in Reasoning for Adults’ Second Language Acquisition Analysis by Mohammad Mahyoob Albuhairy, Jeehaan Algaraady

“…Methods include error analysis of non-native Arabic sentences, comparative evaluation of the two models, and contrasting assessment of depth of reasoning. …”
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Anti-aging versus positive-aging language in scientific literature: Raising questions for future research by Akbar Azizi-Zeinalhajloo, Haidar Nadrian, Nafiseh Ghassab-Abdollahi, Elham Lotfalinejad, Hassan Rezaeipandari, Devender Bhalla

“…Anti-aging language refers to the use of words, phrases and sentences when talking with or about older adults. …”
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Predicting correlation relationships of entities between attack patterns and techniques based on word embedding and graph convolutional network by Weicheng QIU, Xiuzhen CHEN, Yinghua MA, Jin MA, Zhihong ZHOU

“…Threat analysis relies on knowledge bases that contain a large number of security entities.The scope and impact of security threats and risks are evaluated by modeling threat sources, attack capabilities, attack motivations, and threat paths, taking into consideration the vulnerability of assets in the system and the security measures implemented.However, the lack of entity relations between these knowledge bases hinders the security event tracking and attack path generation.To complement entity relations between CAPEC and ATT＆amp;CK techniques and enrich threat paths, an entity correlation prediction method called WGS was proposed, in which entity descriptions were analyzed based on word embedding and a graph convolution network.A Word2Vec model was trained in the proposed method for security domain to extract domain-specific semantic features and a GCN model to capture the co-occurrence between words and sentences in entity descriptions.The relationship between entities was predicted by a Siamese network that combines these two features.The inclusion of external semantic information helped address the few-shot learning problem caused by limited entity relations in the existing knowledge base.Additionally, dynamic negative sampling and regularization was applied in model training.Experiments conducted on CAPEC and ATT＆amp;CK database provided by MITRE demonstrate that WGS effectively separates related entity pairs from irrelevant ones in the sample space and accurately predicts new entity relations.The proposed method achieves higher prediction accuracy in few-shot learning and requires shorter training time and less computing resources compared to the Bert-based text similarity prediction models.It proves that word embedding and graph convolutional network based entity relation prediction method can extract new entity correlation relationships between attack patterns and techniques.This helps to abstract attack techniques and tactics from low-level vulnerabilities and weaknesses in security threat analysis.…”
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Computing nasalance with MFCCs and Convolutional Neural Networks. by Andrés Lozano, Enrique Nava, María Dolores García Méndez, Ignacio Moreno-Torres

“…The test data were recorded in Spain and included short words (-dynamic), sentences (+dynamic), and diadochokinetic syllables (+dynamic). …”
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Challenges faced by High School Learners in English First Additional Language Reading Comprehension in the Soshanguve Township, South Africa by Getrude Leboho, Florence Olifant, Madoda Cekiso

“…The findings revealed that a significant proportion of learners struggled with various aspects of reading comprehension, including understanding complex sentences, identifying main ideas, dealing with unfamiliar vocabulary, and comprehending cultural references. …”
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Examining HPO by organ and system to facilitate practical use by clinicians by Eisuke Dohi, Terue Takatsuki, Yuka Tateisi, Toyofumi Fujiwara, Yasunori Yamamoto

“…We employed LLM for these two tasks related to examining HPO and, at the same time, found that LLM didn't work well without ingenuity for tasks that lacked sentences and context. A manual search for terms within each category revealed that the HPO contains a mix of terms with four major attributes: (1) Disease Name, (2) Condition, (3) Test Data, and (4) Symptoms and Findings. …”
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Capital Punishment without Capital Trials in Japan’s Lay Judge System by David T. Johnson

“…By the end of 2010, lay judge panels had made five capital decisions, resulting in one life sentence, three death sentences, and one acquittal.This article examines a series of recent death penalty judgments under Japan's new lay judge system.…”
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English motivational discourse in the light of postmodernist tradition by Gilyasev Yu.V.

“…This language manipulation in the work took the shape of the author’s coinage, contact and rhythmical collocation of some sentences and their parts. Style syncretism is observed through co-occurrence of publicist, fictional as well as popular science style of presentment in the text. …”
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An Analysis of the Coherence of Emotional Discourse of Parting (Hijrān) in Amir Moezi’s “Thou Cameleer! Take not Shelter...” by Aslan Ostovari

“…One of the most important achievements of Semio-semantics is to acknowledge that literary speech is no longer considered as bound to words and sentences and that most of the literary processes go beyond the boundary of sentence into a larger totality called discourse. …”
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Stylistic analysis of prose of Qajar period newspapers by Hasan Zolfaghari, Effat Hasani Kochaki

“…One of the characteristics of the syntactic layer is that it shortens most sentences as well as uses a basic style. In addition, a high percentage of the way to remove verbs is related to symmetry. …”
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Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…In this paper, we used the electromagnetic articulography (EMA) database designed by Taiyuan University of Technology, which contains ten speakers’ 299 disyllables and sentences of Mandarin, and extracted 8-dimensional articulatory features and 1-dimensional semantic feature relying on the word-attention layer; we then trained 200 samples and tested 99 samples for the articulatory-to-acoustic conversion. …”
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A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation by Longyue Wang, Derek F. Wong, Lidia S. Chao, Yi Lu, Junwen Xing

“…Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data. …”
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