Objective:To explore the effects of Undaria pinnatifida polysaccharides(UPPs)on depressive-like behavior,neurotransmitter content,oxidative stress,and the hypothalamus-pituitary-adrenal(HPA)axis in rats treated with chronic unpredictable mild stress(CUMS).Methods:A rat model of depression was prepared using the CUMS method,and rats were treated with normal saline(NS)or different doses of UPPs by gavage.The general condition of the rats was observed,and depressive-like behavior was detected by the open field test(OFT),sucrose preference test(SPT),and forced swimming test(FST).The activity or levels of 5-hydroxytryptamine(5-HT),dopamine(DA)and norepinephrine(NE),malondialdehyde(MDA),superoxide disidase(SOD)and catalase(CAT),adrenocorticotrop-ic hormore(ACTH),corticosterone(CORT)in the hippocampus or serum of rats were detected using commercial kits.Western Blot was used to detect the expression level of hippocampal glucocorticoid receptor(GR)protein,and hema-toxylin-eosin(HE)staining was used to observe the tissue structure of hippocampus of rats.Results:The depressive-like behavior of rats in the UPPs medium and high dose groups was significantly improved(P＜0.05).In the UPPs high dose group,the contents of 5-HT,DA,and NE in the hippocampus of rats increased(P＜0.05),while the con-tents of MDA in both serum and hippocampus decreased(P＜0.05),and the activities of SOD and CAT increased(P＜0.05).The contents of ACTH and CORT in serum decreased(P＜0.05).In the UPPs medium dose group,the levels of hippocampal MDA and CAT,as well as serum SOD,ACTH,and CORT were improved(P＜0.05).The expression level of GR protein in the hippocampus increased(P＜0.05),and the pathological changes in the hipp-ocampal dentate gyrus were significantly improved.Conclusion:UPPs can alleviate depressive-like behavior in CUMS rats,and its mechanism may be related to increasing the content of monoamine neurotransmitters in the hippocampus,reducing oxidative stress damage,and HPA axis hyperfunction.

Objective To apply a phantom for dose measurement in interventional therapy for pediatric vascular diseases, and calculate the effective dose (E) and conversion coefficient of dose area product (DAP) to E, and to provide a dose reference for studying radiation dose and radiation protection in children. Methods Thermoluminescent dosimeters were placed in the organs of the phantom. Low-, medium-, and high-dose groups were set for three types of vascular anomalies based on the duration of fluoroscopy. Digital subtraction angiography was used to simulate exposure conditions at different dose levels. The organ dose was measured, and the effective dose was calculated. Results For the three groups of vascular anomalies in the head and face, the red bone marrow doses were 8.15, 30.34, and 43.53 mGy, respectively, the effective doses were 12.88, 47.84, and 73.12 mSv, respectively; and the average conversion coefficient of DAP to E was 2.16. For the three groups of vascular anomalies in the trunk, the red bone marrow doses were 2.11, 15.62, and 31.21 mGy, respectively; the effective doses were 12.39, 70.56, and 134.60 mSv, respectively, and the average conversion coefficient of DAP to E was 3.03. For the three groups of vascular anomalies in the lower extremities, the red bone marrow doses were 3.58, 6.50, and 12.28 mGy, respectively, the effective doses were 3.64, 7.04, and 14.85 mSv, respectively, and the average conversion coefficient of DAP to E was 0.73. Conclusion Patient dose and DAP-to-E conversion coefficient are in the following order: vascular anomalies in the trunk > vascular anomalies in the head and face > vascular anomalies in the lower extremities. The dose data obtained can be used to estimate children’s radiation exposure.

OBJECTIVES: This study aimed to remove occlusal veneers of varied thicknesses and compositions by Er:Yag laser in vitro and analyze the interfacial microstructure between veneers and tooth that irradiated by laser, by which experimental evidence could be provided to support the non-invasive removal of occlusal veneerby laser. METHODS: Fresh mandibular premolars extracted for orthodontic requirements were collected for tooth preparation. Three kinds of ceramic materials (Vita Suprinity, Vita Mark Ⅱ, and Upcera Hyramic) were selected to fabricate occlusal veneer with different thicknesses (1.0, 1.5, and 2.0 mm). One week later, Er:Yag laser (2.5 W and 3.5 W) was used to irradiate and remove the occlusal veneer and recorded the timespan. After the removal operation, the micro-morphologies of samples were examined by scanning electron microscope. RESULTS: Upcera Hyramic veneer failed to be removed (>20 min); the operation span at 2.5 W, Vita Suprinity (96.0 s±16.0 s) was longer than Vita MarkⅡ(84.5 s±19.5 s) in the 1.0 mm group (P<0.05), and Vita Suprinity (246.5 s±13.5 s) was longer than Vita MarkⅡ(170.0 s±14.0 s) in the 1.5 mm group (P<0.05). At 3.5 W, Vita Suprinity (381.0 s±24.0 s) was longer than Vita MarkⅡ(341.5 s±26.5 s) in the 2.0 mm group. CONCLUSIONS Increasing laser power could shorten the operation span and facilitate the removal of occlusal veneers with the same thickness and composition. The occlusal veneer was sustained when insufficient laser power was applied. With the same laser power and ceramic thickness, laser penetration could interfere with the integral of the ceramic structure when the laser interacted with the bonding layer. With the same ceramic composition and laser power, the operation span and laser power increased with the thickness of the occlusal veneer. However, the laser was incapable of removing occlusal resin veneer directly.
Lasers, Solid-State ; Materials Testing ; Dental Porcelain/chemistry* ; Ceramics/chemistry* ; Bicuspid ; Dental Veneers

