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Background: Physical and sexual violence against pregnant women have been associated with detrimental mental health outcomes for victims. Few studies have examined both positive (wellbeing) and negative (illbeing) mental health indicators in the same sample. Additionally, the literature assessing mental health based on different forms of violence is limited.Objective: To compare both wellbeing (life satisfaction) and illbeing (anxiety and depression) trajectories between non-victimized and victims of physical, sexual and both forms of violence that occurred during or shortly before pregnancy. Further, we analyse whether social support moderates these trajectories.Method: This longitudinal study is based on the Norwegian Mother, Father and Child Cohort, including the period from early pregnancy to toddlerhood (3 years). We compared wellbeing and illbeing trajectories of non-victims (n = 73,081), victims of physical abuse (n = 1076), sexual abuse (n = 683), and both forms of abuse (n = 107) using Growth Curve Modelling. Finally, social support was included as a moderator of wellbeing and illbeing trajectories.Results: Results indicated that victims scored systematically lower in wellbeing and higher in illbeing. Exposure to violence did not significantly change the wellbeing trajectory, pointing to similar developments in wellbeing among victims and non-victims for the considered period. On the other hand, different trajectories in illbeing occurred between victims and non-victims, as well as between victimized groups. Victims experienced greater change in illbeing scores, with a steeper decrease in illbeing compared to non-victims. Both victims and non-victims returned to respective baseline scores 3 years after birth. All women benefited from social support, but victims of physical abuse were particularly protected by social support.Conclusions: There is an alarming persistence of mental health problems in women exposed to violence during peripregnancy. Different forms of violence differentially impact women’s mental health. Social support is beneficial among all pregnant women.

IntroductionThis study examined the underlying mechanism of the relationship between downward social comparison (DSC) and altruism through two conceptually important but rarely studied factors: belief in a just world (BJW) and general life satisfaction (GLS).MethodsThe study utilized a two-time-point design, spaced 2 months apart, with a sample of 1,764 college students from China. The study measured DSC, altruism, BJW, and GLS.ResultsThe findings revealed a significant positive predictive effect of DSC on college students’ altruism and belief in a just world (BJW). Notably, GLS emerged as a multi-mediating factor in this relationship. The study also revealed that both subscales of BJW, namely personal belief in a just world (PBJW) and general belief in a just world (GBJW), played distinct roles in the mediation model. PBJW exhibited a stronger mediating effect, suggesting that DSC can foster individual altruism and BJW. Particularly, BJW was identified as enhancing GLS, subsequently promoting altruistic behavior.ConclusionThis study contributes to the existing literature on social comparison by shedding light on the relationship between DSC, altruism, and the mediating role of belief in a just world and GLS. The findings underscore the potential for promoting altruistic behavior among college students through interventions targeting beliefs in a just world, especially at the personal level, and enhancing GLS.

Idesia polycarpa is a promising woody oilseed species because of its high oil yield. However, its use is greatly limited due to the lack of varieties with good qualities; additionally, gene function has been less studied in this plant because an efficient transformation method has not been established yet. In this study, we established a rapid and efficient hairy root transformation method by infecting the whole seedling, the rootless seedling, and the leaf petiole with Agrobacterium rhizogenes using different infection methods. Among these transformation methods, a higher transformation efficiency was obtained using the whole seedling, which could reach up to 71.91%. Furthermore, we found that the seedling age significantly affected the transformation efficiency, either using whole or rootless seedlings. Additionally, we found that the transgenic roots could regenerate transgenic shoots. Taken together, our study lays the foundation for future study and for genetically modifying wood traits in the future.

Partially impaired sensor arrays pose a significant challenge in accurately estimating signal parameters. The occurrence of bad data is highly probable, resulting in random loss of source information and substantial performance degradation in parameter estimation. In this paper, a tensor variational sparse Bayesian learning (TVSBL) method is proposed for the estimate of direction of arrival (DOA) and polarization parameters jointly based on a conformal polarization sensitive array (CPSA), taking into account scenarios with the partially impaired sensor array. First, a sparse tensor-based received data model is developed for CPSAs that incorporates bad data. Then, a column vector detection method is proposed to diagnose the positions of the impaired sensors. In scenarios involving partially impaired sensor arrays, a low-rank matrix completion method is employed to recover the random loss of signal information. Finally, variational sparse Bayesian learning (VSBL) and minimum eigenvector methods are utilized sequentially to obtain the DOA and polarization parameters estimation, successively. Furthermore, the Cramér-Rao bound is given for the proposed method. Simulation results validated the effectiveness of the proposed method.

