Reformist Attempts of Tammam Hassan in the Book Named “Meaning and Basis of Arabic Words” Reviewing the Correlation of Symbols’ Theory by Issa Motaqizadeh

“…One of these scientists is Tammam Hassan who has presented his reformist opinion in his popular book named “Meaning and Basis of Arabic Words”. In the fifth chapter of this book, Tammam Hassan has explained about vocabulary and spiritual symbols and role in understanding the meaning. …”
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WORD FORMATION AS A MODERNIZATION TOOL OF MODERN STANDARD ARABIC (FROM THE POINT OF VIEW OF ARABIC AND WESTERN LINGUISTS) by Y. S. Ayvazyan

Subjects: “…semantics of word-formation…”
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Creating Educational Trifold Brochures from Microsoft Word® Templates: An Example from the Florida Master Naturalist Program by Martin B. Main, Ginger M. Allen

“…Allen, provides tips and guidelines for developing a trifold brochure and includes a Microsoft Word template that can be copied and easily modified to present the reader a message. …”
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Creating Educational Trifold Brochures from Microsoft Word® Templates: An Example from the Florida Master Naturalist Program by Martin B. Main, Ginger M. Allen

“…Allen, provides tips and guidelines for developing a trifold brochure and includes a Microsoft Word template that can be copied and easily modified to present the reader a message. …”
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THE INFLUENCE OF FOOD IMAGE ON TOURIST SATISFACTION AND WORD-OF-MOUTH INTENTION: THE CASE OF DALAT, LAM DONG PROVINCE, VIETNAM by Thi Thanh Ngan Nguyen

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CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability by Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu

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Coregistration of eye movements and EEG reveals frequency effects of words and their constituent characters in natural silent Chinese reading by Taishen Zeng, Longxia Lou, Zhi-Fang Liu, Chaoyang Chen, Zhijun Zhang

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“We’ve had socialism in this country for so long”: An interview with Yael Bridge, director of The Big Scary “S” Word by Alice Béja, Yael Bridge

“…The documentary The Big Scary “S” Word, which premiered in the United States in September 2021, retraces the history of socialism in the United States and its contemporary manifestations. …”
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Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

“…Word2Vec model for Indonesian is used as a word vector representation. …”
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Understanding participation intention and word-of-mouth intention in voter contact: A framework based on the theory of planned behaviour by Nguyễn Thanh Nhàn

“…This study aims to identify the determinants of citizens’ intention to participate and engage in word-of-mouth communication in voter contact activities based on the theory of planned behavior. …”
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Awareness of glottal settings for the production of /h/-initial and vowel-initial words in French learners of L2 English by Christelle Exare

“…The goal was to make them aware of compulsory initial aspiration (e.g. the hat), word-boundary continuous voicing (e.g. the japple, two wapples), and word-initial glottalisation (e.g. the ʔapple). …”
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The City in Words across Time: A Corpus-Based Literary Approach Using Istanbul as a Case Study by Asmaa Ramil

“…Using Istanbul as a case study, it examines the portrayal of the city in three literary works spanning more than a century: Pierre Loti’s Aziyadé (1879), Ahmet Hamdi Tanpınar’s The Time Regulation Institute (1961) and Orhan Pamuk’s Istanbul: Memories and the City (2003). …”
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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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The Role of Morphological Information in Processing Pseudo-words in Italian L2 Learners: It’s a Matter of Experience by Simona Amenta, Francesca Foppolo, Linda Badan

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Targeted s-gram matching: a novel n-gram matching technique for cross- and monolingual word form variants by Ari Pirkola, Heikki Keskustalo, Erkka Leppänen, Antti-Pekka Känsälä, Kalervo Järvelin

“…The technique was compared with the conventional n-gram technique using adjacent characters as n-grams. Several types of words and word pairs were studied. English, German, and Swedish query keys were matched against their Finnish spelling variants and Finnish morphological variants using a target word list of 119 000 Finnish words. …”
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Charles Dickens, Uncollected Writings from Household Words. vols 1 et 2, ed. Michael Hollington by Nathalie Vanfasse

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Relationship Model Analysis of Personal Factors, Celebrity Endorsement, Buying Behavior, and Word of Mouth on Tourists on Komodo Island by Ramdhan Kurniawan, Usep Suhud, Fauzy Rahman Kosasih, Zulmi Ramdani

“…The purpose of this study was to analyze factors affecting word of mouth. A causality quantitative research design was used to answer this question by involving a sample of 120 tourists on Komodo Island who were selected using a purposive sampling technique. …”
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Lexical-Semantic Variables Affecting Picture and Word Naming in Chinese: A Mixed Logit Model Study in Aphasia by Davide Crepaldi, Wei-Chun Che, I.-Fan Su, Claudio Luzzatti

“…Lexical-semantic variables (such as word frequency, imageability and age of acquisition) have been studied extensively in neuropsychology to address the structure of the word production system. …”
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Syntactic development and its interplay with word processing and working memory in preschoolers’ brain: An fNIRS longitudinal study by Dongsu Yan, Tongfu Fang, Wei He, Min Xu

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“He’d seen it in the words of Owen and Brooke”: The Influence of Great War Poetry on Post-Millennium Soldier Poets by Felix Behler

“…While these poems are framed within the shifting military, socio-demographical, and political dimensions of war in our time, they simultaneously exhibit strong roots within the context of a specific literary tradition that originated in the First World War. This article sets out to analyse a selection of poems from Heroes, focusing on the way these poets construct a network of intertextual citations, borrowings, and allusions to connect their texts – quite deliberately – with the much acclaimed generation of poets form the Great War. …”
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