On the integration of data and mathematical modeling languages

This paper examines ways in which the addition of data modeling features can enhance the capabilities of mathematical modeling languages, and demonstrates how such integration might be achieved as an application of the embedded languages technique proposed by Bhargava and Kimbrough. Decision making, and decision support systems, require the representation and manipulation of both data and mathematical models. Several data modeling languages as well as several mathematical modeling languages exist, but they have differences sets of capabilities. We motivate with a detailed example the need for the integration of these languages. We describe the benefits that might result, and claim that this could lead to a significant improvement in the functionality of model management systems. Then we present our approach for the integration of these languages, and specify how the claimed benefits are realized.This paper examines ways in which the addition of data modeling features can enhance the capabilities of mathematical modeling languages, and demonstrates how such integration might be achieved as an application of the embedded languages technique proposed by Bhargava and Kimbrough, [4]Decision-making, and decision support systems, require the representation and manipulation of both data and mathematical models. Several data modeling languages as well as several mathematical mod- eling languages exist, but they have differences sets of capabilities. We motivate with a detailed example the need for the integration of these languages. We describe the benefits that might result, and claim that this could lead to a significant improvement in the functionality of model management systems. Then we present our approach for the integration of these languages, and specify how the claimed benefits are realized.Naval Postgraduate School, Monterey, California.Approved for public release; distribution is unlimited

Preliminary studies on nannoplankton productivity

The contribution of the nannoplankton to the total productivity was studied for nine months in coastal waters of Cochin. On an average, - nannoplankton accounted for 66.40% of the observed productivity. The mean assimiIation ratios between the total algal and nannoplankton fraction were very low (1.29 and 0.94 respectively)

AN EXPERIMENTAL EVALUATION OF ANTI-INFLAMMATORY ACTION OF ROOT OF APARAJITA (CLITORIA TERNATEA LINN.) IN ALBINO RATS

Plants have played a major role in the production of biological compounds for the formation of drugs. Their role may either become a base for the development of medicine, a natural blue print for the development of new drugs or a phytomedicine to be used for the treatment of diseases. Acharya Charaka has quoted that none of the plants found around us are non-medicinal. Clitoria ternatea commonly known as Aparajita or Butterfly pea is a medicinal plant belonging to the family Fabaceae. In various Ayurvedic classics and Ayurvedic material medica, this plant is reported to be used in insect bites, skin diseases, asthma, burning sensation, inflammation, leucoderma, leprosy and pulmonary tuberculosis.A good number of anti-inflammatory drugs are available in modern medicine, among them some are expensive and some are having adverse effects in long term uses. Thus a need arises to find a safer and efficient drug from the natural resources, which will be simple, effective and not having any adverse effect. In the present study, preliminary phytochemical study and anti-inflammatory study of Kashayam (decoction) of root of Aparajita were carried out to confirm the presence of various phytochemical substances and to determine the anti-inflammatory action against diclofenac sodium in carrageenan induced rat paw edema model. The results of experimental study showed significant anti-inflammatory action of Kashayam (decoction) of Aparajita roots in acute inflammation compared to control and near to the action of diclofenac sodium, which suggests that Aparajita is potential natural anti-inflammatory drug

Contribution of microplankton and nannoplankton in the waters of a tropical estuary

Four different size groups of algae were sampled from Cochin Backwater by passing sea water through different grades of bolting nylon. C assimilation, chlorophyll (chl.) a concentration and cell numbers of each size group were determined throughout the year along with those of non-fractionated material. The contribution of nannoplankton, largely composed of diatoms, was found to be much greater than that of microplankton throughout the year. Pooled values of fractionated material agreed closely with those of non-fractionated material, but no regular seasonal trend was found in photosynthesis, chl. a and cell numbers of any size group. A greater dominance of nannoplankton as primary producers over microplankton seems relevant to food chain considerations, as filter-feeding larval stages are probably able to utilize nannoplankton more efficiently than microplankton

Etiological review and outcome of thrombocytopenia in pregnancy in the tertiary care centre

