Architecture and Design of Medical Processor Units for Medical Networks

This paper introduces analogical and deductive methodologies for the design medical processor units (MPUs). From the study of evolution of numerous earlier processors, we derive the basis for the architecture of MPUs. These specialized processors perform unique medical functions encoded as medical operational codes (mopcs). From a pragmatic perspective, MPUs function very close to CPUs. Both processors have unique operation codes that command the hardware to perform a distinct chain of subprocesses upon operands and generate a specific result unique to the opcode and the operand(s). In medical environments, MPU decodes the mopcs and executes a series of medical sub-processes and sends out secondary commands to the medical machine. Whereas operands in a typical computer system are numerical and logical entities, the operands in medical machine are objects such as such as patients, blood samples, tissues, operating rooms, medical staff, medical bills, patient payments, etc. We follow the functional overlap between the two processes and evolve the design of medical computer systems and networks.Comment: 17 page

Lidar measurements of polar stratospheric clouds during the 1989 airborne Arctic stratospheric expedition

The Airborne Arctic Stratospheric Expedition (AASE) was conducted during January to February 1989 from the Sola Air Station, Norway. As part of this expedition, the NASA Langley Research Center's multiwavelength airborne lidar system was flown on the NASA Ames Research Center's DC-8 aircraft to measure ozone (O3) and aerosol profiles in the region of the polar vortex. The lidar system simultaneously transmitted laser beams at 1064, 603, 311, and 301.5 nm to measure atmospheric scattering, polarization and O3 profiles. Long range flights were made between Stavanger, Norway, and the North Pole, and between 40 deg W and 20 deg E meridians. Eleven flights were made, each flight lasting an average of 10 hours covering about 8000 km. Atmospheric scattering ratios, aerosol polarizations, and aerosol scattering ratio wavelength dependences were derived from the lidar measurements to altitudes above 27 km. The details of the aerosol scattering properties of lidar observations in the IR, VIS, and UV regions are presented along with correlations with the national meteorological Center's temperature profiles

Thought, Energy, Time and Social Confines of Knowledge

In this paper three virtual but dimensioned entities are used to contain knowledge while it is by itself abstract Knowledge resides in knowledge-banks of computers and the Internet More importantly knowledge resides in all living species The main emphasis is on the human species that construct their personalized knowledge structures and banks that they deploy to resolve their personal Needs Such needs drive behavior and adaptive Both these human characteristics are alive and get influence by human interaction These dimensions have human thought scientific and physical energy and time orientations It becomes feasible to build a hyperspace for knowledge and confine it in the three dimensions of thought anchored in the personality of an individual energy and time both anchored in both physiological and physical spaces We present the personality aspects based on the human needs that drive the human being a noun object n to perform actions one or more verb functions v in intelligent steps convolutions between n s and v s to gratify the needs Needs are inherent in human personality to maintain lif

Physico-Chemical Analysis of Soil Samples from Beed District, Maharashtra

from Beed district, Maharashtra, India. From the Beed district, ten different places were selected for study, and the soil samples were brought to the laboratory for physic-chemical analysis. These soil samples were employed for the analysis of pH, Electrical conductivity, Total organic carbon, Nitrogen, Phosphorous (P2O5), and Potassium The present study has been undertaken to find out the Physico-chemical characteristics of soil samples collected (K2O).  This study revealed that at different places of some places of Beed district have medium mineral contents, and at some places, mineral contents are of high

Design and Analysis of Butterfly Valve Disc Using Aluminium (1100) and Al-CNT4% Composite Material

Aluminium (1100) is an extensively used material in the application of water line and drainage applications. If the aluminium (1100) surface contacts the water, an oxide layer will be formed and it prevents the corrosion of aluminium (1100) when compared to other metal and also ithas less weight. But due to their low melting point and low hardness that will wear and deformed easily and cannot be used for high pressure applications. The metal aluminum (1100) will not meet all the required properties suitable for various engineering applications. The present study uses aluminium alloy or aluminium composite material which has the  higher melting point and hardness compare to aluminium (1100). In the present study butterfly valve which is commonly used for water line  application was designed by using Pro-E software and analyzed its  deflection using Ansys software. For the analysis, two  materials such asaluminium (1100) and aluminium carbon nanotube 4% was used and compared these two materials deflections, improvements in behaviors are noted. The results of the study indicates that deflection of Al-CNT4% composite is around 7 times lesser than aluminium (1100). Al-CNT4% is more stable than the aluminium (1100) for the application of butterfly valve disc

Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data

In medicine, one often bases decisions upon a comparative analysis of patient data. In this paper, we build upon this observation and describe similarity-based algorithms to risk stratify patients for major adverse cardiac events. We evolve the traditional approach of comparing patient data in two ways. First, we propose similarity-based algorithms that compare patients in terms of their long-term physiological monitoring data. Symbolic mismatch identifies functional units in long-term signals and measures changes in the morphology and frequency of these units across patients. Second, we describe similarity-based algorithms that are unsupervised and do not require comparisons to patients with known outcomes for risk stratification. This is achieved by using an anomaly detection framework to identify patients who are unlike other patients in a population and may potentially be at an elevated risk. We demonstrate the potential utility of our approach by showing how symbolic mismatch-based algorithms can be used to classify patients as being at high or low risk of major adverse cardiac events by comparing their long-term electrocardiograms to that of a large population. We describe how symbolic mismatch can be used in three different existing methods: one-class support vector machines, nearest neighbor analysis, and hierarchical clustering. When evaluated on a population of 686 patients with available long-term electrocardiographic data, symbolic mismatch-based comparative approaches were able to identify patients at roughly a two-fold increased risk of major adverse cardiac events in the 90 days following acute coronary syndrome. These results were consistent even after adjusting for other clinical risk variables.National Science Foundation (U.S.) (CAREER award 1054419

Preliminary assessment of the effect of waterseeding technique and herbicide application on weedy rice tillers

Metsulfuron methyl has been recommended to control weedy rice under wetseeded conditions (Zainal and Azmi, unpubl. data, 1994). Another weed control method involves broadcasting pregerminated seeds using the water-seeding technique. This study was undertaken to evaluate the effect of seeding methods and herbicide application on weedy rice tillers 45 d after sowing (DAS). A factorial experiment was carried out in a glasshouse at Putra University Malaysia. Treatment 1 (T1) was the wet-seeding method—broadcasting seed on saturated soil and introducing water up to 10-cm flooding depth 7 d after seeding with (H1) and without herbicide (H0). Treatment 2 (T2) was water seeding—continuous flooding at 10-cm depth from seeding to date of data collection with H1 and H0. All treatments were replicated five times and arranged in a factorial randomized complete block design. Both weedy rice seeds and pregerminated MR219 seeds were sown on the soil surface (Tropic Fluvaquent) into 25.5-cm-diameter × 40-cm-high experimental containers using the MARDI-recommended seed rate (500 seeds m–2) (MARDI 2004) to achieve uniform establishment. Herbicide (metsulfuron methyl 1.75% combined with bensulfuron methyl 8.25%) was applied 14 DAS at 0.05 kg ai ha–1. Water was brought in 7 DAS for treatments with herbicide (T1) to facilitate herbicide application. The effects of water seeding and herbicide application on tillering ability of weedy rice (45 DAS) were analyzed using ANOVA. The means of these treatments were compared using Duncan’s new multiple range test. Only the seeding method was significantly different at P ≤0.05. There were no significant effects or interactions for the other sources of variation tested (see table). Weedy rice tillers decreased in both seeding methods (see figure)

Prevalence of Fibrocalculous Pancreatic Diabetes in Chennai in South India

Fibrocalculous pancreatic diabetes is a form of diabetes secondary to chronic pancreatitis found in tropical, developing countries. There is no population based data on prevalence of fibrocalculous pancreatic diabetes. This paper reports on prevalence of fibrocalculous pancreatic diabetes in Chennai in South India based on the Chennai Urban Rural Epidemiology Study