The relationship between childhood maltreatment subtypes and adolescent internalizing problems: The mediating role of maladaptive cognitive emotion regulation strategies.

BACKGROUND: While childhood maltreatment is understood to be a significant risk factor for adolescent internalizing problems (depression and anxiety), underlying mechanisms linking each type of maltreatment to internalizing problems in adolescents remain unclear. Moreover, the current state of knowledge regarding the associations between maladaptive cognitive emotion regulation strategies and each type of maltreatment, as well as their impact on adolescent internalizing problems, is limited. Additionally, it remains unclear whether these maladaptive strategies mediate this relationship. OBJECTIVE: This study sought to investigate the effects of childhood maltreatment types on adolescent internalizing problems and to explore whether the overall and specific types of maladaptive strategies mediate these associations. METHODS: Using a cross-sectional design, adolescents (N = 7071, Mage = 14.05 years, SDage = 1.54) completed online questionnaires assessing childhood maltreatment, maladaptive cognitive emotion regulation strategies (including rumination, catastrophizing, self-blame, and other-blame), anxiety, and depression. The hypothesized mediating effects were tested using the Lavaan package in R software (4.1.2). RESULTS: Different maltreatment types had varying effects on adolescent internalizing problems. Emotional neglect, emotional abuse, and sexual abuse significantly affected anxiety and depression, whereas physical neglect and physical abuse did not. Other than physical neglect and physical abuse, overall maladaptive strategies mediated the relationship between the other three types of maltreatment (emotional abuse, emotional neglect, and sexual abuse) and internalizing problems (anxiety and depression). For specific maladaptive strategies, rumination mediated the effects of physical abuse, emotional abuse, emotional neglect, and sexual abuse on internalizing problems (anxiety and depression). In contrast, catastrophizing mediated the relationship between physical neglect, emotional abuse, emotional neglect, sexual abuse and internalizing problems (anxiety and depression). CONCLUSIONS: These results suggest that the effects of maltreatment types on internalizing problems are different and that maladaptive strategies, particularly rumination and catastrophizing, are important mechanisms through which childhood maltreatment affects internalizing problems. This is a reminder that mental health workers need to consider the different effects of maltreatment types when intervening and recognize the importance of prioritizing interventions for rumination and catastrophizing.

Facing uncertainties: The longitudinal relationship between childhood maltreatment and exploratory behavior.

BACKGROUND: Exploratory behavior, as an essential component of decision-making, is indispensable for maximizing long-term benefits, making it a crucial factor in adolescents' psychological well-being and social adaptation. Despite the established understanding that this adaptive behavior is shaped by early adverse experiences, limited knowledge exists regarding the longitudinal relationship between childhood maltreatment and exploratory behavior. OBJECTIVE: The present study examines whether childhood maltreatment would impede subsequent exploratory behavior, considering the mediating role of uncertainty stress and the moderating role of intolerance of uncertainty. PARTICIPANTS AND SETTING: Participants were 655 adolescents from a longitudinal design with two waves spanning six months (Mage = 15.99, SDage = 0.92, 43.5 % female). METHODS: Correlation analysis and longitudinal moderated mediation effect testing were used to test our hypotheses. RESULTS: Correlation analysis indicated that childhood maltreatment was negatively correlated with exploratory behavior only simultaneously but not longitudinally. After controlling age and gender, childhood maltreatment would accompany higher levels of uncertainty stress, which in turn may act as a driving force behind subsequent exploratory behavior. The heightened intolerance of uncertainty may potentially mitigate the direct link between childhood maltreatment and later exploratory behavior. Furthermore, this trait amplifies the experienced uncertainty stress in individuals who have undergone maltreatment, thereby increasing their inclination toward engaging in subsequent exploratory behavior. CONCLUSIONS: Given the critical role of uncertainty stress, promoting more exploration among these maltreated adolescents requires corresponding cognitive and behavioral interventions to adjust their perception and cognition of uncertainty.

Uncovering the symptom relationship between anxiety, depression, and internet addiction among left-behind children: A large-scale purposive sampling network analysis.

