Study on the Competency Model Construction for Industrial Designers under Artificial Intelligence Technology

As artificial intelligence (AI) technology is gradually put into application in the design industry, higher requirements have been imposed on the competence of industrial designers in the market. This study explored the application of AI technology in the design field and its future development direction on the basis of literature research in order to figure out the competency factors of industrial designers under the background of AI technology. Expert research and interview were used to obtain expert reliability, followed by a questionnaire survey of designers and data analysis to verify the effectiveness of the competency model, based on which the competency model of industrial designers in the AI context has been finalized. The result shows that it is necessary for designers to be capable of integrating and reserving cross-domain knowledge due to high demands on the degree of recognition to innovation ability, knowledge, and professional capability, and on the innovation of both design thinking and design method. Under the background of AI, industrial designers are required to understand the basic background knowledge of AI, and to have the ability to finish information sorting and provide assistance in designing applying AI software, and the ability to cooperate with AI engineers. This competency model will not only promote the development of AI technology in the industrial design trade by imposing new demands on industrial designers but also point out the direction for the cultivation of design talents in institutions of higher learning

Study on the Cooling Capacity of Different Quenchant

AbstractHeat treatment is one method to improve mechanical properties of metal, but each heat treatment method has its advantages and disadvantages, therefore, different requirements regarding size, shape, and properties with respect to different heat treatment processes should be considered. The traditional liquid quenchant are clear water and quench oil. Gas quenching is a relatively new process with several important advantages, such as minimal environmental impact, clean products, and ability to control the cooling locally and temporally for best product properties. To meet the high cooling rates required for quenching, the cooling gas must flow at very high velocities, but still the cooling capacity of gas is weakness. In order to increase the cooling capacity of gas, the spray water is added during gas quenching. In this paper, the GCr15 steel is as the research object, the cooling capacity of clear water, quench oil, nitrogen and nitrogen-spray water are studied through comparison of temperature difference and cooling velocity of the specimen

Issues and Path Selection of Artificial Intelligence Design Talents Training in applied Undergraduate Universities in Smart City

The widespread popularity and application of artificial intelligence technology requires technological innovation, of which talent training is an important content. The lack of professional talents has greatly restricted the development of the artificial intelligence industry to some extent. How to train industrial design talents with comprehensive qualities of artificial intelligence design talents in universities has now become the most important topic. Carry out university teacher training based on the industrial design profession, carry out the collaborative education innovation model based on university-enterprise-government , innovative ability and awareness training curriculum system, and use artificial intelligence talent training goals and curriculum system for the construction and practice of goals. Analyze the current plight of artificial intelligence design talent training in applied general universities, clarify the current types and status quo of artificial intelligence design talents, and propose specific ways to solve the current artificial intelligence design talent training. There are few relevant talents for artificial intelligence design professionals who can combine their ideas and technology in actual production. The lack of design talents has greatly limited the development of their industries to some extent. The current application-oriented undergraduates Colleges and universities should explore specific paths for the training of artificial intelligence design talents, and the construction and practice of related curriculum systems should also be gradually revised during practical exploration, so as to realize innovative education through educational innovation

Dissimilatory nitrate/nitrite reduction processes in river sediments across climatic gradient : influences of biogeochemical controls and climatic temperature regime

imbalance-p paper contact with [email protected] nitrate/nitrite reduction processes play an important role in controlling nitrogen loading in river environments. However, the relative importance of climatic temperature regime and biogeochemical controls to dissimilatory nitrate/nitrite reduction processes remains unclear. We used nitrogen isotope tracer approach to investigate geographical variabilities of denitrification, anaerobic ammonium oxidation (anammox), and dissimilatory nitrate reduction to ammonium (DNRA) in river sediments from temperate to tropical climates of China. Denitrification, anammox, and DNRA varied greatly across the climatic gradient, with potential rates of 1.47-25.7, 0.54-3.4, and 0.15-7.17 nmol N g⁻¹ h⁻¹, respectively. Mean measured rates throughout the sampling sites were 9.73 nmol N g⁻¹1 h⁻¹ for denitrification, 1.29 nmol N g⁻¹ h⁻¹ for anammox, and 1.61 nmol N g⁻¹ h⁻¹ for DNRA. Denitrification and DNRA rates increased significantly from temperate to tropical climates, while no significantly spatial difference was observed for anammox rates along the climatic gradient. Mean annual temperature, total organic carbon, dissolved organic carbon, pH, NH₄+, NO₃-, C/N, Fe²+, and functional genes were the crucial factors affecting denitrification, anammox, and DNRA. High dissolved organic carbon and NO₃- availability determined nitrogen removal capacity in river sediments. Mean annual temperature was the most important factor explaining the geographical variances of denitrification and DNRA, while the critical predictor of anammox variance was sediment pH along the climatic gradient. Our results highlight that biogeochemical controls and climatic temperature regime are important coregulators affecting the geographical variabilities of dissimilatory nitrate/nitrite reduction processes in river sediments at the continental-scale variation

Thermalization Effect in semiconductor Si, and metallic silicide NiSi2, CoSi2 by using Non-Adiabatic Molecular Dynamics Approach

Recently, cold source transistor (CSFET) with steep-slope subthreshold swing (SS) < 60 mV/decade has been proposed to overcome Boltzmann tyranny in its ballistic regime. However the scattering, especially by inelastic scattering may lead serious SS degradation through cold carrier thermalization. In this study, the electronic excitation/relaxation dynamic process is investigated theoretically by virtue of the state-of-the-art nonadiabatic molecular dynamics (NAMD) method, i.e., the mixed quantum-classical NAMD. The mixed quantum-classical NAMD considers both carrier decoherence and detailed balance to calculate the cold carrier thermalization and transfer processes in semiconductor Si, and metallic silicide (NiSi2 and CoSi2). The dependence of the thermalization factor, relaxation time, scattering time and scattering rate on energy level are obtained. The thermalization of carrier gradually increases from low energy to high energy. Partially thermalization from the ground state to reach the thermionic current window is realized with sub-100 $fs$ time scale. Fully thermalization to entail energy region depends on the barrier height sensitively, i.e., the scattering rate decreases exponentially as the energy of the out-scattering state increase. The scattering rate of NiSi2 and CoSi2 is 2 orders of magnitude higher than that of Si, arising from their higher density of states than that in Silicon This study can shed light on the material design for low power tunneling FET as well as the emerging CSFET.Comment: 14 pages, 17 figre

GLP-2 decreases food intake in the dorsomedial hypothalamic nucleus (DMH) through Exendin (9-39) in male Sprague-Dawley (SD) rats

Glucagon-like peptide 2 (GLP-2), a member of Glucagon peptide family involved in regulating energy metabolism, can be produced and secreted by preproglucagonergic (PPG) neurons in the brain. GLP-2 reduces food intake but at which brain sites GLP-2 exerts its feeding-suppress effects are still unclear. In this study, we used the stereological microinjection technique and behavioral test to examine the functions of locally delivered GLP-2 into DMH on feeding behavior. We compared effects of different concentration of GLP-2 on the food intake behavior in free-feeding rats and fasted-refeeding rats. We found that GLP-2 inhibited food intake in fasted rats after a short-term intervention in a dose-dependent manner. Importantly, the effects of locally delivered GLP-2 can be blocked by specific GLP-1 receptor antagonist Exendin(9-39), but not the melanocortin-4 receptor antagonist SHU9119, indicating the involvement of specificity of GLP-2 signaling in regulating the feeding behavior. Taken together, our data revealed that GLP-2 peptide pharmacologically inhibited food intake in DMH and this effect could be blocked functionally by Exendin(9-39)