Abstract Speech enhancement plays a crucial role in improving speech clarity and intelligibility in noisy environments, benefiting applications such as telecommunications, assistive hearing, voice-activated systems, and automatic speech recognition. Although transformer and conformer-based models achieve state-of-the-art performance, their complexity makes real-time deployment on resource-constrained devices impractical. In contrast, convolutional neural networks offer efficient on-device deployment due to their lower computational demands and better hardware compatibility. To bridge the gap between these architectures, knowledge distillation has emerged as a promising model compression technique, allowing knowledge transfer from a complex teacher model to a lightweight student model. However, conventional methods typically assume architectural similarity between teacher and...

Abstract Bi-doped ZnO thin films were deposited on glass substrates using radio frequency magnetron sputtering, with varying concentrations of impurities. The effect of Bi concentration on the structural, electrical, and optical properties of these films was investigated. This study indicates that a doping concentration of 1 at% Bi is optimal for enhancing the crystalline quality and photoelectric characteristics of the ZnO films. At this concentration, the films exhibit desirable attributes such as high visible region transmittance (approximately 80 %), low resistivity of 1.3 × 10−3 Ω.cm, and a high carrier density of 3.8 × 1020 cm−3. Furthermore, the presence of Bi impurity was demonstrated to decrease the residual stress, structural distortion, and carrier mobility of the films by reducing point defects in ZnO lattice. Nguyen P.Y.; Phan...

Abstract Polyp shape is critical for diagnosing colorectal polyps and assessing cancer risk, yet there is limited data on segmenting pedunculated and sessile polyps. This paper introduces PolypDB_INS, a dataset of 4403 images containing 4918 annotated polyps, specifically for sessile and pedunculated polyps. In addition, we propose DYNAFormer, a novel transformer-based model utilizing an anchor mask-guided mechanism that incorporates cross-attention, dynamic query updates, and query denoising for improved object segmentation. Treating each positional query as an anchor mask dynamically updated through decoder layers enhances perceptual information regarding the object’s position, allowing for more precise segmentation of complex structures like polyps....

Abstract This study presents a thorough kinetic mechanism of the OH-initiated reaction of fulvenallene (C7H6), a crucial intermediate in the formation of polycyclic aromatic hydrocarbons (PAHs), over a wide T and P range (T = 200 – 2000 K and P = 0.76 – 76,000 Torr), using different computational tools. The temperature- and pressure-dependent behaviors of the title system were investigated through the utilization of the Master Equation rate model, based on the potential energy surface explored at the CCSD(T)/cc-pVQZ//M06–2X/aug-cc-pVTZ level. The model demonstrates that the addition of OH onto C4 of the 1,3-cyclopentadiene fragment of fulvenallene to create adduct 5‑hydroxy-4-vinylidenecyclopent-2-en-1-yl (IM4) is more prevalent at low T (e.g., T ≤...