Background: Objective of the study was to identify and analyse the etiology of thrombocytopenia in pregnancy and review the evaluation of thrombocytopenia and its outcome in pregnancy. Methods: Retrospective study conducted at D. Y. Patil Hospital, Kolhapur, Maharashtra, India, from January 2021 to January 2023, in the Department of Obstetrics and Gynecology. All the antenatal women admitted in the ward of obstetrics and gynecology with platelet count less than 1 lakh/cubic cc were included in the study. Thorough evaluation for the cause of thrombocytopenia and outcome of the patient were collected and results were analyzed. Results: Out of 3319 deliveries, 100 patients had platelet counts less than 1 lakh. Overall, in the present study, Gestational thrombocytopenia (38%) is the most common cause of low platelets in pregnancy, followed by pre-eclampsia (20%) and DIC (16%). The rest of the etiologies rarely cause thrombocytopenia in pregnancy (<10%). Conclusions: Despite thrombocytopenia is a common abnormality in pregnancy, it seldom leads to life-threatening complications by itself. By contrast, a significant thrombocytopenia associated with medical conditions can have serious maternal-fetal consequences and requires appropriate management. The management of thrombocytopenia focuses on the underlying cause/etiology which is challenging because there are many potential causes, some directly related to the pregnancy and some unrelated. Cause directed therapies, if promptly administered, may significantly improve the maternal and fetal outcomes. Study intended to evaluate the wide spectrum of causes for thrombocytopenia in pregnancy and its outcome. Preeclampsia with or without HELLP syndrome is found to be very important cause of severe thrombocytopenia and attributed with maternal complications. while the perinatal outcome of gestational thrombocytopenia and immune thrombocytopenic purpura is basically favourable

Production of dissolved carbohydrate (DCHO) in three Unialgal cultures

Production of dissolved carbohydrate (DCHO) in the unialgal cultures of Tetraselmis gracilis, Chlorella salina and Synechocystis salina was studied in the laboratory for a period of 31 days. DCHO values ranged from 0.5 to 25.0 mg/1 in T. gracilis culture, the range of variation in C. salina and S. salina was 0.5 to 8.5 mg/1. Both in T. gracilis and in S.salina cultures, the DCHO values showed an increasing trend towards the end of stationary phase, whereas in C. salina, the production of DCHO could not be attributed to any particular phase of growth of the culture. The fluctuations of DCHO values for a given number of cells showed that it is not the number but the physiological state of the organisms that influences the production of DCHO. No definite relationship or trend was evident between DCHO and the bacterial counts

Studies on dissolved carbohydrate content (DCHO) in a tropical estuary

Variations in dissolved carbohydrate content in the Cochin Backwater over a period of 24 hours have been given. The DCHO was measured at 2-hour intervals. Its maximum concentration was recorded at 1630 hrs and the minimum at 0430 hrs. Carbon assimilation as a percentage of carbon released in DCHO was 45.29 % as determined by the experimental method and 84.11 % by direct sampling method

OPTIMIZING CIRCUIT PARTITIONING BY IMPLEMENTING DATA MINING AND VHDL TOOLS PERTINENT TO VLSI DESIGN 1 2 3 4

Abstract Key words: The relevance of VLSI in performance computing, telecommunications, and consumer electronics has been expanding progressively, and at a very hasty pace. In order to build complex digital logic circuits it is often essential to sub-divide multi -million transistors design into manageable pieces. Circuit partitioning is a general approach used to solve problems that are too large and complex to be handled at once. In partitioning, the problem is divided into small and manageable parts recursively, until the required complexity level is reached. In the area of VLSI, circuit complexity is rapidly multiplying, together with the reducing chip sizes; the integrated chips being produced today are highly sophisticated. There are many diverse problems that occur during the development phase of an IC that can be solved by using circuit partitioning which aims at obtaining the sub circuits with minimum interconnections between them. This paper aims at circuit partitioning using clustering technique by applying two clustering algorithms K-Means and PAM(Partitioning around mediods). These two algorithms were tested on a BCD to Seven Segment Code Converter circuit consisting of eight nodes and also were tested on a circuit consisting of 15 nodes. The two algorithms were implemented on VHDL. The tested results show that PAM yield better subcircuits than K-Means