Facing long-term separation from their parents, left-behind children are at risk of the co-occurrence of internalizing and externalizing problems. Although previous research has gained substantial information examining the relationship between anxiety, depression, and internet addiction at the aggregate level of variables, little is known about the heterogeneity and interactions between these components at the symptom level with a large-scale purposive sample. Adopting the network approach, two network pathways, depression and anxiety, and associations between these variables and internet addiction were constructed. Our sample included 5367 left-behind children (Mage = 13.57; SDage = 1.37; 50.07% females). Relevant bridging, central symptoms, and network stability were identified. Two relatively stable networks were obtained. For the network of anxiety and depression, sleep problems and tachycardia were vital bridging symptoms. Central symptoms, including tachycardia, restlessness, fatigue, and emptiness, were symptoms of depression. For the network of symptoms of anxiety, depression, and internet addiction, the bridging symptoms remained the same, and the central symptoms included tachycardia, restlessness, loss of control, and emptiness. By identifying relevant bridging and central symptoms, those with higher levels of these symptoms could be regarded as intervention targets, providing a reference for the current issue of valuing diagnosis over prevention in left-behind children.

Childhood maltreatment and Internet addiction among Chinese adolescents: A moderated mediation model.

Although childhood maltreatment has been suggested to play an important role in developing Internet addiction among adolescents, little is known about the mediating and moderating mechanisms underlying this association. The present study investigated (a) the mediating role of maladaptive cognitive emotion regulation strategy (MCERS) in the association between childhood maltreatment and Internet addiction, and (b) the moderating role of peer support in the relationship between childhood maltreatment and Internet addiction. A sample of 4163 Chinese adolescents (50.3 % females, Mage = 14.25, SD = 1.53) were recruited. The moderated mediation model showed that MCERS mediated the relationship between childhood maltreatment and Internet addiction. Furthermore, the mediating process was moderated by peer support. Interestingly, peer support can protect adolescents from being affected by higher levels of MCERS while it displays limited protective effect when adolescents suffered from higher levels of childhood maltreatment. These findings indicate that reducing the MCERS and enhancing peer support can contribute to the alleviation of negative influences of childhood maltreatment on Internet addiction.

The longitudinal associations between internet addiction and ADHD symptoms among adolescents.

Background and aims: Internet addiction has been linked to ADHD-related symptoms. However, the direction of the relationship and its potential for reciprocal relations is not well understood. This study examined the potential reciprocal relations between the three components of ADHD and Internet addiction, as well as the moderating effects of gender on these relations. Methods: Using a longitudinal design, we collected data of 865 Chinese adolescents across three waves (Mage = 13.78, SD = 1.56 in wave 1), with a time interval of 6 months. Results: Cross-lagged analyses revealed bidirectional associations between hyperactivity, inattention, impulsivity, and Internet addiction over time. Multi-group analyses did not yield any significant gender differences in these relationships. Discussion and conclusions: These findings enhance our understanding of the complex link between ADHD components and Internet addiction and have implications for interventions aimed at reducing the prevalence of Internet addiction and ADHD.

Hot-Casting Strategy Empowers High-Boiling Solvent-Processed Organic Solar Cells with Over 18.5% Efficiency.

Most top-rank organic solar cells (OSCs) are manufactured by the halogenated solvent chloroform, which possesses a narrow processing window due to its low-boiling point. Herein, based on two high-boiling solvents, halogenated solvent chlorobenzene (CB) and non-halogenated green solvent ortho-xylene (OX), preparing active layers with the hot solution is put forward to enhance the performance of the OSCs. In situ test and morphological characterization clarify that the hot-casting strategy assists in the fast and synchronous molecular assembly of both donor and acceptor in the active layer, contributing to preferable donor/acceptor ratio, vertical phase separation, and molecular stacking, which is beneficial to charge generation and extraction. Based on the PM6:BO-4Cl, the hot-casting OSCs with a wide processing window achieve efficiencies of 18.03% in CB and 18.12% in OX, which are much higher than the devices processed with room temperature solution. Moreover, the hot-casting devices with PM6:BTP-eC9 deliver a remarkable fill factor of 80.31% and efficiency of 18.52% in OX, representing the record value among binary devices with green solvent. This work demonstrates a facile strategy to manipulate the molecular distribution and arrangement for boosting the efficiency of OSCs with high-boiling solvents.

