Representation of under-represented minority (URM) faculty in the health sciences disciplines is persistently low relative to both national and student population demographics. Although some progress has been made through nationally funded pipeline development programs, demographic disparities in the various health sciences disciplines remain. As such the development of innovative interventions to help URM faculty and students overcome barriers to advancement remains a national priority. To date, the majority of pipeline development programs have focused on academic readiness, mentorship, and professional development. However, insights from the social sciences literature related to "extra-academic" (e.g., racism) barriers to URM persistence in higher education suggest the limitations of efforts exclusively focused on cognitively mediated endpoints. The purpose of this article is to synthesize findings from the social sciences literature that can inform the enhancement of URM pipeline development programs. Specifically, we highlight research related to the social, emotional, and contextual correlates of URM success in higher education including reducing social isolation, increasing engagement with research, bolstering persistence, enhancing mentoring models, and creating institutional change. Supporting URM's success in the health sciences has implications for the development of a workforce with the capacity to understand and intervene on the drivers of health inequalities.
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http://dx.doi.org/10.1017/cts.2020.566 | DOI Listing |
Causality is a fundamental part of the scientific endeavor to understand the world. Unfortunately, causality is still taboo in much of psychology and social science. Motivated by a growing number of recommendations for the importance of adopting causal approaches to research, we reformulate the typical approach to research in psychology to harmonize inevitably causal theories with the rest of the research pipeline.
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December 2024
Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center; Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center;
The CUT&RUN technique facilitates detection of protein-DNA interactions across the genome. Typical applications of CUT&RUN include profiling changes in histone tail modifications or mapping transcription factor chromatin occupancy. Widespread adoption of CUT&RUN is driven, in part, by technical advantages over conventional ChIP-seq that include lower cell input requirements, lower sequencing depth requirements, and increased sensitivity with reduced background signal due to a lack of cross-linking agents that otherwise mask antibody epitopes.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Centre for the Technologies of Gene and Cell Therapy, National Institute of Chemistry, Hajdrihova 19, SI1000 Ljubljana, Slovenia.
The emerging field of precision medicine relies on scientific breakthroughs to understand disease mechanisms and develop cutting-edge technologies to overcome underlying genetic and functional aberrations. The establishment of the Centre of Excellence for the Technologies of Gene and Cell Therapy (CTGCT) at the National Institute of Chemistry (NIC) in Ljubljana represents a significant step forward, as it is the first centre of its kind in Slovenia. The CTGCT is poised to spearhead advances in cancer immunotherapy and personalised therapies for neurological and other rare genetic diseases.
View Article and Find Full Text PDFHeliyon
December 2024
Human and Animal Physiology, Department Animal Sciences, Wageningen University, De Elst 1, 6708WD, Wageningen, the Netherlands.
Label-free imaging is routinely used during cell culture because of its minimal interference with intracellular biology and capability of observing cells over time. However, label-free image analysis is challenging due to the low contrast between foreground signals and background. So far various deep learning tools have been developed for label-free image analysis and their performance depends on the quality of training data.
View Article and Find Full Text PDFFront Bioinform
December 2024
Bioengineering Unit, Life Sciences Department, Walloon Agricultural Research Centre, Gembloux, Belgium.
Background: The study of sample taxonomic composition has evolved from direct observations and labor-intensive morphological studies to different DNA sequencing methodologies. Most of these studies leverage the metabarcoding approach, which involves the amplification of a small taxonomically-informative portion of the genome and its subsequent high-throughput sequencing. Recent advances in sequencing technology brought by Oxford Nanopore Technologies have revolutionized the field, enabling portability, affordable cost and long-read sequencing, therefore leading to a significant increase in taxonomic resolution.
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