Strategies for Forming the Image of Islam/Muslims in the Media Discourse by Tatyana S. Pronina, Varvara A. Slivkina

“…The research employs the analytical reading of text data, following the grounded theory method. The focus is made on themes such as the European migration crisis and the rise of Islamic migration to Europe and Russia, debates over wearing the hijab in Russian schools, and coverage of Muslim religious holidays and ethnic festivals like Sabantuy. …”
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A Cognitive Semantic Study of Oxymoron in Nali’s Collection of Poems by Nabaz Ismael Hamad

“… This paper investigates oxymoron within cognitive semantic theory and attempts to find out how the meaning is conceptually constructed in oxymoron through combining two opposite lexical items, and what mental process activates this meaning construction. The study data is collected from Nali’s Collection of Poems who is one of the greatest Kurdish classic poets in terms of his language craftsmanship. …”
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Detection of Electrical Fires in Residential Buildings Using a Gradient Boosting Machine Algorithm by Sharaban Taha Ahmed, Fadhil Aula

“…The features of the algorithm process data related to current, voltage, and total harmonic distortion (THD) from electrical systems, considering resistive loads, such as heating appliances, and inductive loads, like refrigerators and washing machines. …”
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IRG and GBP host resistance factors target aberrant, "non-self" vacuoles characterized by the missing of "self" IRGM proteins. by Arun K Haldar, Hector A Saka, Anthony S Piro, Joe Dan Dunn, Stanley C Henry, Gregory A Taylor, Eva M Frickel, Raphael H Valdivia, Jörn Coers

“…Whereas IRGM-positive LDs are guarded against the stable association with other IRGs and GBPs, we demonstrate that IRGM-stripped LDs become high affinity binding substrates for IRG and GBP proteins. These data reveal that intracellular immune recognition of organelle-like structures by IRG and GBP proteins is partly dictated by the missing of "self" IRGM proteins from these structures.…”
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Mechanical Strength and Microstructure Properties of Concrete Incorporating Copper Slag as Fine Aggregate: A State-of-the-Art Review by Tareg Abdalla Abdalla, Turki S. Alahmari

“…This review systematically analyzes its use in concrete production over the last two decades. For the review, data were collected from various publishers, which are peer-reviewed articles, and validated using databases like Scopus, Scimago journal and country rank (SJR), Web of Science, etc. …”
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Artificial intelligence and machine learning in production efficiency enhancement and sustainable development: a comprehensive bibliometric review by Aristidis Bitzenis, Nikos Koutsoupias, Marios Nosios

“…Furthermore, the analysis reveals geographical contributions, with countries like China, the United States, and the United Kingdom leading in research output and impact. …”
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APPLICATION OF SOFT SETS TO ASSESSMENT OF MATHEMATICAL MODELLING SKILLS by Майкл Воскоглоу

“…The theory of soft sets has found many and important applications to several sectors of the human activity like decision making, parameter reduction, data clustering and data dealing with incompleteness, etc. …”
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Extrapolating training of neural networks by Ya. A. Bury, D. I. Samal

“…Like a person in the process of studying what is able to perceive more and more complex concepts and learn new knowledge faster depending on already acquired information, as well as when learning new data – to keep in memory those that were obtained earlier, the approach allows us to use the result of input signal generalization from already trained system in the aim to perceive of new knowledge in a shorter time. …”
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Patient and nodule characteristics associated with adherence to lung cancer screening in a large integrated healthcare system by Shuang Yang, Muxuan Liang, Hiren J. Mehta, Ramzi G. Salloum, Dejana Braithwaite, Yonghui Wu, Jessica Islam, Xuhong Zhang, Ya-Chen Tina Shih, Jinhai Huo, Jiang Bian, Yi Guo

“…Using 2014–2021 electronic health record data from a large integrated health system, we analyzed adherence to Lung Imaging Reporting and Data System (Lung-RADS) follow-up recommendations, considering socio-demographic, clinical factors, and natural language processing-extracted nodule characteristics. …”
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Application of Machine Tool Thermal Error Compensation in Digital Twin-based System by MA Chi, LI Minging, LIU Jialan, HE Jialong, HUA Chunlei, WANG Liang

