ABSTRACT
Objective To explore the influencing factors of career planning for nurses aged 30 to 40 years old. Methods Based on descriptive qualitative study, purposive sampling and the maximum variation strategy were used, nurses aged 30 to 40 years old who work at hospitals in Zhejiang province were selected as participants. Face-to-face semi-structured interviews were conducted focusing on influencing factors of career planning and field notes were written. Traditional content analysis was used for analyzing the data, and themes were extracted. The sample size was based on the criteria of saturation. Results A total of 12 participants were included. After analysis, the main influencing factors of career planning were identified: self- perception (such as their own personality, interests and expertise, professional ability, physical condition), knowledge of nursing work (including the cognition of nursing specialty and the nature of nurses' work), career development space (such as career development platform, career development path, career development bottleneck, learning and promotion opportunities), family factors (including family support and family outlook), hospital culture(including interpersonal relationships, leadership support, management style), career planning knowledge(including knowledge of career planning and guidance on career planning in work). Conclusions There are many factors influence career planning. Relevant departments and nursing managers should assist these nurses in making reasonable career planning according to their situation.
ABSTRACT
OBJECTIVE@#To construct protein functional network according to the physiological process in vivo and functionally based distinct families, to understand biological functions, and to make wise decisions.@*METHODS@#We described here a very effective strategy combining with multiple-docking and protein-ligand binding-affinity fingerprint method to generate bio-functional network and pathway and reveal the protein "unknown" functions and their relationship.@*RESULTS@#Totally 27 sets of proteins and 28 bio-active molecules were used to reconstruct the possible phospholipids metabolic network by computational simulation strategy. The protein-ligand network reconstruction and pathway based drug design showed that the direct interaction investigation might be effective in complex biological system study.@*CONCLUSION@#Even for weak and moderate interactions in the real biology system, the relationship between each other can be achieved by fingerprint analysis based on multiple-docking data. The results of these calculations give valuable insight into the pathway and the function relationship among these proteins. This method can be a very useful tool for protein classification, target selection, and inhibitor design.
Subject(s)
Ligands , Molecular Docking Simulation , Phospholipids , Metabolism , Proteins , ChemistryABSTRACT
Foot-and-mouth disease virus (FMDV) is a positive-sense RNA virus which has caused severe damage to world-wide livestock industry. The extensive genetic and antigenic diversity observed in the evolution of FMDV is generally the obstacle for controlling the disease. The homologous recombination, as a significant force driving the evolution of virus, has also effect on the epidemiological trait of FMDV. However,the role of homologous recombination in the diversification of FMDV in China has not investigated. So it is necessary to study the homologous recombination underlying the evolution of FMDV to control FMD. Based on a sound evolutionary framework, molecular evolutionary analysis was used to identify the putative recombinants. All complete FMDV genomes from China were respectively retrieved from GenBank. Homologous recombination was identified using Simplot program. Phylogenetic relations were analyzed to determine the recombination events among these FMDV isolates by using MEGA 4. The isolates O/NY00, O/China/1/99Tibet, O/Tibet/CHA/99, O/OMIII and O/ES/2001 among 16 FMDVs were identified as putative recombinants by analyzing the FMDV genomic sequences extracted from GenBank. The recombination events frequently happen between serological type Asia1 and O which are endemic FMDV circulating in China, suggesting frequent cross infection of FMDV in China. This situation further makes controlling FMDV in China more difficult. Moreover, serotypic conversion of FMDV between Asia1 and O was detected to be due to homologous recombination. These results provided clues for understanding the antigenic and genetic diversification in FMDV, and shed lights on the potential vaccination and treatment of FMD.