The comorbidity mechanism of problematic internet use and depression among Chinese college students: A cross-lagged panel network analysis.

Problematic internet use (PIU) and depression usually co-occur and are common among college students. According to network theory, it may be attributed to the interplay of symptoms that connect these two mental health problems. However, most studies have failed to examine complex and subtle connections at the symptom level and have not clarified how PIU and depression symptoms are intercorrelated, which symptoms serve as the source of comorbidity (i.e., the central symptoms), and whether such a comorbidity mechanism would change with higher grades. To explore these questions, this study examined four contemporaneous networks and three cross-lagged panel networks, visualizing the symptoms as nodes and the connections between symptoms as edges. A total of 2,420 college students (Mage = 18.35, SD = 0.84; 67.98 % girls) completed four annual surveys. Overall, the results of contemporaneous networks and cross-lagged panel networks indicated that (a) PIU and depression symptoms are intercorrelated; (b) the core symptoms responsible for comorbidity mostly belonged to PIU, and (c) the comorbidity mechanism would change with time. These findings explain the dynamic relation between PIU and depression and identify possible primary symptoms that comorbidity programs can mitigate at different stages of the college years.

Associations Between Internet-Specific Parenting, General Parenting, and Adolescents' Online Behaviors: A Cross-Lagged Panel Network Analysis.

Parents play a crucial role in adolescents' Internet use. Both general parenting (i.e., autonomy-supportive and controlling parenting) and Internet-specific parenting (i.e., restrictive mediation, active mediation, and parental encouragement) are related to adolescents' online behaviors. However, existing studies have focused either on an Internet-specific parenting or general parenting strategy and have neglected their interaction, failing to capture the intricate nature of the parenting context of youth's online behaviors. Few studies have examined parental encouragement or acknowledged the bidirectional influence of parenting on adolescents' online behaviors. To address this gap, this study employed a cross-lagged panel network model to examine the associations among restrictive and active mediation, parental encouragement, and autonomy-supportive and controlling parenting, as well as the interplay of all five parenting strategies with adolescents' online behaviors. A total of 564 Chinese students (51.1% male; mean age = 14.54, SD = 0.7) completed the survey at two time points. The results indicate that in most cases, previous online behaviors are significant and strong predictors of subsequent parenting strategies and not vice versa, corroborating the child effect. The parent and reciprocal effects were observed in the problematic smartphone-use domain, suggesting that the effects may differ for distinct behavioral domains. The effects of parental mediation extend beyond parental encouragement, implying that risk-prevention-related parenting is an effective means of guiding adolescents' online behaviors. Autonomy-relevant general parenting is closely related to active mediation and parental encouragement, while restrictive general parenting is closely related to restrictive mediation, suggesting a consistency between Internet-specific and general parenting strategies.

Engineering extracellular electron transfer to promote simultaneous brewing wastewater treatment and chromium reduction.

Microbial fuel cell (MFC) technology has been developed for wastewater treatment in the anodic chamber, and heavy metal reduction in the cathodic chamber. However, the limited extracellular electron transfer (EET) rate of exoelectrogens remained a constraint for practical applications of MFCs. Here, a MFC system that used the electricity derived from anodic wastewater treatment to drive cathodic Cr6+ reduction was developed, which enabled an energy self-sustained approach to efficiently address Cr6+ contamination. This MFC system was achieved by screening exoelectrogens with a superior EET rate, promoting the exoelectrogenic EET rate, and constructing a conductive bio-anode. Firstly, Shewanella algae-L3 was screened from brewing wastewater acclimatized sludge, which generated power density of 566.83 mW m-2. Secondly, to facilitate EET rate, flavin synthesis gene operon ribADEHC was overexpressed in engineered S. algae-L3F to increase flavins biosynthesis, which promoted the power density to 1233.21 mW m-2. Thirdly, to facilitate interface electron transfer, carbon nanotube (CNT) was employed to construct a S. algae-L3F-CNT bio-anode, which further enhanced power density to 3112.98 mW m-2. Lastly, S. algae-L3F-CNT bio-anode was used to harvest electrical energy from brewing wastewater to drive cathodic Cr6+ reduction in MFC, realizing 71.43% anodic COD removal and 98.14% cathodic Cr6+ reduction. This study demonstrated that enhanced exoelectrogenic EET could facilitate cathodic Cr6+ reduction in MFC.