“…However, even such methods are sensitive to problems like collinearities among temperature variables, manual parameter tuning, and limited real-time compensation capabilities. …”
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A robust approach to satellite image encryption using chaotic map and circulant matrices by Shamsa Kanwal, Saba Inam, Asghar Ali Shah, Halima Iqbal, Anas Bilal, Muhammad Usman Hashmi, Raheem Sarwar

“…Abstract In the modern era, where satellite imagery is vital for applications like ecological monitoring and national security, ensuring the safety and integrity of these data repositories is crucial. …”
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Network Efficient Hierarchical Authentication Algorithm for Secure Communication in IoT and IoE by Abhiram Sharma, R. Suganya, P. B. Krishna, Rudra Raj, Raja Kumar Murugesan

“…By dividing data into 42-bit blocks, it optimizes the encryption process, offering faster, more efficient data protection than conventional approaches. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…While deep learning models have shown promising results in automating this process, their ability to generalize across diverse datasets remains a significant challenge. …”
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Rescue and Translocation of Hispaniola Hutia (Plagiodontia aedium) in Pueblo Viejo, Cotuí Mining Concession Area by Miguel S. Núñez‐Novas, Rosanna Carreras‐De León, Amelia L. Mateo Jiménez, Carolina Dávila, Pilar Calderón

“…Data are presented for eight individuals, belonging to two different families, detailing capture methods, handling, reintroduction method, and behavior, as well as data on post‐release monitoring for both families. …”
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Anti-TNFα and Anti-IL-1β Monoclonal Antibodies Preserve BV-2 Microglial Homeostasis Under Hypoxia by Mitigating Inflammatory Reactivity and ATF4/MAPK-Mediated Apoptosis by Linglin Zhang, Chaoqiang Guan, Sudena Wang, Norbert Pfeiffer, Franz H. Grus

“…The disruption of microglial homeostasis and cytokine release are critical for neuroinflammation post-injury and strongly implicated in retinal neurodegenerative diseases like glaucoma. This study examines microglial responses to chemical hypoxia induced by cobalt chloride (CoCl<sub data-eusoft-scrollable-element="1">2</sub>) in BV-2 murine microglial cells, focusing on signaling pathways and proteomic alterations. …”
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Review of simulations on land use change: a methodology based on bibliometric analysis by Qingquan Sun, Qingquan Sun, Lexuan Huang, Han Meng, Liang Chi, Jianzhai Wu, Xiangyang Zhou

“…Future research should focus on developing hybrid frameworks combining process-based and data-driven models, leveraging multi-source data for accuracy, and designing scenario-based models for sustainable development goals, especially in river basins and urbanizing regions.…”
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A Novel Hybrid Deep Learning Framework for Evaluating Field Evapotranspiration Considering the Impact of Soil Salinity by Yao Rong, Weishu Wang, Peijin Wu, Pu Wang, Chenglong Zhang, Chaozi Wang, Zailin Huo

“…Abstract Accurate evaluation of evapotranspiration (ET) is crucial for efficient agricultural water management. Data‐driven models exhibit strong predictive ET capabilities, yet significant limitations like naive extrapolation hamper wider generalization. …”
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ELTrack: Events-Language Description for Visual Object Tracking by Mohamad Alansari, Khaled Alnuaimi, Sara Alansari, Sajid Javed

“…The integration of Natural Language (NL) descriptions into Visual Object Tracking (VOT) has shown promise in enhancing the performance of RGB-based tracking by providing richer, contextually aware information that helps to address issues like appearance variations, model drift, and ambiguous target representation. …”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…Traditional statistical methods like ARIMA and GARCH struggle with non-linear data. …”
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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…The EMG signals&#x2019; data of 30 regional subjects, with 5 trials each, have been acquired and pre-processed using filters and three data oversampling techniques, SMOTE, SMOTE-ENN, and ADSYN. …”
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