Human remains detection (HRD) canines are trained to locate human remains in a variety of locations and situations which include minimal quantities of remains that may be buried, submerged or extremely old. The aptitude of HRD canines is affected by factors such as training, familiarity with the scent source and environmental conditions. Access to appropriate training aids is a common issue among HRD canine handlers due to overly legal restrictions, difficulty in access and storage, and the potential biological hazards stemming from the use of actual human remains as training aids. For this reason, we propose a unique approach of training aid creation, utilizing non-contact, dynamic air-flow odor concentration onto sorbent materials. Following concentration, the sorbent material retains the odor from the scent source composed of volatile organic compounds. The sorbent material containing the odor can then be utilized as a canine training aid. Training materials prepared in this manner were tested under a variety of conditions with many HRD canines to demonstrate the efficacy of the new training aids. A high level of correct canine responses to the new training aids was achieved, approaching 90%, with minimal false positives.
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http://dx.doi.org/10.1016/j.forsciint.2011.09.023 | DOI Listing |
FASEB J
January 2025
Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
With the emergence of high-quality sequencing technologies, further research on transcriptomes has become possible. Circular RNA (circRNA), a novel type of endogenous RNA molecule with a covalently closed circular structure through "back-splicing," is reported to be widely present in eukaryotic cells and participates mainly in regulating gene and protein expression in various ways. It is becoming a research hotspot in the non-coding RNA field.
View Article and Find Full Text PDFAIDS Patient Care STDS
January 2025
Division of Epidemiology, Department of Public Health Science, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, USA.
Pre-exposure prophylaxis (PrEP) is an effective strategy in reducing HIV transmission, yet its uptake remains suboptimal. Health care providers play a vital role in facilitating PrEP access and care. This qualitative study explores health care providers' perspectives on the oral PrEP care continuum for adults, emphasizing barriers, facilitators, and missed opportunities in PrEP implementation.
View Article and Find Full Text PDFClin Infect Dis
January 2025
Division of HIV, ID, and Global Medicine, University of California, San Francisco, California, USA.
Long-acting injectables (LAIs) for HIV prevention and treatment could dramatically improve health outcomes and health equity for people with HIV and those who could benefit from pre-exposure prophylaxis. Despite widespread acceptability and demand by providers and potential users of LAIs, implementation has been extremely limited since the introduction of cabotegravir/rilpivirine, the first LAI for HIV treatment, in January 2021, and long-acting cabotegravir, the first LAI for HIV prevention, in December 2021. We report results of a provider survey, conducted by the HIV Medicine Association, which identified LAI implementation barriers related to health insurance processes, staffing and administrative support, drug costs and acquisition, and access for individuals who are uninsured.
View Article and Find Full Text PDFShared decision-making (SDM) has the potential to significantly improve patient outcomes by enabling clinicians and patients to make health care decisions as partners. However, its implementation in mental health care has been a slow process. The objective of the study was to implement SDM during outpatient mental health treatment planning.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Background: HIV testing is the cornerstone of HIV prevention and a pivotal step in realizing the Joint United Nations Program on HIV/AIDS (UNAIDS) goal of ending AIDS by 2030. Despite the availability of relevant survey data, there exists a research gap in using machine learning (ML) to analyze and predict HIV testing among adults in South Africa. Further investigation is needed to bridge this knowledge gap and inform evidence-based interventions to improve HIV testing.
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