Objective To understand the effect of butylbenzyl phthalate(BBP) on the levels of DNA-protein crosslinks(DPC) in hepatic cells of mice.Methods Twenty-five male Kunming mice were randomly assigned into five groups(n=5).BBP was administered by intraperitoneal injection at doses of 0(control group),125,250,500,1 000 mg/kg respectively for 14 consecutive days.Then the levels of DNA-protein crosslinks were detected.Results DPC coefficient increased with concentration of BBP increasing.Treatments of 500 and 1 000 mg/kg BBP significantly increased the levels of DPC compared with the control group. Conclusion BBP can not cause DPC at low levels(125 mg/kg),but it can cause DPC significantly at high levels(500 and 1000 mg/kg),which may cause serious DNA damages.

malathion.68 days after chlopyrifos was sprayed,the decrease rate of larvae density was still 95.34%.Conclusion The efficacy and persistent activity of chlopyrifos and the mixture of Bti and Bs-10 against mosquito larvae was better than the others.To control mosquito larvae in field,the suitable larvicides and application dosages should be applied according to the environment,characteristics,the pollute condition of water body etc.

Objective Networked health information on diabetes updated by some websites was evaluated to provide evidence for its improvement.Methods Twenty-four domestic diabetes-related websites were identified,and primary index (media index,health information index and diabetes information index) and secondary index (practicability index and novelty index) were evaluated by using hierarchal analysis method.Results Of three primary index,compared with media and health information index,diabetes information index showed higher scores.Moreover,health information and diabetes information had strong causality.For the secondary index,practicability and novelty got relatively lower scores.The website Diabetic Club and Health for All got the highest (3.2) and the slowest scores (1.7),respectively.Conclusion At present,domestic diabetes-related websites may be far from satisfaction and need improvement in technology and human resources and more inputs.

The main progress in international critical care medicine in 2020 are: the reflections on the mandatory of implementation of the 1-hour cluster treatment strategy for sepsis are still continuing; the "metabolic resuscitation" therapy, represented by large dose of vitamin C, failed to yield positive results; the global epidemic of coronavirus disease 2019 (COVID-19) continues to spread, with evidences indicating Dexamethasone, Remdesivir or interferon β-1b (IFNβ-1b), Lopinavir/Ritonavir and ribavirin as promising therapy; conservative oxygen therapy did not exert positive effects neither for mechanical ventilated patients nor for acute respiratory distress syndrome (ARDS) patient; the concept of lung- and diaphragm-protective mechanical ventilation illuminates a new opportunity to potentially improve clinical outcomes for critically ill patients; there was no positive evidence for stress ulcer prophylaxis and timing of endoscopy for severe acute upper gastrointestinal bleeding; early initiation of renal-replacement therapy (RRT) for critically ill patients with acute kidney injury (AKI) has not shown positive effect. At last, artificial intelligence (AI) has shown good potential in identifying ARDS phenotypes and early predicting sepsis.

Large-scale medical equipment is very important for comprehensive hospitals. Fault monitoring and diagnosing technologies for large-scale medical equipment have to been available to make full use of them. This paper introduces the evolution of equipment fault diagnosis. After comparing conventional technology and intelligent one, this paper lays emphasis on the latter.

Brain shift contributes mostly to the error of prediction in Image-Guided Neurosurgery (IGNS). In order to solve this problem, we build a statistical learning model between the quantity of the brain shift and we factors that impinge on the brain shift, and we predict the brain shift by using this model. The prediction of the brain shift can be regarded as an approach to estimation of regression function, the quantity of the brain shift is the output value of the function, while the corresponding factors that affect the brain shift can be taken as the input value of the function. In this study, we employ the fuzzy support vector machines (FSVM) with different constant term to build a brain shift correction model between the quantity of the brain shift and the factors that affect the brain shift. By taking 10 clinical data sets and employing the novel predicting method, we trained the relational model of the multi-dimensional data for the brain tissue displacement, the direction of surgical operation, and the operative site, etc. The results of validating the model by the leave-one-out method unveil that the approach recapitulated 90% of the shift, thus indicating that the correction model based on the FSVM with different constant term can be used to predict the brain shift with clinically acceptable accuracy. Therefore, the model can be applied to IGNS.
Algorithms ; Brain ; pathology ; surgery ; Brain Neoplasms ; surgery ; Fuzzy Logic ; Humans ; Image Interpretation, Computer-Assisted ; methods ; Magnetic Resonance Imaging ; Models, Neurological ; Neuronavigation ; methods ; Support Vector Machine ; Surgery, Computer-Assisted ; methods

