United States Department of the Navy

Post-acute COVID-19 is a syndrome characterized by the persistence of clinical symptoms beyond 4 weeks from the onset of acute symptoms. Over 250,000 Department of Defense service members have recovered or are recovering from acute COVID-19, and the range of symptoms and physiological changes can impact the medical readiness of military service members. Understanding the chronic illness among some of the active-duty personnel with this virus is needed to begin finding treatments to reduce their symptoms and improve their health outcomes. This was a longitudinal, descriptive study designed to examine the prevalence and persistence of the symptoms of active-duty military persons who have post-COVID-19 syndrome. We obtained data from electronic health records (EHRs) of clinics and hospitals of the armed services from U.S. military bases. The de-identified data set came from the Department of Defense Military Health System Data Repository (MDR) which is a centralized data repository established to capture, archive, validate, integrate, and distribute Defense Health Agency (DHA) data worldwide. The most prevalent symptom was pulmonary related, affecting 22.4 % of individuals with post-COVID-19 syndrome. The second most prevalent symptom was neurological problems (14.6 %), followed by fatigue (13.5 %), digestive issues (12.5 %), and fever (11.5 %). Approximately 3.7 % of military personnel with post-COVID-19 experienced cognitive symptoms however, they had the greatest persistence, followed by pulmonary related, fatigue, and neurological symptoms. Based on the symptoms identified, finding treatments for post-COVID-19 syndrome is needed particularly for military personnel to maintain fitness and readiness.

Influenza epidemics tend to impact the poorest populations living in dense, unhealthy conditions more than the wealthier living in healthier, less dense surroundings. This study shows how the relationship between influenza mortality and the wealth of London's population during the Russian Flu pandemic of the early 1890's contradicts this conventional wisdom. This analysis examines London's 1890, 1891 and 1892 epidemic waves statistically and geographically, comparing wave flu mortality to population wealth, density and healthiness metrics. Correlation analysis shows that flu mortality directly correlates with wealth in all three waves; and inversely correlates with both population healthiness and density metrics. Some deficiencies exist in the 130-year-old data that pre- clude applying 21st-century rigor to the data analysis. For example, the causative agent of the flu was unknown at the time causing significant misidentification of causes of deaths. Nevertheless, analysis of the spatial association of flu mortality with population wealth using Lee's L statistic shows areas of both high mortality and high wealth in the wealthy areas east of the City of London, supporting the counterintuitive results of London's experience. This study does not seek to explain the reasons for these unexpected outcomes; however, the results suggest that today's metropolitan and regional planning authorities need to account for unexpected nuances in contingency plans for potential epidemics based upon best practice recommendations from appropriate national authori- ties. These plans need to consider previous local experience and must have a mechanism/process in place to detect and react to observed departures from the 'expected.'

Invensi ini berfokus pada pengembangan antena penerima yang digunakan untuk menguji kinerja alat bantu navigasi udara. Antena ini mencakup penerimaan sinyal dari sistem Instrumen Landing System (ILS) Localizer dan VHF Omni-Directional Range (VOR) pada frekuensi 108-118 MHz. Desain antena dikembangkan menggunakan software antenna design yang dapat membuat dan mensimulasikan parameter antena tersebut. Pada hasil simulasi antena ini bekerja pada frekuensi VHF navigation dengan nilai Return Loss -33,18 dB, VSWR 1,04, dan Bandwidth 16 MHz. Hasil pengukuran antena menunjukkan bahwa antena dapat bekerja pada frekuensi VHF navigation dengan nilai Return Loss -45,05 dB, VSWR 1,03, dan Bandwidth 3,7 MHz. Pada perancangan antena ini, diperoleh mikrostrip meander line dengan dimensi 340 mm x 190 mm yang dapat bekerja pada band frekuensi VHF navigation. Namun, antena ini hanya dapat beroperasi pada frekuensi kerja sesuai dengan bandwidth yang didapatkan saja.

By J. Nathan Kline, Edward Erwin & 1 more. Kline, Erwin, and Varsogea reflect on the importance of Army-Navy collegiality and cooperation in light of 250 years of chaplaincy and looking ahead to the Army-Navy game.

ABSTRACT Statistical‐dynamical downscaling is one method to model urban climate using global and regional climate model (GCM and RCM) results. In this study, different strategies for statistical‐dynamical downscaling are derived and evaluated. For the statistical part of downscaling, a Bivariate Skill Score is developed to quantify the overlap of the joint probability densities of two meteorological variables, which helps to quantify whether the statistically selected days are representative of the full climatology. Results show that for representing the winter climate of the selected urban area (Hamburg, Germany), more days need to be simulated than for summer climate (129 days vs. 40 days simulated). For the dynamical part of the downscaling (from ~20 km to 250 m), the mesoscale atmospheric model METRAS is used with two different grid structures: (a) downscaling with three one‐way nested domains and (b) downscaling with one domain employing a non‐uniform grid. The downscaling method with the non‐uniform grid is less expensive in preparing and computing resources than the method with tree one‐way nests. The evaluation shows that similar model results are achieved in both cases in the domain of interest. The evaluation of temperature, relative humidity, wind speed and wind direction with different metrics shows that METRAS performs well for summer and winter climate, and slightly better for summer. Furthermore, METRAS performs well with both downscaling methods and the evaluation measures are slightly better for the downscaling with the non‐uniform grid. For further downscaling of GCM or RCM results to a very local scale, for example, with obstacle resolving models, using a non‐uniform grid may be a good solution to reduce the number of necessary downscaling steps and the related work load for computer and humans.

We present an empirical investigation of the gradual progression of surface damage in spur gears using two data sources: oil monitoring and vibration measurements. The test stand was equipped with a commercial magnetic filter, and a novel test process was developed to remove particles from the magnetic filter and suspend it in oil. In addition, oil samples were drawn periodically to analyze using LaserNet Fines. Both data-driven and classical vibration-based condition indicators were computed and compared to a simple, image-based feature quantifying of the surface condition with some of the indicators showing more than 80\% correlation. Oil analyses found relatively large particles in the particles collected from the magnetic filter.

BackgroundBCM is an uncommon cytomorphologic variant with the potential to mimic unrelated neoplastic conditions, especially in the absence of a known cutaneous primary lesion or limited access to immunohistochemical stains.Case PresentationA 28-year-old male patient presented with recent onset parotid gland mass. The mass was excised, and the subsequent workup elicited an interpretation of metastatic balloon cell melanoma (BCM). Despite an extensive evaluation, no evidence of a primary tumor site was identified.DiagnosisThe diagnosis was confirmed based on positive staining for BRAF, HMB45, Melan-A, PRAME, S100, and SOX-10 in the malignant cells.ConclusionFamiliarity with the histologic and immunophenotypic findings may help to ensure an accurate diagnosis.