Design of a Prostate Cancer Patient Navigation Intervention for a Veterans Affairs Hospital

Patient navigation programs have been launched nationwide in an attempt to reduce racial/ethnic and socio-demographic disparities in cancer care, but few have evaluated outcomes in the prostate cancer setting. The National Cancer Institute-funded Chicago Patient Navigation Research Program (C-PNRP) aims to implement and evaluate the efficacy of a patient navigation intervention for predominantly low-income minority patients with an abnormal prostate cancer screening test at a Veterans Affairs (VA) hospital in Chicago

Navigating Veterans with an Abnormal Prostate Cancer Screening Test: A Quasi-Experimental Study

Prostate cancer disproportionately affects low-income and minority men. This study evaluates the impact of a patient navigation intervention on timeliness of diagnostic resolution and treatment initiation among veterans with an abnormal prostate cancer screen.MethodsParticipants were enrolled between 2006 and 2010. The intervention involved a social worker and lay health worker navigation team that assisted patients in overcoming barriers to care. For navigated (n = 245) versus control (n = 245) participants, we evaluated rates of diagnostic resolution and treatment and adjusted for race, age, and Gleason score

Studies on the alternative evaluation of improving hypoxia tolerance function in health foods

ObjectiveTo explore the feasibility of new test methods for evaluation of improving hypoxia tolerance function in health food.MethodsHypoxia tolerance experiments were carried out on mice. The zebrafish hypoxia model was established， and the improvement of zebrafish hypoxia movement and erythrocytosis were tested. A chemical hypoxia cell model was constructed with sodium disulfite， and cell activity and lactate dehydrogenase （LDH） activity were detected to verify their effect on hypoxia tolerance.ResultsCompared with normal control group， the hypoxia tolerance was improved in mice by health food sample. Compared with hypoxia model control groups， the sample improved zebrafish hypoxia， hypoxia-induced erycytosis， and alleviated the reduced cellular activity and increased LDH activity caused by cardiomyocyte hypoxia.ConclusionThe ability of the sample to improve hypoxia tolerance can be detected by three test systems in vitro as well as in vivo， and the introduction of alternative methods to animal testing for hypoxia tolerance tests is feasible

Improving colon cancer screening in community clinics: CRC Screening and Community Clinics

We evaluated the effectiveness and cost-effectiveness of two interventions designed to promote colorectal cancer (CRC) screening in safety-net settings

Experimental quantum computational chemistry with optimised unitary coupled cluster ansatz

Simulation of quantum chemistry is one of the most promising applications of quantum computing. While recent experimental works have demonstrated the potential of solving electronic structures with variational quantum eigensolver (VQE), the implementations are either restricted to nonscalable (hardware efficient) or classically simulable (Hartree-Fock) ansatz, or limited to a few qubits with large errors for the more accurate unitary coupled cluster (UCC) ansatz. Here, integrating experimental and theoretical advancements of improved operations and dedicated algorithm optimisations, we demonstrate an implementation of VQE with UCC for H_2, LiH, F_2 from 4 to 12 qubits. Combining error mitigation, we produce high-precision results of the ground-state energy with error suppression by around two orders of magnitude. For the first time, we achieve chemical accuracy for H_2 at all bond distances and LiH at small bond distances in the experiment. Our work demonstrates a feasible path towards a scalable solution to electronic structure calculation, validating the key technological features and identifying future challenges for this goal.Comment: 8 pages, 4 figures in the main text, and 29 pages supplementary materials with 16 figure

The Design Of Intelligent Filter For EEG

EEG data processing method is usually digital filter designed by the traditional method. Its disadvantage is the transition zone is wide and the filtering effect is poor. Using an improved particle swarm optimization algorithm on IIR digital filters design, the performances of filters designed by various methods are compared and analyzed. Experiments illustrate particle swarm optimization algorithm is effective in IIR filter design and its performance is promising

The Design Of Intelligent Filter For EEG

EEG data processing method is usually digital filter designed by the traditional method. Its disadvantage is the transition zone is wide and the filtering effect is poor. Using an improved particle swarm optimization algorithm on IIR digital filters design, the performances of filters designed by various methods are compared and analyzed. Experiments illustrate particle swarm optimization algorithm is effective in IIR filter design and its performance is promising

An analytical model of the growth of invisible bubbles on solid surfaces in a supersaturated solution

Heterogeneous nucleation of gas bubbles is central to many engineering fields, from boiling and heat transfer to cavitation and particle separation. In this paper, models accounting for the origin and growth of gas bubbles on solid surfaces in a supersaturated solution are proposed by applying the diffusion theory and the molecular-kinetic model. Both are validated by the available experimental results during the specific period. The theory provides an explanation for the bubbles’ growth from the pre-existing invisible nanobubbles on the submerged surface. The non-linear evolution of the bubble is attributed to the progression from the pinning stage to the floating stage, transition stage and expansion stage. In the pinning stage, when the base radius of the optically invisible surface bubbles is smaller than the critical value they are speculated to be stable with the constant base radius because of the equilibrium between the driving force of diffusion and the Laplace pressure. Otherwise, the contact line of the surface bubble will start to move, is no longer pinned, and continues to grow with a constant bubble radius, which is called the floating stage. This is followed by the transition stage in which both the bubble radius and contact angle change with time. The final expansion stage is characterised by the bubble growth with the constant contact angle. Unlike the classical Epstein-Plesset model for bubble growth in the bulk, the diffusion theory can satisfactorily predict the growth of surface bubbles while the molecular-kinetic model can only fit the floating and expansion stages