Botulinum Toxin Type A Alleviates Androgenetic Alopecia by Inhibiting Apoptosis of Dermal Papilla Cells via Targeting circ_0135062/miR-506-3p/Bax Axis.

Botulinum toxin type A (BTXA) has the potential to treat androgenetic alopecia (AGA); however, its impact on the apoptosis of dermal papillary cells (DPCs) is not yet fully understood. Noncoding RNAs play a crucial role in AGA. In this study, we investigated the potential mechanism by which BTXA alleviates apoptosis induced by dihydrotestosterone (DHT) in DPCs. We assessed the mRNA levels of circ_0135062, miR-506-3p, and Bax using qRT-PCR. Binding interactions were analyzed using RNA pulldown and dual-luciferase assays. Cell viability was determined using a cell counting kit-8 assay, and cell apoptosis was assessed using flow cytometry, TUNEL assays, and western blotting. Our findings revealed that BTXA inhibited the apoptosis of DPCs treated with DHT. Moreover, circ_0135062 overexpression counteracted the protective effect of BTXA on DHT-treated DPCs. MiR-506-3p was found to interact with Bax and inhibit apoptosis in DPCs by suppressing Bax expression in response to DHT-induced damage. Furthermore, circ_0135062 acted as a sponge for miR-506-3p, thereby inhibiting the targeting of Bax expression by miR-506-3p. In conclusion, BTXA exhibited an antiapoptotic effect on DHT-induced DPC injury via the circ_0135062/miR-506-3p/Bax axis.Level of Evidence II This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Enacted Stigma Influences Bereavement Coping Among Children Orphaned by Parental AIDS: A Longitudinal Study with Network Analysis.

Purpose: The study aims to understand how enacted stigma influences bereavement coping at the style (scale) level and the specific pathways at the strategy (item) level. Methods: The longitudinal data of 755 children orphaned by parental Acquired Immune Deficiency Syndrome (AIDS) in rural China were used. Grief processing and deliberate grief avoidance were measured at wave 1 (baseline) and wave 2 (one-year follow-up) to reflect bereavement coping in the contexts of being with family members, being with friends, being with community members, and being alone. Enacted stigma that measured at wave 1 was used to assess the experienced stigma of these AIDS-orphaned children. Network analyses were run following regressions. Results: Controlling for demographics and baseline-level bereavement coping, multivariate regressions revealed that enacted stigma at wave 1 significantly predicted grief processing and deliberate grief avoidance at wave 2. Network analyses showed that, for grief processing, stigma increased searching for meaning alone and with friends and expressing feelings to community members, which then provoked the same strategy across contexts. Meanwhile, stigma triggered the deliberate grief avoidance network by initially suppressing the expression of feelings to community members. Conclusion: Enacted stigma contributes to bereavement coping. Stigma stirs up complex feelings but forces AIDS-orphaned children to suppress expressions, and it increases needs to process grief through meaning making but cuts supporting forces by promoting avoidance. Interventions are imperative to reduce stigma, improve emotion regulation, and facilitate meaning making for people bereaved by stigmatized deaths.

Basic psychological need satisfaction and aggressive behavior: the role of negative affect and its gender difference.

Background: Basic psychological need satisfaction (BPNS) is a significant factor in a person's development, especially for adolescents, and the failure to satisfy these basic needs may contribute to individuals' aggressive behavior. However, it is still unclear about the underlying mechanism by which BPNS is negatively associated with aggressive behavior. This study aimed to explore the relationship between BPNS and aggressive behavior in Chinese adolescents, with a focus on the mediating role of negative affect and its gender differences. Method: A sample of 1,064 junior high school students from three schools in China were selected randomly for the cross-sectional survey. The revised Need Satisfaction Scale, the Positive and Negative Affect Schedule, and Youth's Self-Report were used to measure BPNS, affect, and aggressive behavior. The proposed model was examined by the structural equation modeling test and multi-group comparison analysis. Results: The results showed that BPNS was negatively linked with adolescents' aggressive behavior, and this effect was mediated by negative affect. Moreover, multigroup analysis demonstrated that there existed a stronger negative association between BPNS and negative affect in female group. Also, the mediating effect of negative affect in the model was greater for girls. Conclusions: Our findings highlighted the importance of BPNS in adolescents' social behavior (i.e., aggressive behavior), and reveal disparate patterns in how BPNS affects aggressive behavior in girls as compared to boys.

