Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification by Syed Mohammed Shafi, Sathiya Kumar Chinnappan

“…This hybrid approach enhances the model’s ability to distinguish between different types of lung diseases and reduces diagnostic errors compared to existing methods.…”
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RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks. by Souvik Seal, Qunhua Li, Elle Butler Basner, Laura M Saba, Katerina Kechris

“…We used RCFGL to jointly estimate the gene co-expression networks in different brain regions (conditions) using a cohort of heterogeneous stock rats. …”
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Clinical considerations on antimicrobial resistance potential of complex microbiological samples by Norbert Solymosi, Adrienn Gréta Tóth, Sára Ágnes Nagy, István Csabai, Csongor Feczkó, Tamás Reibling, Tibor Németh

“…We can assume that these strain-by-strain concordance results are also true for bacteria in complex microbial samples, and conclude that AMRP obtained from metagenomic ARG analysis can help choose efficient ABs. This is illustrated using AMRP by a canine external otitis sample.…”
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Dysregulation of Podocyte BK Channels and Nephrosis: Effects of Circulating Factors and Auxiliary β4 Subunits by Eun Young Kim, Patrycja Rachubik, Stuart E. Dryer

“…Podocytes express large-conductance Ca²⁺-activated K⁺ channels (BK channels) and at least two different pore-forming KCa1.1 subunit C-terminal splice variants, known as VEDEC and EMVYR, along with auxiliary β and γ subunits. …”
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AHP-Guided Stacked Ensemble Modeling for Student Engagement Level Prediction in Online Education by Jingjing Fu, Linjie Luo, Zhifeng Zhong, Jiaming Qin

“…This combined structure, in order to take advantage of the strengths of each model and reduce errors, ultimately leads to more accurate and efficient prediction of student engagement level in online learning environments. …”
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Coordination and Driving Mechanism of Water-Energy-Food-Ecology Coupling System in Inner-Mongolia Reaches of Yellow River Based on Coupling Coordination Degree Model by TAN Hanze, ZHANG Zezhong, FENG Kai, LUO Xudong, ZHOU Quancheng, LIU Yong, ZHANG Dequan

“…In terms of spatial differences, energy has the greatest impact, while water has the least explanatory power. …”
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Smart nanoparticle delivery of cancer vaccines enhances tumor immune responses: a review by Jiayou Qiu, Chenghu Wu

“…The development of intelligent NPs delivery systems can enhance efficient antigen presentation, thereby augmenting tumor immune responses. …”
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Presenting an Order-Aware Multimodal Fusion Framework for Financial Advisory Summarization With an Exclusive Video Dataset by Sarmistha Das, Samrat Ghosh, Abhisek Tiwari, R. E. Zera Marveen Lynghoi, Sriparna Saha, Zak Murad, Alka Maurya

“…By offering a transparent and time-efficient means for laypeople to access and comprehend finance insights, our work represents a significant advancement in multimodal financial summarisation. …”
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Rate of penetration prediction for large-diameter offshore drilling for wind farm structures by Abbasov Abbas, Abbasov Tural, Merey Sukru

“…An alternative method that can complete wind farm infrastructure efficiently in challenging soil and rocks is drilling. …”
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Exosomes in neurodegenerative diseases: Therapeutic potential and modification methods by Hongli Chen, Na Li, Yuanhao Cai, Chunyan Ma, Yutong Ye, Xinyu Shi, Jun Guo, Zhibo Han, Yi Liu, Xunbin Wei

“…Our findings indicate that exosomes can efficiently cross the blood–brain barrier to facilitate drug delivery and can also serve as early diagnostic markers for neurodegenerative diseases. …”
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BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding by Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan

“…However, effectively decoding these MI EEG signals is often overshadowed by flawed methods in signal processing, deep learning methods that are clinically unexplained, and highly inconsistent performance across different datasets. We propose BCINetV1, a new framework for MI EEG decoding to address the aforementioned challenges. …”
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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

“…The predominant method for quantifying uncertainty was Monte Carlo dropout, producing predictions from multiple networks for which different neurons have dropped out and measuring variance across the distribution of resulting predictions. …”
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The Role of Innovative Entrepreneurship in the Economic Development of EU Member Countries by Rodica Crudu

“…Researchers have expressed different views about the relationship between economic development and entrepreneurship throughout time. …”
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Effect of Porous Coating on Heat Transfer in Minichannels with Intensive Localised Heating by Pukhovoy M.V., Zaitsev D.V.

“…This will allow achieving the required scale of heat exchange parameter values when developing highly efficient heat exchange systems for modern microelectronics and power engineering.…”
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Finger and foot tapping sensor system for objective motor assessment by Đurić-Jovičić Milica, Jovičić Nenad, Radovanović Saša, Ječmenica-Lukić Milica, Belić Minja, Popović Mirjana, Kostić Vladimir

“…The system allowed easy measurement of listed parameters, and additional graphical representation showed quantitative differences in these parameters between neurological patient and healthy subjects. …”
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Screening of metal additives in ABS polymer fuel for enhanced performance in hybrid rocket motors: A computational analysis using CEA by Gail Ndlovu, Bilainu Oboirien, Patrick Ndungu

“…The results revealed that each test produced a different optimum O/F ratio, with most ratios falling between 4 and 6. …”
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Developing an internationally-applicable service specification for continence care: systematic review, evidence synthesis and expert consensus. by Adrian S Wagg, Diane K Newman, Kai Leichsenring, Paul van Houten

“…There is limited organisational evidence to guide payers and providers about service configuration which will deliver efficient guideline-compliant, high-quality patient care.…”
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The vulnerability of regional agriculture regarding irrigation water from the Tagus-Segura transfer by José Daniel Buendía Azorín, Rubén Martínez Alpañez, María del Mar Sánchez de la Vega

“…This paper use a proposal of a simple and efficient procedure for estimating these parameters from generally available information on road freight transport and goods imports from the rest of the world. …”
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Numerical simulation study on the stability of coal pillar supported by end gang mining under the effect of blasting vibration by Juyu Jiang, Yulong Zhang, Dong Wang, Lanzhu Cao, Laigui Wang, Changbo Du

“…Abstract The stability of the supporting coal pillar is crucial to determining the safe and efficient popularization of highwall mining technology. …”
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A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

“…This review aims to comprehensively analyze recent literature on different approaches and outcomes in sleep studies, specifically on ‘sleep stages classification’ and ‘sleep disorder detection’ using Artificial Intelligence. …”
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