The use of network analysis as a tool has increased exponentially as more clinical researchers see the benefits of network data for modeling of infectious disease transmission or translational activities in a variety of areas, including patient-caregiving teams, provider networks, patient-support networks, and adoption of health behaviors or treatments, to name a few. Yet, relational data such as network data carry a higher risk of deductive disclosure. Cases of reidentification have occurred and this is expected to become more common as computational ability increases.
View Article and Find Full Text PDFPlatinum-based chemotherapy in combination with anti-PD-L1 antibodies has shown promising results in mesothelioma. However, the immunological mechanisms underlying its efficacy are not well understood and there are no predictive biomarkers to guide treatment decisions. Here, we combine time course RNA sequencing (RNA-seq) of peripheral blood mononuclear cells with pre-treatment tumor transcriptome data from the single-arm, phase 2 DREAM trial (N = 54).
View Article and Find Full Text PDFThe aim of this study was to compare the acute effect of three cluster set (CS) intra-set rest intervals (15 s, 30 s, and 45 s) on mechanical performance measures during a flywheel resistance training session. Twelve amateur male field sport athletes attended three training measurement sessions (separated by 14 days of wash-out), consisting of four sets of nine repetitions (as cluster-blocks: 3 + 3 + 3), using a 0.050 kg·m inertial load.
View Article and Find Full Text PDF: Place-based initiatives (PBIs) invest in a geographic area and often build community power to improve well-being. However, there can be differences in results for different groups within a community. : In six communities, we measured differences in "power to" by race/ethnicity at two points for the first phase of the PBI Healthy Places North Carolina (HPNC) using five indicators: (1) representation in network of actors collaborating to improve health, (2) leadership attributes, (3) perceived change in attributes due to HPNC, (4) network centrality, and (5) perceived change in network ties due to HPNC.
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