The natural environment of the three provinces and regions of Shaanxi， Gansu and Ningxia is complex and diverse.The ecological environment is fragile， and is sensitive to climate change.In the background of global climate change， the study on the climate production potential of vegetation plays a positive role in the production distribution and ecosystem management of agriculture， forestry and animal husbandry in this region.This paper selects the simulated data of temperature and precipitation of SSP126， SSP245 and SSP585 in the BCC-CSM2-MR model of Shaanxi， Gansu and Ningxia from 2025 to 2100， and uses the Thornthwaite Memorial model to calculate the change characteristics and driving mechanism of the future vegetation climate production potential in the study area.The results show that most areas of Hexi Corridor in Gansu Province maintain the climatic characteristics of "warm and humid" development in the historical period from 2025 to 2100.Compared to the base period， the increment of vegetation climatic productivity potential was concentrated in 10%~40% （SSP126）， 10%~30% （SSP245） and 10%~56.1% （SSP585）， respectively.The vegetation climate production potential in northern Shaanxi shows a downward trend under the SSP126 path， while the vegetation climate production potential in Shaanxi shows an increasing trend under the SSP245 and SSP585 paths， and the increasing trend is the strongest in northern Shaanxi.In Shaanxi Province， compared with the base period in most areas under the SSP126 and SSP245 paths increased by 5%~10%， and that under the SSP585 path increased by 10%~20%.The climate of Ningxia Hui Autonomous region develops to "warm and dry type" under SSP126 path， and the vegetation climate production potential in Ningxia Hui Autonomous region shows a downward trend.On the contrary， the climatic production potential of vegetation in Ningxia Hui Autonomous region increases significantly under SSP245 and SSP585 path.The anomaly of vegetation climate production potential in the whole region increased by 10%~30% under the SSP585 path and 0~20% under the SSP245 path.From the point of view of the driving mechanism， there are two driving types of vegetation climate production potential in the three provinces of Shaanxi， Gansu and Ningxia， which are "precipitation-driven" and "temperature-precipitation-driven".The vegetation climate production potential in the study area is driven by precipitation， which is the main driving force of vegetation climate production potential.

Recent developments in electronic countermeasures have heightened the demand for the direction of arrival (DOA) estimation, and it has become more urgent to improve the resolution of closely spaced sources for conformal arrays. In previous studies, distributed sources incident on linear or planar arrays have been the point of focus, and their performance for closely spaced sources has deteriorated dramatically. To address this issue, we design a multi-head attention (MHA) mechanism-based cascaded estimator, which is composed of a signal-to-noise ratio (SNR) classification network and two DOA estimation subnetworks. The former network uses a fully connected neural network for SNR classification, whose output can activate the corresponding estimation subnetwork. In estimating subnetworks, we adopt multiple self-attention mechanisms for the first time to extract more implied and representative information from raw features for effective estimation. Numerical results verify that the proposed estimator not only exhibits better performance in terms of resolution and recovery accuracy even at lower SNR but also provides great robustness with respect to angle intervals and snapshots, which lays the groundwork for further DOA studies for closely spaced sources.

Abstract The conformal polarization sensitive array (CPSA) is formed by placing some vector sensors on the conformal array and it has a wide range of practical application in direction of arrival (DOA) and polarization parameters estimation. However, due to the diversity of each sensor’s direction, the performance of the conventional parameters estimation methods based on the CPSA would decrease greatly, especially under the low signal to noise ratio (SNR) and limited snapshots. In order to solve this problem, a unified framework and sparse reconstruction perspective for joint DOA and polarization estimation based on CPSA is proposed in this paper. Specifically, the array received signal model of the CPSA is formulated first and the two-dimensional spatial sparsity of the incident signals is then exploited. Subsequently, after employing the singular value decomposition method to reduce the dimension of array output matrix, the variational sparse Bayesian learning and orthogonal matching pursuit methods are utilized to solve the source DOA estimation, respectively. Finally, the polarization parameters are obtained by the minimum eigenvector method. Simulation results demonstrate that the novel approaches can provide improved estimation accuracy and resolution with low SNR and limited snapshots.

