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Lung cancer has posed a significant challenge to global health, and related study has been a hot topic in oncology. This article focuses on metabolic reprogramming of lung cancer cells, a process to adapt to energy demands and biosynthetic needs, supporting the proliferation and development of tumor cells. In this study, the latest studies on lung cancer tumor metabolism were reviewed, including the impact of metabolic products and metabolic enzymes on the occurrence and development of lung cancer, as well as the progress in the field of lung cancer treatment targeting relevant metabolic pathways. This provides some promising potential directions into exploring lung cancer tumor metabolism and helps researchers to better understand lung cancer. [ABSTRACT FROM AUTHOR]

Control of exposed crystal facets in nanostructures is scientifically important, but technically challenging due to the inherent difficulty in manipulating surface energy of crystals. Here, laser‐induced periodic surface structures (LIPSS) induced by femtosecond laser is applied to produce periodic subwavelength 1D nanostructures with high index crystal facets on epitaxial CoFe2O4 surfaces, providing an efficient, maskless, cost‐effective "top‐down" method for nanostructure fabrication. Homogenous 1D LIPSSs (1D‐LIPSSs) with a period of 131 ± 15 nm and a depth of 90 ± 5 nm are obtained. The orientation of LIPSS nanostructures is finely controlled by tuning the polarization of fs laser beam, therefore flexibly producing 1D‐LIPSSs along various crystallographic orientations. Gas sensing performance evaluation shows that the fabrication of 1D‐LIPSSs on CoFe2O4 enlarges its surface area and contributes to enhanced gas sensing response. Compared to CoFe2O4 with LIPSSs faceted along {100} orientation, CoFe2O4 with LIPSSs faceted along high‐index {110} facets exhibits further improved gas sensing performance, suggesting the critical role of high‐index crystal facets in promoting surface reactivity and sensing sensitivity. The development of a laser‐based nanostructure fabrication route with high controllability of exposed crystal facets provides a novel solution for high‐density film‐based gas sensing applications. [ABSTRACT FROM AUTHOR]

In order to solve the problem that most of the existing combined cooling, heating and power integrated energy systems only consider the investment cost of the system unit or the system environmental pollution affecting the overall optimization of the system, with the goal of system economy and environmental protection, the construction of gas turbines, gas boilers, The optimization model of the combined cooling, heating and power system of electric refrigerators and other units and the establishment of constraint conditions; according to the requirements of the cooling, heating, and electric loads in the dispatch cycle, as well as the energy supply efficiency of each equipment of the system, the starting and stopping power and other operating parameters are in the interval. Based on the respective data, a multi-energy flow regional integrated energy system economic dispatch optimization operation strategy optimized within the dispatch period is proposed. The results show that the operation strategy can take into account the economy and environmental protection of the system at the same time, make the system operation more optimized.

With the development of multi‐energy technology, the electric‐heat integrated energy system has become an important research direction for multi‐energy joint supply. The dynamic characteristics and energy storage capacity of heat supply network provide potential for joint dispatching of electric heating energy system. Aiming at the problem of electric‐heat joint dispatching, this paper presents an operation optimization model of electric‐heat integrated energy system considering the virtual energy storage characteristics of heat supply network. Firstly, according to the characteristics of transmission delay and user temperature fuzzy, the virtual energy storage characteristics of heat supply network are studied, and a model of the dynamic transfer of energy in the heat system was built. Then, the operation optimization model of the electric‐heat integrated energy system is established to minimize the operation cost. In order to improve the robustness of scheduling optimization results, the Monte Carlo Simulation embedded Quantum Particle Swarm Optimization algorithm is proposed to solve the model. In order to prove the validity of the proposed model, this paper selects a park (a 36 node thermal system) in the northwest region of China as a simulation case. The results show that the operation optimization method considering the virtual energy storage of heat supply network will greatly enhance the complementary potential of the electric‐heat integrated energy system and reduce the operation cost of the system. [ABSTRACT FROM AUTHOR]