We present HunyuanVideo 1.5, a lightweight yet powerful open-source video generation model that achieves state-of-the-art visual quality and motion coherence with only 8.3 billion parameters, enabling efficient inference on consumer-grade GPUs. This achievement is built upon several key components, including meticulous data curation, an advanced DiT architecture featuring selective and sliding tile attention (SSTA), enhanced bilingual understanding through glyph-aware text encoding, progressive pre-training and post-training, and an efficient video super-resolution network. Leveraging these designs, we developed a unified framework capable of high-quality text-to-video and image-to-video generation across multiple durations and resolutions.Extensive experiments demonstrate that this compact and proficient model establishes a new state-of-the-art among open-source video generation models. By releasing the code and model weights, we provide the community with a high-performance foundation that lowers the barrier to video creation and research, making advanced video generation accessible to a broader audience. All open-source assets are publicly available at https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5.

Spiking neural networks (SNNs) have attracted attention due to their biological plausibility and the potential for low-energy applications on neuromorphic hardware. Two mainstream approaches are commonly used to obtain SNNs, i.e., ANN-to-SNN conversion methods, and Directly-trained-SNN methods. However, the former achieve excellent performance at the cost of a large number of time steps (i.e., latency), while the latter exhibit lower latency but suffers from suboptimal performance. To tackle the performance-latency trade-off, we propose Self-Architectural Knowledge Distillation (SAKD), an intuitive and effective method for SNNs leveraging Knowledge Distillation (KD). We adopt a bilevel teacher-student training strategy in SAKD, i.e., level-1 involves directly transferring same-architectural pre-trained ANN weights to SNNs, and level-2 encourages the SNNs to mimic ANN's behavior, considering both final responses and intermediate features aspects. Learning with informative supervision signals fostered by labels and ANNs, our SAKD achieves new state-of-the-art (SOTA) performance with a few time steps on widely-used classification benchmark datasets. On ImageNet-1K, with only 4 time steps, our Spiking-ResNet34 model attains a Top-1 accuracy of 70.04%, outperforming the previous same-architectural SOTA methods. Notably, our SEW-ResNet152 model reaches a Top-1 accuracy of 77.30% on ImageNet-1K, setting a new SOTA benchmark for SNNs. Furthermore, we apply our SAKD to various dense prediction downstream tasks, such as object detection and semantic segmentation, demonstrating strong generalization ability and superior performance. In conclusion, our proposed SAKD framework presents a promising approach for achieving both high performance and low latency in SNNs, potentially paving the way for future advancements in the field.

A new 1,2,3-triazole incorporated diacrylate monomer is designed for free radical cyclopolymerization through the formation of 11-membered rings. NMR analysis on the cyclopolymers including (1)H, (13)C, DEPT-135, and (1)H-(13)C HMQC spectra support a high degree of cyclization. GPC profiles of the obtained cyclopolymers show unimodal distributions indicative of no chain branching reactions.

Mesoporous zeolite (silicalite-1, ZSM-5, TS-1) single crystals have been successfully synthesized by adding soluble starch or sodium carboxymethyl cellulose (CMC) to a conventional zeolite synthesis system. The obtained samples were characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), transmission electron microscopy (TEM), nitrogen sorption analysis, 27Al magic angle spinning nuclear magnetic resonance (27Al MAS NMR), temperature-programmed desorption of ammonia (NH3-TPD) and ultraviolet–visible spectroscopy (UV–vis). The SEM images clearly show that all zeolite crystals possess the similar morphology with particle size of about 300nm, the TEM images reveal that irregular intracrystal pores are randomly distributed in the whole crystal. 27Al MAS NMR spectra indicate that nearly all of the Al atoms are in tetrahedral co-ordination in ZSM-5, UV–vis spectra confirm that nearly all of titanium atoms are incorporated into the framework of TS-1. The catalytic activity of meso-ZSM-5 in acetalization of cyclohexanone and meso-TS-1 in hydroxylation of phenol was also studied. The synthesis method reported in this paper is cost-effective and environmental friendly, can be easily expended to prepare other hierarchical structured zeolites.

Activated carbon-based carbon/carbonaceous composites with different surface functional groups were synthesized by a hydrothermal carbonization-deposition method in which commercial activated carbon was exposed to a gaseous mixture of furfural/water or furfural/acrylic acid/water at 180 °C to form the carbon/carbonaceous composites. The products were characterized by transmission electron microscopy, Fourier transform infrared spectroscopy, and nitrogen sorption analysis. The results indicate that the surface area and pore volume of the composite can be tailored by tuning the hydrothermal treatment time. More importantly, different functional groups can be anchored onto the composite, and composites with surface hydroxyl or carboxylic or amine groups were prepared.

Nowadays, more and more students are learning through the Internet and a new way of learning which we name as integrated e-learning is emerging. This paper first discusses the definitions of e-learning and integrated e-learning, then compares traditional learning, e-learning and integrated e-learning. By analysis, the paper finds integrated e-learning have more advantages over the other two. At the end of the paper, it studies the infrastructure for integrated e-learning and discusses the probability of applying integrated e-learning in colleges. With the application of integrated e-learning in colleges, students will learn more effectively.

