Found 723 document(s)
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Anti-jamming capability is of paramount importance in modern wireless communications, yet conventional receivers are severely constrained by their fixed array geometries, which limit the available spatial degrees of free...
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Machine learning models are now widely used to predict environmental variable dynamics in domains like hydrology, climate science, agriculture, and ecology. These models are usually compared on fixed benchmark datasets u...
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Automated fake news detection is vital on social media, where fake news is easily rewritten to fool detectors. However, existing approaches typically rely on superficial writing cues or single-style text rewrites, result...
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Across multiple waves of computing, public trust in new technology has followed the emergence of governance mechanisms that made dominant risks legible and manageable. Generative AI shifts this pattern: these systems syn...
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Code linters, tools that automatically detect code issues, help developers accelerate development and improve code quality by identifying errors early. Unlike previous studies that focused mainly on single linters or inf...
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Differentially private synthesis of in-car energy consumption data is challenging because the output is high-dimensional, and known lower bounds show that the privacy-utility trade-off degrades with the square root of th...
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Experts can master fine hand-object manipulation skills, yet limited conscious perception of rapid tactile interactions hinders their ability to articulate the underlying control mechanisms. Badminton racket control requ...
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Skills provide agents with reusable experience to guide future decisions without modifying the underlying model. However, coding trajectories are often entangled with task- and repository-specific contexts, making it cha...
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As frontier language models grow increasingly capable and autonomous, independent third-party evaluations are critical for characterizing their systemic safety risks. While closed-source releases are routinely accompanie...
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Frontier multimodal large language models (MLLMs) can control robots without robot-specific training, but how their capabilities compare and interact with post-trained vision-language-action (VLA) and world action model ...
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This study examines the incorporation of theological language into general education course descriptions across 231 Protestant universities. Although all institutions required a Bible or theology course, only 16% integra...
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Key Practices in Pā6 Integrated STEM Education: Delphi Panel Insights Over the past two decades, educators and policymakers have worked to improve STEM education for Pā12 students, yet patterns of engagement remain persi...
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Poverty alleviation through education is counted as a critical move in China's campaign against poverty, aiming to elevate the education levels of the underprivileged population, halt the intergenerational transmission o...
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Based on panel data from 36 cities in Northeast China spanning the years 2012 to 2021, this study employs the dual dimensions of "commonality" and "prosperity" to holistically assess the level of common prosperity. By de...