Three more leaves of the Sanskrit – Uighur bilingual Dharmaśarīrasūtra in Brāhmī script

Three leaves written in Brāhmī script and kept in the Dunhuang Research Academy turn out to be parts of a bilingual text of Dharmaśarīrasūtra in Sanskrit and Uighur. After analysing several versions of Dharmaśarīrasūtra, it can be inferred that these three fragments belong to the Northern Brāhmī recensions which were circulated along the Northern Silk Road and are different from the Southern Brāhmī recensions popular along the Southern Route, such as the Khotanese version. This paper attempts to transcribe these fragments and make a thorough research on Dharmaśarīrasūtra, taking five relevant Chinese versions into account

A Mode-Sum Prescription for Vacuum Polarization in Even Dimensions

We present a mode-sum regularization prescription for computing the vacuum polarization of a scalar field in static spherically-symmetric black hole spacetimes in even dimensions. This is the first general and systematic approach to regularized vacuum polarization in higher even dimensions, building upon a previous scheme we developed for odd dimensions. Things are more complicated here since the even-dimensional propagator possesses logarithmic singularities which must be regularized. However, in spite of this complication, the regularization parameters can be computed in closed form in arbitrary even dimensions and for arbitrary metric function $f(r)$. As an explicit example of our method, we show plots for vacuum polarization of a massless scalar field in the Schwarzschild-Tangherlini spacetime for even $d=4,...,10$. However, the method presented applies straightforwardly to massive fields or to nonvacuum spacetimes.Comment: arXiv admin note: text overlap with arXiv:1609.0816

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer

Traditional channel-wise pruning methods by reducing network channels struggle to effectively prune efficient CNN models with depth-wise convolutional layers and certain efficient modules, such as popular inverted residual blocks. Prior depth pruning methods by reducing network depths are not suitable for pruning some efficient models due to the existence of some normalization layers. Moreover, finetuning subnet by directly removing activation layers would corrupt the original model weights, hindering the pruned model from achieving high performance. To address these issues, we propose a novel depth pruning method for efficient models. Our approach proposes a novel block pruning strategy and progressive training method for the subnet. Additionally, we extend our pruning method to vision transformer models. Experimental results demonstrate that our method consistently outperforms existing depth pruning methods across various pruning configurations. We obtained three pruned ConvNeXtV1 models with our method applying on ConvNeXtV1, which surpass most SOTA efficient models with comparable inference performance. Our method also achieves state-of-the-art pruning performance on the vision transformer model

Research on the adsorption-diffusion mechanism of hydrogen sulfide based on Monte Carlo simulation

In order to clarify the microscopic dynamics mechanism of hydrogen sulfide (H2S) adsorption and diffusion in coal, and to reveal the influence mechanism of different temperatures and pressures on the molecular adsorption and diffusion characteristics of coal adsorbed H2S, based on the Giant Canonical Monte Carlo (GCMC), Molecular Dynamics (MD), and Density Functional Theory (DFT) methods, the adsorption-diffusion characteristics of H2S in the gas-fertilized coal macromolecule model at temperatures ranging from 273.15 K to 313.15 K and pressures ranging from 1 to 1 000 kPa were investigated using Material Studio software. The results showed that the saturated adsorption of H2S decreased from 38.34 mL/g to 31.85 mL/g at an increase in temperature from 273.15 K to 313.15 K, which is a 16.93% decrease. The effect of temperature on adsorption is most sensitive when the pressure is 1 kPa. The most significant interaction energy increased from −39.391 kJ/mol to −34.301 kJ/mol when the pressure was increased from 1 kPa to 1 000 kPa at a temperature of 293.15 K. With the pressure increased, the most significant interaction energy increased first rapidly and then slowly. During the adsorption of H2S, the isocratic heat of adsorption of H2S was in the range of 36.63−41.43 kJ/mol, which is a physical adsorption. The isocratic heat of adsorption showed a negative exponential change with increasing adsorption volume. The Gibbs free energy ΔG of H2S was from −3.57 to −24.57 kJ/mol, and the entropy of adsorption ΔS was from −0.126 to −0.194 8 kJ/(mol·K). The absolute values of ΔG and ΔS linearly decreased with increasing adsorption amount, and the adsorption spontaneity of H2S and the chaos of the system decreased. The interaction energy of H2S with gas-fertilized coal was ranged from −492.47 to −3 390.95 kJ/mol, which was dominated by van der Waals’ energy accounting for 58.67% of the total energy, and supplemented by electrostatic energy accounting for 41.33%. As the adsorption capacity increased, the absolute value of interaction energy increased, and the changes in adsorption capacity and interaction energy were consistent. H2S interacted most strongly with the carboxyl group, followed by the hydroxyl group. Double layer adsorption of H2S occurred around —OH, —COOH, —C=O. The temperature was increased from 273.15 K to 313.15 K. The diffusion coefficient of H2S molecules was increased from 1.066×10−10 m2/s to 2.025×10−10 m2/s, and the activation energy of diffusion was 11.206 kJ/mol. An increase in temperature can lead to the opening of previously closed pores and channels, increasing the connectivity of cracks. As the temperature rises, it increases the average free path of H2S molecules, enhancing their diffusion ability. The limiting heat of adsorption of H2S was 42.898 kJ/mol. The H2S concentration distribution showed a multi-peak structure, and H2S was distributed in a laminar structure in the gas-fertilized coal macromolecule model. H2S had hydrogen bonding with —OH, —COOH, and —C=O reactive groups on the coal body, and there was a weak chemisorption of H2S in the early stage of adsorption