Optimized Crystal Framework by Asymmetric Core Isomerization in Selenium-Substituted Acceptor for Efficient Binary Organic Solar Cells.

Both the regional isomerization and selenium-substitution of the small molecular acceptors (SMAs) play significant roles in developing efficient organic solar cells (OSCs), while their synergistic effects remain elusive. Herein, we developed three isomeric SMAs (S-CSeF, A-ISeF, and A-OSeF) via subtly manipulating the mono-selenium substituted position (central, inner, or outer) and type of heteroaromatic ring on the central core by synergistic strategies for efficient OSCs, respectively. Crystallography of asymmetric A-OSeF presents a closer intermolecular π-π stacking and more ordered 3-dimensional network packing and efficient charge-hopping pathways. With the successive out-shift of the mono-selenium substituted position, the neat films give a slightly wider band gap and gradually higher crystallinity and electron mobility. The PM1 : A-OSeF afford favourable fibrous phase separation morphology with more ordered molecular packing and efficient charge transportation compared to the other two counterparts. Consequently, the A-OSeF-based devices achieve a champion efficiency of 18.5 %, which represents the record value for the reported selenium-containing SMAs in binary OSCs. Our developed precise molecular engineering of the position and type of selenium-based heteroaromatic ring of SMAs provides a promising synergistic approach to optimizing crystal stacking and boosting top-ranked selenium-containing SMAs-based OSCs.

The relationship between parenting styles and adolescent problematic Internet use: A three-level meta-analysis.

Background and aims: Problematic Internet use (PIU) has become a global public health problem. It has been suggested that parenting style is associated with adolescent PIU. However, the evidence in favor of this view is mixed. Based on the PRISMA method, the present study employed three-level meta-analysis approach to investigate the relationship between these two variables and further explore potential moderators. Methods: After a systematic search for published articles, 35 studies were included, reporting 171 effect sizes (N = 40,587). Results: The results showed that positive parenting styles were significantly negatively related to PIU. This association was moderated by gender, age, publication year, and measurements of PIU, but was not by culture and measurements of parenting styles. Negative parenting styles were significantly positively related to PIU, which was moderated by publication year, culture, and sub-types of negative parenting, but not by gender, age, and measurements of both parenting styles and PIU. In addition, the correlation of PIU with negative parenting styles was stronger than that with positive parenting styles. Discussion and Conclusions: The present results demonstrated that parenting styles, especially punitive parenting styles, should be attached to more important when treating adolescent PIU.

H2S Alleviates Neuropathic Pain in Mice by Nrf2 Signaling Pathway Activation.

Neuropathic pain is a chronic pain caused by direct damage to the peripheral or central nervous system, characterized by hyperalgesia, allodynia, and spontaneous pain. Hydrogen sulfide (H2S) therapy has been applied for neuropathic pain treatment, although the underlying mechanisms remain unknown. In this study, we sought to ascertain whether H2S therapy could alleviate neuropathic pain in a model of chronic constriction injury (CCI) and, if so, the potential mechanism. A CCI model was established in mice through a spinal nerve ligation method. Intrathecal injection of NaHS was used to treat CCI model mice. The thermal paw withdrawal latency (TPWL) and mechanical paw withdrawal threshold (MPWT) were used for pain threshold evaluation in mice. A series of experiments including immunofluorescence, enzyme-linked immunosorbent assay, electrophysiological test, mitochondrial DNA (mtDNA) quantification, measurement of ATP content, demethylase activity, and western blot were performed to investigate the specific mechanism of H2S treatment in neuropathic pain. Mice with CCI exposure exhibited a decrease in MPWT and TPWL, an increase in IL-1ß and TNF-α expressions, elevated eEPSP amplitude, an upregulation of mtDNA, and a reduction in ATP production, whereas H2S treatment significantly reversed these changes. Furthermore, CCI exposure induced a remarkable increase in vGlut2- and c-fos-positive as well as vGlut2- and Nrf2-positive cells, an increase in Nrf2 located in the nucleus, and an upregulation of H3K4 methylation, and H2S treatment further enhanced these changes. In addition, ML385, a selective Nrf2 inhibitor, reversed the neuroprotective effects of H2S. H2S treatment mitigates CCI-induced neuropathic pain in mice. This protective mechanism is possibly linked to the activation of the Nrf2 signaling pathway in vGlut2-positive cells.

