Q-Pandora Unboxed: Characterizing Resilience of Quantum Error Correction Codes Under Biased Noise by Avimita Chatterjee, Subrata Das, Swaroop Ghosh

“…They exceed the noise threshold of current quantum processors, making them more effective at lower error rates. This study highlights a hierarchy in surface code implementation based on resource demand, consistently observed across both code types. …”
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Understanding Epistatic Interactions between Genes Targeted by Non-coding Regulatory Elements in Complex Diseases by Min Kyung Sung, Hyoeun Bang, Jung Kyoon Choi

“…Moreover, the majority of associated single-nucleotide polymorphisms resides in non-coding regions, making it difficult to understand their phenotypic contribution. …”
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NetCodeAIoT: Enhancing Augmented Intelligence of Things for Vehicle Systems in 5G Networks by Okuwudili Mathew Ugochukwu, Renata Lopes Rosa, Muhammad Saadi, Demostenes Z. Rodriguez, Frederico G. Guimaraes

“…NetCodeAIoT dynamically adjusts the sparsity level of the decoding matrix, implements unequal error protection network coding, and enables instantaneous decoding of data. …”
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A Novel Approach for Enhancing Code Smell Detection Using Random Convolutional Kernel Transform by Mostefai Abdelkader, Mekour Mansour

“… Context: In software engineering, the presence of code smells is closely associated with increased maintenance costs and complexities, making their detection and remediation an important concern. …”
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Beyond Manual Media Coding: Evaluating Large Language Models and Agents for News Content Analysis by Stavros Doropoulos, Elisavet Karapalidou, Polychronis Charitidis, Sophia Karakeva, Stavros Vologiannidis

“…The vast volume of media content, combined with the costs of manual annotation, challenges scalable codebook analysis and risks reducing decision-making accuracy. This study evaluates the effectiveness of large language models (LLMs) and multi-agent teams in structured media content analysis based on codebook-driven annotation. …”
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Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages by Muhammad Kashif Nazir, Cm Nadeem Faisal, Muhammad Asif Habib, Haseeb Ahmad

“…These diverse perspectives offer valuable insights for data-driven decision-making. While extensive sentiment analysis approaches have been developed for resource-rich languages like English and Chinese, low-resource languages such as Roman Urdu and Roman Punjabi, especially in code-mixed contexts, have been largely neglected due to the lack of datasets and limited research on their unique morphological structures and grammatical complexities. …”
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Deciphering the roles of non-coding RNAs in liposarcoma development: Challenges and opportunities for translational therapeutic advances by Zhi Xiong Chong, Wan Yong Ho, Swee Keong Yeap

“…Liposarcoma is one of the most prevalent forms of soft tissue sarcoma, and its prognosis is highly dependent on its molecular subtypes. Non-coding RNAs (ncRNAs) like microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) can bind various cellular targets to regulate carcinogenesis. …”
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Choosing wisely: Improving decision-making for deployment of diagnostics in primary care settings by Varsha Shridhar, Vasudha Kannan, Ramakrishna Prasad, Pavitra Mohan

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Making JavaScript Render Decisions to Optimize Security-Oriented Crawler Process by Onur Aktas, Ahmet Burak Can

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Analyzing Decision-making Bias in Female CEOs through the Lens of Behavioral Strategy by Masoumeh Hosseinzadeh Shahri

“…A total of 76 primary codes, 18 sub-themes and 13 main themes were extracted, which were categorized into three categories. …”
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Accretion Bursts in Young Intermediate-mass Stars Make Planet Formation Challenging by Indrani Das, Eduard Vorobyov, Shantanu Basu

“…The ensuing MRI bursts destroy the dust rings, making planetesimal formation via SI problematic. …”
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Assessment of Large Language Models (LLMs) in decision-making support for gynecologic oncology by Khanisyah Erza Gumilar, Birama R. Indraprasta, Ach Salman Faridzi, Bagus M. Wibowo, Aditya Herlambang, Eccita Rahestyningtyas, Budi Irawan, Zulkarnain Tambunan, Ahmad Fadhli Bustomi, Bagus Ngurah Brahmantara, Zih-Ying Yu, Yu-Cheng Hsu, Herlangga Pramuditya, Very Great E. Putra, Hari Nugroho, Pungky Mulawardhana, Brahmana A. Tjokroprawiro, Tri Hedianto, Ibrahim H. Ibrahim, Jingshan Huang, Dongqi Li, Chien-Hsing Lu, Jer-Yen Yang, Li-Na Liao, Ming Tan

“…Background: LLMs are advancing rapidly and require a thorough evaluation to ensure that they can be safely and effectively used in clinical decision-making. Such evaluations are essential for confirming LLM reliability and accuracy in supporting medical professionals in casework. …”
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Review article: A scoping review of human factors in avalanche decision-making by A. Hetland, A. Hetland, R. A. Hetland, T. T. Skille, T. T. Skille, A. Mannberg, A. Mannberg

“…Between 2001–2011, 11 research papers on decision-making in avalanche terrain were published in peer- reviewed journals. …”
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Validation and study of different parameters in the simulation of diagnostic X-ray spectra using the MCNPX code by K.C.W. Consatti, W. S. Santos, J. V. B. Valença, M. T. Yoshizumi

“…In radiology, knowing the X-ray spectrum characteristics makes it possible to estimate the absorbed dose in the patient and to improve image quality. …”
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A Novel Hybrid System Based on Fractal Coding for Soccer Retrieval from Video Database by Ehsan Lotfi

“…Most information retrieval systems make indirect use of human knowledge in their retrieval process. …”
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KG4Py: A toolkit for generating Python knowledge graph and code semantic search by Lu Liang, Yong Li, Ming Wen, Ying Liu

“…In the era of big data, there are numerous duplicate code snippets on the Internet, it is especially necessary to make use of them to build new software projects. …”
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DNA as a Double-Coding Device for Information Conversion and Organization of a Self-Referential Unity by Georgi Muskhelishvili, William Nasser, Sylvie Reverchon, Andrew Travers

“…We argue that at the most basic level, this integration is enabled by the unique property of the DNA to act as a double coding device harboring two logically distinct types of information. …”
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A Deep Learning Approach for a Source Code Detection Model Using Self-Attention by Yao Meng, Long Liu

“…Our proposed model retains both the syntactics and semantics of the source code in the process of encoding, and the self-attention algorithm makes the classifier concentrate on the effect of key statements and improves the classification performance. …”
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A Modified Symmetric Key Fully Homomorphic Encryption Scheme Based on Read-Muller Code by RatnaKumari Challa, VijayaKumari Gunta

“…Few schemes based on coding theory have been proposed but none of them support unlimited operations with security.   …”
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Experimental performance analysis of lightweight block ciphers and message authentication codes for wireless sensor networks by Sooyeon Shin, Minwoo Kim, Taekyoung Kwon

“…The highly sensitive nature of collected information and various potential security threats make security in wireless sensor networks a crucial concern. …”
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