IntroductionGiven the prevalence of externalizing problems during adolescence, the present study investigated the main and interactive relationships between environmental-level (teacher autonomy support) and person-level (growth mindset toward personality) factors related to externalizing problems. This study further estimated ethnic variations of these relationships among the majority Han and one ethnic minority group (Hui) in China.MethodsTo achieve the research objectives, the study involved 704 Han (Mage = 12.57; 53.7% female) and 642 Hui adolescents (Mage = 12.45; 49.4% female) who completed a suite of research questionnaires.ResultsThe results of the hierarchical linear regression analysis, after controlling for sociodemographic characteristics and comorbid internalizing problems, showed that teacher autonomy support was directly and negatively related to externalizing problems. This negative relationship was also moderated by growth mindset toward personality and ethnicity. More specifically, a high growth mindset buffered the undesirable effect of low teacher autonomy support on externalizing problems for Hui adolescents but not Han adolescents.DiscussionThe finding from the current research suggests that teacher autonomy support plays a universally beneficial role in youth mental health across two selected ethnic groups. At the same time, identifying the protective role of growth mindset has important practical implications for the design of personalized school-based activities that aim to facilitate adaptive youth behaviors.

Using a dual person-centered approach, the current study examined the Dark Triad profiles and mental health profiles among a large-scale sample of high school students. The study also simultaneously examined whether the emerging Dark Triad profiles could diverge in mental health profiles, delineating a thorough, and person-centered view of this association. To achieve these research aims, 1,640 Chinese high school students (Mage = 16.78; SD = 0.68; 57.6% females) participated in this study, and they were uniformly instructed to complete a set of well-established questionnaires. Results from latent profile analyses revealed five Dark Triad profiles—low Machiavellianism-psychopathy (7.4%), benevolent (61.7%), highly malevolent (6.7%), low narcissism (8.8%), and malevolent (15.4%)—and the following four mental health profiles: flourishing (37.7%), vulnerable (16.4%), troubled (33.9%), and highly troubled (12.4%). Moreover, results from multiple multinomial regression analyses showed that, among all five empirically derived Dark Triad profiles, students with the low Machiavellianism-psychopathy profile exhibited the highest probability of being “flourishing,” whereas those with the low narcissism profile showed the highest likelihood of being “highly troubled.”

With the development of multi-constellation satellite navigation systems and dual-frequency technology,it has become possible to apply advanced receiver autonomous integrity monitoring(ARAIM) to higher-level vertical precision approaches.Firstly,three important contents related to ARAIM were introduced:integrity performance requirements,integrity support information,threat types and mitigation methods.Then,ARAIM related technologies research at home and abroad were summarized:fault classification,constellation configuration and ARAIM availability.Finally,combined with the current development of ARAIM,the future research was expected.

In this paper, we propose a parameter estimation method named improved Lv distribution (ImLVD) for linear frequency modulated (LFM) signals. In this method, based on the scaling principle, we present a two-scale estimation strategy to acquire low computational cost. The two-scale estimation strategy includes coarse estimation operation and fine estimation operation. To implement the strategy, improved scaled Fourier transform (ISFT) and Chirp-Z transform (CZT) operation are used, where the ISFT can be implemented by fast Fourier transform (FFT) and complex multiplications. By changing the frequency searching range of ISFT, the ISFT is used in different frequency ranges. To improve the anti-noise, we present an improved parameter selection criterion which can reduce the noise correlation effectively. In this paper, the implementation, anti-noise performance, and computational cost are analyzed. Through simulations and analyses, we demonstrate that the ImLVD outperforms the compared algorithms.

