SERUM URIC ACID CONCENTRATION AND URINARY EXCRETION OF URIC ACID IN SUDANESE PATIENTS WITH GOUT

Objectives: To assess the relationship between serum uric acid concentration and urinary excretion of uric acid in patients with gout. Materials and Methods: Fifty three Sudanese patients with gout were included in this study; thirty three of them were gouty subjects not under treatment, twenty subjects were under treatment. Twenty normal subjects were used as control. The biochemical parameters included in this study were: serum uric acid, urine uric acid. Urine volume, pH, specific gravity, and urine crystals were also determined. Results: Serum uric acid concentration in gouty subjects not under treatment was significantly higher (p<0.01) as compared to control group. While serum uric acid concentration in gouty subjects under treatment was not significantly higher than the control group, the difference between means was statistically significant between gouty subjects not under treatment and control group. No significant differences were found for urine uric acid excretion. There was a weak positive correlation between serum uric acid concentration and urinary excretion of uric acid in gouty groups; however control group gave a weak negative sign. The risk factors, which were considered, were obesity (over weight), ethnic origin, and age. The difference between means for body weight and height was significantly higher (P<0.05) in gouty subjects compared with control group, and the difference between means for urine volume, urine specific gravity, and urine crystalls showed no significant effect on the three groups, while urine pH showed significant mean difference between these groups. Conclusion: The determination of serum uric is of good diagnostic value, whereas estimation of urine uric acid is of little diagnostic value. Urine crystals can be used only for screening for the investigation of urine uric acid crystals

Development and evaluation of packet video schemes

Reflecting the two tasks proposed for the current year, namely a feasibility study of simulating the NASA network, and a study of progressive transmission schemes, are presented. The view of the NASA network, gleaned from the various technical reports made available to use, is provided. Also included is a brief overview of how the current simulator could be modified to accomplish the goal of simulating the NASA network. As the material in this section would be the basis for the actual simulation, it is important to make sure that it is an accurate reflection of the requirements on the simulator. Brief descriptions of the set of progressive transmission algorithms selected for the study are contained. The results available in the literature were obtained under a variety of different assumptions, not all of which are stated. As such, the only way to compare the efficiency and the implementational complexity of the various algorithms is to simulate them

A robust coding scheme for packet video

We present a layered packet video coding algorithm based on a progressive transmission scheme. The algorithm provides good compression and can handle significant packet loss with graceful degradation in the reconstruction sequence. Simulation results for various conditions are presented

Second Language Instruction with Phonological Knowledge: Teaching Arabic to Speakers of English

This study examined whether explicit instruction in phonetics and the phonologies of English and Arabic improved the sound production and recognition skills of adult native speakers of English learning Arabic as a foreign language. The study utilized an intervention strategy that introduced the letters and sounds of Arabic to two groups of adult English-speaking learners of Arabic. Forty-six students of Arabic 101 at The University of Montana participated in the study as the control and experimental groups. The experimental group received instruction on the letters and sounds of Arabic with an introduction to phonetics and the phonologies of English and Arabic for a period of 20 classroom hours over a period of five weeks, whereas the control group received instruction on the letters and sounds of Arabic without the phonetics and English-Arabic phonology component for the same period of time. The two groups took a sound recognition pre-test, sound recognition post-test, and sound production post-test. Independent two-sample t-Tests were used to analyze the data collected from the tests. Students in the experimental group responded to a survey to reflect on their views on value of the instruction on the phonetics and English-Arabic phonology component. Data analysis resulted in important and statistically consistent differences in the sound production and sound recognition with the students in the experimental group achieving higher scores than the students in the control group, especially for those sounds that do not exist in English and for those that exist but have different allophonic distributions (p \u3c.001). For the most part, students in the experimental group stated that it is important to include this type of instruction when teaching a second language. The results of this study strongly suggest that including an introductory component to articulatory phonetics and the phonologies of the first and target languages improves sound production and sound recognition skills of adults learning a second language

Restimulation candidate selection using virtual intelligence

Due to the importance of well deliverability maintenance, a committee of specialists from Dominion East Ohio and other service companies meets every year to select the wells to be included in the deliverability maintenance plan. The application tool not only help in selecting the wells for deliverability maintenance plan but goes beyond that by designing the most optimum frac recipe.;The purpose of this study is to develop an engineering tool that will help petroleum engineers making a better decision for selecting well candidate and design well restimulation. The project focuses on a gas storage field and use data such as well location, stimulation time and recipe and deliverability statistics.;This tool reduces the time engineers spend designing optimum treatment schedules by proposing a solution based on virtual intelligence. Neural networks, genetic algorithms and a fuzzy support system are integrated into a software application to achieve the required goals.;The software application is a user-friendly application compiled in a Visual Basic programming language linked to and access database

Photosynthetic parameters change in Lycopersicon esculentum leaves under nutrient deficiencies

