Preliminary Assessment of Geometric Variability Effects Through a Viscous Through-Flow Model Applied to Modern Axial-Flow Compressor Blades by Arnaud Budo, Jules Bartholet, Thibault Le Men, Koen Hillewaert, Vincent E. Terrapon

“…Thus, we first evaluate the model with respect to its underlying assumptions and correlations. …”
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Filter Bank Multi-Sub-Band Transmission for Optical Systems With Mode Multiplexing by Lailson F. dos Santos, Filipe M. Ferreira, Andrew D. Ellis, Darli A. A. Mello

“…Although frequency-domain MIMO equalization requires a moderate complexity compared to time-domain equalization, the long required fast Fourier transforms may face implementation issues. In this paper, we evaluate an alternative transceiver architecture based on sub-band partitioning, implemented by filter banks, which enables concurrent time-domain equalization. …”
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A Highly Robust Encoder–Decoder Network with Multi-Scale Feature Enhancement and Attention Gate for the Reduction of Mixed Gaussian and Salt-and-Pepper Noise in Digital Images by Milan Tripathi, Waree Kongprawechnon, Toshiaki Kondo

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Electric Field Calculation and Comparative Analysis of Conventional and Unconventional Transmission Lines by Easir Arafat, Babak Porkar, Mona Ghassemi

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Finding a suitable chest x-ray image size for the process of Machine learning to build a model for predicting Pneumonia by Kriengsak Yothapakdee, Yosawaj Pugtao, Sarawoot Charoenkhun, Tanunchai Boonnuk, Kreangsak Tamee

“…This study focused on algorithm performance and training/testing time, evaluating the most suitable chest X-ray image size for machine learning models to predict pneumonia infection. …”
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Cluster-independent multiscale marker identification in single-cell RNA-seq data using localized marker detector (LMD) by Ruiqi Li, Rihao Qu, Fabio Parisi, Francesco Strino, Hainan Lam, Jay S. Stanley, Xiuyuan Cheng, Peggy Myung, Yuval Kluger

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K-Means Clustering in Relevance Grouping of Undergraduate Informatics Jobs: Case Study at the Informatics Engineering Department, Universitas Muhammadiyah Malang, Malang, Indonesia by Dikky Cahyo Hariyanto, Sri Harini, Totok Chamidy

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Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review by Mohamed Massaoudi, Katherine R. Davis, Khandaker Akramul Haque

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SpaIM: single-cell spatial transcriptomics imputation via style transfer by Bo Li, Ziyang Tang, Aishwarya Budhkar, Xiang Liu, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

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Enhancing Early Detection of Oral Squamous Cell Carcinoma: A Deep Learning Approach with LRT-Enhanced EfficientNet-B3 for Accurate and Efficient Histopathological Diagnosis by A. A. Abd El-Aziz, Mahmood A. Mahmood, Sameh Abd El-Ghany

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A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators by Dyah Sulistyowati Rahayu, Zaäfri Ananto Husodo, Jan Pidanic, Xue Li, Heru Suhartanto

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Machine Learning Decision Support for Macronutrients in Neonatal Parenteral Nutrition by Setareh Derakhshandara, Valentina Franzoni, Daniele Mezzetti, Valentina Poggioni

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Improved enzyme functional annotation prediction using contrastive learning with structural inference by Yuxin Yang, Abby Jerger, Song Feng, Zixu Wang, Christina Brasfield, Margaret S. Cheung, Jeremy Zucker, Qiang Guan

“…A prominent challenge within this domain has been the task of predicting enzyme function, a complex problem that has seen the development of numerous computational methods, particularly those rooted in deep learning techniques. …”
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Designing the Next-Generation Chemistry Journal: The Internet Journal of Chemistry by Steven M. Bachrach, Darin C. Burleigh, Anatoli Krassivine

“… The development of the Internet as a means for mass communication affords scientists an opportunity to re-evaluate the way they communicate scientific results. …”
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Validated space radiation exposure predictions from earth to mars during Artemis-I by Tony C. Slaba, Shirin Rahmanian, Stuart George, Diego Laramore, John W. Norbury, Charles M. Werneth, Cary Zeitlin

“…A combination of models and on-board instruments are utilized to meet this requirement. In this work, computational models are evaluated against spaceflight measurements taken within the International Space Station, the Orion spacecraft, the BioSentinel CubeSat, and on the Martian surface. …”
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Next-to-next-to-leading order threshold soft function for tW production by Jia-Le Ding, Hai Tao Li, Jian Wang

“…Abstract We compute the two-loop soft function for the associated production of a top quark and a W boson near the threshold, where the invariant mass of the tW system approaches the collider energy. …”
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Monolithic and Decomposition Methods for Optimal Scheduling of Dynamically Adaptive Water Networks by Bradley Jenks, Aly-Joy Ulusoy, Ivan Stoianov

“…Solution quality and computational efficiency are evaluated using a model of a large-scale network in the UK.…”
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Imaging Performance of Quantitative Transmission Ultrasound by Mark W. Lenox, James Wiskin, Matthew A. Lewis, Stephen Darrouzet, David Borup, Scott Hsieh

“…A prototype QTUS system was evaluated for measurement and geometric accuracy as well as for the ability to correctly determine speed of sound.…”
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Hepatic Epithelioid Hemangioendothelioma: A Case Report Emphasizing Diagnostic Challenges by Beyza Selvi, Ali Emre Bardak, Arzu Poyanlı, Bilger Çavuş

“…A positron emission tomography–computed tomography scan showed liver, bone, and possible colon involvement. …”
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Provably secure certificateless aggregate signature scheme in wireless roaming authentication by Zhi-yan XU, Li-bing WU, Li LI, De-biao HE

“…Certificateless aggregate signature (CLAS) schemes have been widely applied in resource-constrained wireless mobile networks,because they could not only realize batch validation but also solve the certificate management and key escrow problems.It was shown that a certificateless aggregate signature in an anonymous roaming authentication scheme was vulnerable to the signature forge attack.To address the issue,a new secure and efficient certificateless aggregate signature scheme was presented,which required no bilinear pairing operations.And then the security of the scheme under the ECDLP assumption in the random oracle model was proved.Finally the performance of proposed scheme was evaluated.Compared with the original scheme,the proposal is more secure and the total computational cost is greatly reduced .…”
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