Due to greedy algorithm is adopted in the analysis of dependency parsing based on transformation, thus we select the most likely analysis action in each analysis step and ignore the dependency relation analysis of sen...Due to greedy algorithm is adopted in the analysis of dependency parsing based on transformation, thus we select the most likely analysis action in each analysis step and ignore the dependency relation analysis of sentences. Therefore, in this paper, we propose decision based multi-candidate Chinese dependency syntax method on the basis of traditional Are-eager algorithms proposed by Nivre. In the new method, multiple candidate structures are introduced. We select multiple possible motion analysis according to every analysis step, and the optimal solution is selected in the sentence, in order to determine the dependency relation between different words and improve the correct rate. We choose the Chinese Pennsylvania Treebank and establish dependency analyzer based on support vector machine, we prove the effectiveness of the algorithm.展开更多
Background: Pregnant women and newborns are highly susceptible to Covid-19, manifesting as multisystem inflammatory syndrome-New-born (MISC-N) in many babies born to Covid positive mothers. The relationship between Co...Background: Pregnant women and newborns are highly susceptible to Covid-19, manifesting as multisystem inflammatory syndrome-New-born (MISC-N) in many babies born to Covid positive mothers. The relationship between Covid-19 infection during pregnancy and neonatal neurodevelopmental outcome, if any, is unclear necessitating a follow-up study in this aspect. Methods: 16 babies with MIS-N, born to symptomatic Covid antibody positive mothers were enrolled. Demographic profile, treatment details and biochemical parameters were analyzed with neurodevelopmental follow-up. Results: 25% mothers received 2 doses of Covid vaccine;50% had oligohydramnios and 75% received antenatal steroids. 87.5% were preterm of which 62.5% required surfactant with ventilator support and 75% required ionotropic support. Significant association was found between the antibody level and D-dimer levels with the ferritin and LDH levels of the baby (p 0.05);gestational age with LDH and D-dimer levels (p 0.05) and Covid antibody level of the baby vs the duration of ventilator requirement (P-value-0.0009). D-dimer values of babies were positively associated with both maternal antibody and D-dimer levels. Neurodevelopmental follow-up done at 6 months of corrected gestational age showed 37.5% were normal, 37.5% hypertonic and 25% hypotonic. HINE score was below 60 in 62.5%. Development assessment using Bayley-III showed a delay in the motor domain (62.5%), cognitive domain (56.25%) and language domain (62.5%). Conclusion: Neurodevelopmental problems occur in babies born to Covid positive mothers and should be stratified as “high risk”. Anticipatory guidance to prospective mothers for preterm care should be given. Covid antibody titre and D-dimer levels may help to predict the NICU stay, ventilator requirement and the adverse neurodevelopmental outcomes in these babies.展开更多
文摘Due to greedy algorithm is adopted in the analysis of dependency parsing based on transformation, thus we select the most likely analysis action in each analysis step and ignore the dependency relation analysis of sentences. Therefore, in this paper, we propose decision based multi-candidate Chinese dependency syntax method on the basis of traditional Are-eager algorithms proposed by Nivre. In the new method, multiple candidate structures are introduced. We select multiple possible motion analysis according to every analysis step, and the optimal solution is selected in the sentence, in order to determine the dependency relation between different words and improve the correct rate. We choose the Chinese Pennsylvania Treebank and establish dependency analyzer based on support vector machine, we prove the effectiveness of the algorithm.
文摘Background: Pregnant women and newborns are highly susceptible to Covid-19, manifesting as multisystem inflammatory syndrome-New-born (MISC-N) in many babies born to Covid positive mothers. The relationship between Covid-19 infection during pregnancy and neonatal neurodevelopmental outcome, if any, is unclear necessitating a follow-up study in this aspect. Methods: 16 babies with MIS-N, born to symptomatic Covid antibody positive mothers were enrolled. Demographic profile, treatment details and biochemical parameters were analyzed with neurodevelopmental follow-up. Results: 25% mothers received 2 doses of Covid vaccine;50% had oligohydramnios and 75% received antenatal steroids. 87.5% were preterm of which 62.5% required surfactant with ventilator support and 75% required ionotropic support. Significant association was found between the antibody level and D-dimer levels with the ferritin and LDH levels of the baby (p 0.05);gestational age with LDH and D-dimer levels (p 0.05) and Covid antibody level of the baby vs the duration of ventilator requirement (P-value-0.0009). D-dimer values of babies were positively associated with both maternal antibody and D-dimer levels. Neurodevelopmental follow-up done at 6 months of corrected gestational age showed 37.5% were normal, 37.5% hypertonic and 25% hypotonic. HINE score was below 60 in 62.5%. Development assessment using Bayley-III showed a delay in the motor domain (62.5%), cognitive domain (56.25%) and language domain (62.5%). Conclusion: Neurodevelopmental problems occur in babies born to Covid positive mothers and should be stratified as “high risk”. Anticipatory guidance to prospective mothers for preterm care should be given. Covid antibody titre and D-dimer levels may help to predict the NICU stay, ventilator requirement and the adverse neurodevelopmental outcomes in these babies.
