Identification, Diagnosis, Counseling, and Referral of Overweight Military Dependent Children to Reverse Early Childhood Obesity

Since 1980, the obesity rate in children 5 to 11 years of age has increased from 7% to 18%. The lack of structured physical activity and poor dietary habits childhood are primary risk factors for obesity related comorbidities in adulthood. Guided by primary care providers, families can reverse childhood obesity by implementing healthy dietary habits and engaging in structured physical activity. The purpose of this quality improvement project was to develop an evidenced-based policy with procedures to standardize the timely and consistent identification of overweight children at a primary care clinic serving military families. With an emphasis on obesity prevention within families through primary care interventions, the revised health belief model guided the project design. A literature review was conducted in a systematic manner to identify effective strategies and interventions to inform the policy development. Then, the Delphi technique guided a 12-member expert panel to evaluate the policy and procedures in terms of the level of evidence and the implementation plan with the goal of achieving consensus with recommendations for revisions. Consensus was achieved with multiple revisions following the completion of two Delphi rounds. The first panel session (n=12) concluded with a 70% consensus, including recommended revisions to improve the policy implementation. The second panel session (n=12) concluded with 100% consensus for the revised policy. The final policy and procedures addressed the clinical practice gap with a robust process to identify, counsel, and refer overweight children to external specialty programs for obesity management. By intervening to reverse the progression of childhood obesity, this project achieved positive social change at an organization level

Electrical properties of nitrogen doped GaP

Journal ArticleThe electrical properties namely, electron concentration and mobility, have been investigated in the temperature range from 53 to 400 K for undoped and nitrogen-doped VPE GaP

The New American Gazette: Henry Kissinger with Gerald R. Ford at Ford Hall Forum, transcript

Nobel Peace Prize laureate and former Secretary of State Henry Kissinger reviews domestic affairs and world events with former President Gerald Ford. They discuss U.S. foreign policy, issues facing the Soviet Union, and the situation of reform in China. The forum was recorded at the Gerald R. Ford Foundation in Grand Rapids, Michigan and broadcast on the New American Gazette radio. The program was introduced by host Marvin Kalb.https://dc.suffolk.edu/fhf-av/1005/thumbnail.jp

GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification with Applications in Cheminformatics

Graph data mining is an active research area. Graphs are general modeling tools to organize information from heterogeneous sources and have been applied in many scientific, engineering, and business fields. With the fast accumulation of graph data, building highly accurate predictive models for graph data emerges as a new challenge that has not been fully explored in the data mining community. In this paper, we demonstrate a novel technique called graph pattern diffusion (GPD) kernel. Our idea is to leverage existing frequent pattern discovery methods and to explore the application of kernel classifier (e.g., support vector machine) in building highly accurate graph classification. In our method, we first identify all frequent patterns from a graph database. We then map subgraphs to graphs in the graph database and use a process we call “pattern diffusion” to label nodes in the graphs. Finally, we designed a graph alignment algorithm to compute the inner product of two graphs. We have tested our algorithm using a number of chemical structure data. The experimental results demonstrate that our method is significantly better than competing methods such as those kernel functions based on paths, cycles, and subgraphs