Early autoimmunity and outcome in virus encephalitis: a retrospective study based on tissue-based assay.

To explore the autoimmune response and outcome in the central nervous system (CNS) at the onset of viral infection and correlation between autoantibodies and viruses. METHODS: A retrospective observational study was conducted in 121 patients (2016-2021) with a CNS viral infection confirmed via cerebrospinal fluid (CSF) next-generation sequencing (cohort A). Their clinical information was analysed and CSF samples were screened for autoantibodies against monkey cerebellum by tissue-based assay. In situ hybridisation was used to detect Epstein-Barr virus (EBV) in brain tissue of 8 patients with glial fibrillar acidic protein (GFAP)-IgG and nasopharyngeal carcinoma tissue of 2 patients with GFAP-IgG as control (cohort B). RESULTS: Among cohort A (male:female=79:42; median age: 42 (14-78) years old), 61 (50.4%) participants had detectable autoantibodies in CSF. Compared with other viruses, EBV increased the odds of having GFAP-IgG (OR 18.22, 95% CI 6.54 to 50.77, p<0.001). In cohort B, EBV was found in the brain tissue from two of eight (25.0%) patients with GFAP-IgG. Autoantibody-positive patients had a higher CSF protein level (median: 1126.00 (281.00-5352.00) vs 700.00 (76.70-2899.00), p<0.001), lower CSF chloride level (mean: 119.80±6.24 vs 122.84±5.26, p=0.005), lower ratios of CSF-glucose/serum-glucose (median: 0.50[0.13-0.94] vs 0.60[0.26-1.23], p=0.003), more meningitis (26/61 (42.6%) vs 12/60 (20.0%), p=0.007) and higher follow-up modified Rankin Scale scores (1 (0-6) vs 0 (0-3), p=0.037) compared with antibody-negative patients. A Kaplan-Meier analysis revealed that autoantibody-positive patients experienced significantly worse outcomes (p=0.031). CONCLUSIONS: Autoimmune responses are found at the onset of viral encephalitis. EBV in the CNS increases the risk for autoimmunity to GFAP.

PD and PI Control for the Lag Consensus of Nonlinear Multiagent Systems With and Without External Disturbances.

In this article, we investigate the lag consensus and lag H∞ consensus problems for second-order nonlinear multiagent systems (MASs) by utilizing the proportional-derivative (PD) and proportional-integral (PI) control methods. On the one hand, a criterion is developed for ensuring the lag consensus of the MAS by choosing an appropriate PD control protocol. Moreover, a PI controller is also provided to guarantee that the MAS can achieve lag consensus. On the other hand, several lag H∞ consensus criteria are also given for the case in which external disturbances appear in the MAS; these criteria are developed by exploiting the PD and PI control strategies. Finally, the devised control schemes and the developed criteria are verified by employing two numerical examples.

Easy and fast prediction of green solvents for small molecule donor-based organic solar cells through machine learning.

Solubility plays a critical role in many aspects of research (drugs to materials). Solubility parameters are very useful for selecting appropriate solvents/non-solvents for various applications. In the present study, Hansen solubility parameters are predicted using machine learning. More than 40 machine models are tried in the search for the best model. Molecular descriptors and fingerprints are used as inputs to get a comparative view. Machine learning models trained using molecular descriptors have shown higher prediction ability than the model trained using molecular fingerprints. Machine learning models trained using molecular descriptors have shown their potential to be easy and fast models compared to the density functional theory (DFT)/thermodynamic approach. Machine learning creates a "black box" connection to the properties. Therefore, minimal computational cost is required. With the help of the best-trained machine learning model, green solvents are selected for small molecule donors that are used in organic solar cells. Our introduced framework can help to select solvents for organic solar cells in an easy and fast way.

Functional roles, regulatory mechanisms and theranostics applications of ncRNAs in alcohol use disorder.