Study on a job competence evaluation system for resident physicians (including integrated postgraduates) receiving standardized training.

BACKGROUND: Standardized training for resident physicians is the primary form of postgraduate medical education, and it plays a pivotal role in healthcare safety and industry stability. Currently, it has garnered significant attention from healthcare institutions. METHODS: By conducting a comprehensive literature review and a Delphi consultation in June 2022 for which 40 experts in clinical medicine, public health, and other related fields in China were invited. The indicators were adjusted according to the results of the consultation, and the final indicator weights were determined through an analytic hierarchy process. RESULTS: The response rate was 100%, and the expert authority coefficient was 0.879. The consistency among the experts on the tertiary indicators, as measured by Kendall's W, was 0.675 (χ2 = 42.516, p < 0.001). Based on the results of the expert consultation, a job competence evaluation system for resident physicians (including integrated postgraduates) receiving standardized training was established, which included 6 primary indicators, 18 secondary indicators, and 116 tertiary indicators. The weights for the primary indicators, namely professional quality, skills and knowledge, patient care, communication and collaboration, teaching skills, and lifelong learning, were 0.313, 0.248, 0.181, 0.083, 0.066, and 0.110, respectively. The top three secondary indicators in terms of combined weights were clinical skills (0.122), professional ethics (0.120), and professional dedication (0.109). The three tertiary indicators with the highest scores were "maintains collaboration with peers and colleagues in patient treatment," "has clinical thinking skills, makes diagnosis and treatment decisions based on analysis of evidence, and has the ability to administer suitable treatments," and "abides by laws and discipline and refuses to seek personal gains in medical practice"; their combined weights were 0.035, 0.028, and 0.027, respectively. CONCLUSION: This study has established a concrete, objective, and quantifiable competency assessment index system for standardized training of clinical resident physicians (including integrated postgraduates). This system provides a foundation for the quantitative evaluation of the competency of clinical resident physicians (including integrated postgraduates) undergoing standardized training.

Reversely Trapping Isolated Atoms in High Oxidation State for Accelerating the Oxygen Evolution Reaction Kinetics.

Developing efficient electrocatalysts for the oxygen evolution reaction (OER) is paramount to the energy conversion and storage devices. However, the structural complexity of heterogeneous electrocatalysts makes it a great challenge to elucidate the dynamic structural evolution and OER mechanisms. Here, we develop a controllable atom-trapping strategy to extract isolated Mo atom from the amorphous MoOx -decorated CoSe2 (a-MoOx @CoSe2 ) pre-catalyst into Co-based oxyhydroxide (Mo-CoOOH) through an ultra-fast self-reconstruction process during the OER process. This conceptual advance has been validated by operando characterizations, which reveals that the initially rapid Mo leaching can expedite the dynamic reconstruction of pre-catalyst, and simultaneously trap Mo species in high oxidation state into the lattice of in situ generated CoOOH support. Impressively, the OER kinetics of CoOOH has been greatly accelerated after the reverse decoration of Mo species, in which the Mo-CoOOH affords a markedly decreased overpotential of 297 mV at the current density of 100 mA cm-2 . Density functional theory (DFT) calculations demonstrate that the Co species have been greatly activated via the effective electron coupling with Mo species in high oxidation state. These findings open new avenues toward directly synthesizing atomically dispersed electrocatalysts for high-efficiency water splitting.

Predict the Polarizability and Order of Magnitude of Second Hyperpolarizability of Molecules by Machine Learning.

In order to determine the polarizability and hyperpolarizability of a molecule, several key parameters need to be known, including the excitation energy of the ground and excited states, the transition dipole moment, and the difference of dipole moment between the ground and excited states. In this study, a machine-learning model was developed and trained to predict the molecular polarizability and second-order hyperpolarizability on a subset of QM9 data set. The density of states was employed as input to the model. The results demonstrated that the machine-learning model effectively estimated both polarizability and the order of magnitude of second-order hyperpolarizability. However, the model was unable to predict the dipole moment and first-order hyperpolarizability, suggesting limitations in its ability to predict the difference of dipole moment between the ground and excited states. The computational efficiency of machine-learning models compared to traditional quantum mechanical calculations enables the possibility of large-scale screening of molecules that satisfy specific requirements using existing databases. This work presents a potential solution for the efficient exploration and analysis of molecules on a larger scale.

