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Abstract [Objective] Comparison of resource allocation strategies in terms of growth,reproduction and defense under different nutrient conditions between two exotic plants of the Salvia tiliifolia and Salvia splendens, to understand the invasion mechanism of S. tiliifolia. [Methods] By pot experiments, two exotic plants of Salvia were chosen as experimental materials. Three nutrient gradients [control (0 g), low fertilizer (2 g), and high fertilizer (4 g)] were established. Indexes of growth, reproduction, physical defense, chemical defense, and content of nutrient substances were measured. [Results] (1) The biomass, nutrient content, and chemical defense capability of flowers in both species followed the order: High fertilization > low fertilization > control, while the physical and chemical defense capabilities of leaves followed the opposite order: Control > low fertilization > high fertilization. (2) Under the same condition, S. tiliifolia exhibited higher plant height, leaf number, flower number, and total biomass compared to S. splendens, allocating 43%-52% of its total biomass to sexual reproduction. The physical and chemical defense indices of leaves were also higher in S. tiliifolia than in S. splendens, but the chemical defense indices of flowers and nutrient content were lower. The leaf of S. tiliifolia showed higher content of chemical defense substances than flower, and the S. splendens was the opposite. [Conclusion] Under conditions of abundant resources, both species reduce investment in leaf defense and increase investment in growth and reproduction. S. tiliifolia focuses on leaf defense, while S. splendens focuses on flower defense.

Energy is the lifeblood of the national economy. At present, China’s energy development situation is severe, and its external dependence on crude oil and natural gas is relatively high. Considering the national conditions of coal, strengthening the clean and efficient utilization of coal is strategically significant; specifically, the clean and efficient coal transformation is an important approach. This study summarized the status quo of clean and efficient coal transformation, and analyzed the high-end, diversified, low-carbon, and intelligent development trend of the industry as well as the technology development trends that include coal transformation to clean fuels, coal transformation to bulk and special chemicals, and pollutant control in coal transformation. Moreover, the study analyzed the development challenges regarding water resources, carbon emissions, product competitiveness, and supporting policies, and proposed a development idea that is led by planning, demonstration, and innovation. The research suggests that the strategic position of clean and efficient coal transformation in the energy system should be clarified, the national coal-to-oil-and-gas strategic reserve mechanism should be established, financial credit and energy statistics policy support should be strengthened, and the scientific and technological innovation ability should be improved by building research and development platforms.

Diabetic nephropathy (DN) is a common diabetic complication. Long noncoding RNAs (lncRNAs) have been identified as essential regulators in DN progression. This study is devoted to the research of lncRNA-myocardial infarction-associated transcript (MIAT) in DN.

China has a vast territory, so the energy resource endowments of different regions in the country are significantly varied. Promoting regional energy revolution based on local conditions is an effective way to break the bottlenecks that restrict China’s energy development. This study analyzes the current situation of energy development from the aspects of energy production, consumption, and distribution, and investigates the differences regarding energy consumption intensity and the driving force for energy consumption growth in the core regions (i.e., the Beijing–Tianjin–Hebei region, Yangtze River Delta, Pearl River Delta, old industrial bases, the Central China, energy-rich areas, and Southwest China). The medium- and long-term energy development trends and strategic focuses of these regions by 2035 are analyzed. Specifically, the Beijing–Tianjin–Hebei region should focus on the coordinated development of energy, economy, and environment; an energy system with regional linkage should be formed and optimized in the Yangtze River Delta; the Pearl River Delta can strive to build itself as a clean energy production, storage, and transportation base; economic transformation should be promoted in the old industrial bases through value increment and diversification of energy resources; Central China should establish itself as an integrated energy hub; the energy-rich areas should build itself as a green and sustainable energy security base; and clean energy consumption should be encouraged in Southwest China. To coordinate energy development in various regions, China should fully consider the significant differences in local conditions, promote social development and ecologicalprotection with the regional energy revolution, and encourage regional cooperation in energy.

Beijing–Tianjin–Hebei coordinated development is a major national strategy of China. This study first analyzes the evolution process of energy production, consumption, and structure proportion in Beijing, Tianjin, and Hebei, indicating that the overall energy supply in this region is less than consumption; although the region is rich in renewable energy resources, its energy consumption is mainly fossil energies and the overall energy efficiency requires further improvement. Since the Beijing–Tianjin–Hebei coordinated development strategy was proposed six years ago, the ecological environment in this region has continuously improved, but the situation remains grim. As energy is the power source and blood of economic and social development and it is also closely related to the environment, the promotion of energy revolution becomes imperative. To promote energy revolution within the Beijing–Tianjin–Hebei region, energy efficiency should be further improved to control the total amount of energy consumption; the energy supply structure should be optimized to provide a solid material foundation for the coordinated development; the energy technology revolution should be promoted to create a new driving force for economic growth; the existing energy system should be revolutionized to improve the market environment for economic and social development; and the rural energy revolution should be accelerated to strengthen the prevention of point source pollution in rural areas.

The purpose of supply chain scheduling is to be able to find an optimized plan and strategy so as to optimize the benefits of the entire supply chain. This paper proposes a method for processing tightly coordinated supply chain task scheduling problems based on an improved Double Deep Timing Differential Neural Network (DDTDN) algorithm. The Semi-Markov Decision Process (SMDP) modeling of the state characteristics and action characteristics of the supply chain scheduling problem is realized, so as to transform the task scheduling problem of the tightly coordinated supply chain into a multi-stage decision problem. The deep neural network model can help fit the state value function, and the unique reinforcement learning online evaluation mechanism can realize the selection of the best action strategy combination, and optimize it under the condition of only the stator processing time. Finally, the optimal action strategy group is obtained.

BACKGROUND: The relationship between insulin resistance-related indices and the outcomes of acute ischemic stroke (AIS) is still unclear. This study aimed to explore the association between the Apo B/Apo A-1 ratio and the Prognostic Nutritional Index (PNI) with the 90-day outcomes of AIS. METHODS: A total of 2011 AIS patients with a 3-month follow-up were enrolled in the present study from January 2017 to July 2021. Multivariate logistic regression modeling was performed to analyze the relationship between Apo B/Apo A-1 ratio, PNI, and AIS poor outcomes. The mediating effect between the three was analyzed using the Bootstrap method with PNI as the mediating variable. RESULTS: Among the 2011 included AIS patients, 20.3% had a poor outcome. Patients were categorized according to quartiles of Apo B/Apo A-1 ratio and PNI. Multivariate logistic regression revealed that the fourth Apo B/Apo A-1 ratio quartile had poorer outcomes than the first quartile (OR 1.75,95%CL 1.21-2.53, P=0.003), and the fourth PNI quartile exhibited a lower risk of poor outcomes than the first quartile (OR 0.40, 95%CL 0.27-0.61, P