The Associations Between Parental Phubbing, Adolescent Phubbing, and Adolescents' Adjustments: A Cross-Lagged Panel Network Analysis.

A growing body of research indicates that phubbing can negatively influence adolescent development, it is not clear how perceived parental phubbing, adolescent phubbing, and adolescents' adjustment problems concurrently relate to each other at the dimension level. This study conducted the contemporaneous network analyses and cross-lagged network analysis to examine the distinct relationships between the various dimensions of perceived father phubbing, perceived mother phubbing, adolescent phubbing and adolescent's adjustment problems. A total of 1447 Chinese students (60.5% females; Mean age = 16.15, SD = 0.65) completed a survey at two-time points. The results of the contemporaneous network analyses indicated that perceived father/mother ignorance have the strongest links with the dimensions of adolescent phubbing and adolescents' adjustment problems, suggesting that adolescents who reported high levels of perceived father/mother ignorance are more likely to concurrently face other issues and thus should be a primary focus of concern. The cross-lagged panel network analysis revealed that academic burnout is the primary catalyst in this dynamic network, which underscores a child-driven effect within the network. This emphasizes the importance of addressing adolescent academic burnout as a pivotal intervention point, both to alleviate phubbing in parent-adolescent interactions and to tackle adolescents' adjustment problems.

Autonomy-relatedness Patterns and their Association with Academic and Psychological Adjustment among Chinese Adolescents.

Establishing autonomy and maintaining relatedness with parents are two of the most crucial goals for adolescents and meeting these goals can be critical for academic and psychological adjustment. A two-dimensional framework was proposed for exploring the integrative synthesis of autonomy and relatedness, but its cultural applicability was limited. To better account for the situations associated with non-Western cultural context, this study extended the prior framework to three dimensions (volition, functional independence, and relatedness) and utilized latent profile analysis to explore the configurations and their concurrent and longitudinal (one year later) associations with adjustment (academic engagement, academic buoyancy, depressive symptoms, and externalizing problems). The study collected data from 3992 Chinese adolescents (51.33% girls, Mage = 15.41, SD = 0.55). Latent profile analyses identified five profiles: High, High Functional Independence, Moderate, Low Functional Independence, and Extremely Low Functional Independence. The High profile was the robust optimal pattern for academic and psychological adjustment, while the Low Functional Independence and Extremely Low Functional Independence were risk patterns over time. The High Functional Independence profile was only conducive to academic areas but not to psychological areas. Findings demonstrated the necessity of the three-dimensional framework in this field.

Peer Victimization and Subjective Well-Being Among Chinese Adolescents: Moderated Mediation by Forgiveness and Self-Esteem.

Considerable developmental research has shown an association between peer victimization and subjective well-being among adolescents. However, the mediating processes and protective factors that constrain this association are less understood. To fill these gaps, we investigated whether self-esteem mediates the association between peer victimization and subjective well-being and whether forgiveness moderates the direct and indirect associations of peer victimization with adolescents' subjective well-being via self-esteem. A large sample of 2,758 adolescents (Mage = 13.53 years, SD = 1.06) from 10 middle schools in China participated in this study. Participants provided data on demographic variables, peer victimization, self-esteem, forgiveness, and subjective well-being by answering anonymous questionnaires. After controlling for demographic covariates, we found that self-esteem mediated the relationship between peer victimization and subjective well-being. Furthermore, as a protective factor, forgiveness moderated the relationship between peer victimization and self-esteem. Consistent with the protective-reactive model, when adolescents experienced more peer victimization, those with higher forgiveness levels exhibited a greater decline in self-esteem, and low self-esteem was then associated with decreased subjective well-being. These findings demonstrate the utility of examining both mediating and moderating factors in this relationship and highlight the negative impact of peer victimization on adolescent self-worth and the limited role of forgiveness as a protective factor.

