Objective: Previous research has explored a variety of mental disorders associated with Internet Gaming Disoder (IGD) and Social Media Addiction (SMA). To date, few studies focused on the network characteristics and investigated mood and sleep symptoms across SMA and IGD of adolescence at a group-specific level. This study aims to identify different characteristics of IGD and SMA and further determine the group-specific psychopathology process among adolescents. Methods: We conducted a cross-sectional study to recruit a cohort of 7,246 adolescents who were scored passing the cutoff point of Internet Gaming Disorder Scale-Short Form and Bergen Social Media Addiction Scale, as grouped in IGD and SMA, or otherwise into the control group. Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-item, and Pittsburgh Sleep Quality Index were assessed for the current study, and all assessed items were investigated using network analysis. Results: Based on the analytical procedure, the participants were divided into three groups, the IGD group (n=789), SMA group (n=713) and control group (n=5,744). The edge weight bootstrapping analysis shows that different groups of networks reach certain accuracy, and the network structures of the three groups are statistically different (pcontrol-IGD=0.004, pcontrol-SMA<0.001, pIGD-SMA<0.001). The core symptom of SMA is “feeling down, depressed, or hopeless”, while IGD is “feeling tired or having little energy”. Conclusion Although IGD and SMA are both subtypes of internet addiction, the psychopathology processes of IGD and SMA are different. When dealing with IGD and SMA, different symptoms should be addressed.

Background:Slight mucosal lesions in the early stage of gastric cancer(GC)are difficult to recognize,and the miss rate of early GC by conventional endoscopy is high.Artificial intelligence(AI)systems can assist in the identification of gastric neoplastic lesions and reduce miss rate,but it is not clear whether AI-assisted endoscopic screening is cost-effective.Aims:The subjects of this study were to evaluate the cost-effectiveness of a population-based endoscopy screening program for GC in high-incidence countries(China,Japan and South Korea),and to explore the applicability of domestic AI--Intelligent and real-time endoscopy analytical device(IREAD)-assisted endoscopy for GC screening in these three countries.Methods:Based on the natural history of GC,a Markov model with cycle year of 1 year was constructed to compare cost-effectiveness of two strategies for GC screening in recommended age group:no screening(the control strategy),conventional endoscopy screening and IREAD-assisted endoscopy screening.Data such as transition probabilities of different states and treatment costs were obtained from previously published studies.The cost-effectiveness analysis was conducted from the perspective of society by calculating cost,Quality adjusted life years(QALY),Incremental cost effectiveness ratio(ICER).Results:The cohort results showed that 15.87%and 24.52%of GC-related deaths could be respectively avoid by conventional endoscopy screening and IREAD-assisted endoscopy screening in China,which the screening effects were similar to Japan;In South Korea,Conventional endoscopic screening and IREAD-assisted endoscopic screening averted 41.34%and 53.15%of GC-related deaths,respectively.Between the two strategies,IREAD-assisted endoscopic screening is more economic,with ICER of $34 827.61/QALY,$87 978.71/QALY and $10 574.30/QALY in China,Japan and South Korea,respectively,which were lower than the willingness-to-pay(WTP)threshold.Conclusions:When the threshold of WTP is 3 times Gross domestic product per capita,the application of AI-assisted endoscopy for GC screening in age-specific population in high-incidence countries may be more cost-effective.Meanwhile,this study provides important evidence for the promotion of domestic IRAED-assisted endoscopy in GC screening in China,Japan and South Korea.

OBJECTIVES: Shelter hospital was an alternative way to provide large-scale medical isolation and treatment for people with mild coronavirus disease 2019 (COVID-19). Due to various reasons, patients admitted to the large shelter hospital was reported high level of psychological distress, so did the healthcare workers. This study aims to introduce a comprehensive and multifaceted psychosocial crisis intervention model. METHODS: The psychosocial crisis intervention model was provided to 200 patients and 240 healthcare workers in Wuhan Wuchang shelter hospital. Patient volunteers and organized peer support, client-centered culturally sensitive supportive care, timely delivery of scientific information about COVID-19 and its complications, mental health knowledge acquisition of non-psychiatric healthcare workers, group activities, counseling and education, virtualization of psychological intervention, consultation and liaison were exhibited respectively in the model. Pre-service survey was done in 38 patients and 49 healthcare workers using the Generalized Anxiety Disorder 7-item (GAD-7) scale, the Patient Health Questionnaire 2-item (PHQ-2) scale, and the Primary Care PTSD screen for the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (PC-PTSD-5). Forty-eight healthcare workers gave feedback after the intervention. RESULTS: The psychosocial crisis intervention model was successfully implemented by 10 mental health professionals and was well-accepted by both patients and healthcare workers in the shelter hospital. In pre-service survey, 15.8% of 38 patients were with anxiety, 55.3% were with stress, and 15.8% were with depression; 16.3% of 49 healthcare workers were with anxiety, 26.5% were with stress, and 22.4% were with depression. In post-service survey, 62.5% of 48 healthcare workers thought it was very practical, 37.5% thought more practical; 37.5% of them thought it was very helpful to relief anxiety and insomnia, and 27.1% thought much helpful; 37.5% of them thought it was very helpful to recognize patients with anxiety and insomnia, and 29.2% thought much helpful; 35.4% of them thought it was very helpful to deal with patients' anxiety and insomnia, and 37.5% thought much helpful. CONCLUSIONS Psychological crisis intervention is feasible, acceptable, and associated with positive outcomes. Future tastings of this model in larger population and different settings are warranted.
Humans ; COVID-19 ; Sleep Initiation and Maintenance Disorders ; Crisis Intervention ; Psychosocial Intervention ; SARS-CoV-2 ; Mental Health ; Depression/epidemiology* ; Health Personnel/psychology* ; Anxiety/etiology*

