Students' Attitudes Towards Implementation of Hawgent Dynamic Mathematics Software on Curved Surface

Along with the development of the world of science, it is getting faster ICT in education. The objectives to be achieved in this study are to find out how the student's response to the utilization of the Hawgent Dynamic Mathematics application on the material of the curved side of the learning room in the teaching and learning process took place in the classroom. The main object in this study was the 9th-grade junior high school student who was 96 students at Gusui Middle School in Guangxi Zhuang Autonomous Region. Data collection in this study was a questionnaire containing indicators that have to measure the student's response to the use of learning media using Hawgent Dynamic Mathematics and the primary tool processing research data, namely Ms. Excel and SPSS statistical. The study results were related to the student's response that students agreed, were happy, and were assisted by the Hawgent Dynamic application. The perception or student response results concluded that learning using Hawgent Dynamic software could help in mathematics. It was easier and satisfying for students to understand the material about building a curved side space. However, the use of Hawgent software was only limited to trials, so it was recommended that it be able to use and utilize this software for other discussions on mathematics lessons

Disconnection between plant–microbial nutrient limitation across forest biomes

11 páginas.- 7 figuras.- 1 tabla.- 41 referencias.- Additional supporting information can be found online in the Supporting Information section at the end of this article..- Read the free Plain Language Summary for this article on the Journal blog.Nitrogen (N) and phosphorus (P) are essential elements limiting plant–microbial growth in forest ecosystems. However, whether the pattern of plant–microbe nutrient limitation is consistent across forest biomes and the associated potential mechanisms remain largely unclear, limiting us to better understand the biogeochemical processes under future climate change. Here, we investigated patterns of plant–microbial N/P limitation in forests across a wide environmental gradient and biomes in China to explore the divergence of plant–microbial N/P limitation and the driving mechanisms. We revealed that 42.6% of the N/P limitation between plant–microbial communities was disconnected. Patterns in plant–microbial N/P limitations were consistent only for 17.7% of N and 39.7% of P. Geospatially, the inconsistency was more evident at mid-latitudes, where plants were mainly N limited and microbes were mainly P limited. Furthermore, our findings were consistent with the ecological stoichiometry of plants and microbes themselves and their requirements. Whereas plant N and P limitation was more strongly responsive to meteorological conditions and atmospheric deposition, that of microbes was more strongly responsive to soil chemistry, which exacerbated the plant–microbe N and P limitation divergence. Our work identified an important disconnection between plant and microbial N/P limitation, which should be incorporated into future Earth System Model to better predict forest biomes–climate change feedback. Read the free Plain Language Summary for this article on the Journal blog. © 2023 The Authors. Functional Ecology © 2023 British Ecological SocietyNational Natural Science Foundation of China, Grant/Award Number: 42207107; Catalan Government Grant, Grant/Award Number: SGR2017-1005; Fundación Ramón Areces grant, Grant/Award Number: CIVP20A6621; National Key Research and Development Program of China, Grant/Award Number: 2021YFD1901205; Open Fund of Key Laboratory of Agro-Ecological Processes in Subtropical Region, Chinese Academy of Sciences, Grant/Award Number: ISA2021101; Spanish Government, Grant/Award Number: PID2019-110521GB-I00 and PID2020-115770RB-I00; Strategic Priority Research Program of Chinese Academy of Sciences, Grant/Award Number: XDB40020202Peer reviewe

Learning Disentangled Representation with Pairwise Independence

Unsupervised disentangled representation learning is one of the foundational methods to learn interpretable factors in the data. Existing learning methods are based on the assumption that disentangled factors are mutually independent and incorporate this assumption with the evidence lower bound. However, our experiment reveals that factors in real-world data tend to be pairwise independent. Accordingly, we propose a new method based on a pairwise independence assumption to learn the disentangled representation. The evidence lower bound implicitly encourages mutual independence of latent codes so it is too strong for our assumption. Therefore, we introduce another lower bound in our method. Extensive experiments show that our proposed method gives competitive performances as compared with other state-of-the-art methods

