Objective To investigate the applied value of abnormalities of fetus with oligohydramnios in mid-pregnancy by anmioinfusion. Methods Fifty women with oligohydramnios diagnosed by ultrasonograph were analysed retrospectively. During the procedure 60-300 ml saline solution at 37 ℃ were infused into the amniotic cavity,made prenatal diagnosis at the same time necessarily. And examined the women to know whether the fetal anomaly existed or not after the amnioinfusion by the ultrasound. Results There were 15 cases with fetal anomaly, 8 cases with genitotirinary anomaly(2 cases associated with multiple organs anomaly), 1 case with single umbilical artery, 4 cases with chromosomal abnormality (2 cases associated with fetal growth restriction), 2 cases with pulmonary hypolasia. There was no significant difference in dilivery outcome between others and 35 cases with normal pregnant women (P >0.05). Conclusion Transabdominal amnioinfusion has double function on beth diagnosis and therapy for the oligohydramnios in the mid-pregnancy.

Objective To evaluate the clinical effect of ambulatory labor analgesia used in latent phase of the first stage of labor, which include labor progress, Apgar score after ambulatory labor analgesia begun to use when the cervix was different size dilatated. Methods Seventy-five parturient primiparas who had no complication were randomly divided into three groups: group Ⅰ: ambulatory labor analgesia was begun to use when the cervix was 1.0 cm dilated, group Ⅱ: ambulatory labor analgesia was begun to use when the cervix was 2-3 cm dilated, group Ⅲ: control group without use of ambulatory labor analgesia. Analgesic effects were observed, changes of uterine contraction were recorded by fetal monitor. Meanwhile, total stage of labor ,outcome of delivery and Apgar score were recorded. Results Duration of total stage of labor had no significant difference between group Ⅰ and group Ⅲ.The duration of the first labor stage was significantly longer in group Ⅰ than that in group Ⅱ(P

This article provides demonstrations and calculations, using rough-set theory and method, of the math-morphological features (MMFs), such as form parameter, lobation and sphericity, etc. drawn from 28 species of insects of the Hemiptera, Lepidoptera and Coleoptera based on their images. The results are compared with statistical analysis made by Zhao Hanqing, and also with the traditional classifications through the pattern recognition of neural network on the basis of the rough-set disposal. The result of the experiments showed that when used in categorical taxonomy, the importance of MMF was ranked from high to low: (roundness-likelihood. eccentricity) > (hot-hole number, sphericity, circularity) > (lobation, form parameter). The results of pattern recognition by neural network were completely identical with those of traditional classifications. Accordingly, the conclusion was that this theory applied in insect taxonomy was more idealistic compared with statistical analysis method, and it had great significance when used with rough-set neural network.
Algorithms ; Animals ; Fuzzy Logic ; Insecta ; classification ; Neural Networks (Computer)

SIRT6 belongs to the conserved NAD⁺-dependent deacetylase superfamily and mediates multiple biological and pathological processes. Targeting SIRT6 by allosteric modulators represents a novel direction for therapeutics, which can overcome the selectivity problem caused by the structural similarity of orthosteric sites among deacetylases. Here, developing a reversed allosteric strategy AlloReverse, we identified a cryptic allosteric site, Pocket Z, which was only induced by the bi-directional allosteric signal triggered upon orthosteric binding of NAD⁺. Based on Pocket Z, we discovered an SIRT6 allosteric inhibitor named JYQ-42. JYQ-42 selectively targets SIRT6 among other histone deacetylases and effectively inhibits SIRT6 deacetylation, with an IC₅₀ of 2.33 μmol/L. JYQ-42 significantly suppresses SIRT6-mediated cancer cell migration and pro-inflammatory cytokine production. JYQ-42, to our knowledge, is the most potent and selective allosteric SIRT6 inhibitor. This study provides a novel strategy for allosteric drug design and will help in the challenging development of therapeutic agents that can selectively bind SIRT6.