Objective:To explore the toxic effect of carbon black nanoparticles on human bronchial epithelial cells, and identify the differentially expressed circular RNA based on the full transcriptome high-throughput sequencing, so as to provide evidence for the development of biomarkers exposed to carbon black nanoparticles and their application on epigenetic toxicology.Methods:In June 2020, 16 HBE cells were treated with carbon black nanoparticles at concentrations of 20, 40 and 80 μg/ml, and 16 HBE cells without any intervention were used as the control group. The cytotoxicity of carbon black nanoparticles was detected by CCK8 and LDH experiments. Real-time quantitative fluorescent PCR (qRT-PCR) and ELISA were used to detect the changes of interleukin-6 (IL-6) and interleukin-8 (IL-6, IL-8) mRNA and protein levels of carbon black nanoparticles with concentration gradient after 72 h exposure. Western blot analysis was conducted to detect the expression levels of toll-like receptor 4 (TLR4), phosphorylated nuclear factor-κB (P-NF-κB), apoptosis-related speckled protein (ASC) and Caspase-1 associated with nuclear factor-κB. According to high-throughput sequencing results, differentially expressed Circrnas were screened and identified by qRT-PCR, and those with stable differentially expressed circrnas and the strongest association with the NF-κB pathway were selected for ring performance identification.Results:After being exposed to carbon black nanoparticles for 72 h, the activity of 16HBE cells decreased significantly ( P<0.05), and the release of lactate dehydrogenase increased significantly ( P<0.05). Compared with control group, mRNA expression levels of IL-6 and IL-8, protein levels of IL-6 and IL-8 were increased, and protein levels of TLR4, p-NF-κB, ASC and Caspase-1 were significantly up-regulated in 16 HBE cells of different concentrations, with statistical significance ( P<0.05). Compared with the control group, a total of 492 differentially expressed circular Rnas (|log2 FC|>1) were detected. Among the 5 differentially expressed ( P<0.05) circular Rnas, circ_002642 was selected as the object of subsequent research on circular Rnas, affter 72 hours of exposure to 80 μg/ml CBNPs, 16HBE cells showed signlficantly higher expression of circ_002642 ( P<0.05) . Conclusion:Carbon black nanoparticles can induce differentially expressed circular RNAs associated with inflammatory response in human bronchial epithelial cells.

Objective:To explore the toxic effect of carbon black nanoparticles on human bronchial epithelial cells, and identify the differentially expressed circular RNA based on the full transcriptome high-throughput sequencing, so as to provide evidence for the development of biomarkers exposed to carbon black nanoparticles and their application on epigenetic toxicology.Methods:In June 2020, 16 HBE cells were treated with carbon black nanoparticles at concentrations of 20, 40 and 80 μg/ml, and 16 HBE cells without any intervention were used as the control group. The cytotoxicity of carbon black nanoparticles was detected by CCK8 and LDH experiments. Real-time quantitative fluorescent PCR (qRT-PCR) and ELISA were used to detect the changes of interleukin-6 (IL-6) and interleukin-8 (IL-6, IL-8) mRNA and protein levels of carbon black nanoparticles with concentration gradient after 72 h exposure. Western blot analysis was conducted to detect the expression levels of toll-like receptor 4 (TLR4), phosphorylated nuclear factor-κB (P-NF-κB), apoptosis-related speckled protein (ASC) and Caspase-1 associated with nuclear factor-κB. According to high-throughput sequencing results, differentially expressed Circrnas were screened and identified by qRT-PCR, and those with stable differentially expressed circrnas and the strongest association with the NF-κB pathway were selected for ring performance identification.Results:After being exposed to carbon black nanoparticles for 72 h, the activity of 16HBE cells decreased significantly ( P<0.05), and the release of lactate dehydrogenase increased significantly ( P<0.05). Compared with control group, mRNA expression levels of IL-6 and IL-8, protein levels of IL-6 and IL-8 were increased, and protein levels of TLR4, p-NF-κB, ASC and Caspase-1 were significantly up-regulated in 16 HBE cells of different concentrations, with statistical significance ( P<0.05). Compared with the control group, a total of 492 differentially expressed circular Rnas (|log2 FC|>1) were detected. Among the 5 differentially expressed ( P<0.05) circular Rnas, circ_002642 was selected as the object of subsequent research on circular Rnas, affter 72 hours of exposure to 80 μg/ml CBNPs, 16HBE cells showed signlficantly higher expression of circ_002642 ( P<0.05) . Conclusion:Carbon black nanoparticles can induce differentially expressed circular RNAs associated with inflammatory response in human bronchial epithelial cells.

