https://rep.bntu.by/handle/data/151569 2026-04-05T19:22:19Z https://rep.bntu.by/handle/data/163714 Literature review on elevator industry upgrade: integrated development of safety, intelligence, and services Zhang, Wei; Zhang, Taoyuan; Su, Dongjian; Zheng, Jiageng This review systematically examines the integrated development and cutting-edge advancements within the elevator industry across three core domains: safety, intelligence, and services. Faced with a Chinese market encompassing over ten million installed elevator units and a structural shift from "incremental expansion" to "stock optimization," industry upgrade has become an inevitable trend. In the safety domain, research focuses on proactive technologies such as bio-inspired 3D-printed energy-absorbing materials, Prognostics and Health Management (PHM), and seismic risk analysis. In the realm of intelligence, technologies including agent-based group control scheduling, digital twins, and IoT platforms are driving a fundamental transformation of operation and maintenance models from "passive response" to "active early-warning." Within the service sector, the industrial value chain is extending from manufacturing towards "manufacturing + services," catalyzing new models like full-lifecycle management, ondemand maintenance, and policy-driven regulatory optimization. The review indicates that multidisciplinary crossover and deep industry-academia-research integration are pivotal for steering the elevator industry towards safer, more intelligent, and greener development. 2025-01-01T00:00:00Z https://rep.bntu.by/handle/data/163715 Digital transformation of supply chains in Chinese industrial enterprises Yakushenko, K. V.; Ke, Sun Against the backdrop of accelerating global industrial chain restructuring and digital transformation, the digitization of supply chains in Chinese industrial enterprises has become critically important. Based on this, the paper constructs an organizational-economic mechanism model with a "driving layer-core layer-supporting layer" and perorms an empirical test through case studies of Chinese enterprises. The results indicate that such a mechanism greatly improves the operational efficiency of supply chains, the capability for collaboration, and the ability to innovate. It provides practical recommendations to enterprises and policymakers to facilitate transformation. 2025-01-01T00:00:00Z https://rep.bntu.by/handle/data/163713 Research on the intelligent transformation for small and medium-sized manufacturing enterprises in Zhejiang province Zhang, Taoyuan; Lin, Chenlei; Qiu, Jier; Su, Dongjian; Zhang, Wei; Zheng, Jiageng This paper examines the current status and identifies four core dilemmas of intelligent transformation of SMEs in Zhejiang. Drawing on domestic and international advanced experiences, the study proposes targeted countermeasures to provide theoretical support and practical references for promoting the intelligent transformation of Zhejiang’s SMEs and advancing the construction of a global advanced manufacturing base and a strong digital economy province. 2025-01-01T00:00:00Z https://rep.bntu.by/handle/data/163711 A systematic analysis of artificial intelligence technology in the alpha arena cryptocurrency trading competition Efremo, A.; Yu, Guo. The rise of Large Language Models (LLMs) represents not only a revolution in the field of Natural Language Processing (NLP) but also has a disruptive impact on the financial sector, which heavily relies on information processing and decision-making optimization. Traditional quantitative trading strategies often fail when faced with shifting market regimes and nonlinear dynamics. In contrast, LLMs, with their powerful capabilities in semantic understanding, logical reasoning, and complex pattern recognition, offer the potential to build a new generation of adaptive trading systems. \The participating models in the competition are: Claude 4.5 Sonnet, DeepSeek V3.1 Chat, Gemini 2.5 Pro, GPT 5, Grok 4, and Qwen 3 Max. 2025-01-01T00:00:00Z