Volume-11, Issue-9, September 2025

Abstract

The need for cooling of metal hydride (MH) tanks during the hydrogen absorption process is a well-known fact, especially when it is necessary to achieve full absorption of the alloy with hydrogen within a short time frame. However, effective cooling of the tank is not always possible. The absence of cooling significantly extends the absorption time or reduces the absorption capacity of the alloy, which is crucial for the competitive operation of a metal hydride tank. This article focuses on the effect of the absence of an external cooling system on the change in the absorption capacity of the MH alloy within a defined filling time frame.

Keywords: Metal Hydride, Hydrogen, Absorption, MH alloy.

References

Keywords: Metal Hydride, Hydrogen, Absorption, MH alloy.

Abstract

The kinetics of the interface between metals under contact and external influences (triboloading, rolling, physical and chemical effects of the environment, etc.) has been investigated. It is shown that the kinetics of the evolution of the structure of materials proceeds in accordance with the minimum production of entropy and maximum destruction. The conditions for obtaining a special nonequilibrium state of the crystal lattice of nickel under triboloading are determined. The main regularities of the kinetics of structural transformations, structural-scale levels of deformation and the properties of the interface between metals during contact and external interaction have been determined.

Keywords: principle of least action, energy profitability, nanocrystalline and submicrocrystalline structures invariants; dislocations, stresses, laws of kinetics, entropy, destruction.

References

Keywords: principle of least action, energy profitability, nanocrystalline and submicrocrystalline structures invariants; dislocations, stresses, laws of kinetics, entropy, destruction.

Abstract

With the rapid development of sequence alignment technologies, their role in responding to public health emergencies and epidemic prevention has become increasingly prominent. Compared to traditional linear reference sequences, the pan-genome effectively reduces reference bias and misalignment. However, when facing long reference sequences with abundant repetitive regions, candidate positions may proliferate, thereby compromising alignment efficiency and accuracy. This paper proposes a novel alignment algorithm that integrates elastic degenerate strings with the longest common substring strategy. Single nucleotide polymorphisms (SNPs) are linearly encoded using elastic degenerate symbols, while minimizer indexing is combined with a longest common substring interval–based seed filtering strategy to effectively reduce candidate positions. Experimental validation on simulated datasets demonstrates that the proposed method significantly improves both recall and precision rates, while also achieving high accuracy in fragment localization. Further experiments on real datasets reveal that this method outperforms existing mainstream alignment tools in terms of alignment sensitivity, indicating that the longest common substring–based filtering strategy is well suited for complex genomic regions. Overall, this approach provides an alternative technical pathway for enhancing the accuracy of pan-genome sequence alignment and offers a feasible algorithmic framework for subsequent research on pan-genome alignment and viral mutation analysis.

Keywords: Sequence Alignment; Seed-and-Extend; Elastic Degenerate String; Longest Common Substring.

References

Keywords: Sequence Alignment; Seed-and-Extend; Elastic Degenerate String; Longest Common Substring.

Abstract

Use the 2023 global trade export data of new energy vehicles and fuel vehicles to build a multi-layer network of global new energy vehicles and fuel vehicles (including inter-country trade relationship networks and competition relationships networks), and use this network model to analyze new energy vehicles and fuel vehicles The market competition landscape at the trade level is analyzed, and the application of multi-level exponential random graph model (ERGM) in this field is discussed. The results show that the global trade network of new energy vehicles and fuel vehicles shows an obvious center-periphery structure. Some countries have significantly maintained import relationships with multiple countries in the auto trade, and some countries have shown that they are interested in multiple countries. The propensity of a country to engage in export trade. Further ternary structure analysis revealed the existence of stratification in the trade patterns between new energy vehicles and fuel vehicles. In addition, the network structure analysis of competitive relationships shows that there are direct trade competition relationships between only a few countries, which means that only a few countries play the role of key industrial countries in the automotive trade field.

Keywords: Multilayered Network, Automobile Trade Network, Competition Network, Exponential Random Graph Model.

References

Keywords: Multilayered Network, Automobile Trade Network, Competition Network, Exponential Random Graph Model.

Abstract

The global transition to sustainable energy systems has accelerated interest in green hydrogen production, with solar and electrolysis methods emerging as leading technological pathways. However, systematic comparative evidence across multiple performance dimensions remains limited, creating challenges for evidence-based technology selection decisions.

This study aims to compare the effectiveness of solar and electrolysis methods for green hydrogen generation through systematic review and meta-analysis, examining efficiency, hydrogen yield, and levelized cost of hydrogen (LCOH) across recent scientific literature.

A comprehensive literature search was conducted across multiple databases (Web of Science, Scopus, PubMed, IEEE Xplore, ScienceDirect) for studies published from 2015-2025. Data were extracted and standardized using established conversion factors for efficiency (%), hydrogen yield (kg/day), and cost (USD/kg). Statistical analyses used Mann-Whitney U tests due to assumption violations, with effect sizes calculated using Cohen's conventions.

Forty-seven studies met the inclusion criteria, providing 8-20 studies per outcome measure. Electrolysis methods demonstrated significantly higher efficiency (55.8% vs 19.4%, p = 0.001, large effect r = 0.62) and more consistent, lower costs ($5.09 vs $8.03/kg, p < 0.10, medium effect r = 0.335). No statistically significant difference was found in hydrogen yield despite solar methods showing 14.72 times higher geometric mean, indicating that deployment scale influences yield more than technology choice.

Electrolysis methods currently offer superior consistency and commercial readiness, while solar approaches show potential for breakthrough performance under optimal conditions. The findings suggest that diversified technology portfolios may optimize adoption of green hydrogen across countries, with technology selection depending on specific application requirements, risk tolerance, and local conditions rather than technological superiority.

Keywords: Green hydrogen production, Meta-analysis, Electrolysis technologies, Solar hydrogen systems, Renewable energy comparison.

References

Keywords: Green hydrogen production, Meta-analysis, Electrolysis technologies, Solar hydrogen systems, Renewable energy comparison.

Abstract

With the increasing demands on the efficiency of filtration materials, it is essential to pay attention to the study of pressure losses that occur during the flow of air through these materials. This article presents a device design for measuring pressure losses, followed by experimental verification of selected filtration materials. From the individual measurements, permeability and resistance coefficient are evaluated, which are key for determining the filter's pressure parameters and its performance under real operating conditions.

Keywords: Pressure Losses, Filtration Materials, Permeability, Resistance Coefficient.

References

Keywords: Pressure Losses, Filtration Materials, Permeability, Resistance Coefficient.