| 1. |
- Polusny, M. A., et al.
(författare)
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Pre-deployment Well-Being Among Single and Partnered National Guard Soldiers : The Role of Their Parents, Social Support, and Stressors
- 2014
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Ingår i: Military Deployment and its Consequences for Families. - New York : Springer-Verlag New York. - 9781461487111 - 9781461487128 ; , s. 151-172
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Bokkapitel (refereegranskat)abstract
- Families are a key source of support for National Guard Soldiers, yet little is known about the influence of parents on Soldiers’ pre-deployment well-being. In this chapter, we examine the potential role family may play in the psychological well-being of National Guard Soldiers. We present initial findings from the Readiness and Resilience in National Guard Soldiers (RINGS-2) study—an ongoing, prospective investigation of 2,089 National Guard Soldiers and their families. Single versus partnered Soldiers were compared on measures of pre-deployment well-being (post-traumatic stress symptoms, depression symptoms, and alcohol misuse). Prior to deployment, partnered Soldiers had higher PTSD and depression symptoms than single Soldiers, while single Soldiers reported greater alcohol misuse than partnered Soldiers. Multiple linear regression analyses examined the role of family contextual factors in understanding Soldiers’ pre-deployment well-being. Findings demonstrated the important role families can play in Soldiers’ well-being prior to deployment, both as a source of support and strain.
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| 2. |
- Lisacek, F., et al.
(författare)
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Databases and associated tools for glycomics and glycoproteomics
- 2017
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Ingår i: High-Throughput Glycomics and Glycoproteomics. Eds: Gordan Lauc & Manfred Wuhrer. - New York : Springer. - 1064-3745. - 9781493964932 - 9781493964918 ; , s. 235-264
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current glycobiological research. This chapter presents available databases that are devoted to different aspects of glycobioinformatics. This includes oligosaccharide sequence databases, experimental databases, 3D structure databases (of both glycans and glycorelated proteins) and association of glycans with tissue, disease, and proteins. Specific search protocols are also provided using tools associated with experimental databases for converting primary glycoanalytical data to glycan structural information. In particular, researchers using glycoanalysis methods by U/HPLC (GlycoBase), MS (GlycoWorkbench, UniCarb-DB, GlycoDigest), and NMR (CASPER) will benefit from this chapter. In addition we also include information on how to utilize glycan structural information to query databases that associate glycans with proteins (UniCarbKB) and with interactions with pathogens (Sugar Bind). © Springer Science+Business Media New York 2017.
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