Mesostructured Ce0.6Zr0.4O2 solid solutions were synthesized by coprecipitation combined with evaporation-induced self-assembly process. The obtained materials were characterized by X-ray diffractometer (XRD), Raman, transmission electron microscopy (TEM), N2 sorption, and hydrogen temperature programmed reduction (H2-TPR). The results showed that the solid solutions consisted of uniform nanocrystals, which piled homogeneous mesopores of about 4 nm. Furthermore, different surfactants had little influence on the mesoporous structures. All these samples exhibited high thermal stability.

Monodispersed SBA-15 rods with different lengths (from hexagonal platelets to short rods, and to longer rods) have been synthesized by using triblock copolymer P123 as a structure-directing agent and glycerol as a cosolvent. Our studies showed that glycerol is indispensable for tuning the length of SBA-15 rods. And, in the presence of glycerol, the length of these SBA-15 rods was reversely proportional to the concentration of the acid (HCl) in the synthetic mixture. Based on our characterizations (XRD, SEM, TEM, N2-sorption, and dynamic light scattering (DLS) analyses) and the literature results, a possible glycerol-induced growth mechanism was proposed for the formation of these SBA-15 rods. Furthermore, an adsorption of lysozyme on these SBA-15 materials was investigated and the results showed that they all exhibited rapid lysozyme immobilization and high adsorption capacity (the highest up to 907mgg−1 for capsulelike SBA-15 synthesized at MHCl=2.0M).

Nanosized multilayered silica vesicles have been synthesized through a dual-template way by using cetyltrimethylammonium bromide (CTAB) and C3F7O(CFCF3CF2O)(2)CFCF3 CONH(CH2)(3)N+(C2H5)(2)CH3I-(FC-4) as the cotemplates and tetraethyl orthosilicate (TEOS) as the siliceous precursor. According to transmission electron microscopy, X-ray diffraction, and N-2 sorption analysis, the formation of the multilayered silica vesicles passed through the route of the normal mesoporous silica spheres (MCM-41) to irregular hexagonal structures with cavities inside MCM-41 spheres and finally to the small-sized multilayered siliceous vesicles with the increase of FC-4/CTAB molar ratio. The possible mechanism of the two kinds of micelles cooperation was discussed. The synthesized silica vesicle spheres were 30-40 nm with a few shells that may facilitate the transport of the molecules. Furthermore, the vesicular structure was also obtained by aging at 150 degrees C, which maintained high surface area even after hydrothermal treatment in boiling water for 48 h. The higher hydrothermal stability, high surface area, and pore volume would benefit the loading of catalysts and increase the adsorption capacity.

Recently, extensive works have been devoted to the morphology control of mesoporous materials with respect to their use in various applications. In this paper, we used two kinds of mesoporous silica, SBA-15 rods and spheres as hard templates to synthesize morphology-controllable mesoporous metal oxides. By carefully controlling the loading of metal precursors in the mesopores of the hard template, mesoporous Co3O4 and CeO2 with different morphologies, such as micrometer-sized rod, hollow sphere, saucer-like sphere, and solid sphere were conveniently obtained. The structural properties of these materials were characterized by XRD, BET, SEM and TEM. In addition, it is found that the differences observed in the textural properties of the two mesoporous metal oxides nanocasted from the same template can be attributed to the properties of metal precursors and the interaction between metal oxide and SiO2. Thus-obtained mesoporous metal oxides with such special morphologies may have a potential application in the field of environmental catalytic oxidation.

MFI nanozeolite microspheres with intercrystal mesopores were synthesized by a steam-assisted crystallization–aggregation method, starting with close packed amorphous SiO2 or Al-containing SiO2 colloidal nanoparticles. The obtained samples with different Si/Al ratios were characterized by X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy (SEM)/ transmission electron microscopy (TEM) observations, nitrogen adsorption analyses and 27Al magic angle spinning nuclear magnetic resonance (NMR). The SEM images clearly showed that the mean size of nanozeolite microspheres was ca. 0.5–3μm, agglomerated from zeolite nanocrystals and varied with different Si/Al ratios. N2 sorption analyses as well as TEM micrographs indicated the dual-porosity of samples, one is from intracrystal micropores, and the other is from intercrystal mesopores. 27Al MAS-NMR suggested nearly all of the Al atoms were located at tetrahedral-coordinated sites in the framework. Furthermore, nanozeolite microspheres with various Si/Al ratios, even Si/Al equal to five, could be prepared by this facile route and less structure-directing agent was needed compared to conventional approach. This simple method could be easily extended to prepare other hierarchically structured zeolites.

In this paper, highly ordered, extremely hydrothermal stable SBA-15/Al-SBA-15 has been synthesized using mixed surfactants (triblock copolymer, P123, and semifluorinated surfactant, FSO-100) as a template at a high aging temperature (140−180 °C) with the assistance of NaCl. Thus - synthesized SBA-15 maintained the well-resolved SXRD patterns and high surface area, large pore size, and high pore volume after being hydrothermally treated at 100 °C for 300 h or 600 °C for 6 h, whereas less-ordered SBA-15 was synthesized at such high temperatures without the addition of NaCl. Furthermore, highly hydrothermal stable Al-SBA-15 has been synthesized with tetrahedral Al totally incorporated in the framework.

Homogeneous irradiation of amorphous materials with a high energy heavy ion-beam results in visible growth of the sample dimensions perpendicular to and shrinkage of the sample dimension parallel to the ion beam. The quantitative details of this effect are remarkably similar although the investigated materials belong to completely different classes of amorphous solids. A simple relation is derived which explains this universal behavior.