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Reaccreditation and Pathways Recognition Experiences of Small Local and Tribal Health Departments.

J Public Health Manag Pract

November 2024

Author Affiliations: Prevention Research Center, Brown School, Washington University in St. Louis, St. Louis, Missouri (Allen and Crenshaw); Department of Health Policy and Organization, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama (Fifolt); School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama (Erwin); Research and Evaluation, Public Health Accreditation Board, Alexandria, Virginia (Lang, Belflower Thomas, and Kuehnert); and Lipstein Distinguished Professor of Public Health, Prevention Research Center, Brown School, and Alvin J. Siteman Cancer Center and Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine; Washington University in St. Louis, St. Louis, Missouri (Brownson).

Context: This paper describes experiences and views of leadership teams from 4 small local health departments (LHDs) seeking Public Health Accreditation Board (PHAB) reaccreditation or Pathways Recognition using PHAB Standards & Measures Version 2022. The Pathways program launched in 2022 provides additional supports for improvement of public health practice.

Objective: Given the need to accelerate accreditation among small health departments, the purpose of this study is to share small health departments' strategies for overcoming accreditation challenges and actionable advice for use by other health departments.

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Slip flow, a fluid flow enhanced in comparison to that calculated using continuum equations, has been reported for many nanopores, mostly those with hydrophobic surfaces. We investigated the flow of water, hexane, and methanol through hydrophilic nanopores in silica colloidal crystals. Three silica sphere sizes were used to prepare the crystals: 150 ± 30, 500 ± 40, and 1500 ± 100 nm.

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Purpose: Radiological follow-up of oncology patients requires the detection of metastatic lung lesions and the quantitative analysis of their changes in longitudinal imaging studies. Our aim was to evaluate SimU-Net, a novel deep learning method for the automatic analysis of metastatic lung lesions and their temporal changes in pairs of chest CT scans.

Materials And Methods: SimU-Net is a simultaneous multichannel 3D U-Net model trained on pairs of registered prior and current scans of a patient.

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The present study aimed to explore the validity and inter-device reliability of a novel artificial intelligence app (Asstrapp) for real-time measurement of the traditional (tra505) and modified-505 (mod505) change of direction (COD) tests. Twenty-five male Sports Science students (age, 23.5 ± 3.

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Pt ( = 1, 3, and 4) Cluster-Modified MoSe Nanosheets: A Potential Sensing and Scavenging Candidate for Lithium-Ion Battery State Characteristic Gases.

Langmuir

January 2025

State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.

Realizing reliable online detection of characteristic gases (H, CH, CO, and CO) in lithium-ion batteries is crucial to maintain the safe and stable operation of power equipment and new energy storage power plants. In this study, transition metal Pt ( = 1, 3, and 4) clusters are attached to MoSe nanosheets for the first time based on density functional theory using the perfect crystalline facet modification method, and the adsorption characteristics and electronic behaviors of H, CH, CO, and CO are investigated and enhanced. The results show that Pt ( = 1, 3, and 4) is reliably chemically connected to the substrate without any significant deformation of the geometry.

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