We analyze four principal parts of “terminal manufacturers- telecom operators- sales channels- consumers” based on the experience of the end-product from the flow from terminal manufacturers to consumers. As for the four principal parts that end-products must passed through from production to sales, we do researches on three aspects which include mobile terminal acquisition, channel management and mobile terminal marketing. Specific to the strong correlation between terminals and telecom operators' business for the 3G/4G era, corresponding management strategies are provided based on summarizing the experiences and characteristics of foreign and domestic telecom operators' 3G business development process.
Objective To explore the efficacy and tolerability of paliperidone ER on schizophrenia.Methods 100 patients with schizophrenia received 8 weeks,Paliperidone ER treatment.PANSS,CGI,TESS,PSP were assessed and blood routine,biochemistry and ECG were tested periodically.Results All of the subjects had significant difference among baseline PANSS,CGI and PSP after treatment(P0.05).The common side effects were insomnia,headache and acathisia.Conclusion Paliperidone ER had good efficacy and tolerability on the treatment of schizophrenia.
CsI in 2 M ZnSO 4 aqueous electrolyte facilitates the formation of Cs 2 TeI 6 perovskite phase for Te electrode, effectively suppressing Te 4+ hydrolysis and sustaining fast redox kinetics in multi-electron transfer Zn–Te aqueous batteries.
Abstract Four-dimensional (4D) printing, an innovative advancement emerging from additive manufacturing, introduces a transformative approach to creating dynamic artifacts. This cutting-edge technology employs shape memory polymers as its core material, enabling the production of items that evolve and adapt over time in a pre-programmed manner. Central to this process is fused deposition modeling, a technique pivotal in realizing the self-assembly of functional structures that exhibit time-dependent behaviors. The essence of 4D printing lies in its ability to program artifacts for specific time-dependent deformations, a feature that demands meticulous control to avert any potential motion interference. This study delves into the intricate dynamics of a 4D-printed bilayer actuator, scrutinizing the interplay of various parameters that govern its time-dependent behavior. This study investigates the effects of parameters in terms of design parameter (the ratio of thickness) and printing parameters (printing speed, printing temperature and printing height) of a 4D-printed bilayer actuator. The results show that (i) The ratio of thickness emerges as a simple yet effective design principle crucial for controlling the speed of the actuator’s time-dependent self-folding mechanism. This insight opens up avenues for precision in designing 4D printed objects. (ii) The increase in printing speed leads to a corresponding increase in the speed of time-dependent deformation. In contrast, augmenting the printing temperature, layer height, or the overall height of the actuator yields a slowing effect on this time-dependent deformation process. (iii) The ratio of the two layers within the bilayer actuator influences the speed of time-dependent deformation in an opposing manner compared to other parameters. Building upon these findings, the study introduces a response surface model that intricately relates all the printing parameters to the time-dependent deformation behavior of the actuators. The model provides a comprehensive framework for understanding and manipulating the time-dependent deformation behavior of structures in 4D printing. By judiciously designing the bilayer actuators and optimizing the printing parameters, it becomes feasible to fabricate 3D printed structures that respond swiftly to thermal stimuli and exhibit a controlled, sequential, time-dependent shape-changing ability. These programmed time-dependent actuators play a crucial role in shaping the future of 4D printing technology, enabling the creation of structures that can automatically fold into predefined shapes in a time-controlled manner. These time-dependent functional capabilities mark an advancement in additive manufacturing, where adaptive dynamic materials can provide unprecedented lightweight, highly flexible solutions that offer new directions for innovative applications in fields as diverse as biomedical devices and aerospace engineering.
Plantar pressure monitoring is one of several health monitoring methods that can be used to effectively treat and prevent foot diseases. In this paper, we designed an insole for plantar pressure and gait analysis. The first step in our approach was to collect plantar pressure data, which was then transmitted to a computer through Bluetooth for classification and recognition purposes. By analyzing the pressure data, we were able to obtain various gait information. Five different gaits were collected, including walking, standing still, sitting still, forefoot landing, and heel landing, and the data was used for curve fitting and linear analysis. The experimental results demonstrated that the sole pressure data could be accurately collected using our insole-gait analysis tool, and that the gait analysis results were consistent with actual gait patterns.
We propose a novel method that solves global optimization problems in two steps: (1) perform a (exponential) power-$N$ transformation to the not-necessarily differentiable objective function $f$ to obtain $f_N$, and (2) optimize the Gaussian-smoothed $f_N$ with stochastic approximations. Under mild conditions on $f$, for any $\delta>0$, we prove that with a sufficiently large power $N_\delta$, this method converges to a solution in the $\delta$-neighborhood of $f$'s global maximum point. The convergence rate is $O(d^2\sigma^4\varepsilon^{-2})$, which is faster than both the standard and single-loop homotopy methods. Extensive experiments show that our method requires significantly fewer iterations than other compared algorithms to produce a high-quality solution.
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