The finite element method is a new method to study the mechanism of brain injury caused by blunt instruments. But it is not easy to be applied because of its technology barrier of time-consuming and strong professionalism. In this study, a rapid and quantitative evaluation method was investigated to analyze the craniocerebral injury induced by blunt sticks based on convolutional neural network and finite element method. The velocity curve of stick struck and the maximum principal strain of brain tissue (cerebrum, corpus callosum, cerebellum and brainstem) from the finite element simulation were used as the input and output parameters of the convolutional neural network The convolutional neural network was trained and optimized by using the 10-fold cross-validation method. The Mean Absolute Error (MAE), Mean Square Error (MSE), and Goodness of Fit ( R ²) of the finally selected convolutional neural network model for the prediction of the maximum principal strain of the cerebrum were 0.084, 0.014, and 0.92, respectively. The predicted results of the maximum principal strain of the corpus callosum were 0.062, 0.007, 0.90, respectively. The predicted results of the maximum principal strain of the cerebellum and brainstem were 0.075, 0.011, and 0.94, respectively. These results show that the research and development of the deep convolutional neural network can quickly and accurately assess the local brain injury caused by the sticks blow, and have important application value for understanding the quantitative evaluation and the brain injury caused by the sticks struck. At the same time, this technology improves the computational efficiency and can provide a basis reference for transforming the current acceleration-based brain injury research into a focus on local brain injury research.
Brain ; Brain Injuries ; Computer Simulation ; Finite Element Analysis ; Humans ; Neural Networks, Computer

Insomnia symptom is one of the most common types of sleep disturbances.Apart from being a risk factor for psychiatric disorders, insomnia symptom has been found to affect the course of psychiatric disorders and increase the relapse rate of psychiatric disorders.Therefore, insomnia treatment is beneficial to mitigate the psychiatric symptoms among chronic insomnia patients, which may help prevent mental health disorders.On the other hand, insomnia treatment for psychiatric patients is conductive to reduce the harm consequence in social function, which can help improving the prognosis of psychiatric disorders.Cognitive behavior therapy for insomnia (CBT-I) is a first-line treatment for chronic insomnia.This paper reviews the research progress on the efficiency of CBT-I on the psychiatric symptoms of chronic insomnia patients, as well as its application in comorbid psychiatric conditions.Findings from previous research suggested that CBT-I is effective to improve the psychiatric symptoms of insomnia patients through insomnia improvement, and it can also promote the remission of depression and anxiety symptoms, reduce the risk of substance disorder and suicide behaviors, and reduce the impairment of life quality and costs of treatment through insomnia improvement among psychiatric patients comorbid with insomnia, which indicated that CBT-I is a safe and effective treatment for insomnia symptoms in psychiatric patients.Moreover, this paper listed the contraindications and the decision-to-treat algorithm of CBT-I among psychiatric patients, as well as the CBT-I availability and adherence that limited the clinical application.More understanding of CBT-I is beneficial to provide support for a broad clinical application in mental health services.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) has become a severe global burden in terms of both health and the economy. Few studies, however, have thoroughly assessed the influence of air pollution on COPD-related mortality among elderly people in developing areas in the hinterland of southwestern China. This study is the first to examine the association between short-term exposure to ambient airborne pollutants and COPD-related mortality among elderly people in the central Sichuan Basin of southwestern China. METHODS: Data on COPD-related mortality among elderly people aged 60 and older were obtained from the Population Death Information Registration and Management System (PDIRMS). Data on airborne pollutants comprised of particulate matter < 2.5 μm in aerodynamic diameter (PM RESULTS: A total of 61,058 COPD-related deaths of people aged 60 and older were obtained. Controlling the influences of daily temperature and relative humidity, interquartile range (IQR) concentration increases of PM CONCLUSIONS Increased concentrations of ambient airborne pollutants composed of PM
Aged ; Aged, 80 and over ; Air Pollutants/adverse effects* ; China/epidemiology* ; Cities/epidemiology* ; Environmental Exposure/adverse effects* ; Female ; Humans ; Male ; Middle Aged ; Pulmonary Disease, Chronic Obstructive/mortality* ; Time Factors