Circularly polarized electroluminescence from a single-crystal organic microcavity light-emitting diode based on photonic spin-orbit interactions.

Circularly polarized (CP) electroluminescence from organic light-emitting diodes (OLEDs) has aroused considerable attention for their potential in future display and photonic technologies. The development of CP-OLEDs relies largely on chiral-emitters, which not only remain rare owing to difficulties in design and synthesis but also limit the performance of electroluminescence. When the polarization (pseudospin) degrees of freedom of a photon interact with its orbital angular momentum, photonic spin-orbit interaction (SOI) emerges such as Rashba-Dresselhaus (RD) effect. Here, we demonstrate a chiral-emitter-free microcavity CP-OLED with a high dissymmetry factor (gEL) and high luminance by embedding a thin two-dimensional organic single crystal (2D-OSC) between two silver layers which serve as two metallic mirrors forming a microcavity and meanwhile also as two electrodes in an OLED architecture. In the presence of the RD effect, the SOIs in the birefringent 2D-OSC microcavity result in a controllable spin-splitting with CP dispersions. Thanks to the high emission efficiency and high carrier mobility of the OSC, chiral-emitter-free CP-OLEDs have been demonstrated exhibiting a high gEL of 1.1 and a maximum luminance of about 60000 cd/m2, which places our device among the best performing CP-OLEDs. This strategy opens an avenue for practical applications towards on-chip microcavity CP-OLEDs.

Developmental Trajectories of Adolescent Internet Addiction: Interpersonal Predictors and Adjustment Outcomes.

Despite the burgeoning literature on adolescent internet addiction (IA), the majority of studies have relied on cross-sectional designs and variable-centered analytical approaches. Therefore, little is understood about the heterogeneous developmental trajectories of adolescent IA as well as its antecedents and outcomes. This longitudinal study adopted growth mixture modeling (GMM), a person-centered approach, to identify the distinct trajectories of IA among adolescents during a three-year period. We further examined the interpersonal predictors along with a series of outcomes of different trajectories. Participants included 1,365 Chinese adolescents (Mage = 14.68 years, SD = 1.56; 46.8% girls) from two junior high schools and two senior high schools. The GMM results indicated three distinct trajectories: low-increasing (56.7%), moderate-declining (37.6%), and high-declining (5.7%) groups. In terms of interpersonal predictors, adolescents who reported poorer relationships with their parents, teachers, and schoolmates were more likely to belong to the high-declining and moderate-declining groups. In terms of outcomes, the high-declining and moderate-declining groups exhibited an increase in mental health problems (i.e., more depressive symptoms, lower self-esteem, and lower subjective well-being) and delinquent behaviors, even after controlling for their baseline levels. These findings highlight the heterogeneity of IA trajectories among adolescents, the predictive role of interpersonal factors, and different adjustment outcomes associated with IA trajectories. Therefore, prevention and intervention programs involving interpersonal relationships may be promising for adolescents at high or moderate risk of IA.

Dyadic Profiles of Sexual Satisfaction among Chinese Newlywed Couples over Time.

