Universal in-context approximation by prompting fully recurrent models by Petrov, A, Lamb, TA, Paren, A, Torr, PHS, Bibi, A

“…Zero-shot and in-context learning enable solving tasks without model fine-tuning, making them essential for developing generative model solutions. …”

Language models as hierarchy encoders by He, Y, Yuan, Z, Chen, J, Horrocks, I

“…We evaluate HITs against pre-trained LMs, standard fine-tuned LMs, and several hyperbolic embedding baselines, focusing on their capabilities in simulating transitive inference, predicting subsumptions, and transferring knowledge across hierarchies. …”

AI-assisted discovery of quantitative and formal models in social science by Balla, J, Huang, S, Dugan, O, Dangovski, R, Soljačić, M

“…We propose that this AI-assisted framework can bridge parametric and non-parametric models commonly employed in social science research by systematically exploring the space of non-linear models and enabling fine-grained control over expressivity and interpretability.…”

UWB antipodal Vivaldi antenna for monostatic configuration of through wall imaging applications by AHMED, SAJJAD, JORET, ARIFFUDDIN, KATIRAN, NORSHIDAH, PONNIRAN, ASMARASHID, ABDULLAH, M. F. L., ZAKARIA, ZAHRILADHA, SULONG, MUHAMMAD SUHAIMI

“…A specific stable gain of around 11.7 dB is achieved with good directivity and fine radiation patterns. Using this monostatic UWB antenna design, a TWI simulation-based experiment was carried out. …”
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A Splendid Exchange : How Trade Shaped the World / by Bernstein, William J., author 348907

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Caraval / by Garber, Stephanie, author 655982, Macmillan Books (Online service) 655983

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Six of Crows / by Bardugo, Leigh, author 656001, Holt (Online service) 655998

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What We Talk About When We Talk About Books : The History and Future of Reading / by Price, Leah, author 656033, Hachette Books Group (Online service) 647103

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Normal People / by Rooney, Sally, author 631806, Faber (Online service) 656045

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Urban Resilience : Lessons on Urban Environmental Planning from Turkey / by Salata, Stefano, author 656088, Emerald Publishing Limited (Online service) 646680

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Mastering Large Language Models with Python / by R, Raj Arun, author 656129, Orange Education (Online service) 656122

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The causes of delay in construction project in Kuantan by Nur Azuwa, Ghazali

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Mining big spatial data by Lee, Ming Da

“…This project will be using four different visualization techniques, such as hex bin, kernel density estimation, heatmap and datashader, and three different point pattern analysis techniques, namely quadrant statistic, average nearest neighbor and centrography, to analyze road traffic accident data. …”
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Dosimetric study of fletcher’s applicator in high-dose-rate (HDR) brachytherapy for cervical cancer: TLD measurements in pelvic water phantom by Sallehudin,, Muhammad Nursyabil

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Knowledge, attitude and practice in burn first aid among nursing student at school of health sciences, Universiti Sains Malaysia by Munir, Muhammad Shafiq

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Structure and phase engineering of 2D transition metal chalcogenides by Tang, Bijun

“…Moreover, the morphology of heterostructures can be engineered by fine-tuning the synthesis conditions. WS2 quantum well is also identified in the synthesized heterostructures, providing opportunities for studying novel optical properties and quantum confinement effects. …”
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Physics-informed machine learning for green data center operations by Wang, Ruihang

“…The evaluation shows that our approach saves 5.7% to 13.8% power usage compared with conventional feedback control and adapts 8x to 10x faster than native fine-tuning with at most 0.74C temperature overshoot. …”
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The Economics of Tropical Deforestation by Balboni, Clare, Berman, Aaron, Burgess, Robin, Olken, Benjamin A.

“…We begin by reviewing the methodological advances that have enabled measurement of forest loss at a fine spatial resolution across the globe. We then develop a simple benchmark model of deforestation based on classic models of natural resource extraction. …”
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An Energy and Area Estimation Plugin for Accelerator Architecture Simulation by Wu, Wendy

“…Accelergy is a tool that provides a good general framework for fine-grained energy and area estimation. However, output from simulation tools may not be compatible with Accelergy’s expected input format, which is the case for the custom simulator Accelsim. …”
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MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning by Rajasekaran, Sudarsanan, Narang, Sanjoli, Zabreyko, Anton A., Ghobadi, Manya

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