Colloid driven low supersaturation crystallization for atomically thin Bismuth halide perovskite.

It is challenging to grow atomically thin non-van der Waals perovskite due to the strong electronic coupling between adjacent layers. Here, we present a colloid-driven low supersaturation crystallization strategy to grow atomically thin Cs3Bi2Br9. The colloid solution drives low-concentration solute in a supersaturation state, contributing to initial heterogeneous nucleation. Simultaneously, the colloids provide a stable precursor source in the low-concentration solute. The surfactant is absorbed in specific crystal nucleation facet resulting in the anisotropic growth of planar dominance. Ionic perovskite Cs3Bi2Br9 is readily grown from monolayered to six-layered Cs3Bi2Br9 corresponding to thicknesses of 0.7, 1.6, 2.7, 3.6, 4.6 and 5.7 nm. The atomically thin Cs3Bi2Br9 presents layer-dependent nonlinear optical performance and stacking-induced second harmonic generation. This work provides a concept for growing atomically thin halide perovskite with non-van der Waal structures and demonstrates potential application for atomically thin single crystals' growth with strong electronic coupling between adjacent layers.

Fine-Tuning Tridentate Ligands for the Construction of Nanotube-Based Boron Imidazolate Frameworks with High Chemical Stability.

Two unusual nanotube-based boron imidazolate frameworks (BIF-134 and BIF-135) were synthesized by a dual-ligand synthetic strategy under solvothermal conditions. In the structure of BIF-134 ([Co(BH(2-mim)3)(BTC)1/3](HBH(2-mim)3)1/3(NMA); 2-mim = 2-methylimidazole, NMA = N-methylacetamide, and BTC = 1,3,5-benzene tricarboxylate), one part of boron imidazolate ligands participate in the structural skeleton coordination, while another part of boron imidazolate ligands act as guest molecules that are located between adjacent nanotubes, which enhance the stability of the framework by the host-guest interaction and the pore space partition effects. It was found to be highly stable in air, water, organic solvents, and a wide pH range (pH 0-12). However, in the structure of BIF-135 ([Zn(BH(2-mim)3)(CHTC)1/3]; CHTC = 1,3,5-cyclohexanetricarboxylate), all boron imidazolate ligands participate in the structural skeleton coordination; there is no boron imidazolate guest molecule in the pores. The topology of BIF-135 is similar to that of BIF-134 by replacing BTC with CHTC and replacing Co with Zn. Furthermore, the obtained BIFs exhibited third-order nonlinear optical properties and potential optical limiting applications demonstrated by reverse saturable absorption.

Data-driven generation of mixed X-anion perovskite properties.

Mixed X-anion perovskites, such as CsPbX3 (X = Cl, Br, or I), play an important role in photovoltaic applications. The massive disordered structures associated with mixed anions produce the need for property calculations. However, traditional density functional theory (DFT) computational tools are limited by their computational efficiency to generate the properties of a large number of structures quickly. Researchers have proposed supervised deep learning to forecast crystal properties. For such a supervised convolutional neural network (CNN), we introduce an adversarial loss function that allows for consistent or lower errors with a fewer samples. Meanwhile, we have trained parameterized quantum circuits (PQCs) of CNNs and auto-encoder networks for extracting structural representations. PQCs of deep learning, also named quantum deep learning or quantum machine learning, have been first applied in the research of perovskites and obtained an RMSE (root mean squared error) of less than 1 meV. Our work demonstrates that adversarial learning training mechanisms and PQC-based quantum deep learning will emerge for extensive and deep exploration of data-driven material formation prediction tasks.

Affective Profiles and Psychosocial Adjustment among Chinese Adolescents and Adults with Adverse Childhood Experiences: A Person-Centered Approach.