Prior research has demonstrated that the adverse consequences of the coronavirus disease 2019 (COVID-19) pandemic may go beyond its economic hardships and physical health concerns, having a significant influence on psychological distress for individuals under quarantine. Nevertheless, relatively little attention has been paid to exploring the risk and protective factors in the link between COVID-19 infection risk and psychological distress among young adults. Following a socioecological framework, the current study examines the moderating role of grit (perseverance and consistency) and social support in the association between COVID-19 infection risk and depressive symptoms. A sample of 1,251 young adults under home quarantine (62.6% female; Mage = 20.92 years, SD = 1.47; age ranged from 18 to 25 years) was involved in this study, and they were asked to complete a set of self-reported questionnaires online. Results of a linear regression analysis exhibited that COVID-19 infection risk was positively associated with depressive symptoms in young adults in quarantine. Moreover, moderation analyses showed that this association was moderated by perseverance and social support. To be specific, for those reporting higher levels of social support, this linkage was not significantly positive; in contrast, for those reporting lower levels of social support, perseverance was a significant protective factor for depressive symptoms when young adults were exposed to a high infection risk of COVID-19. The current study suggests that greater social support is essential to helping young adults deal with possible negative emotions in the context of the COVID-19 pandemic. Moreover, university-based counseling services should pay specific attention to those young adults with relatively insufficient social support resources and low levels of perseverance.

Background: Although previous research has demonstrated that fear and guilt have an effect on posttraumatic stress disorder (PTSD), it is still unclear how these two emotions affect posttraumatic growth (PTG). Moreover, few studies have examined the mechanisms by which fear and guilt affect PTSD and PTG. Guided by Lee et al.’s theory of PTSD generation mechanisms and Calhoun and Tedeschi’s PTG theory, the current study proposes that intrusive rumination (IR) and deliberate rumination (DR) may play a mediating role in the effects of guilt and fear on PTSD and PTG. Objective: This study aimed to simultaneously examine the mediating roles of IR and DR in the relationship between fear, guilt, PTSD, and PTG. Method: This study employed a two-wave longitudinal design. A total of 408 adolescent survivors were assessed using self-report questionnaires after the Ya’an earthquake in China. Measures were obtained for trauma exposure, subjective fear, survivor guilt, IR, and DR at three and a half years after the Ya’an earthquake (Time 1), while PTSD and PTG were assessed at time point four and a half years after the Ya’an earthquake (Time 2). Results: The results showed that both fear and guilt had a direct and positive effect on PTSD and PTG. Fear and guilt were positive predictors of PTSD and negative predictors of PTG through the mediating variable of IR. DR mediated the relationship between guilt and PTG but not PTSD, and also mediated the relationship between IR and PTG. Conclusions: Study findings indicate that fear, guilt, and intrusive rumination may contribute to PTSD symptoms in adolescent trauma survivors. Results also suggest that adolescent survivors can grow emotionally and psychologically following traumatic events, and that directed rumination may contribute to such growth. Interventions that reduce fear, guilt, and intrusive rumination while increasing directed rumination may assist adolescent trauma survivors in recovery and growth.

Fire alarm system relates the safety of people's life and property when the fire occurs in high-rise buildings. The characteristic of the smoke spread process in the fire is a crucial problem for design of the fire alarm system. In this paper, the smoke spread process under different ceiling heights is investigated via the computational fluid dynamics method and the numerical simulation in high-rise buildings. The temperature, visibility and obscuration rate in the fire are discussed and the technology about the fire alarm system is studied. From the simulation results, some conclusions are obtained as follow. When the height of ceiling with the smoke detectors is above 16.0 m, the higher ceiling, the lower temperature, and the detected maximum temperature is below 35.0 °C. The alarm time of the smoke detector lags that of the cloud chart of visibility, since it takes time for the smoke to propagate in the dark room inside the detector. When the ceiling height is below 8.0 m, the horizontal installation way of the line type smoke detector (LSD) is better than the vertical way. Simulation results show that the numerical simulation method is reliable and used widely in the fire information research.

Although prior research has extensively documented the correlates of growth mindset, little is known about its antecedents in undergraduate students. Guided by the self-determination theory, the current study investigated the association of perceived autonomy support (i.e., parental autonomy support and teacher autonomy support) with growth mindset and assessed whether sense of coherence mediated this association. A total of 1,030 Chinese undergraduate students (62.4% females; Mage = 20.44, SD = 1.52) aged from 18 to 25 years were involved in this study; they were asked to fill out a set of self-reported questionnaires. Results of the structural equation modeling showed that sense of coherence fully mediated the association between parental autonomy support and growth mindset and between teacher autonomy support and growth mindset. More precisely, parental autonomy support and teacher autonomy support were each positively associated with sense of coherence, which in turn was positively related to growth mindset. The current findings further confirm the beneficial effect of autonomy support on individuals’ adaptive skills in a collective cultural context, suggesting that autonomy-supportive parents and teachers can contribute to undergraduate students’ growth mindset through the role of sense of coherence.

