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The Global LNG Market: Development Factors, Competitive Strategies, and Prospects for Russia
Get PDFThis article analyzes the key factors influencing the development of the liquefied natural gas (LNG) industry in three countries—Australia, the United States, and Iran—and their potential application to the strategic development of the Russian LNG sector. The study encompasses economic, technological, and geopolitical aspects that determine the competitiveness of LNG projects, and identifies the main barriers and drivers of growth. Particular attention is paid to the impact of sanctions, investment policies, and market conditions on export opportunities. Based on the analysis of the experiences of these three countries, three main models of LNG industry development are identified: regulated balancing (Australia), the liberal market model (U.S.) and limited isolation (Iran). These models provide insight into how various factors—such as domestic energy policy, geopolitical risks, technological dependence, and competition—shape the development trajectories of the industry. The article also presents a scenario analysis of the future development of the Russian LNG sector, considering global trends and strategic challenges. Recommendations are proposed for risk management and strengthening Russia's position in the global LNG market, including diversification of partnerships, advancements in indigenous technological capabilities, and targeted investments in small-scale projects
A Study on the Practice of English Major Reading Instruction Based on the Production-Oriented Approach
Get PDFReading courses in college English major programs have been identified by the students themselves as one of the major components necessary to obtain language knowledge and acquire academic literacy. They serve as communication channels. Nevertheless, traditional reading teaching has predominantly been input and comprehension-based, thus the vast majority of reading activities have been only the effective reading practice rather than the full-fledged integration of reading with output. The present work is a study within the theoretical framework of the Production-Oriented Approach (POA) aimed at discovering the practical ways of a successful POA implementation into English major reading teaching.Teaching experiment lasting a semester was performed on two parallel sophomores classes in a Chinese university. The experiment involved the use of student output from activities such as academic summary writing, debate, and text rewriting at the pre-reading, while-reading, and post-reading stages. Data were gathered through questionnaires, classroom observations, comparisons of pre- and post-tests, and student learning journals, and were analyzed from both quantitative and qualitative perspectives.The results show that along with students reading comprehension skills and academic output abilities,POA also effectively impacted students’ critical thinking and classroom engagement. The results imply that the POA can act as a catalyst for a full learning cycle of “input–processing–output” among English majors, therefore shedding light on the college English reading instruction reform and offering some new ideas and practical references
From Monologue to Symphony: A Collaborative Framework for Fusion of ARCS-V Motivation Model and Multi-Agent Systems
Get PDFIn light of recent changes to engineering education, one of the primary issues facing vocational universities is how to effectively encourage and maintain the learning motivation of students. Lack of interest, low self-esteem, and weak willpower are common factors contributing to a lack of systematic motivation among students, especially in the technology-intensive and practical courses. Most existing instructional systems are limited in their ability to foster collaborative social learning and higher-order cognitive skills because of their “monologue” interaction paradigm and dependence on single-agent assistance. To address this challenge, this paper explores how to construct a collaborative teaching framework that combines the ARCS-V motivation model with an advanced multi-agent system. The framework seeks to establish an ecosystem that can methodically stimulate and sustain students’ attention, relevance, confidence, satisfaction, and volition by establishing multi-role agents like experts, mentors, and peers. Quasi-experimental research method was adopted to compare the effect of multi-agent learning environment with traditional teaching mode. The results show that multi-agent environment can significantly improve students’ learning motivation, and their academic performance in high-order cognitive dimensions such as reasoning and application is better, which effectively promotes deep learning cognitive level. This collaborative framework leverages advanced AI to establish a theoretical framework for methodically addressing learning motivation challenges and developing the advanced skills required by future applied professionals
Research on the Construction of the "Value-added" Index of Moral Education Evaluation in the Retake Class
Get PDFWith the deepening of educational evaluation reform, the construction of "value-added" indicators for moral education evaluation in repeat classes has become a key issue in improving the quality of education. This study systematically reviewed the theories of moral education evaluation, value-added evaluation, and indicator construction to address the unique psychological pressure, self-awareness, and behavioral motivation of students in the repeating class. It revealed the limitations of the traditional moral education evaluation system in terms of single e valuation dimensions, static implementation methods, and utilitarian application of results. By integrating dyna mic tracking models, baseline calibration techniques, and amulti-party participation mechanism, this study constructed a "value-added" moral education evaluation index system that includes four primary dimensions of ideological and moral qualities, psychological qualities, behavioral habits, and social adaptability, as well as twelve secondary observation points. The empirical results show that the system exhibits high stability in reliability and validity testing, effectively enhancing the scientificity and effectiveness of moral education evaluation in repeat classes. It provides educators with empirical evidence for accurately identifying bottlenecks in students moral education development and promotes the paradigm shift of moral education evaluation from "layered screening" to "precise empowerment"
A Cross-Cultural Scientific Bridge: A Study on the Establishment and International Influence of the European Branch of the Chinese Chemical Society in Paris