Although sexual satisfaction is a defining feature of marriage, research has consistently found that sexual satisfaction declines over time. Recently, however, emerging findings provide a more optimistic perspective on sexual satisfaction development by suggesting that couples may follow diverse sexual satisfaction trajectories. Using Dyadic Latent Class Growth Analysis, the current study is among the first to examine heterogeneity in couples' sexual satisfaction trajectory patterns during the early years of marriage and the first to do so in a non-Western context. Specifically, we establish distinct trajectory classes among 268 mixed-sex newlywed couples in China based on two couple-level features - the absolute level of sexual satisfaction and synchrony over time - and then compare these classes on subsequent ratings of marital instability. Four distinct trajectory patterns were found: a stable high class, a wives low and simultaneous deterioration class, a husbands low decrease-wives high stable class, and a wives high decrease-husbands high stable class. Couples in the stable high class reported lower levels of marital instability at two-year follow-up compared to couples in the other classes, suggesting that high sexual satisfaction and synchrony is beneficial for couples' marital relationships. These results provide further evidence challenging the inevitability of sexual satisfaction declines and have important implications for interventions aiming to enhance couples' sexual relationship.

Engineering Shewanella carassii, a newly isolated exoelectrogen from activated sludge, to enhance methyl orange degradation and bioelectricity harvest.

Electroactive microorganisms (EAMs) play important roles in biogeochemical redox processes and have been of great interest in the fields of energy recovery, waste treatment, and environmental remediation. However, the currently identified EAMs are difficult to be widely used in complex and diverse environments, due to the existence of poor electron transfer capability, weak environmental adaptability, and difficulty with engineering modifications, etc. Therefore, rapid and efficient screening of high performance EAMs from environments is an effective strategy to facilitate applications of microbial fuel cells (MFCs). In this study, to achieve efficient degradation of methyl orange (MO) by MFC and electricity harvest, a more efficient exoelectrogen Shewanella carassii-D5 that belongs to Shewanella spp. was first isolated from activated sludge by WO3 nanocluster probe technique. Physiological properties experiments confirmed that S. carassii-D5 is a Gram-negative strain with rounded colonies and smooth, slightly reddish surface, which could survive in media containing lactate at 30 °C. Moreover, we found that S. carassii-D5 exhibited remarkable MO degradation ability, which could degrade 66% of MO within 72 h, 1.7 times higher than that of Shewanella oneidensis MR-1. Electrochemical measurements showed that MFCs inoculated with S. carassii-D5 could generate a maximum power density of 704.6 mW/m2, which was 5.6 times higher than that of S. oneidensis MR-1. Further investigation of the extracellular electron transfer (EET) mechanism found that S. carassii-D5 strain had high level of c-type cytochromes and strong biofilm formation ability compared with S. oneidensis MR-1, thus facilitating direct EET. Therefore, to enhance indirect electron transfer and MO degradation capacity, a synthetic gene cluster ribADEHC encoding riboflavin synthesis pathway from Bacillus subtilis was heterologously expressed in S. carassii-D5, increasing riboflavin yield from 1.9 to 9.0 mg/g DCW with 1286.3 mW/m2 power density output in lactate fed-MFCs. Furthermore, results showed that the high EET rate endowed a faster degradation efficient of MO from 66% to 86% with a maximum power density of 192.3 mW/m2, which was 1.3 and 1.6 times higher than that of S. carassii-D5, respectively. Our research suggests that screening and engineering high-efficient EAMs from sludge is a feasible strategy in treating organic pollutants.

Predictive value of machine learning in diagnosing cognitive impairment in patients with Parkinson's disease: a systematic review and meta-analysis.