Research has consistently documented that the death of a close family member can disrupt a family’s functional equilibrium and has a deleterious effect on adolescents’ adaptation; however, little attention has been paid to behavioral adaptation of adolescents after a loss in a collective setting. Attempting to fill this research gap, the objectives of the current study are: (1) to identify autonomy support profiles based on two centered figures (parents and head teachers) and (2) to examine whether these emerging profiles may moderate the association between the two dimensions of grit (perseverance and consistency) and externalizing problem behavior in Chinese family-bereaved adolescents. A total of 763 family-bereaved adolescents aged from 13 to 18 years (60.3% girls; Mage = 15.74; SD = 1.53) were involved in the current study; they were asked to fill a battery of self-report questionnaires. A latent profile analysis revealed three autonomy support profiles: high parental autonomy support–high teacher autonomy support (HPHT; n = 598), high parental autonomy support–low teacher autonomy support (HPLT; n = 34), and low parental autonomy support–low teacher autonomy support (LPLT; n = 131). Moreover, results from linear regression analyses, after controlling for relevant bereavement variables, sociodemographics, and social desirability, showed that perseverance and consistency were negatively related to externalizing problem behavior for adolescents within the HPHL profile; nevertheless, the association between perseverance and externalizing problem behavior turned to be positive for adolescents within the HPLT profile. The current study sheds light on the variability of the association between grit and family-bereaved adolescents’ behavioral adaptation and further enriches the beneficial effect of autonomy support on adaptive functions in a collective cultural setting. The interplay between grit and autonomy support from parents and teachers has a significant influence on buffering externalizing problem behavior among family-bereaved adolescents.

Although the proliferation of empirical research has documented the association between parental control and school adjustment, findings of this linkage are still inconclusive. Moreover, fewer efforts have been made to address this association in middle school students. Guided by an ecological framework, the current study aimed to integrate the conflicting findings into a coherent body of knowledge, paying particular attention to two research purposes: (a) to examine the association between parental control and three objective indicators of school adjustment (social competence, academic grades, and peer acceptance) and (b) to explore whether this association was moderated by individual characteristics of social identity and grit. A total of 120 Chinese middle school students (42.5% females) aged between 13 and 15 years old were recruited for this study, and research data were gathered from multiple sources. To be specific, students were asked to complete a set of self-report questionnaires concerning parental control, social identity, and grit. Meanwhile, school-related social competence was rated by head teachers; academic grades were obtained from school records; and peer acceptance was assessed by sociometric nominations. The results from hierarchical regression analyses showed that parental control was negatively associated with academic grades. Moreover, when reporting higher levels of social identity, parental control was negatively related to social competence and peer acceptance for those students with lower levels of grit. Our findings suggest that parental control can dampen middle school students’ academic performance, and low levels of grit can magnify the detrimental effect of parental control on social competence and peer acceptance in middle school students who regard themselves as closely connected to social groups.

Although the association between parental harsh discipline and aggressive behavior in adolescence has been well established, little attention has been paid to early adolescence. Moreover, the risk and protective factors (the interplay of parents’ and adolescents’ gender, the role of grit) in this association during this period are still less explored in the literature. Guided by a socioecological framework, the current study (more exploratory in nature) identified the grit profiles based on two dimensions (i.e., perseverance and consistency) in a sample of Chinese early adolescents; likewise, this study further investigated gender-specific patterns and the moderating role of grit profiles in the association between parental harsh discipline and aggressive behavior. A total of 1,156 Chinese early adolescents (46.5% girls) were involved in this study and completed a set of self-report questionnaires. Latent profile analysis revealed three profiles of grit: low perseverance and low consistency, high perseverance and low consistency, and high perseverance and high consistency. Moreover, linear regression analysis indicated that paternal and maternal harsh discipline were each positively associated with aggressive behavior. The positive association between paternal harsh discipline and aggressive behavior was only significant for adolescent boys with low levels of perseverance and consistency; in contrast, the positive association between maternal harsh discipline and aggressive behavior was significantly stronger for adolescent boys with high levels of perseverance and consistency. These findings suggest that parental harsh discipline presents a risk factor for aggressive behavior, especially for adolescent boys in early adolescence; such a vulnerable effect is more heightened for those with low levels of perseverance and consistency. In addition, although grit is assumed to be a positive personal attribute, maternal harsh discipline to boys in the Chinese family context may disturb their positive development pathway during early adolescence, which is highly discouraged.

