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Practitioners in health departments, university extension programs, and nonprofit organizations working in public health face varied challenges to publishing in the peer-reviewed literature. These practitioners may lack time, support, skills, and efficacy needed for manuscript submission, which keeps them from sharing their wisdom and experience-based evidence. This exclusion can contribute to literature gaps, a failure of evidence-based practice to inform future research, reduced ability to educate partners, and delays in advancing public health practice. Our article describes the writing workshops offered to Division of Nutrition, Physical Activity, and Obesity (DNPAO), Centers for Disease Control and Prevention (CDC) funded programs in 2021. This project consisted of three 60-minute introductory writing webinars open to all recipients, followed by a Writing for Publications workshop, an 8- to 9-week virtual learning/writing intensive for selected writing team applicants. The Society for Public Health Education staff, consultants, and CDC/DNPAO staff developed, refined, and presented the curriculum. The workshop for public health practitioner writing teams was offered to two cohorts and included extensive coaching and focused on potential submission to a Health Promotion Practice supplement, “Reducing Chronic Disease through Physical Activity and Nutrition: Public Health Practice in the Field” (see Supplemental Material), which was supported by CDC/DNPAO. We describe the webinars, the workshop design, modifications, evaluation methods and results.

Background: Ventilator associated pneumonia (VAP) is considered to be second most common nosocomial infection patients requiring critical care. Aims and Objective: The present study was conducted to study the role of colonizers and importance of surveillance cultures of endotracheal aspirate (ETA) in the diagnosis of ventilator associated pneumonia in a tertiary care hospital in Lucknow. Materials and Methods: An observational longitudinal study was conducted over a period of 2 years, on a total of 210 critically ill patients on mechanical ventilation for >48hrs, to identify the common isolates from ETA culture. Follow up of such patients was done to know the role of these isolates in causation of Ventilator Associated Pneumonia (VAP). Patients fulfilling both clinical Pulmonary infection score (CPIS>6) and microbiological criteria were diagnosed as VAP. Those microorganisms with a colony count of less

Twenty-two sunflower germplasms were screened for resistance to Macrophomina phaseolina to select parental genetic resources useful for the development of charcoal rot-resistant sunflower cultivars. Potting soil inoculated with pathogen (10 mL pot-1, 2 × 105 sclerotia mL-1) sown with sunflower seeds was examined for disease severity index (%), disease incidence (%), mortality (%), and growth inhibition index (%) 90 d after inoculation. None of the germplasm was disease-free; four were found to be resistant, five moderately resistant, six moderately susceptible, five susceptible, and two highly susceptible. All inoculated plants exhibited disease symptoms both externally and internally. Mild to severe symptoms included brown lesions on aboveground plant, pith disintegration in stem, and shredded appearance of tap root. Histopathological features exposed different colonization mechanism of the pathogen in the resistant and susceptible cultivars. Physical blockage, tissue disintegration, blackening and rupturing of cortical, pith and vascular regions by fungal mycelia, and sclerotia and pycnidia causing large spaces in the center of stem rendered it a hollow structure in all susceptible germplasm. However, stem and root tissues of the resistant germplasm indicated local infection restricted to few cells. This suggested expression of true resistance genes in resistant germplasm. Therefore, the sunflower lines resistant to the M. phaseolina infection are potential genetic resources for the development of quality sunflower cultivars resistant to charcoal rot disease.

Twenty-two sunflower germplasms were screened for resistance to

Background: Smoking and smokeless tobacco is thought to have detrimentalimpact on oral as well as general health. Relationship of caries to tobacco is still unclear.Studies conducted worldwide reported tobacco as a risk factor for root caries. Use of tobaccomay be a co variable in this complex rather than direct etiological factors in caries occurance.Study Design: Descriptive cross sectional study. Setting: “Different colleges of Qasimabad(Hyderabad)’’. Period: 1st August to 31st October 2016. Materials and Methods: Sample sizeof 400 boys. Two groups were made 200 students boys in each group. (Group A) comprising ofsmokers Group B non-smokers or never users. Results: Students in Group (A) 16 years of age(11%) were having caries while (1.75%) were free from caries. Students of 19 years of age (10%)were having caries while (2.5%) were caries free. Over all caries present in this group was (41%)while caries free were (8.79%). According to Group B, Students who were 16 years of age whonever smoke caries present was in (3%), caries free were (9.25%). Students who were 17 yearsof age having caries (2.25%), caries free were (10.25%). Students with the age 19 years havingcaries present in (3.25%) caries free were (9%). Over all (10.5%) were having caries. While(39.5%) were free from caries. Conclusion: It is concluded that caries rate was high in smokers.

We introduce a generic, human-out-of-the-loop pipeline, ERLKG, to perform rapid association analysis of any biomedical entity with other existing entities from a corpora of the same domain. Our pipeline consists of a Knowledge Graph (KG) created from the Open Source CORD-19 dataset by fully automating the procedure of information extraction using SciBERT. The best latent entity representations are then found by benchnmarking different KG embedding techniques on the task of link prediction using a Graph Convolution Network Auto Encoder (GCN-AE). We demonstrate the utility of ERLKG with respect to COVID-19 through multiple qualitative evaluations. Due to the lack of a gold standard, we propose a relatively large intrinsic evaluation dataset for COVID-19 and use it for validating the top two performing KG embedding techniques. We find TransD to be the best performing KG embedding technique with Pearson and Spearman correlation scores of 0.4348 and 0.4570 respectively. We demonstrate that a considerable number of ERLKG’s top protein, chemical and disease predictions are currently in consideration for COVID-19 related research.