Get PDFFounded in Paris in 1907, the European Branch of the Chinese Chemical Society was the first professional chemical organization established by Chinese people and the first organization with the nature of a scientific society. Under its influence, chemical organizations such as the Guangdong Branch of the Chinese Chemical Society emerged successively in China, promoting the development of the domestic chemical community. The European Branch played a significant role in the early institutionalization of chemistry in China
The Symbolism, Rituals, and Contemporary Changes of the Kalachakra Mandala---Based on Fieldwork in Sku Bum Monastery and Other Locations
Get PDFBased on a study of the etymology, structural connotations, and religious tenets of the Tantric Buddhist mandala, this article uses the Kalachakra mandala as a case study to analyse its fuction as a visual representation of the unity of the inner and outer universes, its complex symbolic system, and its core functiom in Tantric rituals. Through fieldwork conducted at Sku Bum Monastery, Rong Bo Monastery, and Shangwutun Village in Qinghai Province, the article further explores the cultural transformation of the mandala in contemporary society. On one hand, the colored sand mandala has evolved from a momentary ritual product to a medium for the transmission of religious, artistic, and cultural heritage, reflecting its modern adaptation. On the other hand, the mandala thangka has increasingly moved from the monastic world to the secular world, expanding its signification from a vehicle for meditation and visualization to a more complex and creative modern artistic and cultural symbol
Design of Textured NiCrAlY-Cu Coating for Life Extension and Its Tribological Properties in Wide Temperature Range
Get PDFSoft metal self-lubricating coatings exhibit excellent high-temperature performance but suffer from insufficient lubrication at medium-low temperatures and vertical energy dissipation issues under high-temperature conditions. To address these challenges, NiCrAlY-Cu coatings were fabricated via plasma spraying, with laser surface texturing technology applied to create circular textures with varying parameters. Through analyzing the composition and morphological evolution of the coatings during heat treatment and wide-temperature-range friction processes, this study reveals the high-temperature diffusion behavior of copper (Cu) in textured coatings and the lubrication mechanism across a broad temperature range. Results demonstrate that the textured surface promotes transverse solid-state diffusion of Cu, achieving a dispersed state at 800°C comparable to untextured coatings at 1000°C, thereby facilitating lubricating film formation and improving lubrication performance. The friction coefficient of textured coatings at 800°C ranges from 0.11 to 0.23, with NCZ25 coatings exhibiting the lowest value (0.11). However, low interlayer shear strength and significant plastic deformation lead to a fluid-like lubrication state, resulting in reduced wear resistance. NCZ25 coatings show lower friction coefficients and wear rates than untextured coatings within the RT-600°C range, primarily attributed to laser quenching-induced grain refinement, enhanced hardness, and the textured surface's ability to collect abrasive particles and mitigate abrasive wear
Marine Benthic Communities and Their Effect on Coral Reef Resilience
Get PDFCoral reefs are subject to recurrent thermal stress from the El Niño – Southern Oscillation, yet post-disturbance recovery and resistance to stress vary widely. This study attempts to test whether variation in benthic communities in terms of diversity and beneficial/non-beneficial taxa will alter coral resistance (bleaching-period loss) and recovery (24-month regrowth) on Mo’orea, French Polynesia. In terms of datasets, this study will use MCR LTER quadrat records from 2005 to the present day across six island-wide sites subdivided into multiple habitats. In terms of the benthos, two indicators were used/derived: first, Shannon’s diversity index, and also a mechanistic Helper Index that weighs non-coral taxa based on their relationship with coral reefs and whether or not they help polyp settlement. Ultimately, recovery and loss responses were generally not explained by benthic or nutrient terms, suggesting the need for additional covariates, a more complex model, and a larger data set across more sites to avoid pseudoreplication. Overall, there appears to be little correlation between benthic indicators and reef resilience, though further investigation may be needed
A Ground-Air Collaborative System Based on Digital Twin: Improving Urban Transportation Efficiency
Get PDFWith the development of the low-altitude economy, it is essential to establish a coordinated urban transportation system integrating ground and air resources. Improving urban comprehensive transportation efficiency through technology has become an important topic of urban governance and sustainable development. The development of digital twin technology provides a new technical path for the solution of this problem. As a product of the deep integration of the new generation of information technology and urban governance, Digital twin technology shows great potential for application. This paper will focus on the key links in the ground-air coordination system, Explore the application path and technical support system of digital twin platform in the field of ground-air collaboration, and promote the transformation of transportation system from traditional empirical management to integrated, intelligent and refined direction
An AI Fusion Model Based on Molecular Docking and Large Language Models—— Used to Predict the Interaction Between Traditional Chinese Medicine and Disease
Get PDFTraditional Chinese Medicine (TCM) is a profound and sophisticated medical system. However, the complexity of multi-component interactions and limited computational methods pose significant challenges for optimizing TCM formulations and developing new drugs. This study aims to develop an integrated model that combines molecular docking technology with large language models to achieve high-throughput prediction of interactions between TCM herbs and diseases. We first collected active components from 500 TCM herbs in the TCMSP database and obtained 3D structural information on 100 disease-related targets from the RCSB PDB database. Using OpenBabel to convert SMILES strings into 3D molecular structures, we performed molecular docking calculations with AutoDock Vina. The study defined effective binding as interactions with binding energies ≤-7.0 kcal/mol, yielding 12,408 valid herb-target pairs. On the basis of these data, we trained a Transformer-based neural network model for predicting new TCM–disease interactions. The experimental results demonstrated that the integrated model achieved excellent performance, with an AUC of 0.984 and an AUPR of 0.982 on the test set, significantly outperforming standalone molecular docking or machine learning methods. This proposed integrated model can substantially accelerate modernization research in TCM, providing a powerful tool for elucidating TCM mechanisms and advancing drug development