United States Department of the Army

About: United States Department of the Army is a government organization based out in Arlington, Virginia, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 32668 authors who have published 42453 publications receiving 947075 citations. The organization is also known as: DA & U.S. Department of the Army.

Genital herpes: a review.

Abstract: Genital herpes simplex virus infection is a recurrent, lifelong disease with no cure. The strongest predictor for infection is a person's number of lifetime sex partners. The natural history includes first-episode mucocutaneous infection, establishment of latency in the dorsal root ganglion, and subsequent reactivation. Most infections are transmitted via asymptomatic viral shedding. Classic outbreaks consist of a skin prodrome and possible constitutional symptoms such as headache, fever, and inguinal lymphadenopathy. As the infection progresses, papules, vesicles on an erythematous base, and erosions appear over hours to days. These lesions usually crust, re-epithelialize, and heal without scarring. First-episode infections are more extensive: primary lesions last two to six weeks versus approximately one week for lesions in recurrent disease. Atypical manifestations are common. Infected persons experience a median of four recurrences per year after their first episode, but rates vary greatly. Genital herpes simplex virus type 2 recurs six times more frequently than type 1. Viral culture is preferred over polymerase chain reaction testing for diagnosis. Serologic testing can be useful in persons with a questionable history. Effective oral antiviral medications are available for initial, episodic, and suppressive therapy but are not a cure. There is some evidence that alternative therapies such as L-lysine, zinc, and some herbal preparations may offer some benefit. Counseling patients about the risk of transmission is crucial and helps prevent the spread of disease and neonatal complications.

Intelligent Hybrid Vehicle Power Control—Part II: Online Intelligent Energy Management

Abstract: This is the second paper in a series of two that describe our research in intelligent energy management in a hybrid electric vehicle (HEV). In the first paper, we presented the machine-learning framework ML_EMO_HEV, which was developed for learning the knowledge about energy optimization in an HEV. The framework consists of machine-learning algorithms for predicting driving environments and generating the optimal power split of the HEV system for a given driving environment. In this paper, we present the following three online intelligent energy controllers: 1) IEC_HEV_SISE; 2) IEC_HEV_MISE ; and 3) IEC_HEV_MIME. All three online intelligent energy controllers were trained within the machine-learning framework ML_EMO_HEV to generate the best combination of engine power and battery power in real time such that the total fuel consumption over the whole driving cycle is minimized while still meeting the driver's demand and the system constraints, including engine, motor, battery, and generator operation limits. The three online controllers were integrated into the Ford Escape hybrid vehicle model for online performance evaluation. Based on their performances on ten test drive cycles provided by the Powertrain Systems Analysis Toolkit library, we can conclude that the roadway type and traffic congestion level specific machine learning of optimal energy management is effective for in-vehicle energy control. The best controller, IEC_HEV_MISE, trained with the optimal power split generated by the DP optimization algorithm with multiple initial SOC points and single ending point, can provide fuel savings ranging from 5% to 19%. Together, these two papers cover the innovative technologies for modeling power flow, mathematical background of optimization in energy management, and machine-learning algorithms for generating intelligent energy controllers for quasioptimal energy flow in a power-split HEV.

Sand Mixtures and Sand Movement in Fluvial Model

Abstract: The manner in which solid matter is transported by running water (leaving out of consideration material that is transported in chemical solution or by flotation), may be classified in two ways, as ...

Effects of oxandrolone on outcome measures in the severely burned: A multicenter prospective randomized double-blind trial

Abstract: Severe burns induce pathophysiologic problems, among them catabolism of lean mass, leading to protracted hospitalization and prolonged recovery. Oxandrolone is an anabolic agent shown to decrease lean mass catabolism and improve wound healing in the severely burned patients. We enrolled 81 adult subjects with burns 20% to 60% TBSA in a multicenter trial testing the effects of oxandrolone on length of hospital stay. Subjects were randomized between oxandrolone 10 mg every 12 hours or placebo. The study was stopped halfway through projected enrollment because of a significant difference between groups found on planned interim analysis. We found that length of stay was shorter in the oxandrolone group (31.6 +/- 3.1 days) than placebo (43.3 +/- 5.3 days; P < .05). This difference strengthened when deaths were excluded and hospital stay was indexed to burn size (1.24 +/- 0.15 days/% TBSA burned vs 0.87 +/- 0.05 days/% TBSA burned, P < .05). We conclude that treatment using oxandrolone should be considered for use in the severely burned while hepatic transaminases are monitored.