Objective To study the distribution and clinicopathological characteristics between VEGF-C and pefitumoral lymph vessels density(PLVD) in breast cancer tissue, and to investigate the development and the mechanism of breast cancer-related lymphoedema (BCRL). Methods VEGF-C and VEGFR-3 were detected by using immunohistochemical technique for the detection of VEGF-C and its receptor VEGFR-3 in forty-seven breast cancer specimens. We measured the patients' circumferences of bilateral upper limbs to determine whether there was lymphoedema and made classification in the follow-ups. Results VEGF-C was positive in 33 out of 47 cases. PLVD significantly increased in VEGF-C positive groups (30.39±10. 46) than in negative groups (23.16±11.67) (P<0.05). VEGF-C semi-quantitative score was in a positive correlation with PLVD (r=0.334). The positive expression rate (42.55%) and semi-quantitative score (3.68±1.59) of VEGF-C increased in the lymph node positive group than in the negative group, PLVD increased in the lymph node positive group compared with that in negative group (32.12±10.29 vs. 24.82±11.06), P<0.05. The risk of lymphoedema increased in the VEGF-C negative group (5/14) compared with that in the positive group (3/33) (P<0.05). Conclusion VEGF-C has a high rate of positive expression in breast cancer, and is positively correlated with PLVD. High expression of VEGF-C can reduce the risk of BCRL in breast cancer.

Objective To examine the effect of modified electroconvulsive therapy (MECT) on the plasma oxida-tive stress level in bipolar depression. Methods Forty-two patients with bipolar depression were randomly divided into two groups. The intervention group (n=18) received antidepressants and 12 times MECT for 6 weeks and the control group (n=24) received antidepressants and Li2CO3 for 6 weeks. The Chinese versions of the 17 items Hamilton Depression Rating Scale (HAMD-17), Young Mania Rating Scale (YMRS), Clinical Global Impression Scale (CGI-S) and Treatment Emergent Symptom Scale (TESS) were used to assess participants at baseline and after 6 weeks of treatment. The plasma levels of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSH-Px) and malondialdehyde (MDA)were detected at baseline and after 6 weeks to assess the level of oxidative stress. Results Repeated measures analysis of variance showed that the plasma level of SOD was higher in MECT group than in Li2CO3 group (F=15.26, P<0.01), and the level of MDA was higher in Li2CO3 group (F=18.18, P<0.01). The interactive effect of group and time was significant in GSH-Px level (F=6.39, P=0.02). The level of GSH-Px was lower in MECT group than in Li2CO3 group after 6 weeks (P<0.05). The CAT level was higher in the response patients than in non-response patients after 6 weeks (P<0.05). Con-clusions Both MECT treatment and Li2CO3 treatment can alter oxidative stress levels in patients with bipolar depression. The mechanisms underlying its therapeutic regimen may correct the imbalance of the plasma CAT level.

Objective:To evaluate dental and skeletal changes following slow maxillary expansion with quad helix using Cone-Beam computer tomography (CBCT).Methods:13 patients(5males and 8 females,mean age 14.38 ±2.22 years)requiring maxillary ex-pansion as a part of their comprehensive orthodontic treatment were included.Each patient had CBCT images taken pre-(T1 )and post-(T2)maxillary expansion with quad helix.Changes of the distances between bilateral canines,first premolars,second premo-lars,first molars,the width of basal bone and palatal suture were measured.paired t-test results were analyzed using SPSS 17.0 soft-ware.Results:The distances between the 4 bilateral teeth increased by (2.47 ±1.05)mm,(2.97 ±1.90)mm,(2.79 ±1.21) mm and (3.15 ±1.15)mm,the apical distances decreased by (1.19 ±0.40)mm,(2.12 ±0.68)mm,(2.02 ±0.65)mm and (1.34 ±0.63)mm,respectively.The inclination of the first molars were decreased by (4.45 ±2.86)°and (4.02 ±1.45)°on the left and right side respectively.The width of basal bone and palatal suture increased by (2.37 ±0.96)mm and (1.21 ±0.50)mm respectively,the differences between T1 and T2 were all statistically different(P <0.001).Conclusion:Quad helix expands maxil-lary arch by greater dental changes than by skeletal changes.

The paper introduces the common methods for automatic de-identification of clinical texts,including the method based on rules,machine learning method,comprehensive method,etc.,states the challenges for clinical texts practicability,system universality and scalability of clinical texts de-identification research,analyzes the further research direction,and provides reference for researchers of this field.