An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…The diverse types of fake text generation practices by spammer make spam detection challenging. …”
Get full text

LMGDoc: Light Multigranular GNN for Efficient Document Understanding by Abdellatif Sassioui, Yasser Elouargui, Mohamed El Kamili, Rachid Benouini, El Mehdi Benyoussef, Meriyem Chergui, Mohammed Ouzzif

“…Visually Rich Documents (VRDs) present unique challenges due to their complex layouts, heterogeneous content (text, tables, images), and diverse structural patterns. …”
Get full text

Multiple estimates of transmissibility for the 2009 influenza pandemic based on influenza-like-illness data from small US military populations. by Pete Riley, Michal Ben-Nun, Richard Armenta, Jon A Linker, Angela A Eick, Jose L Sanchez, Dylan George, David P Bacon, Steven Riley

“…We used publicly available data from non-military sources to show that patterns of ILI incidence in many of these MPZs closely followed the pattern of their enclosing civilian population. …”
Get full text

Understanding Media Consumption, Preferences, and Satisfaction of South and Southeast Asian Religious Online Media Consumers: The Case of Radio Veritas Asia’s Website by Kasmir Nema, Andrea May C. Malonzo

“…Through online surveys, the study found that media consumption patterns, preferences, and satisfaction levels vary moderately across the Philippines, Southeast Asia, and South Asia. …”
Get full text

How prevalent is the cross-disciplinary career transition? Evidence from a multi-dimensional comparative analysis by Tongyang Zhang, Chao Yu, Dong Zhang, Jian Xu

“…This study applies text mining techniques, presenting data to demonstrate and compare how career transition exists widely across various disciplines. …”
Get full text

Greater Detail Is Needed When Reporting Schenck Knee Dislocation V Injuries in the Orthopaedic Literature: A Systematic Review by Aaron J. Marcel, M.S., Sarah Levitt, B.S., Joshua S. Green, M.D., Jay Moran, M.D., Peter Jokl, M.D., Robert C. Schenck, M.D., Daniel C. Wascher, M.D., Michael J. Alaia, M.D., Michael J. Medvecky, M.D.

“…Studies were included if full-text articles in English were available, the Schenck KD classification system was used, and Schenck KD class V was mentioned. …”
Get full text

Mixture of prompts learning for vision-language models by Yu Du, Yu Du, Yu Du, Yu Du, Yu Du, Tong Niu, Tong Niu, Tong Niu, Tong Niu, Tong Niu, Rong Zhao, Rong Zhao, Rong Zhao, Rong Zhao, Rong Zhao

“…We also implement semantically grouped text-level supervision, initializing each soft prompt with the token embeddings of manually designed templates from its group and applying a contrastive loss between the resulted text feature and hard prompt encoded text feature. …”
Get full text

“I wish I hadn’t seen the Krylov Monument…”: On an entry in Taras Shevchenko’s diary from 1858 by E. E. Liamina, N. V. Samover

“…Taras Shevchenko’s diary of 1857–1858, a well-known and even iconic text, remains poorly commented and conceptualized to an even lesser degree. …”
Get full text

A dual-plane fluoroscope to track joint kinematics during dynamic daily activities. by Albert Planta, Raphael Surbeck, William R Taylor, Stefan Plüss, Florian Vogl, Pascal Schütz

“…For all gait speeds (average and standard deviation: [Formula: see text] during level walking), tracking performance for each activity was excellent and the knee centre stayed within both simulated image intensifiers' FOVs for [Formula: see text] of frames (no X-ray images were captured in this study). …”
Get full text

An Author Gender Detection Method Using Whale Optimization Algorithm and Artificial Neural Network by Fatemeh Safara, Amin Salih Mohammed, Moayad Yousif Potrus, Saqib Ali, Quan Thanh Tho, Alireza Souri, Fereshteh Janenia, Mehdi Hosseinzadeh

“…Machine learning and meta-heuristic algorithms are valuable techniques to extract hidden patterns useful for detecting gender of a text. In this paper, an artificial neural network (ANN) is employed as a classifier to detect the gender of an email author and the whale optimization algorithm (WOA) is used to find optimal weights and biases for improving the accuracy of the ANN classification. …”
Get full text

Investigating of of pentagonal geometry in the architecture of traditional mosques (Seljuk to Safavid) in Tabriz by Nazila Edrisi khosroshahi, Jafar Ghiasi

“…<p class="MsoNormal" style="text-align: justify; text-indent: 14.2pt; line-height: normal; margin: 0in -28.35pt 10.0pt -28.35pt;"><span style="mso-bidi-font-family: 'B Mitra'; mso-bidi-language: FA;">The application of geometric patterns in Iranian art and architecture has a long history. …”
Get full text

The Tradition of Celebrating the Birthday of Prophet Muhammad Reception of Wetu Telu Adherents in Bayan Village, North Lombok Regency, Regarding Mah}abbah in Surah Ali Imran, Verse... by Muhammad Ardi Kusumawardana, Baiq Ayu Darma Ning Tyas

“…Meanwhile, the decoding or reception pattern of mah}abbah varies: a small portion of adherents accept the meaning of the Qur'anic text in its entirety, known as hegemonic dominance, while the majority contextualise the text, a process referred to as negotiation…”
Get full text

Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas by Hayfa A. Aleid, Aqil M. Azmi

“…Results show exceptional performance in classification tasks (AraBERTv0.2 achieved a precision score of 99.19% for DQD and 99.26% for DAD) and strong extractive answering capability with an $$F\text {-score}$$ F -score of 72.78%. While generative performance reached $$\text {BERT-}F$$ BERT- F score of 71.4% (AraBART), MRC variability highlights challenges in religious reasoning. …”
Get full text

'Mapping' Knowledge Dissemination by Nynke Bos, Lisa Vandeberg, Anke Oerlemans, Marlies Hulscher, W. Gudrun Reijnierse

“…We identified signalled metaphors in text fragments about immunotherapy, determined their source domains, and categorized which aspects of immunotherapy they described. …”
Get full text

BGNER: A boundary guidance framework for enhanced named entity recognition by Yu He, Li Sun, Qianyu Yue, Haitao Wu, Xiaojuan Wang

“…Abstract Named Entity Recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying text segments corresponding to real-world entities. …”
Get full text

Generative AI in Marketing: Foundations, Trends, and Future Research Propositions by Akshara Prasanna, Bijay Prasad Kushwaha

“…Moreover, it expounds the research foundations and emerging patterns associated with GenAI in marketing and formulates prospective research propositions. …”
Get full text

Predicting the Event Types in the Human Brain: A Modeling Study Based on Embedding Vectors and Large-Scale Situation Type Datasets in Mandarin Chinese by Xiaorui Ma, Hongchao Liu

“…Meanwhile, event types exhibit strong predictive capabilities for exploring collocational patterns between words, making them crucial for Chinese teaching. …”
Get full text

An intelligent framework for sarcasm detection in Arabic tweets using deep learning with Al-Biruni earth radius optimization algorithm by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Wafa Sulaiman Almukadi, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…One of the popular linguistic patterns to express or criticize one’s ideas with ridicule is sarcasm, where they have unintended and intended meanings in written text. …”
Get full text

Morphology in children’s books, and what it means for learning by Maria Korochkina, Kathleen Rastle

“…This theory further accounts for the challenge posed by spelling patterns that may lead to incorrect morphological parsing. …”
Get full text

The Focaliser Focalised in King Vidor's The Crowd (1928) by Celestino Deleyto

“…This is related to the use of narrative time by the text 2 and the complex network of tensions, parallelisms and contrasts established at several narrative levels. …”
Get full text