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This study presents an in-depth analysis of the energy-saving bias in green technology innovation across 30 provinces in manufacturing from 2011 to 2021, utilizing a novel Malmquist-Luenberger multidimensional decomposition index based on the directional distance function. The research reveals that green innovation, characterized predominantly by energy conservation, plays a pivotal role in driving China's green total factor productivity. The impetus for innovation in energy saving is found to surpass that of emission reduction in manufacturing enterprises. Energy-saving biased green technology innovation, originating in economically advanced provinces, has gradually expanded to the northern region, and it encompassed the majority of provinces in China. This type of innovation serves as the primary driver of regional green innovation. The study also identifies a conspicuous spatial aggregation effect of energy-saving biased green technology innovation, linked intrinsically to the degree of industrial aggregation and the spatial correlation effect of innovation.

This article conducts numerical simulation calculations on the heat dissipation characteristics of an air-cooled radiator. The results show that under natural heat dissipation conditions, the maximum temperature of air-cooled radiators with flat heat dissipation covers decreases by 9.6% compared to radiators without heat dissipation covers, and the maximum temperature of air-cooled radiators with array raised heat dissipation covers decreases by 9.9%; Under forced air cooling conditions, the maximum temperature of an air-cooled radiator with a flat heat dissipation cover decreases by 12.7%, while the maximum temperature of an air-cooled radiator with an array raised heat dissipation cover decreases by 13.3%.

"Production Planning and Control" is one of the major courses in Industrial Engineering, and its cross-cutting, adaptable, and practical characteristics require that the course should well integrate technology and management to meet the evolution of modern manufacturing industry. Through the study of the traditional teaching effectiveness of "Production Planning and Control", this paper pointed out the issues, including insufficient interaction, unappealing content, and lack of systematization of the knowledge. By introducing teaching reform approaches for the course, it proposes to combine various teaching methods, rearrange the teaching material, systematically plan the practical teaching links, and assess the learning effect through a diversified evaluation system, in order to promote students' motivation and learning enthusiasm, meanwhile improve the teaching effect of the course to meet the requirement of modern manufacturing industry for talents.

Some experimental phenomena in theoretical mechanics are not suited for realization in an ordinary laboratory. Virtual experiments in theoretical mechanics can be realized using Maple, a scientific computing software. Although most previous studies have only drawn static images of the trajectories of objects, this thesis investigates the use of Maple’s animation capabilities to achieve dynamic simulations of theoretical mechanics experiments. The benefits of dynamic simulation are that the trajectory of the object over time can be seen and the motion characteristics of the object, such as the direction of approach of the incoming track, can be fully understood. The dynamic simulation of theoretical mechanics experiments will fully mobilize students’ interest in learning, transform abstract physical models into visual physical images and deepen their understanding of physical phenomena. In addition, virtual experiments enable students to train their programming skills and improve their scientific research literacy.