Transcriptome and proteome analysis of Salmonella enterica serovar Typhimurium systemic infection of wild type and immune-deficient mice. by Olusegun Oshota, Max Conway, Maria Fookes, Fernanda Schreiber, Roy R Chaudhuri, Lu Yu, Fiona J E Morgan, Simon Clare, Jyoti Choudhary, Nicholas R Thomson, Pietro Lio, Duncan J Maskell, Pietro Mastroeni, Andrew J Grant

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Machine Learning-Based Prediction of Resilience in Green Agricultural Supply Chains: Influencing Factors Analysis and Model Construction by Daqing Wu, Tianhao Li, Hangqi Cai, Shousong Cai

“…Based on theories such as dynamic capability theory and complex adaptive systems, this paper constructs a resilience framework covering the three stages of “steady-state maintenance–dynamic adjustment–continuous evolution” from both single and multiple perspectives. …”
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SWOT analysis as a tool for selecting text materials for the formation of English communicative competence of students of non-linguistic specialties by Khrystyna Kudrynska, Iryna Semeriak

“…The article examines the concept of communicative competence, as a complex phenomenon of students’ availability of appropriate abilities and skills for high-quality foreign language communication. …”
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Comparing Nanofiltration and Ion Exchange for Reverse Osmosis Pretreatment in Industrial Water Treatment: A Techno-Economic Analysis by Harwin Harwin

“…In contrast, NF demonstrated a superior ability to reduce TDS, albeit with lesser total hardness removal. …”
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Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

“…This superior performance is attributed to the CNN-BiLSTM’s ability to discern bidirectional temporal patterns within the bispectrum image data, effectively capturing the complex dynamics of gearbox failures. …”
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Dense Neural Network Classification Model for Software Defined Network for Fine Grained Traffic Routing and Flow Analysis by Dr. Khaliq Ahmed, Maheen Danish, Asif Raza

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Strategic Insights into Blockchain Adoption in Automotive Supply Chains: A Comparative AHP-TOPSIS and TISM-MICMAC Analysis by Avinash Chauhan, M. Vimala Rani

“…In a highly complex, globally dispersed, and strictly regulated industry such as the automotive supply chain, blockchain technology offers fertile ground to address long-standing inefficiencies and security concerns. …”
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Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree by Nasir Tayarani, Mehrdad Jalali

“…The ability and power of the SentiStrength algorithm to detect sentiment has also led to a thorough analysis of sentiment in tweets. …”
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Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis by Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu

“…The introduction of community-based enrichment analysis and motif-based epistatic discovery emphasize network science as a critical approach for advancing epistasis research and understanding complex genetic architectures.…”
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Analysis of risk factors and the predictive value of a nomogram model for coronary heart disease in patients with rheumatoid arthritis by Guozhu Che, Xing Zhao, Haizhuan An, Yanyan Wang, Qianyu Guo, Ke Xu

“…BackgroundRheumatoid arthritis (RA) is associated with an elevated risk of coronary heart disease (CHD) due to a complex interplay of traditional cardiovascular risk factors and RA-specific mechanisms. …”
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Quantitative ³¹P NMR Spectroscopy: Principles, Methodologies, and Applications in Phosphorus-Containing Compound Analysis by Yaqin Liu, Lina Gao, Zeling Yu

“…While ¹H qNMR is widely used, signal overlap in complex mixtures can limit its accuracy. Additionally, this work explores diverse applications of ³¹P qNMR across fields such as food analysis, pharmaceuticals, and biology, emphasizing its contributions to real-time drug quantification, metabolomics, and environmental analysis. …”
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Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation by Inhee Go, Yu Fu, Xi Ma, Hong Guo

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LogRESP-Agent: A Recursive AI Framework for Context-Aware Log Anomaly Detection and TTP Analysis by Juyoung Lee, Yeonsu Jeong, Taehyun Han, Taejin Lee

“…These results confirm the agent’s ability to not only detect complex threats but also explain them in context, offering a scalable foundation for next-generation threat detection and response automation.…”
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Sentiment Analysis On Tripadvisor Travel Agent Using Random Forest, Support Vector Machines, and Naïve Bayes Methods by Ariq Ammar Fauzi, Anik Vega Vitianingsih, Slamet Kacung, Anastasia Lidya Maukar, Seftin Fiti Ana Wati

“…The RF method was chosen in this study because of its ability to handle large and complex data very accurately, while SVM is able to classify data on a large scale and is resistant to overfitting, while NB is able to classify text with clear probabilities. …”
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Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research by Karthik Meduri, Geeta Sandeep Nadella, Akhila Reddy Yadulla, Vinay Kumar Kasula, Mohan Harish Maturi, Steven Brown, Snehal Satish, Hari Gonaygunta

“…This research sets the new standard for secure and collaborative healthcare data analysis and promotes innovation and ethical practices in rare disease research.…”
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Analysis of antioxidant potential and study of the features of the microstructure in certain types of spices and herbs used in the meat processing industry by V. A. Pchelkina, N. V. Kupaeva

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Multiphysics analysis of the dual role of magnetoelectric nanoparticles in a microvascular environment: from magnetic targeting to electrical activation by Martina Lenzuni, Paolo Giannoni, Emma Chiaramello, Serena Fiocchi, Giulia Suarato, Paolo Ravazzani, Alessandra Marrella

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Optimizing Air Quality Monitoring: Comparative Analysis of Linear Regression and Machine Learning in Low-Cost Sensor Calibration by Runcheng Fang, Scott Collingwood, Yue Zhang, Joseph B. Stanford, Christina Porucznik, Darrah Sleeth

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From bed to bench and back again: Challenges facing deployment of intracranial pressure data analysis in clinical environments by Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne

“…Introduction: Numerous complex physiological models derived from intracranial pressure (ICP) monitoring data have been developed. …”
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Three-dimensional analysis of thermohydraulic performance in corrugated channels with embedded baffles: Optimization of heat transfer and energy efficiency by Jamal-Eddine Salhi, Tarik Zarrouk, Tabish Alam, Md Irfanul Haque Siddiqui, Dan Dobrotă, Mohd Aamir Mumtaz

“…This study conducts a three-dimensional thermohydraulic analysis of wavy channels equipped with embedded baffles on the upper wall, aiming to optimize heat transfer while minimizing pressure losses. …”
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