Academic literature on the topic 'Army Logistics Directorate'

The Armed Forces (AF) health care system of Ukraine today requires further improvement and development in the direction of unification and interoperability with the medical services ofNATO member countries. One of the important tasks facing the medical service of the Armed Forces ofUkraine, according to the Main Provisions of Logistics Provision of the Armed Forces ofUkraine, is the creation of a single effective system of resource management. The effectiveness of such a system is determined by the quality and reliability of the information used to control the flow processes. The aim of the work–а study of the singularities of the medical support of the troops in the integrated information network of logistic support of the Armed Forces of Ukraine. To achieve the purpose of the research, the analysis of the domestic and foreign scientific literature, the current regulatory framework of Ukraine was conducted. Research methods are: information search, contrast, arrangement and modeling. While conducting a study of the existing integrated information network of logistics support for military units and units of the Armed Forces of Ukraine it was found that this is one of the largest and most complex nodes. It was found that each node of the logistic information network is connected to other nodes of the transverse and longitudinal canals. The transverse canals connect the nodes inside the echelon, and the longitudinal canals connect the nodes between the echelons. Thus, the information network is a hierarchical network. It has been determined that the set of logistic support nodes is divided into three groups according to the research of foreign military scientists can be called: executives, operators and consumers. It is established that according to the current legislation in the information network of logistic support of the Armed Forces of Ukraine, the Main Military Medical Directorate, as a body managing the medical service of the Armed Forces of Ukraine, is on par with the Main Logistics Department of the General Staff of the Armed Forces of Ukraine. A study was conducted to study the peculiarities of the medical provision of troops in the integrated information network of logistical support of the Armed Forces of Ukraine. On the basis of theoretical generalization of data of scientific literature and normative-legal acts, the model of the current information network of logistical support of military units and units of the Armed Forces of Ukraine was constructed. The necessity to develop national decision support software in military logistics for the needs of the Armed Forces of Ukraine is identified.

<p><em>ABSTRACT - This conceptual paper proposes a model theory of applying strategic management to the field of personnel resource management. When a country is about to engage in war, one very important thing to understand is the characteristic of the war. In peacetime, the armed forces must prepare for wartime. No two wars are identical, because war is produced by The Paradoxical Trinity. Therefore, the big question is: what is the function and role of Adjutant General corps in this increasingly multidimensional war? The recruitment of adjutant general personnel can no longer rely solely on officers and staff and civil servants on the basis of qualifications as drafted in the Conception of the Adjutant General Transformation in order to support the basic tasks and functions of Army. The Adjutant General corps will also need officers and staff who have experience in the war </em><em>a</em><em>nd staff who have comprehensive analysis skill that includes the three elements of war in The Paradoxical Trinity. This means that Adjutant General should have a specialty in accurately analysing personnel’s capabilities. The main advantage of this scheme is allowing higher vigilance to anticipate war. The ability to receive data and then process it will affect the strength of the army as a whole. Upon this conclusion it is recommended to establish a new sub directorate which functions are to collect information on legislation, daily orders; organizing, inspecting, controlling, and mobilizing troops, military punishment, desertions and rotation of troops to then analyse it for the purpose of providing reports and suggestions for personnel/troop deployment, logistics and movements at headquarters and users. The breadth of this function will result in the importance of the improvement of the competence and position of the Directorate of Adjutant General from Brigadier General to Major General.</em></p>

Abstract Introduction Prior sleep studies have suggested that electroencephalography (EEG) spectral power and synchrony features in certain sleep stages differ significantly at the group-average level between subjects with and without post-traumatic stress disorder (PTSD). Here, we investigated whether a multivariate combination of sleep-stage independent EEG features could objectively identify individual subjects with PTSD. Methods We analyzed EEG data recorded from 78 combat-exposed veteran men with (n = 31) and without (n = 47) PTSD during two consecutive nights of sleep. For each subject we computed 780 features from 10 EEG channels covering the whole brain, by averaging the values over the entire night regardless of sleep stage. Using a training set consisting of the first 47 consecutive subjects (18 with PTSD) of the study, we performed univariate feature selection and backward feature elimination using a logistic regression model. We then evaluated the model on the test set, which consisted of the remaining 31 subjects (13 with PTSD). We assessed model performance by computing the area under the receiver operating characteristic curve (AUC). Results Feature elimination using the logistic regression model yielded three uncorrelated features that were consistently discriminative of PTSD across the two consecutive nights. When we trained the logistic model consisting of these three features using data from both nights of the training set, the model yielded test-set AUCs of 0.84 and 0.80 for Night 1 and Night 2, respectively. These values were considerably larger than the test-set AUCs of the three individual features, which ranged from 0.55 to 0.74 across both nights. Conclusion We identified robust, stage-independent, whole-night features and combined them in a logistic regression model to discriminate subjects with and without PTSD. The model yielded AUCs above 0.80 on the test data, showing promise as an objective approach to diagnose PTSD at the individual level. Support This work was sponsored by U.S. Defense Health Program (grant No. W81XWH-14-2-0145) and managed by the U.S. Army Military Operational Medicine Program Area Directorate, Ft. Detrick, MD. The study was also supported by the Clinical and Translational Science Institute at the University of Pittsburgh (UL1 TR001857).

The increasing use of unattended sensors by the Information, Surveillance, and Reconnaissance community requires the development of higher power and energy density sources to provide increased capabilities and operation time while minimizing size and weight. Among the emerging power sources, fuel cell (FC) systems potentially offer an improved alternative to existing solutions. The Communications and Electronics Research and Development and Engineering Center/Command, Power & Integration Directorate/Army Power Division's Power Sources branch has been evaluating fuel cells to meet tactical power military applications. Testing of methanol based FC systems indicates 50% weight savings over a secondary Li-ion rechargeable system at 200 W h, and 30% weight savings over a primary Li battery at 600 W h. However, significant technical barriers to fuel cell based power sources for sensor deployment exist, including requirements for additional size and weight reduction to meet portable sensor design requirements. Additionally, testing of FC systems demonstrate the importance of appropriate battery hybridization to maintain load following as well as increasing system power density. A comparison of a Reformed Methanol FC system and a Direct Methanol FC system was also completed, and results for the system size, weight, and fuel consumption are similar for both technologies. To examine the benefits of larger power fuel cells appropriate for stationary unattended sensor use, a comparison of power and weight available from a solar/battery hybrid system versus a solar/battery/RMFC hybrid system was also completed. Although the solar/battery hybrid system's size and weight are larger than the hybrid system with an FC unit, 14 kg versus 8 kg, respectively, there is significant logistic burden when utilizing a FC system due to its methanol refueling requirement.

Since 2004, the Department of Defense (DoD) has had the stated goal of transitioning all engine systems to use a single fuel — JP-8. This “one fuel forward” initiative simplifies logistical issues, improves safety, and increases combat effectiveness. To improve technologies required to run Intermittent Internal Combustion (IIC) engines on lower volatility heavy fuels, the US Army Vehicle Technology Directorate (VTD) acquired and tested a small IIC engine and developed procedures allowing the operation of this engine on JP-8. The program consisted of engine simulation, engine testing and flight demonstration. Several strategies are presented to enhance the engine operation based on thermal management techniques and fuel injection.