In this paper, a novel 2-D direction of arrival (DOA) estimation approach based on the tensor technique is proposed for a conformal array in a massive multiple-input-multiple-output system under unknown mutual coupling. By placing sensors uniformly on the cylindrical surface, the received signal expression is formulated with the Khatri-Rao product. An unknown mutual coupling auto-suppression method based on the conformal array is investigated. Then, to utilize the multidimensional information of the received data, a third-order tensor is constructed based on the conformal array signal model, and the signal subspace is provided by higher order singular value decomposition. Finally, the DOAs are estimated by conventional subspace-based algorithms. This approach provides improved DOA estimation performance owing to the utilization of the multidimensional information and the covariance tensor method, with lower SNR and fewer snapshots. The simulation results confirm that the proposed method outperforms the conventional method based on the vector model.

Although prior research has considerably documented the prevalence and correlates of academic procrastination in college students, relatively little is known about the role of longer volitional processes of goal striving, such as grit, on academic procrastination; moreover, the knowledge about direct and interactive effects of social context and personal characteristic on facilitating grit, which in turn mitigate academic procrastination, are still underexplored. Given these gaps in the existing literature, the current study, more exploratory in nature, investigates a moderated mediation model of future time perspective and grit in the association between peer attachment and academic procrastination in Chinese college students. A total of 1,098 undergraduate students (43.2% girls) aged from 18 to 25 were involved in the current study, and participants were asked to fill in a battery of self-report questionnaires. Results indicated that (a) peer attachment was negatively and significantly associated with academic procrastination; (b) grit partially mediated the association between peer attachment and academic procrastination; more precisely, peer attachment was positively associated with grit, which in turn was negatively linked to academic procrastination; and (c) future time perspective moderated the association between peer attachment and grit; more specifically, for students with low levels of future time perspective, the association between peer attachment and grit turned out to be significantly negative. These findings suggest that interventions targeting the enhancement of peer attachment and grit may prevent or reduce academic procrastination, and college students who regard future orientation as pessimistic should be paid specific attention by university-based counseling services.

Although prior research has demonstrated that switching schools poses a risk for academic and behavioral functioning among adolescents, relatively little is known about their emotional adjustment, or how it affects emotional well-being. Moreover, the cumulative effects of multiple risk and protective factors on their emotional well-being are even less covered in the existing literature. Guided by a risk and resilience ecological framework, the current study compared emotional well-being, operationalized as positive affect and negative affect, between Chinese adolescents who had switched schools and their non-switch counterparts, and examined the direct and interactive effects of teacher autonomy support and two facets of grit (i.e., perseverance and consistency) on emotional well-being in both groups. A propensity score matching analysis was used to balance the two groups in terms of sociodemographic characteristics (i.e., age, gender, and socioeconomic status). A total of 371 adolescents who had switched schools and 742 non-switch counterparts aged from 13 to 18 years were involved in this study. Results indicated that adolescents who had switched schools reported higher levels of negative affect than their non-switch counterparts. Moreover, for adolescents who had switched schools, those who possessed higher levels of perseverance had a significantly negative association between teacher autonomy support and negative affect; however, the corresponding association was independent of perseverance for their non-switch counterparts. The current findings indicate that switching schools is a disadvantage for adolescents’ emotional states. However, teacher autonomy support and perseverance can protect adolescents who switch schools as critical stress-buffering factors against these negative feelings.