Alcohol use disorder (AUD) is one of the most prevalent neuropsychological disorders worldwide, and its pathogenesis is convoluted and poorly understood. There is considerable evidence demonstrating significant associations between multiple heritable factors and the onset and progression of AUD. In recent years, a substantial body of research conducted by emerging biotechnologies has increasingly highlighted the crucial roles of noncoding RNAs (ncRNAs) in the pathophysiology of mental diseases. As in-depth understanding of ncRNAs and their mechanisms of action, they have emerged as prospective diagnostic indicators and preclinical therapeutic targets for a variety of psychiatric illness, including AUD. Of note, dysregulated expression of ncRNAs such as circRNAs, lncRNAs and miRNAs was routinely found in AUD individuals, and besides, exogenous regulation of partial ncRNAs has also been shown to be effective in ameliorating alcohol preference and excessive alcohol consumption. However, the exact molecular mechanism still remains elusive. Herein, we systematically summarized current knowledge regarding alterations in the expression of certain ncRNAs as well as their-mediated regulatory mechanisms in individuals with AUD. And finally, we detailedly reviewed the potential theranostics applications of gene therapy agents targeting ncRNAs in AUD mice. Overall, a deeper comprehension of functional roles and biological mechanisms of ncRNAs may make significant contributions to the accurate diagnosis and effective treatment of AUD.

The association of childhood maltreatment with Internet addiction: the serial mediating effects of cognitive emotion regulation strategies and depression.

OBJECTIVES: Childhood maltreatment, cognitive emotion regulation strategies (CERSs), and depression can be important in adolescents' Internet addiction. The current study aims to investigate the direct effect of childhood maltreatment on Internet addiction and its indirect effects via CERSs and depression. PARTICIPANTS AND SETTING: 4091 adolescents (age M = 13.64, SD = 1.59; 48.9 % males) were recruited from a public school in China. METHODS: In a cross-sectional design, participants completed the Childhood Trauma Questionnaire-Short Form (CTQ-SF), the Cognitive Emotion Regulation Questionnaire-Short version (CERQ-Short), the Self-Rating Depression Scale (SDS), and the Internet Addiction Test (IAT). A latent structural equation model was used to test the hypotheses. RESULTS: After controlling for age, childhood maltreatment was directly associated with adolescents' Internet addiction (ß = 0.12, p < 0.001). Meanwhile, the serial mediating effect via maladaptive CERSs and depression was 0.02 (95 % CI [0.01, 0.04]), and via adaptive CERSs and depression was 0.001 (95 % CI [0.0004, 0.002]), demonstrating significant serial mediating role of CERSs and depression in this relationship. No gender difference was observed. CONCLUSIONS: The findings suggest that maladaptive CERSs and depression can be potential mechanisms relating childhood maltreatment to adolescents' Internet addiction, while adaptive CERSs can be a less influential factor for reducing Internet addiction.

Double Asymmetric Core Optimizes Crystal Packing to Enable Selenophene-based Acceptor with Over 18 % Efficiency in Binary Organic Solar Cells.

Side-chain tailoring is a promising method to optimize the performance of organic solar cells (OSCs). However, asymmetric alkyl chain-based small molecular acceptors (SMAs) are still difficult to afford. Herein, we adopted a novel asymmetric n-nonyl/undecyl substitution strategy and synthesized two A-D1 A'D2 -A double asymmetric isomeric SMAs with asymmetric selenophene-based central core for OSCs. Crystallographic analysis indicates that AYT9Se11-Cl forms a more compact and order intermolecular packing compared to AYT11Se9-Cl, which contributed to higher electron mobility in neat AYT9Se11-Cl film. Moreover, the PM6 : AYT9Se11-Cl blend film shows a better morphology with appropriate phase separation and distinct face-on orientation than PM6 : AYT11Se9-Cl. The OSCs with PM6 : AYT9Se11-Cl obtain a superior PCE of 18.12 % compared to PM6 : AYT11Se9-Cl (17.52 %), which is the best efficiency for the selenium-incorporated SMAs in binary BHJ OSCs. Our findings elucidate that the promising double asymmetric strategy with isomeric alkyl chains precisely modulates the crystal packing and enhances the photovoltaic efficiency of selenophene-incorporated SMAs.

Synchronization and adaptive control for coupled fractional-order reaction-diffusion neural networks with multiple couplings.