Lycopersicon esculentum leaves cultivated hydroponically for 24 and 48 hrs with various specific mineral deficits had their photosynthetic characteristics examined. After 24 hrs of K+, NO3-, and PO42- deficiency, a substantial induction of net photosynthetic rate was observed. The net photosynthetic rate of SO42-, Mg2+, Fe2+, NO3-, Ca2+ and PO42- deficits was significantly induced by the 48 hr exposure. After 24 hrs of deficiencies in SO42-, Mg2+, Fe2+, NO3-, Ca2+ and PO42-, stomata conductance was dramatically increased. Deficiencies in SO42-, Fe2+, NO3-, Ca2+ and PO42- were continuously induced over 48 hrs. After 24 hrs of SO42-, Fe2+, NO3-, Ca2+ and PO42- deficiencies, intercellular CO2 concentration shows a considerable induction. After 48 hrs of K+, SO42-, Mg2+ and NO3-deficits, this behavior remained strongly induced. Water use efficiency considerably decreased in response to these changes after 24 hrs of SO42-, Fe2+, NO3- and PO42- deficiencies and this effect continued after 48 hrs of Mg2+, NO3-, Ca2+ and PO42- deficiencies. Deficits in K+, SO42-, Mg2+, Fe2+, NO3-, Ca2+ and PO42- for 24 hrs dramatically increased transpiration rate, which was modified by those deficiencies. A 48 hr exposure to NO3-, Ca2+ and PO42- deficiency dramatically increased the transpiration rate. After 48 hrs, an SO42- deficit drastically decreased the transpiration rate. The findings indicate that after a short term of exposure, it may be possible to diagnose a specific mineral shortage and determine which mineral influenced the parameters of photosynthesis in such a way that the selected parameters responded in a manner that was consistent with the duration of exposure

Handwriting Difficulty Screening Tool based on Dynamic Data from Drawing Process

Children with handwriting difficulty are advised to join an intervention program to rectify the problem at an early stage. However, the available screening tools suffer from subjectivity judgement while lack of expertise reduces the chance for every student to be screened. Yet, digitalized screening tools that use dynamic data from writing activities are only applicable to those who know the language. These limitations had led this study to develop an objective handwriting difficulty screening tool based on dynamic data of drawings. Three attributes extracted from 120 sets of dynamic data from drawing process were found to be significant in differentiating below-average writers from average writers. The attributes were then used to train Support Vector Machine prediction model. To test the validity and reliability of the prediction model, additional sets of data were acquired from 36 pupils. The performance of the tool was compared with the results from the Handwriting Proficiency Screening Questionnaire (HPSQ) that employs teachers’ observations on pupils’ handwriting ability. With 78% reliability, 69% of the predictions made by the developed tool was in accordance with the teachers’ observation. Most importantly, 53% of the average writers were screened as having handwriting problems. This denotes the objectivity of the developed tool in identifying below-average writers who failed to be recognized through teacher’s observation

A resource aware MapReduce based parallel SVM for large scale image classification

Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords. Among them support vector machines (SVMs) are used extensively due to their generalization properties. However, SVM training is notably a computationally intensive process especially when the training dataset is large. This paper presents RASMO, a resource aware MapReduce based parallel SVM algorithm for large scale image classifications which partitions the training data set into smaller subsets and optimizes SVM training in parallel using a cluster of computers. A genetic algorithm based load balancing scheme is designed to optimize the performance of RASMO in heterogeneous computing environments. RASMO is evaluated in both experimental and simulation environments. The results show that the parallel SVM algorithm reduces the training time significantly compared with the sequential SMO algorithm while maintaining a high level of accuracy in classification

Evaluation of the hydrogen solubility and diffusivity in proton-conducting oxides by converting the PSL values of a tritium imaging plate

Proton-conducting oxides have potential applications in hydrogen sensors, hydrogen pumps, and other electrochemical devices including the tritium purification and recovery systems of nuclear fusion reactors. Although the distribution of hydrogen (H) in such oxide materials is an important aspect, its precise measurement is difficult. In the present study, the hydrogen solubility and diffusivity behavior of BaZr0.9Y0.1O2.95 (BZY), BaZr0.955Y0.03Co0.015O2.97 (BZYC), and CaZr0.9In0.1O2.95 (CZI) were studied using tritiated heavy water vapor i.e., DTO (~2 kPa, tritium (T) = 0.1%) by converting the photostimulated luminescence (PSL) values of the imaging plate (IP). The samples were exposed to DTO vapor at 673 K for 2 h or at 873 K for 1 h. The disc-shaped oxide specimens (diameter ~7.5 mm; thickness ~2.3 mm; theoretical density (TD) > 98 %) were prepared by conventional powder metallurgy. The IP images of the specimen surfaces of all the three materials T-exposed revealed that BZY showed the most uniform T distribution with the highest tritium activity. The cross-sectional T concentration profiles of the cut specimens showed that T diffused deeper into BZY and BZYC than into CZI. The hydrogen solubility and diffusivity in the CZI specimen were lower than that in the BZY and BZYC specimens. This suggested that barium zirconates were more favorable proton conductors than calcium zirconates.Comment: 19 pages, 12 figure