Vietnamese Speech Emotion Recognition (SER) remains challenging due to ambiguous acoustic patterns and the lack of reliable annotated data, especially in real-world conditions where emotional boundaries are not clearly separable. To address this problem, this paper proposes a human-machine collaborative framework that integrates human knowledge into the learning process rather than relying solely on data-driven models. The proposed framework is centered around LLM-based reasoning, where acoustic feature-based models are used to provide auxiliary signals such as confidence and feature-level evidence. A confidence-based routing mechanism is introduced to distinguish between easy and ambiguous samples, allowing uncertain cases to be delegated to LLMs for deeper reasoning guided by structured rules derived from human annotation behavior. In addition, an iterative refinement strategy is employed to continuously improve system performance through error analysis and rule updates. Experiments are conducted on a Vietnamese speech dataset of 2,764 samples across three emotion classes (calm, angry, panic), with high inter-annotator agreement (Fleiss Kappa = 0.8574), ensuring reliable ground t
The investigation of fluorescence lifetime became an important tool in biology and medical science. So far, established methods of fluorescence lifetime measurements require the illumination of the investigated probes with pulsed or amplitude-modulated light. In this paper, we examine the limitations of an innovative method of fluorescence lifetime using the strong time-frequency correlation of entangled photons generated by a continuous-wave source. For this purpose, we investigate the lifetime of IR-140 to demonstrate the functional principle and its dependencies on different experimental parameters. We also compare this technique with state-of-the-art FLIM and observed an improved figure-of-merit. Finally, we discuss the potential of a quantum advantage.
Entangled two-photon absorption can enable a linear scaling of fluorescence emission with the excitation power. In comparison to classical two-photon absorption with a quadratic scaling, this can allow fluorescence imaging or photolithography with high axial resolution at minimal exposure intensities. However, most experimental studies on two-photon absorption were not able to show an unambiguous proof of fluorescence emission driven by entangled photon pairs. On the other hand, existing theoretical models struggle to accurately predict the entangled two-photon absorption behavior of chemically complex dyes. In this paper, we introduce an approach to simulate entangled two-photon absorption in common fluorescence dyes considering their chemical properties. Our theoretical model allows a deeper understanding of experimental results and thus the occurrence of entangled two-photon absorption. In particular, we found a remarkable dependency of the absorption probability on the phase-matching temperature of the nonlinear material. Further, we compared results of our theoretical approach to experimental data for Nile Red.
Vision Transformers (ViTs) have revolutionized medical imaging analysis, showcasing superior efficacy compared to conventional Convolutional Neural Networks (CNNs) in vital tasks such as polyp classification, detection, and segmentation. Leveraging attention mechanisms to focus on specific image regions, ViTs exhibit contextual awareness in processing visual data, culminating in robust and precise predictions, even for intricate medical images. Moreover, the inherent self-attention mechanism in Transformers accommodates varying input sizes and resolutions, granting an unprecedented flexibility absent in traditional CNNs. However, Transformers grapple with challenges like excessive memory usage and limited training parallelism due to self-attention, rendering them impractical for real-time disease detection on resource-constrained devices. In this study, we address these hurdles by investigating the integration of the recently introduced retention mechanism into polyp segmentation, introducing RetSeg, an encoder-decoder network featuring multi-head retention blocks. Drawing inspiration from Retentive Networks (RetNet), RetSeg is designed to bridge the gap between precise polyp segme
A new stem-cell-inspired technique allows scientists to grow vast numbers of immune-cell progenitors that can be engineered to hunt cancer and strengthen immune responses。 In animal studies, the cells fought tumors, restored immune function, and showed promise as a durable, off-the-shelf therapy platform
Researchers have discovered that beneficial soil bacteria give plants an unexpected survival advantage in salty soils。 Instead of helping plants keep salt out, the microbes stimulate the production of lignin, a natural compound that strengthens roots and makes plants more resilient。 Greenhouse and field tests showed healthier plants and higher yiel
Director Travis Knight is also the creative mind behind 2016's Oscar-nominated Kubo and the Two Strings
What if some black holes aren’t black holes at all。 A new theoretical study suggests that when a massive star collapses, it might not form a singularity hidden behind an event horizon。 Instead, the collapse could trigger the birth of a tiny new universe inside the dying star
A groundbreaking superconducting X-ray spectrometer has begun operation at BESSY II, giving Europe its first TES-based system and boosting photon detection efficiency by up to 1,000 times。 The advance enables scientists to explore atomically thin materials, nanostructures, and ultra-dilute samples with remarkable speed and sensitivity
Scientists have uncovered a new explanation for what powers Yellowstone and other supervolcanoes。 Instead of a deep plume rising from near Earth’s core, a broad “mantle wind” may push hot rock beneath Yellowstone, generating magma closer to the surface。 This process helps create a massive underground magma network and may explain how supervolcanoes
Physicists have solved a long-standing problem involving systems that appear to violate Newton’s third law, such as bird flocks and bacterial swarms。 By adding carefully designed “imaginary partners” to their models, they can now simulate these complex systems with unprecedented accuracy
A colossal ancient collision may have left some of the Moon’s deepest secrets surprisingly close to future Artemis landing sites。 By recreating the impact that formed the giant South Pole-Aitken basin—the Moon’s largest and oldest crater—scientists found that a low-angle strike from a large, iron-cored object blasted material from deep inside the M
Astronomers may be closing in on a long-standing cosmic mystery: why some of the universe’s biggest galaxies seem to have far fewer stars than expected。 Using NASA- and JAXA-supported XRISM observations of a galaxy called NGC 4151, researchers found strong evidence that supermassive black holes can unleash powerful winds that blow away the raw mate
Astronomers may have witnessed one of the rarest and most dramatic cosmic events ever seen: a long-sought intermediate-mass black hole ripping apart a dense white dwarf star and devouring it。 The Einstein Probe space telescope caught the explosion in its earliest moments, revealing an unusual sequence of intense X-ray flashes unlike anything seen i
A clever nanoscale redesign may have solved one of superconductivity’s biggest problems。 Researchers in Sweden discovered that by subtly sculpting the surface beneath an ultrathin superconducting material, they could make it stay superconducting at higher temperatures and under much stronger magnetic fields
The race to build data centers in space is gaining momentum as AI drives unprecedented demand for computing power。 Orbital facilities could tap into abundant solar energy and avoid many of the environmental challenges faced on Earth。 Yet space remains a harsh and expensive place to operate, with major hurdles including cooling, maintenance, radiati
Humans evolved to pay close attention to danger, but today that instinct is being overwhelmed by an endless supply of bad news from around the world。 Researchers say the answer isn’t to stop following current events—it’s to build healthier habits around how, when, and where we get our news