In this paper, two kinds of coupled fractional-order reaction-diffusion neural networks (CFORDNNs) with multiple state couplings or spatial diffusion couplings are proposed. By resorting to the Laplace transform and the properties of Mittag-Leffler functions, sufficient synchronization conditions are derived for the concerned network models. In addition, to guarantee the synchronization of these two networks, several appropriate adaptive control schemes are also developed. Ultimately, the validity of the devised adaptive strategies are verified by adopting some numerical examples with simulation results.

Passivity and Finite-Time Passivity for Multi-Weighted Fractional-Order Complex Networks With Fixed and Adaptive Couplings.

This article presents several new α -passivity and α -finite-time passivity ( α -FTP) concepts for the fractional-order systems with different input and output dimensions, which are distinct from the concepts for integer-order systems and extend the existing passivity and FTP definitions to some extent. On one hand, we not only develop some sufficient conditions for ensuring the α -passivity of the multi-weighted fractional-order complex dynamical networks (MWFOCDNs) with fixed and adaptive couplings, but also discuss the synchronization for the MWFOCDNs based on the α -output-strict passivity ( α -OSP). On the other hand, the α -FTP for the MWFOCDNs with fixed and adaptive couplings are also studied on the basis of the designed state feedback controller, and the relationship between finite-time synchronization (FTS) and α -FTP for the MWFOCDNs is also illustrated. Finally, two numerical examples with simulation results are used to demonstrate the validity of the obtained criteria.

Intermittent Control to Stabilization of Stochastic Highly Non-Linear Coupled Systems With Multiple Time Delays.

This article investigates the stabilization of stochastic highly non-linear coupled systems (SHNCSs) with multiple time delays by using periodically intermittent control (PIC). It is worth noting that coefficients in SHNCSs dissatisfy the linear growth condition, which weakens the previous stability conditions. In addition, PIC and multiple time delays are first introduced into the study of highly nonlinear systems, which leads to the existing methods being inapplicable to investigate the stability of SHNCSs with multiple time delays. Therefore, a novel Halanay-type differential inequality is established, which can be employed to deal with highly nonlinear systems with PIC. Based on the Lyapunov method, the graph theory, and the novel differential inequality, SHNCSs with multiple time delays are first studied, and stability criteria are presented. Next, the theoretical results can be applied to modified FitzHugh-Nagumo models. At last, a numerical example is presented to show the effectiveness of our results.

Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings.

This article mainly delves into the finite-time passivity (FTP) for coupled fractional-order neural networks with multistate couplings (CFNNMSCs) or coupled fractional-order neural networks with multiderivative couplings (CFNNMDCs). Distinguishing from the traditional FTP definitions, several concepts of FTP for fractional-order systems are given. On one hand, we present several sufficient conditions to ensure the FTP for CFNNMSCs by artfully designing a state-feedback controller and an adaptive state-feedback controller. On the other hand, by utilizing some inequality techniques, two sets of FTP criteria for CFNNMDCs are also established on the basis of the state-feedback and adaptive state-feedback controllers. Finally, numerical examples are used to demonstrate the validity of the derived FTP criteria.

Fully Distributed Pull-Based Event-Triggered Bipartite Fixed-Time Output Control of Heterogeneous Systems With an Active Leader.

This article deals with the fully distributed pull-based event-triggered bipartite fixed-time output consensus problem of heterogeneous linear multiagent systems (HLMASs) with an active leader, whose information can be merely accessed by a small fraction of followers. First, a class of fully distributed fixed-time observers is proposed for each follower to estimate the leader's system matrices, position, and control input under the signed communication topology, respectively. Then, based on the estimations of leader's system matrices, two adaptive algorithms are given to solve the regulator equations. Furthermore, the fully distributed fixed-time observer-based controllers associated with state feedback and output feedback are, respectively, proposed by employing the pull-based event-triggered mechanism (ETM) where each agent merely updates controller at its own triggering instants. Correspondingly, some sufficient criteria and the rigorous proofs are provided to ensure the implementation of bipartite output consensus in fixed time by using the Lyapunov stability theory and fixed-time stability theory. Moreover, the strictly positive lower bounds of intervals between two adjacent event-triggered times are derived, which means the Zeno behavior is ruled out. Finally, numerical simulations are performed to demonstrate the theoretical analysis.