Although prior research has shown potential academic difficulties for Tibetan adolescents when coping with the mainstream Han culture, little is known about their psychosocial adjustment. Adopting a person-centered approach, the current study explores psychosocial adjustment profiles based on internalizing indicators (i.e., depression, loneliness, life satisfaction, positive affect, and negative affect) and externalizing indicators (i.e., prosocial behavior and antisocial behavior). Moreover, guided by the empathy theory, this study also examines the direct and interactive effects of empathy (affective and cognitive empathy) and ethnicity (Tibetan vs. Han adolescents) on psychosocial adjustment profiles. A total of 306 Tibetan adolescents (66.3% girls) and 321 Han adolescents (55.1% girls) were involved in this study, and participants were asked to fill in a set of self-report questionnaires. A latent profile analysis revealed five psychosocial adjustment profiles: adaptive, maladaptive, externalizing, internalizing, and moderate. Furthermore, a multiple multinomial analysis showed Han adolescents were more likely than Tibetan adolescents to be a member of adaptive and moderate profiles than of the externalizing profile. Individuals with low affective empathy and high cognitive empathy were prone to be adequate in terms of psychosocial functioning, and the effects of low affective empathy and high cognitive empathy on psychosocial functioning were highlighted in Han adolescents only.

A growing body of research has explored well-being in diverse cultural contexts, and indicates that the definition and perception of well-being vary according to cultural context. Little is known, however, about whether intercultural differences in China (i.e., Tibetan and Han) lead to different perceptions of well-being and how social contexts and personal characteristics are associated with well-being in Tibetan and Han emerging adults. Using a self-determination framework, the current study examines the relationship between parental autonomy support (PAS) and psychological well-being (PWB) in Tibetan and Han emerging adults in China. Guided by implicit theory and self-regulatory theory, we propose a serial multiple mediation model of growth mindset and grit in the association between PAS and PWB. Propensity score matching was used to balance the two ethnic groups in terms of age, gender, socioeconomic status (SES), with a ratio of one to two. Finally, 59 Tibetan (71.2% girls) and 118 Han (69.5% girls) emerging adults aged from 18 to 25 years were included in the current study, and completed an online questionnaire survey. Findings suggest that (a) Tibetan emerging adults perceived higher levels of PWB than their peers from the Han ethnic group; (b) a serial multiple mediation model for the association between PAS and PWB was supported in Han emerging adults; (c) the indirect effects between PAS and PWB varied between Tibetan and Han emerging adults. Our findings suggest that PAS and grit contribute to PWB of emerging adults in both cultural contexts, whereas growth mindset may be beneficial for Han emerging adults only.

In this paper, a low computational complexity rank reduce (RARE) algorithm based on 2-D nested array is proposed for direction of arrival (DOA) estimation in massive multiple-input multiple-output system. By utilizing the difference co-array of the 2-D nested array, one can obtain O(N2) virtual sensors with only N actual sensors, which can enable us to detect more number of sources than sensors. However, the large number of sensors would lead to huge computation burden, such as 2-D spectrum searching, for DOAs estimation of user's equipment. To overcome this problem, the RARE algorithm enjoying simple implementation is derived based on 2-D nested array. Instead of finding the solutions in 2-D observation space, the proposed method can solve the problem with two 1-D functions, which would reduce computational burden dramatically. Then by extending the original manifold to a larger set in the observation space, it would be much easier to obtain the solutions. Besides, the estimated azimuth and elevation angles can be paired automatically. The simulation results demonstrate the validity of the proposed method.

The performance of traditional direction of arrival (DOA) estimation algorithm based on uniform circular array (UCA) is constrained by the array aperture. Furthermore, the array requires more antenna elements than targets, which will increase the size and weight of the device and cause higher energy loss. In order to solve these issues, a novel low energy algorithm utilizing array base-line rotation for multiple targets estimation is proposed. By rotating two elements and setting a fixed time delay, even the number of elements is selected to form a virtual UCA. Then, the received data of signals will be sampled at multiple positions, which improves the array elements utilization greatly. 2D-DOA estimation of the rotation array is accomplished via multiple signal classification (MUSIC) algorithms. Finally, the Cramer-Rao bound (CRB) is derived and simulation results verified the effectiveness of the proposed algorithm with high resolution and estimation accuracy performance. Besides, because of the significant reduction of array elements number, the array antennas system is much simpler and less complex than traditional array.