Wei Zhang

Due to the outbreak of the Coronavirus Disease-2019 pandemic and consequent confinement measures, young people are vulnerable to mental health problems. The current study compared a group of 440 young adolescents and a group of 330 emerging adults to investigate the extent to which perceived social support and psychological capital were differentially associated with mental health problems. Participants were asked to report their current psychosocial adaptation status during the COVID-19 pandemic, and data were collected via online questionnaires during a relatively severe period of COVID-19 in China. Results of the multi-group path analysis indicated that the effect of perceived social support on mental health problems was mediated by PsyCap for young adolescents, but not for emerging adults. These results were discussed with respect to the mechanism of how social support and PsyCap serve as protective mental health factors for youth in the context of the COVID-19 pandemic.

In Max Scheler’s non-formal ethics of value, “good” is a value but by no means a “non-moral value”; rather, it is a second-order “moral value,” always appearing in the realization of first-order non-moral values. According to the relevant notion of the a priori of phenomenology, whilst all the non-moral values are given in “value cognition,” the moral value of good is self-given in “moral cognition”. The reflections and answers offered by Scheler’s non-formal ethics of value on “What is good?” constitute the foundation of a phenomenological “meta-ethics”.

Over the past few decades, a considerable amount of interest has been observed for improving the overall road transportation across the globe, primarily to enhance the safety of vehicular passengers and vulnerable road pedestrians. Vehicular Ad hoc NetworksVehicular Ad hoc Networks are anticipated to play a critical role in smart cities and Internet of Things domain. Instead, it is expected that a new paradigm of Internet of VehiclesInternet of Vehicles will soon become an important component of the IoT. Also, since the connected vehicles primarily disseminate safety-critical information, it is imperative to have an extremely secure and trusted network so that critical data information could be traversed with extreme reliability and authenticity. Unlike conventional wired networks, vehicular networks are highly dynamic, distributed and of open nature, and are, therefore, susceptible to various attacks such as replayReplay, spoofingSpoofing, eavesdroppingEavesdropping, man-in-the-middleMan-in-the-middle, distributed denial-of-serviceDenial-of-service, blackhole, grayhole, SybilSybil and other malware attacksMalware attacks. To address the same, numerous mechanisms have been proposed in the literature, mainly relying on traditional cryptographyCryptography techniques. Nevertheless, cryptography-based solutions are not effective in VANETs since nodes in this network are highly dynamic and distributed across the network. Moreover, the network infrastructure cannot be guaranteed permanently, and cryptographic solutions may also get compromised due to insider attacks in a network. This chapter aims to provide an in-depth investigation of a diverse range of security attacks challenging the actual realisation of vehicular networks. In contrast to conventional security solutions, it brings forth the need for trust management for securing vehicular networks for ensuring reliability, authenticity and relevance by revoking both malicious and selfish nodes. It also briefly highlights the need for trust models and illustrates the characteristics of data-oriented trust models, entity-oriented trust models and hybrid trust models. Furthermore, since the conventional networks are being transformed via the promising yet emerging notion of software-defined networking, a brief discussion is presented so as to illustrate how a reconfigurable, reprogrammable and agile infrastructure can help in guaranteeing more secure vehicular networking platforms which are indispensable for futuristic Intelligent Transportation SystemIntelligent Transportation System applications and services.

Anxiety is one of the most important affective factors affecting college students' foreign language learning. Especially in the Internet age, new teaching ideas and methods bring new load and anxiety to students' psychology. Taking students who attend a college English online course learning as the research object, this paper analyzes the general situation and professional skills of the students' psychological anxiety under the network environment by using the method of investigation and data analysis. It conceives six methods to reduce the students' psychological anxiety according to the reason analysis and summarizes the more effective ways with data mining of another questionnaire. It points out that teachers can advocate the mode of group learning and peer cooperation, strengthen the timeliness and diversity of tests, increase the richness of extracurricular activities, and increase teachers' and students' quality of online teaching and learning to reduce the anxiety of students' foreign language learning in an online teaching environment.

Urban rail transit can improve a city’s accessibility. However, high construction and operation costs restrict the development of urban rail transit. Value capture recoups the additional value that the investments of urban rail transit confer to local land and is considered to be an effective measure to alleviate this financial problem. Understanding the land value uplift effects of urban rail transit is essential for understanding value capture. This study applied a Space-P model of urban rail transit network based on complex network theory and demonstrated the influence of urban rail transit network characteristics on residential and commercial land prices. The model was tested with eight metropolises in China, using the 2003 to 2022 timeframe as the context. The results showed a significant positive correlation between the number of nodes and the land prices, the average clustering coefficient was highly positively correlated with the land prices, and there was a significant negative correlation between the average path length and the land prices. This study provides theoretical support for value capture, is beneficial for urban rail transit planning, and supports improvements in the development quality of urban rail transit networks.

Adolescents' community violence exposure has been demonstrated with a range of behavioral and psychological problems, but the processes that explain these correlations are not clear. In our 2017 study, the mediating role of deviant peer affiliation in the relationship between CVE and externalizing problem behaviors has been confirmed. However, the moderating effect of parental factors is still unclear. Therefore, a new group was adopted in this study to further explore the moderating effect of parental knowledge based on also confirming the mediating effect of deviant peer affiliation. Stratified-cluster sampling was used to recruit 1,797 volunteers who completed questionnaires on CVE, deviant peer affiliation, parental knowledge, and externalizing problem behaviors. The results of the structural equation modeling were: on the basis of our previous research, we further analyzed the mediating role of deviant peer affiliation, and the mediated association was moderated by parental knowledge. Especially when the school climate is added as a covariate, the moderating effect of parental knowledge has changed, that is, the positive association between CVE and externalizing problem behaviors was much stronger for adolescents who reported lower levels of parental knowledge than for those who reported higher levels of parental knowledge. The results support the assumptions of social learning theory and have implications for interventions of community violence.