BACKGROUND: The current process used to diagnose cognitive impairment in patients with Parkinson's disease (PD) is unsatisfactory. More and more researchers had introduced machine learning into this field in recent years. This study explored the application of machine learning and its diagnostic performance in this field. METHODS: Since Parkinson's concurrent cognitive impairment is currently divided into different periods, most studies focus on the prodromal or early stages of Parkinson's cognitive impairment, and a few focuses on the dementia stage of Parkinson's. To ensure comprehensiveness, and model stability, we included patients with Parkinson's concurrent cognitive impairment in different periods who met the nadir criteria. A comprehensive literature search was carried out of the PubMed, Cochrane, Embase, and Web of Science databases. We used Prediction Model Risk of Bias Assessment Tool (PROBAST) to assess the risk of bias for the machine learning models covered by the included original studies. The outcome indicators included the concordance-index (C-index), sensitivity, and specificity. A meta-analysis using the random-effects model was conducted to determine the C-index, and a double variable mixed-effects model was used to determine the sensitivity and specificity. The meta-analysis in this article was completed in STATA. RESULTS: A total of 32 articles, comprising 10,778 patients and 51 prognostic models [summary c-statistic: 0.857, 95% confidence interval (CI) (0.842-0.873)], met the selection criteria and were included in this analysis. The total sensitivity and specificity of all models were 0.77 (95% CI: 0.72-0.81) and 0.83 (95% CI: 0.80-0.85), respectively, and those of the testing test were 0.85 (95% CI: 0.79-0.89), and 0.74 (95% CI: 0.70-0.78), respectively. A large part of the model showed a high risk of bias mainly because the study design was almost retrospective investigation. CONCLUSIONS: This study constitutes a detailed mapping and assessment of the machine learning for prediction in PD patients with cognitive decline, which may provide stronger discriminative performance and can be used as a potential tool for early diagnosis.

Trajectory of problematic internet use across the college years: The role of peer internet overuse behavior and peer attitude toward internet overuse.

INTRODUCTION: College students are at high risk of problematic internet use (PIU). A great amount of research has focused on the PIU among college students. However, little is known about the change pattern of PIU across the college years. Moreover, how peer internet overuse behavior and peer attitude toward internet overuse work together to shape college students' PIU trajectory, and whether such peer contagion effects are equal for all students remain unclear. The present study used latent growth curve model to examine these issues. METHODS: A total of 2572 Chinese college students (Mage = 18.37, SD = 0.85; 65% girls) participated in the study. They completed questionnaires regarding demographics, peer internet overuse behavior, peer attitude toward internet overuse, and friendship satisfaction at Wave 1, and PIU at Waves 1-4. RESULTS: After controlling for covariates, the findings revealed that (a) PIU slightly increased before the second year of college and then declined rapidly; (b) both peer internet overuse behavior and peer attitude toward internet overuse were related to the PIU at baseline; however, only peer internet overuse behavior was associated with the change of PIU; and (c) the effect of peer internet overuse behavior on PIU change was moderated by friendship satisfaction and gender. CONCLUSIONS: These findings emphasized the dynamic and context-sensitive nature of PIU and clarified how peer contagion unfolded with peer internet overuse behavior and peer attitude toward internet overuse. Theoretical implications and application of these findings are discussed.

Perceived school climate and problematic internet use among Chinese adolescents: Psychological insecurity and negative peer affiliation as mediators.

OBJECTIVE: This study investigated whether and how perceived school climate was associated with adolescent problematic internet use (PIU). Based on two functions of perceived school climate, psychological insecurity and negative peer affiliation were investigated as mediators. METHOD: A 3-wave longitudinal design (Wave 1 N = 1,365 Chinese adolescents, 53.2% male, Mage = 14.68 years), with 1-year intervals between waves and using adolescent self-report assessment was conducted. RESULTS: Path analysis indicated that (a) Perceived school climate was prospectively associated with PIU 2 years later; (b) When the 2 mediators were analyzed in separate models, both psychological insecurity and negative peer affiliation could play a mediating role in such a prospective relationship; and (c) When the 2 mediators were tested in the same model, two indirect pathways emerged, 1 through psychological insecurity only, and the other involving both psychological insecurity and negative peer affiliation serially. All these effects held even when controlling for initial levels of outcomes and demographic covariates. CONCLUSIONS: These findings suggest that positive perceptions of school climate may equip adolescents with psychological security that is instrumental to their peer affiliation, which ultimately decreases their risk of PIU. These findings point to malleable targets for prevention and intervention of adolescent PIU. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The role of stressful life events and the Big Five personality traits in adolescent trajectories of problematic Internet use.

