Digital-driven scaling poses significant problems to analog circuits because scaling severely deteriorates transistor current saturation, significantly degrading the intrinsic gain. Special material properties of emerging low-dimensional semiconductors trigger the possibility of providing solutions. We report complementary carbon nanotube thin-film transistors with negative differential resistance-induced current super-saturation for high, exponentially variable intrinsic gain with immunity against degradation during scaling. Current super-saturation at the negative-to-positive differential resistance transition boundary provides intrinsic gain singularities. The large-window, gate-modulated negative differential resistance behavior derived from carbon nanotube’s characteristics enables its practical utilization in circuits. When approaching the singularity, we record that the intrinsic gain varies by orders of magnitude, ranging from 102 to 106 at different operation points. We further demonstrate high and exponentially variable gain in an operational amplifier, showing a tunable single-stage gain ranging from 35 to 60 decibels.
As artificial intelligence-generated content (AIGC) continues to evolve, video-to-audio (V2A) generation has emerged as a key area with promising applications in multimedia editing, augmented reality, and automated content creation. While Transformer and Diffusion models have advanced audio generation, a significant challenge persists in extracting precise semantic information from videos, as current models often lose sequential context by relying solely on frame-based features. To address this, we present TA-V2A, a method that integrates language, audio, and video features to improve semantic representation in latent space. By incorporating large language models for enhanced video comprehension, our approach leverages text guidance to enrich semantic expression. Our diffusion model-based system utilizes automated text modulation to enhance inference quality and efficiency, providing personalized control through text-guided interfaces. This integration enhances semantic expression while ensuring temporal alignment, leading to more accurate and coherent video-to-audio generation.
The asymmetrical global higher education and knowledge systems ordered by Euro–American hegemony have been increasingly interrogated, especially by scholars in the humanities and social sciences (HSS). With gathering awareness, growing HSS scholars from non-Western backgrounds have called for global intellectual pluriversality. Responding to such a trend, this article sheds new light on the status quo of East Asian and other non-Euro–American intellectual traditions by taking Chinese intellectual traditions as a case. Since the nineteenth century, generations of Chinese intellectuals have strived to transform their intellectual traditions into modern resources. This historical mission has been carried on by contemporary scholars and become even more complex in the current global era. By unpacking the real perceptions and recent experiences of Chinese HSS scholars, this study demonstrates that Chinese intellectual traditions deeply influence today’s knowledge production and have been transformed into three kinds of academic resources: approaches, methodologies/paradigms, and theories. However, the transformation process has never been smooth. Domestically, the great endeavours of Chinese HSS scholars are often impeded by the dominant intellectual extraversion and coercive audit culture; internationally, they feel constrained by epistemic injustice. This article proposes an empirical approach to examining and presenting intellectual traditions in the individual experiences of scholars. It reveals the high complexities of navigating through asymmetrical globalisation to achieve intellectual pluriversality.