This paper presents an active fault-tolerant control strategy for quadrotor helicopters to simultaneously accommodate sensor faults and external disturbances. Unlike most of the existing fault diagnosis and fault-tolerant control schemes for quadrotor helicopters, the proposed fault diagnosis scheme is able to estimate sensor faults while eliminating the effect of external disturbances. Moreover, the proposed fault-tolerant control scheme is capable to eliminate the adverse effect of external disturbances as well by designing a disturbance observer to effectively estimate the unknown external disturbances and integrating with the designed integral sliding-mode controller. In this case, the continuous operation of the quadrotor helicopter is ensured while avoiding the unexpected control chattering. In addition, the stability of the closed-loop system is theoretically proved. Finally, the effectiveness and advantages of the proposed scheme are validated and demonstrated through comparative numerical simulations of the quadrotor helicopter under different faulty and uncertain scenarios.

Important strides have been made toward understanding the relationship between self-efficacy and life satisfaction. However, existing studies have largely focused on work and academic domains, leaving self-efficacy in the finance domain less frequently investigated. The present study applied the self-efficacy construct to the finance domain, namely “financial self-efficacy”, and tested the sequential mediating roles of high standards tendency and investment satisfaction in the relationship between FSE and general life satisfaction. A total of 323 employees from finance-related businesses completed anonymous questionnaires regarding FSE, high standards tendency, investment satisfaction, and general life satisfaction. Results indicated that FSE influenced general life satisfaction through investment satisfaction, and sequentially through high standards tendency and investment satisfaction. These results provide contributions to the current literature on life satisfaction, and positive psychology literature by shedding light on the roles of high standards tendency and investment satisfaction in the relation between FSE and general life satisfaction.

Conditional automated driving [level 3, Society of Automotive Engineers ] requires drivers to take over the vehicle when an automated system’s failure occurs or is about to leave its operational design domain. Two-stage warning systems, which warn drivers in two steps, can be a promising method to guide drivers in preparing for the takeover. However, the proper time intervals of two-stage warning systems that allow drivers with different personalities to prepare for the takeover remain unclear. This study explored the optimal time intervals of two-stage warning systems with insights into the drivers’ neuroticism personality. A total of 32 drivers were distributed into two groups according to their self-ratings in neuroticism. Each driver experienced takeover under the two-stage warning systems with four time intervals. The takeover performance and subjective opinions for time intervals and situation awareness were recorded. The results showed that drivers in the 5-s time interval had the best takeover preparation. Furthermore, both the 5- and 7-s time intervals resulted in more rapid takeover reactions and were rated more appropriate and useful than the 3- and 9-s time intervals. In terms of personality, drivers with high neuroticism tended to take over immediately after receiving takeover messages, at the cost of SA deficiency. In contrast, drivers with low neuroticism responded safely by judging whether they gained enough SA. We concluded that the 5-s time interval was optimal for drivers in two-stage takeover warning systems. When considering personality, drivers with low neuroticism had no strict requirements for time intervals. However, the extended time intervals were favorable for drivers with high neuroticism in developing SA. The present findings have reference implications for designers and engineers to set the time intervals of two-stage warning systems according to the neuroticism personality of drivers.

Hydromechanical continuously variable transmission is capable of bearing large torque and has wide transmission range, which is suitable for high-power tractors. Dynamic characteristics could influence the tractor life, especially in a high-power tractor. Wet clutch is the crucial component in the HMCVT, which could smooth and soft power transmission. Therefore, it is important to study the dynamic characteristics and implement the wet clutch test of HMCVT. In this paper, AMESim is used to establish virtual models of gearbox, pump-controlled hydraulic motor system, and shifting hydraulic system. Then, a simulation study of tractor operation under working condition is carried out. The internal and external meshing forces of the planetary row are analyzed. Finally, the wet clutch engagement process of HMCVT in the high-power tractor is tested to verify the oil pressure. The simulation results show that the values of internal and external meshing force become larger as the throttle opening increases. At the moment of shifting change, the meshing forces of the planetary gear have great impact. The clutch test shows that the trend of the oil filling curve obtained from the bench test is similar to that obtained from the theoretical curve, which verifies the simulation results.

With the development of industrialization and urbanization, cities have become the main carriers of economic activities. However, the long-term development of cities has also caused damage to resources and the environment. Hence, objective and scientific evaluation of urban low-carbon sustainable development capacity is very important. An index system of urban low-carbon sustainable development capability is constructed in this paper, and a TOPSIS-BP neural network model is established to evaluate the low-carbon sustainable development capability of Beijing, Shanghai, Shenzhen, and Guangzhou in China. At the same time, the difference degree of low-carbon sustainable development level in these four cities is analyzed by standard deviation and coefficient of variation, and the influencing factors of urban low-carbon sustainable development ability are extracted by grey correlation analysis. The results show that the capability of low-carbon sustainable development in four cities is rising and the difference of low-carbon sustainable development capability is decreasing; the general view that the higher the general investment in low-carbon sustainable development, the higher the level of low-carbon sustainable development in cities has not been verified; with the change of time series, the factors affecting the capability of low-carbon sustainable development in the same city are different and the influence of the same factor on the capability of low-carbon sustainable development in different cities is different.