Purpose: Two studies were conducted to explore the patterns of positive affect (PA) and negative affect (NA) while considering collectivist cultural specificity (dialecticism) and to examine the associations of affective profiles with psychosocial adjustment. Methods: We used two Chinese samples, one comprising adults with adverse childhood experiences (N = 488) and one comprising ordinary adolescents (N = 635). The participants completed scales on PA, NA, and psychosocial adjustment, including mental health problems (depressive symptoms, anxiety), personal strengths (self-esteem, gratitude, resilience), and life satisfaction. Results: Three profiles were identified through latent profile analysis: well-adjusted (high PA, low NA), low affective (low PA, low NA), and moderate affective (moderate PA, moderate NA). Participants in the well-adjusted profile had the fewest mental health problems (depressive symptoms, anxiety) and scored highest on personal strengths (self-esteem, gratitude, resilience) and life satisfaction. Participants in the low affective profile had fewer mental health problems than those in the moderate affective profile. Conclusion: Individual differences and cultural variations should be considered when exploring affective profiles. Future interventions aimed at promoting affective well-being should accommodate dialecticism and individual differences in the target population. Supplementary Information: The online version contains supplementary material available at 10.1007/s10902-022-00566-7.

Long-Term Trajectories of Depressive Symptoms Among Children Affected by Parental HIV: A 12-Year Follow-Up Study.

The present study explored the trajectories of depressive symptoms over 12 years spanning from childhood to emerging adulthood and the between-trajectory differences in psychosocial adjustment among Chinese children (N = 492, 52.8% boys, aged 6 to 18 years at baseline) affected by parental HIV. Rebounding (12.6%), resilient (64.8%), and improving  (22.6%) trajectories were identified. Individuals in the rebounding trajectory reported the highest levels of psychological distress and the lowest levels of subjective well-being, positive self-regard, and personal strengths in adulthood. Individuals in the resilient trajectory reported lower levels of psychological distress and negative affect than those in the improving trajectory. The findings support the development of programs by policymakers and practitioners to improve the psychosocial adjustment of children who have been affected by parental HIV while considering individual differences in the trajectories of depressive symptoms.

Long-term effects of a resilience-based intervention on mental health of children affected by parental HIV in China: Testing the mediation effects of emotion regulation and coping.

Resilience-based interventions have been suggested to improve mental health among children affected by parental HIV. Very few studies, however, have explicitly tested the mechanisms of change underlying the effects of resilience-based interventions on mental health among this group of children. The present study utilized a cluster randomized controlled trial to determine the effects of the Child-Caregiver-Advocacy Resilience (ChildCARE) intervention on mental health for children affected by parental HIV. Specifically, we examined the effects of the intervention on three mental health outcomes (i.e., depressive symptoms, school anxiety, loneliness) and whether emotion regulation and coping played mediating roles in the intervention's effectiveness. Child-caregiver dyads (N = 790) were randomly assigned by clusters to three intervention groups and a control group. Children reported on mental health outcomes for 36 months at 6-month intervals. Latent growth curve models showed that there were no direct impacts of the ChildCARE intervention on changes in mental health outcomes beyond 18-month follow-up. Mediation analyses showed that the ChildCARE intervention yielded significant improvements in positive coping, but not negative coping or emotion regulation at 18 months. Emotion regulation, positive coping, and negative coping were consistently associated with the intercepts (i.e., mean at 18 months) of mental health outcomes. Negative coping also significantly predicted the rates of change of mental health outcomes over time. Findings provide important implications for future resilience-based intervention development and highlight the promise of interventions that aim to strengthen emotion regulation and coping skills to improve mental health for children affected by parental HIV.

The role of emotions as mechanisms of mid-test warning messages during personality testing: A field experiment.

This study focuses on the role of emotions in personnel selection and faking research. In particular, we posit that emotions are likely to be activated when applicants receive warning messages from organizations. Drawing on Nabi (Nabi, Communication Theory, 9, 1999, 292) cognitive-functional model of discrete negative emotions, we propose and empirically test the effects of three discrete negative emotions (guilt, fear, and anger) triggered by a warning message during a personality test on personality score accuracy and perceived test fairness. Participants in this within-subjects field experiment were 1,447 applicants for graduate school at a large public university in China. They completed two parallel forms of a personality test: one within a selection context, and another within a developmental context 6 months later as a baseline measure. In the selection context, a warning (or a control) message was randomly assigned to participants during the personality test. Emotions and perceived test fairness were measured after the test was completed. Results indicated that guilt, fear, and anger each played a unique role. Guilt explained how mid-test warnings improved personality score accuracy among fakers, whereas fear accounted for why nonfakers over-corrected their personality scores. Finally, anger explained why the mid-test warnings reduced perceived test fairness for both fakers and nonfakers. Theoretical and practical implications are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Effects of a Multilevel Resilience-Based Intervention on Mental Health for Children Affected by Parental HIV: A Cluster Randomized Controlled Trial.

