Objective To investigate relationship between the level of support needs and post-traumatic stress disorder(PTSD)among fathers of preterm infants in neonatal intensivecare unit(NICU).Methods A total of 209 fathers of preterm infants admitted to NICU were selected as survey subjects.The basic information questionnaire for preterm infants,the basic information questionnaire for fathers,the NICU Newborn Father Support Scale,and the civilian version of the Post-traumatic Stress Disorder Checklist were used to survey their conditions.Results The score of support needs among fathers of preterm infants was(88.69±11.04).Gestational age,cesarean section,length of stay in the NICU,father's educational level,monthly per-capita family income,and spouse's health status were all significant influencing factors of father's support needs(P＜0.05).The score of PTSD among fathers of preterm infants was(32.27±5.96).Gestational age,birth weight,birth way,fa-ther's age,whether the father had received prenatal health education,and support needs were all in-fluencing factors of PTSD occurrence among fathers of preterm infants(P＜0.05).There was a sig-nificant negative correlation between father's support needs and PTSD.Conclusion The level of support needs among fathers of preterm infants in the NICU is negatively correlated with PTSD.Medi-cal staff should pay attention to the level of support needs among fathers of preterm infants to reduce the occurrence of their PTSD.

A fitting method of calculating local helix parameters of proteins based on dual quaternions registration fitting (DQRFit) is proposed in this paper. First, the C and N atom coordinates of each residue in the protein structure data are extracted. Then the unregistered data and reference data are constructed using the sliding windows. The square sum of the distance of the data points before and after registration is regarded as an optimization goal. We calculate the optimal rotation matrix and the translation vector using the dual quaternion registration algorithm, and get the helix parameters of the secondary structure which contain the number of residues per turn( ), helix radius( )and helix pitch( ). Furthermore, we can achieve the fitting of three-helix parameters of , , simultaneously with the dual quaternion registration, and can adjust the sliding windows to adapt to different error levels. Compared with the traditional helix fitting method, DQRFit has some advantages such as low computational complexity, strong anti-interference, and high fitting accuracy. It is proven that the precision of proposed DQRFit for α helix detection is comparable to that of the dictionary of secondary structure of proteins (DSSP), and is better than that of other traditional methods. This is of great significance for the protein structure classification and functional prediction, drug design, protein structure visualization and other fields in the future.