Cross-sectional studies have shown that both stressors and personality vulnerability are risk factors for adolescent problematic Internet use (PIU). However, little is known about how both categories of factors in combination may contribute to the longitudinal development of PIU among adolescents. The aims of this study were to document the developmental pattern of PIU among adolescents and to examine how stressful life events and the Big Five personality traits jointly affect the development of PIU. We tested three competing models: the additive, diathesis-stress, and social push models. A total of 1,365 adolescents participated in a 3-year longitudinal study. Hierarchical linear modeling indicated that PIU among adolescents increased over the 3-year period. After controlling for demographics and the Big Five personality traits, stressful life events (a time-varying predictor) were positively correlated with the initial level of, and the rate of change in, PIU. After controlling for demographics and stressful life events, four of the time-invariant Big Five personality dimensions had a significant effect on the initial level of PIU. Low Agreeableness, low Conscientiousness, high Openness, and high Neuroticism were positively associated with high initial PIU. In addition, Extraversion was negatively associated with and Conscientiousness was positively associated with the rate of change in PIU. The interaction effect between the personality and stressors was not significant. Therefore, the data provided support for the additive model, indicating that stressful life events and personality dimensions each make a unique contribution to PIU and that both should be considered in the prevention of adolescent PIU. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Peer victimization and problematic internet use in adolescents: The mediating role of deviant peer affiliation and the moderating role of family functioning.

The role of social-environmental factors in adolescent problematic Internet use (PIU) has attracted considerable attention recently. Several studies have documented that peer victimization is positively associated with PIU. However, little is known about "how" (i.e., mediation mechanisms) and "under what conditions" (i.e., moderation mechanisms) peer victimization is associated with adolescent PIU. To contribute to this gap in the knowledge, this study used a large sample of Chinese adolescents (N = 2758; Mage = 13.53 years, SD = 1.06) to examine deviant peer affiliation (DPA) as a mediator and family functioning as a moderator in this relationship. Students completed anonymous questionnaires to measure the main variables. After controlling for important covariates related to PIU, the results indicated that (a) peer victimization was positively associated with PIU, (b) DPA partially mediated the link between peer victimization and PIU, and (c) family functioning moderated the association between peer victimization and DPA. Specifically, for adolescents with better family functioning, the relationship between peer victimization and DPA was weaker. The current research deepens our understanding of "how" and "under what conditions" peer victimization is related to PIU in adolescents.

[Soil Salinity Estimation Based on Near-Ground Multispectral Imagery in Typical Area of the Yellow River Delta].

This study chooses the core demonstration area of 'Bohai Barn' project as the study area, which is located in Wudi, Shandong Province. We first collected near-ground and multispectral images and surface soil salinity data using ADC portable multispectral camera and EC110 portable salinometer. Then three vegetation indices, namely NDVI, SAVI and GNDVI, were used to build 18 models respectively with the actual measured soil salinity. These models include linear function, exponential function, logarithmic function, exponentiation function, quadratic function and cubic function, from which the best estimation model for soil salinity estimation was selected and used for inverting and analyzing soil salinity status of the study area. Results indicated that all models mentioned above could effectively estimate soil salinity and models using SAVI as the dependent variable were more effective than the others. Among SAVI models, the linear model (Y = -0.524x + 0.663, n = 70) is the best, under which the test value of F is the highest as 141.347 at significance test level, estimated R2 0.797 with a 93.36% accuracy. Soil salinity of the study area is mainly around 2.5 per thousand - 3.5 per thousand, which gradually increases from southwest to northeast. The study has probed into soil salinity estimation methods based on near-ground and multispectral data, and will provide a quick and effective technical soil salinity estimation approach for coastal saline soil of the study area and the whole Yellow River Delta.