The present study aimed to examine the efficacy of the Child-Caregiver-Advocacy Resilience (ChildCARE) intervention, a multilevel resilience-based psychosocial intervention, on mental health outcomes, including depressive symptoms, school anxiety, and loneliness, among children affected by parental HIV in central China. Seven hundred and ninety children (51.6% boys, 6-17 years of age) affected by parental HIV were randomly assigned by cluster to a control group or one of three intervention groups designed to test the three conditions of the ChildCARE intervention (child-only, child + caregiver, child + caregiver + community). Linear mixed-effects modeling was performed to test the intervention effect at 6, 12, and 18 months. The intervention did not yield significant changes in mental health outcomes in the child-only group at any follow-ups, whereas significant reductions in depressive symptoms and loneliness were observed in the child + caregiver group at 12 months. The observed intervention effects were not sustained at 18 months. Also, children who received the additional community component that, was implemented after 12 months did not show larger improvements in mental health outcomes than the control group at 18 months. Lastly, older children (i.e., ≥12 years) were found to benefit more from the intervention than their younger counterparts (i.e., <12 years). Overall, the findings provide some support for the promise of multilevel resilience-based interventions in improving mental health of children affected by parental HIV, but more research is needed to further determine whether multilevel resilience-based interventions can yield sustained effects on mental health.

Novel Third-Order Nonlinear Optical Materials with Craig-Möbius Aromaticity.

Electron delocalization in aromatic materials significantly impacts their third-order nonlinear optics (NLO). Despite organometallic complexes with Craig-Möbius aromaticity attracting great attention for their unusual physicochemical properties, their third-order NLO have been little studied to date. Herein, 12 Craig-Möbius aromatic organometallics with a stable structure similar to osmapentalyne, namely, carbolong complexes, are screened by DFT. They exhibit high third-order NLO responses because of the d and p electron delocalization in the organometallic ring. Furthermore, electron-hole distribution analyses draw a conclusion that extending the conjugated plane will increase the π-conjugation system to enhance the local excitation in the plane, and the introduction of typical aromatic ligands can result in the organometallic ring-to-ligand charge transfer (RLCT), which are effective methods to improve the third-order NLO response. This study opens a new window in the application of Craig-Möbius aromatic complexes and provides a new approach for third-order NLO materials design.

Tin Metal Cluster Compounds as New Third-Order Nonlinear Optical Materials by Computational Study.

It is quite appealing but challenging to predict and synthesize new nonlinear optical (NLO) materials with exceptional performance. Herein, the different Sn4 cluster core structures and third-order NLO properties are studied through electronic structure, excited hole-electron, bonding character, and aromaticity analysis. As a result, Sn4 clusters with ring core structure (Sn4-R) not only have the smallest Egap, the largest UV-vis response intensity, but also the strongest third-order NLO response in our work. As proved by natural bond orbitals' (NBO) analysis, electron localization function (ELF), and adaptive natural density partitioning (AdNDP), the Sn44+ has two in-plane four center-two electron (4c-2e) Sn-Sn σ-bonds, resulting in a good delocalization. For the first time, delocalization of metal cluster cores in tin clusters that is beneficial to the third-order NLO response is proposed, which provides a new guidance to design and prepare third-order NLO materials.

Transport Behavior of Oil in Mixed Wettability Shale Nanopores.