The Coupling Effects of Surface Plasmon Polaritons and Magnetic Dipole Resonances in Metamaterials

Abstract We numerically investigate the coupling effects of surface plasmon polaritons (SPPs) and magnetic dipole (MD) resonances in metamaterials, which are composed of an Ag nanodisk array and a SiO2 spacer on an Ag substrate. The periodicity of the Ag nanodisk array leads to the excitation of SPPs at the surface of the Ag substrate. The near-field plasmon interactions between individual Ag nanodisks and the Ag substrate form MD resonances. When the excitation wavelengths of SPPs are tuned to approach the position of MD resonances by changing the array period of Ag nanodisks, SPPs and MD resonances are coupled together into two hybridized modes, whose positions can be well predicted by a coupling model of two oscillators. In the strong coupling regime of SPPs and MD resonances, the hybridized modes exhibit an obvious anti-crossing, resulting into an interesting phenomenon of Rabi splitting. Moreover, the magnetic fields under the Ag nanodisks are greatly enhanced, which may find some potential applications, such as magnetic nonlinearity

FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization

Text effect transfer aims at learning the mapping between text visual effects while maintaining the text content. While remarkably successful, existing methods have limited robustness in font transfer and weak generalization ability to unseen effects. To address these problems, we propose FET-GAN, a novel end-to-end framework to implement visual effects transfer with font variation among multiple text effects domains. Our model achieves remarkable results both on arbitrary effect transfer between texts and effect translation from text to graphic objects. By a few-shot fine-tuning strategy, FET-GAN can generalize the transfer of the pre-trained model to the new effect. Through extensive experimental validation and comparison, our model advances the state-of-the-art in the text effect transfer task. Besides, we have collected a font dataset including 100 fonts of more than 800 Chinese and English characters. Based on this dataset, we demonstrated the generalization ability of our model by the application that complements the font library automatically by few-shot samples. This application is significant in reducing the labor cost for the font designer

Balancing Excellent Performance and High Thermal Stability in a Dinitropyrazole Fused 1,2,3,4-Tetrazine

The key to successfully designing high-performance and insensitive energetic compounds for practical applications is through adjusting the molecular organization including both fuel and oxidizer. Now a superior hydrogen-free 5/6/5 fused ring energetic material, 1,2,9,10-tetranitrodipyrazolo­[1,5-d:5′,1′-f]­[1,2,3,4]­tetrazine (<b>6</b>) obtained from 4,4′,5,5′-tetranitro-2<i>H</i>,2′<i>H</i>-3,3′-bipyrazole (<b>4</b>) by N-amination and N-azo coupling reactions is described. The structures of <b>5</b> and <b>6</b> were confirmed by single crystal X-ray diffraction measurements. Compound <b>6</b> has a remarkable room temperature experimental density of 1.955 g cm^–3 and shows excellent detonation performance. In addition, it has a high decomposition temperature of 233 °C. These fascinating properties, which are comparable to those of CL-20, make it very attractive in high performance applications

Synthesis and characterization of pyrazole- and imidazole- derived energetic compounds featuring ortho azido/nitro groups

Two novel nitrogen-rich heterocyclic energetic compounds, 5-amino-3-azido-4-nitro-1H-pyrazole (3) and 5,5′-diazido-4,4′-dinitro-1H,1′H-2,2′-biimidazole(6), featuring ortho azido/nitro groups were designed and synthesized by reactions of diazonium salts with sodium azide. In addition, treatment of diazonium salts with a mixture of hydrazine monohydrate and sodium nitrite in acetic acid also gave the same products 3 and 6 in high yields. Both structures of the products were characterized by 1H NMR, 13C NMR, IR and elemental analysis, as well as single-crystal X-ray diffraction. Furthermore, their physicochemical and energetic properties were studied