The implementation of artificial intelligence courses in medical colleges is of great significance to the cross-integration of artificial intelligence and medical fields. However, there are problems such as the lack of basic knowledge of artificial intelligence, the lack of closely related teaching materials, and the difficulty in copying the teaching mode of medical courses. Based on the above problems, through the establishment of artificial intelligence course in our school, the teaching implementation process and teaching effects have been summarized and analyzed, aiming at exploring the artificial intelligence curriculum system which is suitable for medical undergraduate students, so as to improve the students' ability of using artificial intelligence technology for medical project practice, promote the combination of medical and engineering, and provide reference for the teaching reform of undergraduate artificial intelligence courses in medical colleges at home and abroad.

Objective:To explore the auxiliary 3D rapid prototyping technology of adult penis virtual surgery simulation on the basis of the force feedback, thus to improve the success rate of surgery, to reduce complications and to ensure the operation safety and reliability.Methods:Twenty cases of Inner Mongolia adult male (20-50 years old) were selected from January 2009 to December 2015 in the Department of Burns and Plastic Surgery, Inner Mongolia Medical University Affiliated Hospital. The two-dimensional CT data from the iliac crest edge to edge of penis continuously were input into the computer to reconstruct 3D penis and adjacent structure model using Magics Rapid-prototyping software. Under the Free Form system, digital virtual simulation reconstructive surgery was carried out based on force feedback device for adult penis.Results:Using Free Form system, virtual plastic and reconstructive surgery was carried on the adult penis, which could be used for penis optional operation, the three dimensional model for quantitative operation design to choose the best surgical approach. This technique provided a new technical means to avoid complications happened.Conclusions:Penis RP model can accurately reflect the complex anatomical characteristics and the internal space of the area adjacent to the relationship, based on force feedback, make the performer from the visual, auditory and tactile perception to simulate procedures for accurate adult penile reconstructive surgery and to improve clinical application value.

Objective:To construct a surface model of penis and adjacent structures with clear anatomical features by using the three-dimensional laser scanning technology and to explore the application value in the three-dimensional reconstruction of adult penis soft tissue.Methods:Sixty cases of healthy male subjects (25 to 28 years old) were chosen from January to December 2019 from Inner Mongolia region in Inner Mongolia Medical University Hospital; subjects were divided into 3D digital model measurement and manual measurement groups, each 30 cases. 3D digital model group was measured with 3D laser scanning for adult penis and adjacent to the structure of three-dimensional digital model of the related software on the penis morphological measurement. The results of the manual measurement group was compared with those of the 3D digital model group.Results:The model obtained by 3D laser scanning could rotate and scale smoothly, observe the penis and adjacent structure from any angle, conduct simulation operation, and complete measurement quickly and accurately, with no significant difference between the 3D digital model and manual measurement results.Conclusions:3D laser scanning technology is a simple, accurate and efficient method for soft tissue reconstruction and non-contact measurement of adult penis. The measurement results are completely reliable, and the measurement error conforms to the requirements of anthropometry, providing an important morphological data source for clinical penile plastic surgery.

To investigate psychological characteristics in different clinical subgroups of insomniacs, and to provide the basis for the accurate simplification of cognitive behavioral therapy for insomnia.
 Methods: A total of 212 insomniacs from November 2014 to June 2017 in Clinical Psychology Department or Sleep Department of 2 general hospitals in Hunan Province were included in convenient and classified into sleep onset insomnia (SOI), difficulty maintaining insomnia (DMI), early morning awakening insomnia (EMAI), and combined insomnia (CI) subgroups. Ford Insomnia Response to Stress Test (FIRST), Simplified Coping Style Questionnaire (SCSQ), Dysfunctional Beliefs and Attitudes about Sleep Scale 16 version (DBAS-16), Sleep-Related Behavior Questionnaire (SRBQ), Pre-sleep Arousal Scale (PSAS), Center for Epidemiological Studies Depression Scale (CES-D), Beck Anxiety Inventory (BAI) were used to investigate the psychological characteristics.
 Results: SOI and CI insomniacs had a higher frequency in use of sleep-related behavior than those with DMI; CI had a higher frequency in use of sleep-related behavior than those with EMAI (all P<0.05). Both SOI and CI insomniacs had a higher level of pre-sleep cognitive arousal than DMI and EMAI (all P<0.05). CI insomniacs noticed more consequences of insomnia and had more worries on insomnia than DMI, and CI insomniacs had more expectations of sleep than SOI (all P<0.05).
 Conclusion: Insomniacs with different clinical subgroups have different features of psychological characteristics. Both the insomnia subgroups and the psychological characteristics should be taken into account when we simplify cognitive behavioral therapy for insomnia (CBT-I) precisely.
Anxiety ; Arousal ; Cognitive Behavioral Therapy ; Humans ; Sleep ; Sleep Initiation and Maintenance Disorders ; Surveys and Questionnaires