Shale oil reserves play an important role in the oil & gas industry. The investigation of oil transport behavior in shale nanopores is crucial in the successful exploitation of shale oil reservoirs. However, the transport mechanisms of oil in shale nanopores are still not understood. In this paper, a model for oil transport through a single nanopore was established by considering mixed wettability, surface roughness, varying viscosity, and the effects triggered by adsorbed organic matter. The organic surface ratio of a single nanopore was used to quantify mixed wettability, while the effects of adsorbed organic matter were estimated by the surface coverage and the adsorption thickness. The entire mathematical model was simplified into several equations to discuss the contributions of each mechanism. The results showed that to accurately predict the oil transport properties in mixed wettability shale nanopores, it is necessary to consider varying viscosity, wettability alteration, and the oil molecule structure. Adsorbed organic matter led to increase in oil flow capacity by altering the surface wettability. However, the oil flow capacity was greatly reduced when varying viscosity was considered. Additionally, the contributions of each mechanism varied with the pore type. Furthermore, increasing surface roughness significantly reduced the oil flow capacity in both organic and inorganic nanopores. This work provides a better understanding of oil transport behavior in mixed-wettability shale nanopores and a quantitative framework for future research.

Teachers' quality of work life and attitudes toward implementing a psychosocial intervention for children affected by parental HIV/AIDS: roles of self-efficacy and burnout.

ABSTRACT Several studies have highlighted that facilitators' attitudes toward interventions are crucial for implementing innovative psychosocial interventions. However, in the emerging implementation science field, little research has examined how organizational and individual factors may influence teachers' positive attitudes and readiness toward evidence-based interventions. The current study investigated the association between teachers' quality of work life and their attitudes toward an innovative psychosocial intervention for children affected by parental HIV/AIDS; the study also probed the potential indirect roles of self-efficacy and burnout. A total of 157 teachers with different levels of involvement in the intervention study were recruited from 47 schools. Our results revealed that teachers' quality of work life was positively associated with their attitudes toward the intervention directly and indirectly through enhanced self-efficacy and reduced burnout. The findings highlight the importance of organizational and individual factors in successfully implementing innovative psychosocial interventions for vulnerable children in organizations such as schools. Researchers should work with organizations to provide the necessary quality of work life and sufficient training to semi-professionals in order to boost their self-efficacy, reduce their burnout, and improve their attitudes toward innovative intervention programs to achieve the expected effectiveness of the interventions, particularly in resource-limited regions.

Error-related negativity and error awareness in a Go/No-go task.

Error monitoring is crucial for the conscious error perception, however, the role of early error monitoring in error awareness remains unclear. Here, we investigated the relation between the ERN and error-related theta oscillations and the emergence of error awareness by conducting time- and phase-locked averaging analysis based on 4-8 Hz filtered data and phase-locked time frequency analysis. Results showed that while the ERN did not differ significantly between aware and unaware errors, theta power was stronger for aware errors than for unaware errors. Further, when continuous EEG was filtered outside the theta band, the ERN results confirmed this pattern. Additionally, when the non-phase-locked component was removed from continuous EEG, stronger theta power was still observed in aware errors compared to unaware errors. Collectively, these findings may suggest that (1) the ERN emerges from phase-locked component of theta band EEG activities; (2) the ERN engages in conscious error perception and serves the emerging error awareness through the activity of theta oscillations. Thus, early error monitoring is a precursor to error awareness, but this relationship is masked by high-frequency activity in aware errors when the ERN is not filtered outside the theta band in the Go/No-go task.

Effects of Peer Victimization and Perceived Social Support on Daily Negative Affect and Sleep Outcomes.

Objectives: The purpose of this study was to examine the effects of peer victimization-measured at the daily and cumulative levels-on daily negative affect and multiple sleep parameters including subjective sleep quality, sleep duration, and sleep continuity (i.e., night awakening) among children affected by parental HIV from rural China. This study also aimed to test the moderation effects of perceived social support and sex in these associations. Methods: A total of 637 children (50.4% boys, 8-15 years of age) affected by parental HIV self-reported measures on cumulative peer victimization (i.e., the experience of victimization during the past 6 months) and perceived social support. They were also asked to report daily peer victimization, daily negative affect, and sleep outcomes over three consecutive days. Results: Multilevel models showed that cumulative peer victimization was associated with both daily negative affect and night awakenings, whereas these associations became statistically nonsignificant after controlling for trait negative affect. Daily peer victimization was significantly related to daily negative affect. All these associations were consistent for boys and girls. There were no buffering effects of perceived social support on these associations. Conclusions: The results suggest that peer victimization may contribute to daily negative emotional experiences among children affected by parental HIV. Interventions targeting psychological wellbeing among children affected by parental HIV may need to incorporate peer victimization component.