Multiple testing for signal-agnostic searches for new physics with machine learning by Grosso, Gaia, Letizia, Marco

“…Specifically, we consider hypothesis tests relying on machine learning, where model selection can introduce a bias towards specific families of new physics signals. …”
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Controls on eruption style at Rabaul, Papua New Guinea – insights from microlites, porosity and permeability measurements by Bernard, Olivier., Bouvet de Maisonneuve, Caroline

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Net section fracture of aluminium alloy angle-to-plate connections: testing, modelling and design by Jiang, Ke, Li, Shuai, Guo, Tong, Liang, Yating, Zhao, Ou

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New insights into the diverse electronic phases of a novel vanadium dioxide polymorph : a terahertz spectroscopy study by Chia, Elbert E. M., Lourembam, James, Srivastava, Amar, La-o-vorakiat, Chan, Rotella, H., Venkatesan, T.

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Creative Research : The Theory and Practice of Research for the Creative Industries / by Collins, Hilary (Hilary J.), author 656091

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The effects of online social interactions on life satisfaction of older Chinese adults: new insights based on a longitudinal approach by Zhou, Dong, Xu, Yi, Ai, Pengya

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The closure of Palaeo-Tethys in Eastern Myanmar and Northern Thailand: New insights from zircon U–Pb and Hf isotope data by Gardiner, NJ, Searle, MP, Morley, CK, Whitehouse, MP, Spencer, CJ, Robb, LJ

New method for automatic generation of patient specific finite element models of the distal femur by Lek, Cheah Wen.

“…Three-dimensional (3-D) finite element (FE) modeling in orthopedics biomechanics has gained considerable interest in the past decades. …”
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Local-flexural interactive buckling of S690 high strength steel slender welded I-section columns: testing, modelling and design by Sun, Yao, Liang, Yating, Su, Andi, Zhao, Ou

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Proactive chatbot framework based on the PS2CLH model: an AI-Deep Learning chatbot assistant for students by Arlindo, Almada, Qicheng, Yu, Preeti, Patel

“…The new chatbot framework uses knowledge from the PS2CLH model and AI - DL to build a proactive chatbot for assisting students’ learning on their academic subjects and controllable learning factors. …”
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Machine learning for chemical components testing by Tan, Ashley Zhao Kiat

“…Further testing results show that the 1D CNN model has a very good generalization performance on completely unseen data, achieving a recall and precision score of around 0.98. …”
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Advancing cyber incident timeline analysis through retrieval-augmented generation and large language models by Loumachi, Fatma Yasmine, Ghanem, Mohamed Chahine, Ferrag, Mohamed Amine

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Insights on Serology, CRISPR Diagnostics, and Machine Learning Architectures for Biological Sequences by Siddiqui, Sameed Muneeb

“…This dissertation focuses on combining cutting-edge immunological, diagnostic, and computational approaches to confront infectious diseases more effectively, with a particular emphasis on SARS-CoV-2. The first two chapters delve into the immunological aspects of SARS-CoV-2, exploring the dynamics of antibody responses during primary infection and reinfection. …”
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The empirical study of new economic geography by Toh, Ci En

“…The model can also be tested against metropolitan areas where we know clearly when and where a new city has been formed. …”
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Exaggerated expectations in ancient starch research and the need for new taphonomic and authenticity criteria by Mercader, Julio, Akeju, Tolutope, Brown, Melisa, Bundala, Mariam, Collins, Matthew J., Copeland, Les, Crowther, Alison, Dunfield, Peter, Henry, Amanda, Inwood, Jamie, Itambu, Makarius, Kim, Joong-Jae, Larter, Steve, Longo, Laura, Oldenburg, Thomas, Patalano, Robert, Sammynaiken, Ramaswami, Soto, María, Tyler, Robert, Xhauflair, Hermine

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Automated viper 150 low cost basic test station by Chee, Vincent Weng Keong.

“…This paper describes the work involved to design a cost effective automated test system for an existing model of a tape drive product. …”
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Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling by Blanca, Antonio, Chen, Zongchen, Stefankovic, Daniel, Vigoda, Eric

“…We also prove a computational phase transition: for a well-studied class of -dimensional distributions, specifically sparse antiferromagnetic Ising models over {+1, −1} , we show that in the regime where approximate tensorization of entropy fails, there is no efficient identity testing algorithm unless RP = NP. …”
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Predicting the work function of 2D MXenes using machine-learning methods by Roy, Pranav, Rekhi, Lavie, Koh, See Wee, Li, Hong, Choksi, Tej S.

“…Using 15 different features of the MXene as inputs, the neural network model predicts the work function of MXenes with a mean absolute error of 0.12 eV on the training data and 0.25 eV on the testing data. …”
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Development of innovative nano-satellites with new generation technologies by Menezes, Ajit Denis

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Modelling and control of isolated wind turbines by Sampath Kumar Praveen.

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