Les fouilles archéologiques du secteur nord de Mogao

Jinzhang Peng, Moretti Costantino. Les fouilles archéologiques du secteur nord de Mogao. In: Arts asiatiques, tome 67, 2012. pp. 107-120

Improved Chaotic Quantum-Behaved Particle Swarm Optimization Algorithm for Fuzzy Neural Network and Its Application

Traditional fuzzy neural network has certain drawbacks such as long computation time, slow convergence rate, and premature convergence. To overcome these disadvantages, an improved quantum-behaved particle swarm optimization algorithm is proposed as the learning algorithm. In this algorithm, a new chaotic search is introduced, and benchmark function experiments prove it outperforms the other five existing algorithms. Finally, the proposed algorithm is presented as the learning algorithm for Takagi–Sugeno fuzzy neural network to form a new neural network, and it is utilized in the water quality evaluation of Dongjiang Lake of Hunan province. Simulation results demonstrated the effectiveness of the new neural network

Effect of limit equilibrium zone energy on the volume of coal and gas outburst

In order to study the effect of the limit equilibrium zone energy in front of the heading face on the volume of coal and gas outburst, the concept of coal-gas mixed matrix was put forward, then the width of the limit equilibrium zone was calculated, and thus the energy transformation mathematical model of the limit equilibrium zone was established through theoretical analysis and mathematical derivation. In addition, the energy density calculation formula of the limit equilibrium zone was derived and then the intensity prediction formula of coal and gas outburst was derived combining elastic energy of coal body, expansion energy of gas, crushing work and throwing work of coal body. The results showed that the energy in the limit equilibrium zone has a certain effect on the volume of coal and gas outburst and the intensity prediction formula has high accuracy in Yangou Coal Mine. These conclusions have certain guiding significance for energy calculation and intensity prediction of coal and gas outburst

Modeling different discrete memristive sine maps and its parameter identification

Compared with the continuous chaotic system designed by analog circuit, chaotic maps realized by the digital circuit has the characteristics of simple logic and easy implementation, so it has attracted more attention in engineering applications. How to construct the chaotic map with simple structure and strong complexity behaviors has always been a research hotspot. Recently, the concept of discrete memristor receives growing discussion. Existing studies have found that introducing it into classical chaotic map can enhance its chaotic characteristics. In this paper, three discrete memristor mathematical models are summarized. These models are introduced into the classical sine map, and three new two-dimensional discrete memristive sine maps are constructed. Dynamic analysis demonstrate the effect of the discrete memristor in improving the chaos characteristics. The proposed new systems not only expand the scope of chaos, but also greatly improve the Lyapunov exponent value, and appear hyperchaotic behavior and coexisting attractors. Through the parameter identification technology, the proposed discrete memristive chaotic maps are compared with several existing chaotic maps. The identification simulations show that the proposed chaotic maps have lower identification rate, so their security is higher