Objective:To explore the distribution characteristics of pathogens in adult patients with community-acquired pneumonia (CAP) and to provide basis for the diagnosis, treatment, prevention of CAP.Methods:1 446 inpatients with CAP were prospectively enrolled in a third-class hospital in Beijing in recent 5 years (from January 2015 to December 2019). Respiratory tract samples were collected for smear, culture, nucleic acid, antigen and antibody detection to identify the pathogen of CAP. Mann-Whitney U test was used for continuous variables and χ 2 test or Fisher′s exact test was used for categorical data for statistical analysis. Results:Among the 1 446 patients, 822 (56.85%) patients were infected with a single pathogen, 231 (15.98%) patients were infected with multiple pathogens, and 393 (27.18%) patients were not clear about the pathogen. Influenza virus is the first pathogen of CAP (20.95%, 303/1 446), mainly H1N1 (8.51%, 123/1 446), followed by mycoplasma pneumoniae (7.19%, 104/1 446), Mycobacterium tuberculosis (5.33%, 77/1 446) and Streptococcus pneumoniae (5.05%, 73/1 446). The outbreak of H1N1 occurred from December 2018 to February 2019, and the epidemic of mycoplasma pneumoniae pneumonia was monitored from August to November 2019. Patients under 65 years old had high detection rates of Mycoplasma pneumoniae (14.41% vs. 2.41%, χ2=74.712, P<0.001), Streptococcus pneumoniae (8.16% vs. 2.99%, χ2=18.156, P<0.001), rhinovirus (6.08% vs. 3.56%, χ2=5.025, P<0.025), Chlamydia pneumoniae (5.90% vs. 1.15%, χ2=26.542, P<0.001) and adenovirus (3.13% vs. 0.92%, χ2=9.547, P=0.002). The severe disease rate of CAP was 14.66% (212/1 446), and the average mortality rate was 3.66% (53/1 446). The severe illness rate and mortality rate of bacterial-viral co-infection were 28.97% (31/107) and 19.63% (21/107), respectively. Conclusions:Influenza virus is the primary pathogen of adult CAP. Outbreaks of Mycoplasma pneumoniae and H1N1 were detected in 2018 and 2019, respectively. The remission rate and mortality rate of virus-bacteria co-infection were significantly higher than those of single pathogen infection. Accurate etiological basis not only plays a role in clinical diagnosis and treatment, but also provides important data support for prevention and early warning.

Objective:To explore the distribution characteristics of pathogens in adult patients with community-acquired pneumonia (CAP) and to provide basis for the diagnosis, treatment, prevention of CAP.Methods:1 446 inpatients with CAP were prospectively enrolled in a third-class hospital in Beijing in recent 5 years (from January 2015 to December 2019). Respiratory tract samples were collected for smear, culture, nucleic acid, antigen and antibody detection to identify the pathogen of CAP. Mann-Whitney U test was used for continuous variables and χ 2 test or Fisher′s exact test was used for categorical data for statistical analysis. Results:Among the 1 446 patients, 822 (56.85%) patients were infected with a single pathogen, 231 (15.98%) patients were infected with multiple pathogens, and 393 (27.18%) patients were not clear about the pathogen. Influenza virus is the first pathogen of CAP (20.95%, 303/1 446), mainly H1N1 (8.51%, 123/1 446), followed by mycoplasma pneumoniae (7.19%, 104/1 446), Mycobacterium tuberculosis (5.33%, 77/1 446) and Streptococcus pneumoniae (5.05%, 73/1 446). The outbreak of H1N1 occurred from December 2018 to February 2019, and the epidemic of mycoplasma pneumoniae pneumonia was monitored from August to November 2019. Patients under 65 years old had high detection rates of Mycoplasma pneumoniae (14.41% vs. 2.41%, χ2=74.712, P<0.001), Streptococcus pneumoniae (8.16% vs. 2.99%, χ2=18.156, P<0.001), rhinovirus (6.08% vs. 3.56%, χ2=5.025, P<0.025), Chlamydia pneumoniae (5.90% vs. 1.15%, χ2=26.542, P<0.001) and adenovirus (3.13% vs. 0.92%, χ2=9.547, P=0.002). The severe disease rate of CAP was 14.66% (212/1 446), and the average mortality rate was 3.66% (53/1 446). The severe illness rate and mortality rate of bacterial-viral co-infection were 28.97% (31/107) and 19.63% (21/107), respectively. Conclusions:Influenza virus is the primary pathogen of adult CAP. Outbreaks of Mycoplasma pneumoniae and H1N1 were detected in 2018 and 2019, respectively. The remission rate and mortality rate of virus-bacteria co-infection were significantly higher than those of single pathogen infection. Accurate etiological basis not only plays a role in clinical diagnosis and treatment, but also provides important data support for prevention and early warning.