Brian R. Snider

ORCID: 0000-0001-9503-1907
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About
Contact & Profiles
Research Areas
  • Obstructive Sleep Apnea Research
  • Neuroscience of respiration and sleep
  • Congenital heart defects research
  • Single-cell and spatial transcriptomics
  • Animal Behavior and Reproduction
  • Human Resource Development and Performance Evaluation
  • Counseling Practices and Supervision
  • Academic integrity and plagiarism
  • Educational and Psychological Assessments
  • Family and Patient Care in Intensive Care Units
  • Plasma and Flow Control in Aerodynamics
  • Deception detection and forensic psychology
  • Team Dynamics and Performance
  • Computational Fluid Dynamics and Aerodynamics
  • Higher Education Research Studies
  • Authorship Attribution and Profiling
  • Advanced Memory and Neural Computing
  • Non-Invasive Vital Sign Monitoring
  • Evaluation of Teaching Practices
  • Marine animal studies overview
  • Speech and Audio Processing
  • Family and Disability Support Research
  • Job Satisfaction and Organizational Behavior
  • Higher Education Practises and Engagement
  • Nursing Roles and Practices

Oregon Health & Science University
2013-2020

An in-depth understanding of the genetics and evolution brain function behavior requires a detailed mapping gene expression in functional circuits across major vertebrate clades. Here we present Zebra finch Expression Brain Atlas (ZEBrA; www.zebrafinchatlas.org, RRID: SCR_012988), web-based resource that maps genes linked to broad range functions onto zebra finches. ZEBrA is first its kind atlas for bird species any sauropsid. ZEBrA's >3,200 high-resolution digital images situ hybridized...

10.1002/cne.24879 article EN The Journal of Comparative Neurology 2020-02-10

Sleep-disordered breathing (SDB) is a highly prevalent condition associated with many adverse health problems. As the current means of diagnosis (polysomnography) obtrusive and ill-suited for mass screening population, we explore non-contact, automatic approach that uses acoustics-based methods. We present method automatically classifying sounds produced during sleep. compare performance several acoustic feature representations detecting diagnostically-relevant sleep events to predict...

10.1109/icassp.2013.6637738 article EN IEEE International Conference on Acoustics Speech and Signal Processing 2013-05-01

The need for cooperation between academic and student affairs personnel in promoting learning development has long been recognized the professional literature further affirmed recent years (American Association Higher Education [AAHE], American College Personnel [ACPA], & National of Student Administrators [NASPA], 1998; ACPA, 1996). Over time, there no shortage attention devoted to attitudinal organizational conditions that can prevent across institutional divisions (Blake, 1996; Streit,...

10.1353/csd.2004.0026 article EN Journal of college student development 2004-03-01

Sleep-disordered breathing (SDB) is a highly prevalent condition associated with many adverse health problems. As the current means of diagnosis (polysomnography) obtrusive and ill-suited for mass screening population, we explore minimal-contact, automatic approach that uses acoustics-based methods in conjunction pulse oximetry. We present two-stage method automatically classifying sounds produced during sleep to track respiratory effort predicting disordered events using durations oxygen...

10.1109/icassp.2016.7471784 article EN 2016-03-01

In this study, we sought to determine if various processes and outcomes of training would be affected by discrepancies in trainees' levels work experience. The study consisted a field experiment, which forty-nine inexperienced twenty-one experienced university resident assistants (RAs) were trained conflict mediation, under either homogeneous condition, all trainees inexperienced, or heterogeneous RAs evenly represented. Inexperienced the two conditions compared on basis participation...

10.1080/13678860121900 article EN Human Resource Development International 2001-01-01

In previous work, we attempted to identify events using sensor data from full-night polysomnography studies a global 20-second oximetry lag across all studies. However, observed that oxygen desaturation onset trailed the corresponding human expert-labeled by varying amounts of time, even within same study. this estimate localized ideal (SpO2) cross-correlation between labeled disordered breathing event and desaturation. We used corpus 15 human-expert scored clinical collected at Oregon...

10.1093/sleepj/zsx050.626 article EN SLEEP 2017-04-28
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