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Daniel L. Segal

Researcher at University of Colorado Colorado Springs

Publications -  258
Citations -  16608

Daniel L. Segal is an academic researcher from University of Colorado Colorado Springs. The author has contributed to research in topics: Personality disorders & Personality. The author has an hindex of 47, co-authored 245 publications receiving 15372 citations. Previous affiliations of Daniel L. Segal include Nova Southeastern University & Boston College.

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Journal ArticleDOI

Intrinsic and extrinsic barriers to mental health care among community-dwelling younger and older adults

TL;DR: Results indicated that younger adults perceived fear of psychotherapy, belief about inability to find a psychotherapist, and insurance concerns to be greater barriers than older adults, providing further evidence that stigma about receiving mental health services is not a primary barrier among younger or older adults.
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Extrachromosomal circles of satellite repeats and 5S ribosomal DNA in human cells

TL;DR: These findings, and previous reports, support the general notion that every chromosomal tandem repeat is prone to generate ecc DNA in eukryoric organisms including humans and suggest the possible involvement of eccDNA in the length variability observed in arrays of tandem repeats.
Book ChapterDOI

Diagnosis and Classification

TL;DR: The earliest roots of the diagnosis and classification of abnormal behavior stretch back into the very dawn of human consciousness and the rise of societal behavior as mentioned in this paper, and the desire to understand and to classify the things in one's environment appears to be an inherent human trait.
Journal ArticleDOI

Regulation of juvenile hormone synthesis in wild-type and apterous mutant Drosophila.

TL;DR: A radiochemical assay was utilized to examine JH synthesis in vitro by the isolated corpus allatum as well as the regulation of this synthesis by brain extracts of wild-type and apterous mutant Drosophila melanogaster females during reproductive maturation.
Journal ArticleDOI

Inhibiting α-synuclein oligomerization by stable cell-penetrating β-synuclein fragments recovers phenotype of Parkinson's disease model flies.

TL;DR: A retro-inverso analogue of the best peptide inhibitor was designed to develop the identified molecular recognition module into a drug candidate and can serve as a lead for developing a novel class of therapeutic agents to treat Parkinson's disease.