Publications by authors named "Wang Wo"

Background: Limited research has been conducted on self-harm among preadolescents in China. This study investigated the influence of multidimensional stress on high levels of self-harm behavior in preadolescents.

Method: This large-scale cross-sectional study of 7-14-year-old primary school students in grades 3-6 was conducted in Southwest China between September and December 2020.

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Glaucoma stands as the leading irreversible cause of blindness worldwide. Regular visual field examinations play a crucial role in both diagnosing and treating glaucoma. Predicting future visual field changes can assist clinicians in making timely interventions to manage the progression of this disease.

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Article Synopsis
  • This study investigates how childhood trauma affects brain activity patterns in depressed adolescents by analyzing resting-state EEG microstates.
  • It compared 66 adolescents with depression to 27 healthy controls, using a clustering algorithm to identify different brain activity states and seeking correlations to traumatic childhood experiences.
  • Results indicated significant differences in EEG microstates between groups, with certain microstate transitions being negatively correlated with emotional abuse scores, suggesting a profound impact of early trauma on brain dynamics in depression.
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Background: Antidepressant response in adults with major depressive disorder (MDD) is probably influenced by personality dimensions. However, personality dimensions in depression and their association with antidepressant treatment in adolescents are relatively unknown. We sought to investigate whether personality traits (PTs) can influence antidepressant treatment response in adolescents with depression.

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Article Synopsis
  • - The study explores the use of chaos game representation (CGR) to analyze microstate sequences in EEG data as potential neurobiomarkers for psychiatric disorders, specifically focusing on patients with first-episode psychosis (FEP) and control subjects.
  • - Two distinct time series were created using CGR: one based on microstate spacing distances and another using complex numbers for microstate coordinates, and various power spectral features were compared between the two groups using machine learning techniques.
  • - Results indicated that the FEP group exhibited significant alterations in microstate oscillatory patterns, and these oscillatory features enhanced machine learning performance compared to traditional methods, suggesting CGR can effectively be applied in psychiatric disorder research.
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Many metallic quantum materials display anomalous transport phenomena that defy a Fermi liquid description. Here, we use numerical methods to calculate thermal and charge transport in the doped Hubbard model and observe a crossover separating high- and low-temperature behaviors. Distinct from the behavior at high temperatures, the Lorenz number [Formula: see text] becomes weakly doping dependent and less sensitive to parameters at low temperatures.

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As primarily an electronic observable, the room-temperature thermopower S in cuprates provides possibilities for a quantitative assessment of the Hubbard model. Using determinant quantum Monte Carlo, we demonstrate agreement between Hubbard model calculations and experimentally measured room-temperature S across multiple cuprate families, both qualitatively in terms of the doping dependence and quantitatively in terms of magnitude. We observe an upturn in S with decreasing temperatures, which possesses a slope comparable to that observed experimentally in cuprates.

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Microstates are analogous to characters in a language, and short fragments consisting of several microstates (k-mers) are analogous to words. We aimed to investigate whether microstate k-mers could be used as neurophysiological biomarkers to differentiate between depressed patients and normal controls. We utilized a bag-of-words model to process microstate sequences, using k-mers with a k range of 1-10 as terms, and the term frequency (TF) with or without inverse-document-frequency (IDF) as features.

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Major depressive disorder (MDD) seriously endangers adolescent mental and physical health. Extracellular vesicles (EVs) are mediators of cellular communication and are involved in many physiological brain processes. Although EV miRNAshave been implicated in adults with major psychiatric disorders, investigation into their effects in adolescent MDDremains scarce.

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Background: Hospital workers have been under intense psychological pressure since the COVID-19 outbreak. We analyzed the psychological status of hospital staff in the late period of the COVID-19 to provide a basis for the construction of global health care after the COVID-19 outbreak.

Methods: We used online surveys to assess participants' self-reported symptoms at the late stage of the outbreak.

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Background: The Coronavirus Disease 2019 (COVID-19) pandemic continues to threaten the physical and mental health of people across the world. This study aimed to understand the psychological impact of this disease on adolescents with major depressive disorder (MDD) at 1 month after the start of the outbreak in China.

Methods: Using the Children's Impact of Event Scale (CRIES-13) questionnaire, we investigated the occurrence of posttraumatic stress disorder (PTSD) in two groups of adolescents: MDD patients who were in continuous antidepressant therapy and healthy controls.

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Background: The outbreak of Coronavirus Disease 2019(COVID-19) caused psychological stress in Chinese adults population. But we are unaware of whether the pandemic causes psychological stress on children.

Methods: We used the Children's Impact of Event Scale questionnaire (CRIES-13) to investigate the degree of Post-traumatic Stress (PTSD) symptoms caused by the pandemic in students selected from schools in Sichuan, Jiangsu, Henan, Yunnan, and Chongqing provinces of China.

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Background & Aim: The coronavirus disease 2019 (COVID-19) pandemic has affected the life and work of people worldwide. The present study aimed to evaluate the rhythm disruptions of life, work, and entertainment, and their associations with the psychological impacts during the initial phase of the COVID-19 pandemic.

Method: A cross-sectional study was conducted from the 10th to 17th March 2020 in China.

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Background: The development of prophylactic interventions for major depressive disorder (MDD) is an important issue in clinical practice. We aimed to compare the relative efficacy of nonpharmacological interventions for relapse prevention in adult patients with MDD.

Methods: Randomized controlled trials investigating nonpharmachological interventions for relapse prevention were included.

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Aims: To investigate the differences in disrupted rhythms between healthy people and patients with functional gastrointestinal disorders (FGIDs) and their associations with mood disorders during the coronavirus disease 2019 (COVID-19) pandemic.

Methods: The rhythm scales were composed of subscales 1 and 2 for the assessment of life-work and entertainment rhythms, respectively; Zung's Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were used to assess mood disorders.

Results: A total of 671 patients with FGIDs and 4373 healthy people successfully participated.

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