Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis by Alan Yung, Tim Shaw, Judy Kay, Anna Janssen

“…Although technology can facilitate information sharing and improve the efficiency of consultation workflows, it is only part of a complex human communication process that needs support from multiple sources, including the broader multidisciplinary cancer team.…”
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Cloud Removal in Full-disk Solar Images Using Deep Learning by Zhenhong Shang, Peng Du, Zhenping Qiang, Runxin Li

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Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh by Mosaraf Hosan Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Syed Nahin Hossain, Amimul Ahsan, M. M. El-Sergany, Md. Shafiquzzaman, Monzur Alam Imteaz, Mohammad T. Alresheedi

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War-Torn Justice: Empirical Analysis of the Impact of Armed Conflict on Fair Trial Guarantees in Ukraine by Kaja Kowalczewska

“…Despite the complexity of the situation, Ukraine's judiciary has demonstrated resilience in upholding fair trial guarantees. …”
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Enhancing Data Recovery in RAID6: A Comparative Analysis of Row-Diagonal Parity Codes by Zhang Wenxu

“…RAID6 systems, known for their robust data protection and redundancy capabilities, encounter challenges in data recovery efficiency and computational complexity. This study investigates the efficacy of Row- Diagonal Parity (RDP) codes within RAID6 frameworks, emphasizing their ability to recover from dual disk failures. …”
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Enhancing DDoS Attack Classification through SDN and Machine Learning: A Feature Ranking Analysis by Aymen AlAwadi, Kawthar Rasoul ALesawi

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An Integrated Approach for Multiarea Reliability Improvement With Risk-Based Contingency Analysis and Optimal Load Curtailment by Tanmay Jain, Kusum Verma

“…Effective risk-based contingency analysis (RBCA) is essential in modern power systems to address increasing uncertainties and complexities. …”
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QoS Analysis for a Nonpreemptive Continuous Monitoring and Event-Driven WSN Protocol in Mobile Environments by Israel Leyva-Mayorga, Mario E. Rivero-Angeles, Chadwick Carreto-Arellano, Vicent Pla

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Analysis of Universal Decoding Techniques for 6G Ultra-Reliable and Low-Latency Communication Scenario by Abhilasha Gautam, Prabhat Thakur, Ghanshyam Singh

“…High reliability and low latency require decoders with improved error rate performance and reduced complexity. This article investigates candidate universal decoding algorithms for 6G communication scenarios. …”
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Unraveling the influence of political marketing on electoral decision-making: A robust analysis with PLS-SEM by Jorge Alberto Vargas-Merino, Cristhina del Pilar Pillaca-Villarruel, Gian Pierre Silvera-Otañe, Gisela Analy Fernández-Hurtado, Luis Miguel Olórtegui-Alcalde, Alfredo Martín Berrospi-Ytahashi

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Analysis of installed photovoltaic capacity in Mexico: A systems dynamics and conformable fractional calculus approach by Jorge Manuel Barrios-Sánchez, Roberto Baeza-Serrato, Leonardo Martínez-Jiménez

“…The differential equations governing the growth were solved using the conformable derivative, which captures the complexity of the system's dynamics, including memory effects.The sensitivity analysis performed on both the exponential and sigmoidal models reveals that the fractional parameter $ \alpha = 0.8652 $ provides the best fit to the actual data from 2015 to 2023, reducing the average error to 16.52%. …”
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Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis by Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tulay Adali

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Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression by Jialu Ma, Caleb McQuay, John Talburt, Amit K. Tiwari, Mary Qu Yang

“…Single-cell RNA sequencing (scRNA-seq) technology has revolutionized our ability to dissect the cellular complexity of cancers, which is often obscured in conventional bulk transcriptomic experiments. …”
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Groundwater Level Prediction and Earthquake Precursor Anomaly Analysis Based on TCN-LSTM-Attention Network by Xinfang Chen, Lijia Yang, Xin Liao, Hanqing Zhao, Shiwei Wang

“…This paper proposes a TCN-LSTM-Attention model that combines the advantages of effective feature extraction with TCN and capturing complex temporal dependencies with LSTM. Experiments show that the designed model has strong abilities in predicting groundwater levels and identifying earthquake precursor anomalies. …”
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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

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BUILDING RUSSIAN UNIVERSITY STUDENTS’ NATIONAL IDENTITY IN MULTICULTURAL SOCIETY (ANALYSIS OF MULTICULTURAL NATIONS’ EXPERIENCE) by I. L. Pluzhnik, T. L. Oskolova, TyAnna K. Herrington

“…An integrated pedagogical complex mechanism for building the national identity of students in a multicultural society is revealed. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Abstract Multimodal sentiment analysis (MSA) is crucial in human-computer interaction. …”
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Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation by Sixuan Wu, Yuanbin Tang, Qihong Pan, Yaqin Zheng, Yeru Tan, Junfan Pan, Yuehua Li

“…Abstract Lung adenocarcinoma (LUAD) is a major challenge in oncology due to its complex molecular structure and generally poor prognosis. …”
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Distribution Characteristics and Source Analysis of “Three Nitrogen” in Shallow Groundwater in Hailun Area of Heilongjiang Province by Lijun LI, Qiang LIU

“…With the concealment, complexity and hysteretic groundwater pollution property, it is difficult to conduct the source analysis of nitrate in groundwater. …”
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Enhancing Weibo Sentiment Analysis With Multi-Modal Learning: Integrating Text and Synthesized Images With Contrastive Learning by Chuyang Wang, Jessada Konpang, Adisorn Sirikham, Shasha Tian

“…Current sentiment analysis methods struggle with the unique challenges of Weibo posts, which often contain informal language, sarcasm, and lack of context, making it difficult to capture complex emotions. …”
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