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Analyzing the development trend of the scale of new energy vehicles is of great significance to the government regulation,the development direction of vehicle enterprises and the decision-making of the energy department. A new energy vehicle scale prediction method with nonlinear residuals is proposed in this paper. Firstly,the interval prediction method is used to study the uncertainty of economic policy. Secondly,considering the residual of scale prediction,the combined prediction model and support vector regression (SVR) model are used to predict the linear component and nonlinear residual respectively. Finally,the range of new energy vehicles scale in the future is obtained by taking the scale of national new energy vehicles as an example. By comparing different prediction methods,the effectiveness of the proposed method is verified,and the impact of different policy factors on the scale evolution of new energy vehicles is analyzed. The proposed method provides a corresponding reference for later charging facilities and other related planning.

Human physical activity monitoring plays a crucial role in promoting personalized health management. In this work, inspired by an ancient Chinese belt, a belt-type wearable sensor (BWS) based on a triboelectric nanogenerator (TENG) is presented to monitor daily movements and collect the body motion mechanical energy. The developed BWS consists of a soft silicone sheet and systematically connected sensing units made from triboelectric polymer materials including polytetrafluoroethylene (PTFE) and polyamide (PA). A parameter study of the sensing units is firstly conducted to optimize the structure of BWS. The experimental studies indicate that the parameter-optimized BWS unit achieves a maximum output voltage of 47 V and a maximum current of 0.17 μA. A BWS with five sensing units is manufactured to record body movements, and it is able to distinguish different physical activities including stillness, walking, running, jumping, normal breathing, cessation of breathing, and deep breathing. In addition, the developed BWS successfully powers electronic devices including a smartphone, digital watch, and LED lights. We hope this work provides a new strategy for the development of wearable self-powered intelligent devices. [ABSTRACT FROM AUTHOR]

Background: The gut microbiome is composed of various microorganisms such as bacteria, fungi, and protozoa, and constitutes an important part of the human gut. Its composition is closely related to human health and disease. Alzheimer's disease (AD) is a neurodegenerative disease whose underlying mechanism has not been fully elucidated. Recent research has shown that there are significant differences in the gut microbiota between AD patients and healthy individuals. Changes in the composition of gut microbiota may lead to the development of harmful factors associated with AD. In addition, the gut microbiota may play a role in the development and progression of AD through the gut–brain axis. However, the exact nature of this relationship has not been fully understood. Aims: This review will elucidate the types and functions of gut microbiota and their relationship with AD and explore in depth the potential mechanisms of gut microbiota in the occurrence of AD and the prospects for treatment strategies. Methods: Reviewed literature from PubMed and Web of Science using key terminologies related to AD and the gut microbiome. Results: Research indicates that the gut microbiota can directly or indirectly influence the occurrence and progression of AD through metabolites, endotoxins, and the vagus nerve. Discussion: This review discusses the future challenges and research directions regarding the gut microbiota in AD. Conclusion: While many unresolved issues remain regarding the gut microbiota and AD, the feasibility and immense potential of treating AD by modulating the gut microbiota are evident. [ABSTRACT FROM AUTHOR]

The premise of electric vehicles (EVs) participating in the frequency regulation (FR) of power systems is to satisfy the charging demands of users. In view of problems such as the uncertainty of EV users' departure time and the increase in power supply pressure due to disordered charging in the frequency regulation process of EV clusters, a secondary frequency regulation control strategy with EVs considering user travel uncertainty is proposed. Firstly, EV charging history was analyzed, a reliability parameter was introduced to describe the user travel uncertainty, and an individual EV controllable domain model based on reliability correction was constructed. Then, EV clusters were grouped according to charging urgency and state of charge (SOC), and the controllable capacity of EV clusters was determined. Finally, EV frequency regulation capability parameters and charging urgency parameters were defined to determine the EV frequency regulation priority list, combined with the EV state grouping and priority list, and the EV cluster frequency control strategy was proposed. The simulation results show that the proposed strategy can satisfy the charging demands of users under uncertain travel conditions, reduce the power supply pressure of the power system caused by EVs entering the forced charging state, and effectively suppress frequency deviation. [ABSTRACT FROM AUTHOR]

The possibility of controlling fragment branching in the dissociation and ionization channels of HD+ is theoretically explored by synthesized intense fields using 790 nm and 395 nm pulses. In the control scheme, the branching ratios of the fragments to different channels (H + D+, D + H+ and H+ + D+) are manipulated by regulating the relative phase and intensity between the 790 nm and 395 nm pulses. Altering the relative phase can induce constructive or destructive interference between the net two photon process and the direct one photon process, and the highest modulation reaches 80% between the two dissociation fragments (H + D+ and D + H+). The high selectivity of the ionization fragment (H+ + D+) is achieved by tuning the relative intensity, since the ionization rate is not only related to the internuclear distance, but also to the instantaneous intensity of field strength. The results demonstrate that the synthesized ω–2ω laser pulse can provide an efficient control over the strong-field fragments of HD+. [ABSTRACT FROM AUTHOR]